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=Virial Equilibrium of Adiabatic Spheres (Summary)=

The summary presented here has been drawn from our 
[[SSC/Virial/PolytropesEmbedded/FirstEffortAgain|accompanying detailed analysis of the structure of pressure-truncated polytropes]].

==Detailed Force-Balanced Solution==

As has been [[SSC/Structure/PolytropesEmbedded#Embedded_Polytropic_Spheres|discussed in detail in another chapter]], {{ Horedt70full }}, {{ Whitworth81full }} and {{ Stahler83full }} have separately derived what the equilibrium radius, <math>R_\mathrm{eq}</math>, is of a polytropic sphere that is embedded in an external medium of pressure, <math>P_e</math>.  Their solution of the detailed force-balanced equations provides a pair of analytic expressions for <math>R_\mathrm{eq}</math> and <math>P_e</math> that are parametrically related to one another through [[SSC/Structure/Polytropes#Lane-Emden_Equation|the Lane-Emden function]], <math>\theta</math>, and its radial derivative.  For example &#8212; see our [[SSC/Structure/PolytropesEmbedded#Horedt.27s_Presentation|related discussion for more details]] &#8212; from {{ Horedt70 }} we obtain the following pair of equations:
<div align="center">
<table border="0" cellpadding="3">

<tr>
  <td align="right">
<math>
~\frac{R_\mathrm{eq}}{R_\mathrm{norm}} = r_a \cdot \biggl( \frac{R_\mathrm{Horedt}}{R_\mathrm{norm}} \biggr)
</math>
  </td>
  <td align="center">
<math>~=~</math>
  </td>
  <td align="left">
<math>
\tilde\xi ( -\tilde\xi^2 \tilde\theta' )^{(1-n)/(n-3)} \biggl[ \frac{4\pi}{(n+1)^n} 
\biggl( \frac{M_\mathrm{limit}}{M_\mathrm{tot}}\biggr)^{n-1} \biggr]^{1/(n-3)} \, ,
</math>
  </td>
</tr>

<tr>
  <td align="right">
<math>
~\frac{P_\mathrm{e}}{P_\mathrm{norm}} = p_a \cdot \biggl( \frac{P_\mathrm{Horedt}}{P_\mathrm{norm}} \biggr)
</math>
  </td>
  <td align="center">
<math>~=~</math>
  </td>
  <td align="left">
<math>
\tilde\theta^{n+1}( -\tilde\xi^2 \tilde\theta' )^{2(n+1)/(n-3)} 
\biggl[ \frac{(n+1)^3}{4\pi} \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{tot}} \biggr)^{-2}\biggr]^{(n+1)/(n-3)}  \, ,
</math>
  </td>
</tr>
</table>
</div>
where we have introduced the normalizations,

<div align="center">
<table border="0" cellpadding="3">

<tr>
  <td align="right">
<math>~R_\mathrm{norm}</math>
  </td>
  <td align="center">
<math>~\equiv</math>
  </td>
  <td align="left">
<math>~\biggl[ \biggl( \frac{G}{K} \biggr)^n M_\mathrm{tot}^{n-1} \biggr]^{1/(n-3)} \, ,</math>
  </td>
</tr>

<tr>
  <td align="right">
<math>~P_\mathrm{norm}</math>
  </td>
  <td align="center">
<math>~\equiv</math>
  </td>
  <td align="left">
<math>~\biggl[ \frac{K^{4n}}{G^{3(n+1)} M_\mathrm{tot}^{2(n+1)}} \biggr]^{1/(n-3)}  \, .</math>
  </td>
</tr>

</table>
</div>

In the expressions for <math>r_a</math> and <math>p_a</math>, the tilde indicates that the Lane-Emden function and its derivative are to be evaluated, not at the radial coordinate, <math>\xi_1</math>, that is traditionally associated with the "first zero" of the Lane-Emden function and therefore with the surface of the ''isolated polytrope,'' but at the radial coordinate, <math>~\tilde\xi</math>, where the internal pressure of the isolated polytrope equals <math>P_e</math> and at which the ''embedded'' polytrope is to be truncated.  The coordinate, <math>\tilde\xi</math>, therefore identifies the surface of the embedded &#8212; or, pressure-truncated &#8212; polytrope.  We also have taken the liberty of attaching the subscript "limit" to <math>M</math> in both defining relations because it is clear that {{ Horedt70 }} intended for the normalization mass to be the mass of the pressure-truncated object, not the mass of the associated ''isolated'' (and untruncated) polytrope.  

From these previously published works, it is not obvious how &#8212; or even ''whether'' &#8212; this pair of parametric equations can be combined to directly show how the equilibrium radius depends on the value of the external pressure.  Our examination of the free-energy of these configurations and, especially, an application of the viral theorem shows this direct relationship.  Foreshadowing these results, we note that,

<div align="center">
<table border="0" cellpadding="5">

<tr>
  <td align="right">
<math>~\biggl[ \biggl(\frac{P_e}{P_\mathrm{norm}}\biggr) \biggl(\frac{R_\mathrm{eq}}{R_\mathrm{norm}} \biggr)^4\biggr]_\mathrm{Horedt} </math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>
\biggl[ \frac{\tilde\theta^{n+1} }{(4\pi)(n+1)( -\tilde\theta' )^{2}} \biggr] 
\biggl( \frac{M_\mathrm{limit}}{M_\mathrm{tot}}\biggr)^{2} \, ;
</math>
  </td>
</tr>
</table>
</div>
or, given that <math>P_\mathrm{norm}R_\mathrm{norm}^4 = GM_\mathrm{tot}^2</math>, this can be rewritten as,

<div align="center">
<table border="0" cellpadding="5">

<tr>
  <td align="right">
<math>~\biggl[ \frac{P_e R_\mathrm{eq}^4}{G M_\mathrm{limit}^2} \biggr]_\mathrm{Horedt} </math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>
\frac{\tilde\theta^{n+1} }{(4\pi)(n+1)( -\tilde\theta' )^{2}}   \, .
</math>
  </td>
</tr>
</table>
</div>

==Free Energy Function and Virial Theorem==

The variation with size of the normalized free energy, <math>~\mathfrak{G}^*</math>, of pressure-truncated adiabatic spheres is described by the following,
<div align="center" id="FreeEnergyExpression">
<font color="#770000">'''Algebraic Free-Energy Function'''</font><br />

<math>
\mathfrak{G}^* = 
-3\mathcal{A} \chi^{-1} +~ \frac{1}{(\gamma - 1)} \mathcal{B} \chi^{3-3\gamma} +~ \mathcal{D}\chi^3 \, .
</math>
</div>
In this expression, the size of the configuration is set by the value of the dimensionless radius, <math>~\chi \equiv R/R_\mathrm{norm}</math>; as is clarified, below, the values of the coefficients, <math>~\mathcal{A}</math> and <math>~\mathcal{B}</math>, characterize the relative importance, respectively, of the gravitational potential energy and the internal thermal energy of the configuration; <math>~\gamma</math> is the exponent (from the adopted equation of state) that identifies the adiabat along which the configuration heats or cools upon expansion or contraction; and the relative importance of the imposed external pressure is expressed through the free-energy expression's third constant coefficient, specifically,
<div align="center">
<math>~\mathcal{D} \equiv \frac{4\pi}{3} \biggl( \frac{P_e}{P_\mathrm{norm}} \biggr) \, .</math>
</div>
When examining a range of physically reasonable configuration sizes for a given choice of the constants <math>(\gamma, \mathcal{A}, \mathcal{B}, \mathcal{D})</math>, a plot of <math>\mathfrak{G}^*</math> versus <math>\chi</math> will often reveal one or two extrema.  Each extremum is associated with an equilibrium radius, <math>\chi_\mathrm{eq} \equiv R_\mathrm{eq}/R_\mathrm{norm}</math>.

<table border="1" cellpadding="8" align="right"><tr>
<td align="center">Figure 1</td></tr><tr>
<td align="center">[[File:AdabaticBoundedSpheres_Virial.jpg|300px|Equilibrium Adiabatic Pressure-Radius Diagram]]</td></tr></table>
Equilibrium radii may also be identified through an algebraic relation that originates from the scalar virial theorem &#8212; a theorem that, itself, is derivable from the free-energy expression by setting <math>\partial\mathfrak{G}^*/\partial\chi = 0</math>.  In our 
[[SSC/Virial/PolytropesEmbedded/FirstEffortAgain#Renormalization|accompanying detailed analysis of the structure of pressure-truncated polytropes]], we use the virial theorem to show that the equilibrium radii that are identified by extrema in the free-energy function always satisfy the following,
<div align="center" id="ConciseVirial">
<font color="#770000">'''Algebraic Expression of the Virial Theorem'''</font><br />

<math>
\Pi_\mathrm{ad} = \frac{(\Chi_\mathrm{ad}^{4-3\gamma} - 1)}{\Chi_\mathrm{ad}^4} \, ,
</math>
</div>
where, after setting <math>~\gamma = (n+1)/n</math>,
<div align="center">
<table border="0" cellpadding="5">
<tr>
  <td align="right">
<math>~\Pi_\mathrm{ad}</math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>
~\mathcal{D} \biggl[ \frac{\mathcal{A}^{3(n+1)}}{\mathcal{B}^{4n}} \biggr]^{1/(n-3)}
\, ,
</math> &nbsp; &nbsp; &nbsp; &nbsp; and,
  </td>
</tr>

<tr>
  <td align="right">
<math>~\Chi_\mathrm{ad}</math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>
~\chi_\mathrm{eq} \biggl[ \frac{\mathcal{B}}{\mathcal{A}} \biggr]^{n/(n-3)} \, .
</math>
  </td>
</tr>

</table>
</div>

The curves shown in our Figure 1 "pressure-radius" diagram trace out this derived virial-theorem function for six different values of the adiabatic exponent, <math>\gamma</math>, as labeled.  They show the dimensionless external pressure, <math>\Pi_\mathrm{ad}</math>, that is required to construct a nonrotating, self-gravitating, adiabatic sphere with a dimensionless equilibrium radius <math>\Chi_\mathrm{ad}</math>.  The mathematical solution becomes unphysical wherever the pressure becomes negative.

If we multiply the above free-energy function through by an appropriate combination of the coefficients, <math>\mathcal{A}</math> and <math>\mathcal{B}</math>, and make the substitution, <math>\gamma \rightarrow (n+1)/n</math>, it also takes on a particularly simple form featuring the newly defined dimensionless external pressure, <math>\Pi_\mathrm{ad}</math>, and the newly identified dimensionless radius, <math>\Chi \equiv \chi(\mathcal{B}/\mathcal{A})^{n/(n-3)}</math>.  Specifically, we obtain the,
<div align="center" id="RenormalizedFreeEnergyExpression">
<font color="#770000">'''Renormalized Free-Energy Function'''</font><br />

<math>
\mathfrak{G}^{**} \equiv \mathfrak{G}^* \biggl[ \frac{\mathcal{A}^3}{\mathcal{B}^n} \biggr]^{1/(n-3)} = 
-3 \Chi^{-1} +~ n\Chi^{-3/n} +~ \Pi_\mathrm{ad}\Chi^3 \, .
</math>
</div>

==Relationship to Detailed Force-Balanced Models==
===Structural Form Factors===

In our [[SSC/Virial/Polytropes#Virial_Equilibrium_of_Adiabatic_Spheres|accompanying detailed analysis]], we demonstrate that the expressions given above for the free-energy function and the virial theorem are correct in sufficiently strict detail that they can be used to precisely match &#8212; and assist in understanding &#8212; the equilibrium of embedded polytropes whose structures have been determined from the set of detailed force-balance equations.  In order to draw this association, it is only necessary to realize that, very broadly, the constant coefficients, <math>~\mathcal{A}</math> and <math>~\mathcal{B}</math>, in the above [[SSC/Virial/PolytropesSummary#FreeEnergyExpression|algebraic free-energy expression]] are expressible in terms of three [[SSCpt1/Virial#Structural_Form_Factors|structural form factors]], <math>\tilde\mathfrak{f}_M</math>, <math>\tilde\mathfrak{f}_W</math>, and <math>\tilde\mathfrak{f}_A</math>, as follows:
<div align="center">
<table border="0" cellpadding="5">
<tr>
  <td align="right">
<math>~\mathcal{A}</math>
  </td>
  <td align="center">
<math>~\equiv</math>
  </td>
  <td align="left">
<math>\frac{1}{5} \cdot \biggl[ \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{tot}} \biggr) \frac{1}{\tilde\mathfrak{f}_M} \biggr]^2 \cdot \tilde\mathfrak{f}_W \, ,</math>
  </td>
</tr>

<tr>
  <td align="right">
<math>~\mathcal{B}</math>
  </td>
  <td align="center">
<math>~\equiv</math>
  </td>
  <td align="left">
<math>
\frac{4\pi}{3} 
\biggl[ \frac{3}{4\pi} \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{tot}}\biggr)  
\frac{1}{\tilde\mathfrak{f}_M} \biggr]_\mathrm{eq}^{(n+1)/n}
\cdot \tilde\mathfrak{f}_A 
= \frac{4\pi}{3} 
\biggl[ \biggl( \frac{P_c}{P_\mathrm{norm}} \biggr)\chi^{3(n+1)/n} \biggr]_\mathrm{eq} 
\cdot \tilde\mathfrak{f}_A \, ;
</math>
  </td>
</tr>
</table>
</div>
and that, specifically in the context of spherically symmetric, pressure-truncated polytropes, we can write &hellip;

<div align="center" id="PTtable">
<table border="1" align="center" cellpadding="5">
<tr><th align="center" colspan="1">
Structural Form Factors for <font color="red">Pressure-Truncated</font> Polytropes
</th></tr>
<tr><td align="center">

<table border="0" cellpadding="5" align="center">
<tr>
  <td align="right">
<math>~\tilde\mathfrak{f}_M</math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~ \biggl[ - \frac{3\Theta^'}{\xi} \biggr]_{\tilde\xi} </math>
  </td>
</tr>

<tr>
  <td align="right">
<math>~
~\frac{\tilde\mathfrak{f}_A - \tilde\theta^{n+1} }{\tilde\mathfrak{f}_W}
</math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~
\biggl[ \frac{(n+1)}{3\cdot 5} \biggr] \tilde\xi^2 
</math>
  </td>
</tr>
</table>

</td>
</tr>
</table>
</div>


After plugging these nontrivial expressions for <math>\mathcal{A}</math> and <math>\mathcal{B}</math> into the righthand sides of the above equations for <math>\Pi_\mathrm{ad}</math> and <math>\Chi_\mathrm{ad}</math> and, simultaneously, using the {{ Horedt70 }} detailed force-balanced expressions for <math>r_a</math> and <math>p_a</math> to specify, respectively, <math>~\chi_\mathrm{eq}</math> and <math>P_e/P_\mathrm{norm}</math> in these same equations &#8212; see [[SSC/Virial/PolytropesEmbedded/FirstEffortAgain#Summary_2|our accompanying discussion]] &#8212; we find that,
<div align="center">
<table border="0" cellpadding="5" align="center">

<tr>
  <td align="right">
<math>~\Pi_\mathrm{ad}</math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~\eta_\mathrm{ad} (1 + \eta_\mathrm{ad})^{-4n/(n-3)} \, ,</math>
  </td>
</tr>

<tr>
  <td align="right">
<math>~\Chi_\mathrm{ad}</math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~(1 + \eta_\mathrm{ad})^{n/(n-3)} \, ,</math>
  </td>
</tr>
</table>
</div>
where the newly identified, key physical parameter, 
<div align="center">
<table border="0" cellpadding="5" align="center">

<tr>
  <td align="right">
<math>~\eta_\mathrm{ad} \equiv \frac{b_\mathrm{ad}}{a_\mathrm{ad}}</math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~\frac{3\cdot 5~ \tilde\theta^{n+1}}{(n+1) \tilde\xi^2 \mathfrak{f}_W} \, .</math>
  </td>
</tr>
</table>
</div>

It is straightforward to show that this more compact pair of expressions for <math>~\Pi_\mathrm{ad}</math> and <math>~\Chi_\mathrm{ad}</math> satisfy the [[SSC/Virial/PolytropesEmbedded/SecondEffortAgain#ConciseVirial|virial theorem presented above]].

===Physical Meaning of Parameter <math>\eta_\mathrm{ad}</math>===

In association with our [[SSC/Virial/PolytropesEmbedded/FirstEffortAgain#Summary_2|accompanying derivation of a concise expression for the virial theorem]], we see that the structural form factor associated with the thermal energy reservoir of our configuration is the sum of two terms, specifically,
<div align="center">
<math>~\tilde\mathfrak{f}_A = a_\mathrm{ad} + b_\mathrm{ad} \, ,</math>
</div>
while, as defined in our above discussion, <math>~\eta_\mathrm{ad}</math> is the ratio of these same two terms, specifically,   
<div align="center">
<math>~\eta_\mathrm{ad} = \frac{b_\mathrm{ad}}{a_\mathrm{ad}} \, .</math>
</div>
It is worth pointing out what physical quantities are associated with these two terms.  


At any radial location within a polytropic configuration, the [[SSC/Structure/Polytropes#Lane-Emden_Equation|Lane-Emden function]], <math>~\theta</math>, is defined in terms of a ratio of the local density to the configuration's central density, specifically,
<div align="center">
<math>\theta \equiv \biggl(\frac{\rho}{\rho_c} \biggr)^{1/n} \, .</math>
</div>
Remembering that, at any location within the configuration, the pressure is related to the density via the polytropic equation of state,
<div align="center">
<math>P = K\rho^{(n+1)/n} \, ,</math>
</div>
we see that,
<div align="center">
<math>\frac{P}{P_c} = \theta^{n+1} \, .</math>
</div>
Hence, the quantity, <math>~\tilde\theta^{n+1}</math>, which appears as the second term in our definition of <math>~\tilde\mathfrak{f}_A</math>, is the ratio, <math>~(P/P_c)_{\tilde\xi}</math>, evaluated at the surface of the truncated polytropic sphere.  But, by construction, the pressure at this location equals the pressure of the external medium in which the polytrope is embedded, so we can write,
<div align="center">
<math>b_\mathrm{ad} \equiv \tilde\theta^{n+1} = \frac{P_e}{P_c}  \, .</math>
</div>

Also, [[SSCpt1/Virial#Structural_Form_Factors|directly from its integral definition]], we have that <math>\tilde\mathfrak{f}_A = \bar{P}/P_c</math>.  So we can write,
<div align="center">
<table border="0" cellpadding="5" align="center">

<tr>
  <td align="right">
<math>~a_\mathrm{ad}</math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~\tilde\mathfrak{f}_A - b_\mathrm{ad } = \frac{\bar{P}}{P_c} - \frac{P_e}{P_c}
= \frac{P_e}{P_c}\biggl( \frac{\bar{P}}{P_e} - 1 \biggr) \, .</math>
  </td>
</tr>
</table>
</div>
We conclude, therefore, that,
<div align="center">
<math>~\eta_\mathrm{ad} = \biggl( \frac{\bar{P}}{P_e} - 1 \biggr)^{-1} \, .</math>
</div>

===Desired Pressure-Radius Relation===

It is clear from the above discussion that the pair of parametric equations obtained via a [[SSC/Virial/PolytropesEmbedded/SecondEffortAgain#Detailed_Force-Balanced_Solution|solution of the detailed force-balanced equations]] satisfy our, slightly rearranged, 
<div align="center" id="ConciseVirial3">
<font color="#770000">'''Algebraic Expression of the Virial Theorem'''</font><br />

<math>
\Pi_\mathrm{ad} \Chi_\mathrm{ad}^4 = \Chi_\mathrm{ad}^{(n-3)/n} - 1 \, .
</math>
</div>
More to the point, it is now clear that this virial theorem expression provides the direct relationship between the configuration's dimensionless equilibrium radius as defined by {{ Horedt70 }}, <math>r_a</math>, and the dimensionless applied external pressure as defined by {{ Horedt70 }}, <math>p_a</math>, that was not apparent from the original pair of parametric relations.  The {{ Horedt70 }} parameters, <math>r_a</math> and <math>p_a</math>, can be directly associated to our parameters, <math>\Chi_\mathrm{ad}</math> and <math>\Pi_\mathrm{ad}</math>, via two new normalizations,  <math>r_n</math> and <math>p_n</math>, defined through the relations,
<div align="center">
<table border="0" cellpadding="5" align="center">

<tr>
  <td align="right">
<math>~\Chi_\mathrm{ad} = \frac{r_a}{r_n}</math>
  </td>
  <td align="center">
&nbsp;&nbsp;&nbsp;&nbsp; and &nbsp;&nbsp;&nbsp;&nbsp;
  </td>
  <td align="left">
<math>~\Pi_\mathrm{ad} = \frac{p_a}{p_n} \, .</math>
  </td>
</tr>
</table>
</div>
Specifically in terms of the coefficients in the free-energy expression,
<div align="center">
<table border="0" cellpadding="5" align="center">

<tr>
  <td align="right">
<math>~r_n^{n-3}</math>
  </td>
  <td align="center">
<math>~\equiv</math>
  </td>
  <td align="left">
<math>~
\frac{(n+1)^n}{4\pi} \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{tot}} \biggr)^{1-n} 
\biggl( \frac{\mathcal{A}}{\mathcal{B}} \biggr)^n \, ,
</math>
  </td>
</tr>
</table>
</div>
and,
<div align="center">
<table border="0" cellpadding="5" align="center">

<tr>
  <td align="right">
<math>~p_n^{n-3}</math>
  </td>
  <td align="center">
<math>~\equiv</math>
  </td>
  <td align="left">
<math>~
\frac{3^{n-3}}{(4\pi)^4 (n+1)^{3(n+1)}} \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{tot}} \biggr)^{2(n+1)} 
\biggl[ \frac{\mathcal{B}^{4n}}{\mathcal{A}^{3(n+1)}} \biggr] \, ;
</math>
  </td>
</tr>
</table>
</div>
while, in terms of the structural form factors,

<div align="center">
<table border="0" cellpadding="5" align="center">

<tr>
  <td align="right">
<math>~r_n^{n-3}</math>
  </td>
  <td align="center">
<math>~\equiv</math>
  </td>
  <td align="left">
<math>~
\frac{1}{3} \biggl[ \frac{(n+1)}{5} \cdot \frac{\mathfrak{f}_W}{\mathfrak{f}_A} \biggr]^n \mathfrak{f}_M^{1-n}
\, ,
</math>
  </td>
</tr>
</table>
</div>
and,
<div align="center">
<table border="0" cellpadding="5" align="center">

<tr>
  <td align="right">
<math>~p_n^{n-3}</math>
  </td>
  <td align="center">
<math>~\equiv</math>
  </td>
  <td align="left">
<math>~
\frac{1}{(4\pi)^8} \biggl[ \frac{3\cdot 5^3}{(n+1)^3} \cdot \frac{\mathfrak{f}_M^2}{\mathfrak{f}_W^3} \biggr]^{n+1} \mathfrak{f}_A^{4n}
\, .
</math>
  </td>
</tr>
</table>
</div>

==Implications Regarding Stability== 

===Model Sequences===
<!-- [[File:AdabaticBoundedSpheres_Virial.jpg|thumb|300px|Equilibrium Adiabatic Pressure-Radius Diagram]]-->
After choosing a value for the system's adiabatic index (or, equivalently, its polytropic index), <math>\gamma = (n+1)/n</math>, the functional form of the virial theorem expression, <math>\Pi_\mathrm{ad}(\chi_\mathrm{ad})</math>, is known and, hence, the equilibrium model sequence can be plotted.  Half-a-dozen such model sequences are shown in Figure 1, above.  Each curve can be viewed as mapping out a single-parameter sequence of equilibrium models; "evolution" along the curve can be accomplished by varying the key parameter, <math>\eta_\mathrm{ad}</math>, over the physically relevant range, <math>0 \le \eta_\mathrm{ad} < \infty</math>.  
<table border="1" cellpadding="10" width="90%" align="center">
<tr><td align="left">
<font color="maroon">'''ASIDE'''</font> [18 March 2015]:  Many months after I penned the above description of "evolution" along an equilibrium model sequence, I started analyzing in detail the paper by  {{ Kimura1981bfull }} [http://adsabs.harvard.edu/abs/1981PASJ...33..299K Kimura (1981b)].  The following excerpt from &sect;3 of his paper shows that Kimura presented essentially the same description of "evolution along a sequence" several decades ago:
<!-- [[File:Kimura1981bExcerpt.png|450px|center|border|Excerpt from section 3 of Kimura (1981b)]] -->
<table border="0" cellpadding="3" align="center" width="80%">
<tr><td align="left">
<font color="darkgreen">
"It can be seen that if a certain quantity, say <math>Q_1</math>, is fixed, then a sequence of bounded polytropes is constructed by varying a truncation parameter <math>\zeta_1</math> in the range <math>\zeta_0 < \zeta_1 < \zeta_f</math>, where <math>\zeta_0</math> is the dimensionless radius of the inner boundary, and <math>\zeta_f</math> that of the free surface.  Such a sequence will be termed a '<math>Q_1</math>-sequence'."
</font>
</td></tr>
<tr><td align="right">
— Drawn from {{ Kimura1981bfull }} 
</td></tr></table>

Kimura uses the subscript "1" to denote the equilibrium value of any physical quantity "<math>Q</math>"; in Figure 1 above, we are holding the equilibrium mass fixed while allowing the external pressure and the configuration volume to vary, so Kimura would say that the figure displays various "M_1 sequences."  And, as is explained more fully in [[SSC/Structure/PolytropesEmbedded#Kimura.27s_Presentation|an accompanying discussion]], his "truncation parameter" is essentially the same as our truncation radius &#8212; specifically, <math>\zeta_1 = (n+1)^{1/2}\tilde\xi</math>.  When projected onto our discussion, the physically relevant range of truncation parameter values is, <math>0 \le \tilde\xi \le \xi_1</math>, where <math>\xi_1</math> is the [[SSC/Structure/Polytropes#Lane-Emden_Equation|Lane-Emden radius of an ''isolated'' (unbounded) polytropic sphere]].
</td></tr>
</table>

To simplify our discussion, here, we redisplay the above figure and repeat a few key algebraic relations.
<div align="center">
<table border="0" cellpadding="5" align="center">

<tr>
  <td align="right">
<math>~\eta_\mathrm{ad} </math>
  </td>
  <td align="center">
<math>~\equiv</math>
  </td>
  <td align="left">
<math>~\frac{3\cdot 5 ~\tilde\theta^{n+1}}{(n+1) \tilde\xi^2 \tilde\mathfrak{f}_W} 
= \frac{\tilde\theta^{n+1}}{\tilde\theta^{n+1} + 3(\tilde\theta^')^2 - \tilde\mathfrak{f}_M \tilde\theta}\, ,</math>
  </td>
</tr>

<tr>
  <td align="right">
<math>~\Pi_\mathrm{ad}</math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~\eta_\mathrm{ad} (1 + \eta_\mathrm{ad})^{-4n/(n-3)} \, ,</math>
  </td>
</tr>

<tr>
  <td align="right">
<math>~\Chi_\mathrm{ad}</math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~(1 + \eta_\mathrm{ad})^{n/(n-3)} \, .</math>
  </td>
</tr>
</table>
</div>
Note that the last expression for <math>\eta_\mathrm{ad}</math> has been obtained after inserting the analytic expression for the structural form-factor, <math>\tilde\mathfrak{f}_W</math> that &#8212; as has been explained in an [[SSCpt1/Virial/FormFactors#Viala_and_Horedt_.281974.29_Expressions|accompanying discussion]] &#8212; we derived with the help of {{ VH74full }}.

===Stability===

Analysis of the free-energy function allows us to not only ascertain the equilibrium radius of isolated polytropes and pressure-truncated polytropic configurations, but also the relative stability of these configurations.  We begin by repeating the,
<div align="center" id="RenormalizedFreeEnergyExpression2">
<font color="#770000">'''Renormalized Free-Energy Function'''</font><br />

<math>
\mathfrak{G}^{**} = -3 \Chi^{-1} +~ n\Chi^{-3/n} +~ \Pi_\mathrm{ad}\Chi^3 \, .
</math>
</div>
The first and second derivatives of <math>~\mathfrak{G}^{**}</math>, with respect to the dimensionless radius, <math>~\Chi</math>, are, respectively,
<div align="center">
<table border="0" cellpadding="5" align="center">

<tr>
  <td align="right">
<math>~\frac{\partial\mathfrak{G}^{**}}{\partial\Chi}</math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~3 \Chi^{-2} -3\Chi^{-(n+3)/n} + 3\Pi_\mathrm{ad} \Chi^2 \, ,</math>
  </td>
</tr>

<tr>
  <td align="right">
<math>~\frac{\partial^2\mathfrak{G}^{**}}{\partial\Chi^2}</math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~-6 \Chi^{-3} + \frac{3(n+3)}{n} \Chi^{-(2n+3)/n} + 6\Pi_\mathrm{ad} \Chi \, .</math>
  </td>
</tr>
</table>
</div>
As alluded to, above, equilibrium radii are identified by values of <math>~\Chi</math> that satisfy the equation, <math>\partial\mathfrak{G}^{**}/\partial\Chi = 0</math>.  Specifically, marking equilibrium radii with the subscript "ad", they will satisfy the
<div align="center" id="ConciseVirial2">
<font color="#770000">'''Algebraic Expression of the Virial Theorem'''</font><br />

<math>
\Pi_\mathrm{ad} = \frac{\Chi_\mathrm{ad}^{(n-3)/n} - 1}{\Chi_\mathrm{ad}^4} \, .
</math>
</div>
Dynamical stability then depends on the sign of the second derivative of <math>~\mathfrak{G}^{**}</math>, evaluated at the equilibrium radius; specifically, configurations will be stable if,
<div align="center">
<table border="0" cellpadding="5" align="center">

<tr>
  <td align="right">
<math>~\frac{\partial^2\mathfrak{G}^{**}}{\partial\Chi^2}\biggr|_{\Chi_\mathrm{ad}}</math>
  </td>
  <td align="center">
<math>~></math>
  </td>
  <td align="left">
<math>~0 \, ,</math>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; (stable)
  </td>
</tr>
</table>
</div>
and they will be unstable if, upon evaluation at the equilibrium radius, the sign of the second derivative is less than zero.  Hence, isolated polytropes as well as pressure-truncated polytropic configurations will be stable if,
<div align="center">
<table border="0" cellpadding="5" align="center">

<tr>
  <td align="right">
<math>~0</math>
  </td>
  <td align="center">
<math>~< </math>
  </td>
  <td align="left">
<math>~3 \Chi_\mathrm{ad}^{-3} \biggl[ - 2 + \frac{(n+3)}{n} \Chi_\mathrm{ad}^{(n-3)/n} + 2\Pi_\mathrm{ad} \Chi_\mathrm{ad}^4 \biggr]</math>
  </td>
</tr>

<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
<math>~< </math>
  </td>
  <td align="left">
<math>~3 \Chi_\mathrm{ad}^{-3} \biggl\{ \frac{(n+3)}{n} \Chi_\mathrm{ad}^{(n-3)/n} + 2[\Chi_\mathrm{ad}^{(n-3)/n} -1] - 2\biggr\}</math>
  </td>
</tr>

<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
<math>~< </math>
  </td>
  <td align="left">
<math>~3 \Chi_\mathrm{ad}^{-3} \biggl[ \frac{3(n+1)}{n} \Chi_\mathrm{ad}^{(n-3)/n}  - 4\biggr]</math>
  </td>
</tr>

<tr>
  <td align="right">
<math>\Rightarrow~~~~\Chi_\mathrm{ad}</math>
  </td>
  <td align="center">
<math>~> </math>
  </td>
  <td align="left">
<math>~\biggl[ \frac{4n}{3(n+1)} \biggr]^{n/(n-3)} \, .</math>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; (stable)
  </td>
</tr>
</table>
</div>
Reference to this stability condition proves to be simpler if we define the limiting configuration size as,
<div align="center">
<math>~\Chi_\mathrm{min} \equiv \biggl[ \frac{4n}{3(n+1)} \biggr]^{n/(n-3)} \, ,</math>
</div>
and write the stability condition as,
<div align="center">
<math>~\Chi_\mathrm{ad} > \Chi_\mathrm{min} \, .</math>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; (stable)
</div>

When examining the equilibrium sequences found in the upper-righthand quadrant of the figure at the top of this page &#8212; each corresponding to a different value of the polytropic index, <math>~n > 3</math> or <math>~n < 0</math> &#8212; we find that <math>~\Chi_\mathrm{min}</math> corresponds to the location along each sequence where the dimensionless external pressure, <math>~\Pi_\mathrm{ad}</math>, reaches a maximum.  (Keeping in mind that the virial theorem defines each of these sequences, this statement of fact can be checked by identifying where the condition, <math>~\partial\Pi_\mathrm{ad}/\partial\Chi_\mathrm{ad} = 0</math>, occurs according to the [[User:Tohline/SSC/Virial/PolytropesEmbedded/SecondEffortAgain#ConciseVirial2|algebraic expression of the virial theorem]].)  Hence, we conclude that, along each sequence, no equilibrium configurations exist for values of the dimensionless external pressure that are greater than,
<div align="center">
<table border="0" cellpadding="5" align="center">

<tr>
  <td align="right">
<math>~\Pi_\mathrm{max}</math>
  </td>
  <td align="center">
<math>~\equiv</math>
  </td>
  <td align="left">
<math>~\Chi_\mathrm{min}^{-4}  \biggl[ \Chi_\mathrm{min}^{(n-3)/n} - 1 \biggr] </math>
  </td>
</tr>

<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~\biggl[ \frac{3(n+1)}{4n} \biggr]^{4n/(n-3)} \biggl[\frac{4n}{3(n+1)}  - 1 \biggr]</math>
  </td>
</tr>

<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~\biggl\{ \biggl[ \frac{3(n+1)}{4n} \biggr]^{4n} \biggl[\frac{n-3}{3(n+1)} \biggr]^{n-3} \biggr\}^{1/(n-3)}</math>
  </td>
</tr>

<tr>
  <td align="right">
<math>~\Rightarrow~~~~\Pi_\mathrm{max}^{n-3}</math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~(4n)^{-4n}~[3(n+1)]^{3(n+1)} ~(n-3)^{n-3} \, .</math>
  </td>
</tr>
</table>
</div>

[In a [[User:Tohline/SSC/Virial/PolytropesEmbedded/FirstEffortAgain#P-V_Diagram|separate, related discussion of the model sequences]] displayed in the above figure, we have actually demonstrated that this same coordinate point was associated with the extremum along each curve.  In that discussion, this special point was identified as <math>~(\Chi_\mathrm{extreme}, \Pi_\mathrm{extreme})</math> instead of as <math>~(\Chi_\mathrm{min}, \Pi_\mathrm{max})</math>.]

In the context of a general examination of the free-energy of pressure-truncated polytropes, it is worth noting that this limit on the external pressure also establishes a limit on the coefficient, <math>~\mathcal{D}</math>, that appears in the free energy function.  Specifically, we will not expect to find any extrema in the free energy if,
<div align="center">
<table border="0" cellpadding="5" align="center">

<tr>
  <td align="right">
<math>~\mathcal{D} > \mathcal{D}_\mathrm{max}</math>
  </td>
  <td align="center">
<math>~\equiv</math>
  </td>
  <td align="left">
<math>~(n-3) \biggl\{ \biggl[ \frac{\mathcal{B}}{4n} \biggr]^{4n}~\biggl[ \frac{3(n+1)}{\mathcal{A}} \biggr]^{3(n+1)} ~\biggr\}^{1/(n-3)} \, .</math>
  </td>
</tr>
</table>
</div>

Finally, it is worth noting that the point along each equilibrium sequence that is identified by the coordinates, <math>~(\Chi_\mathrm{min}, \Pi_\mathrm{max})</math> always corresponds to,
<div align="center">
<math>~\eta_\mathrm{ad} = \eta_\mathrm{crit} \equiv \frac{n-3}{3(n+1)} \, .</math>
</div>

<div align="center">
<table border="1" align="center" cellpadding="5">
<tr><th align="center" colspan="1">
Summary
</th></tr>
<tr><td align="center">

<table border="0" cellpadding="5" align="center">
<tr>
  <td align="right">
<math>~\eta_\mathrm{crit}</math>
  </td>
  <td align="center">
<math>~\equiv</math>
  </td>
  <td align="left">
<math>~ \frac{n-3}{3(n+1)}  </math>
  </td>
</tr>

<tr>
  <td align="right">
<math>~\Pi_\mathrm{max}</math>
  </td>
  <td align="center">
<math>~\equiv</math>
  </td>
  <td align="left">
<math>~(n-3) \biggl\{~\frac{ [3(n+1)]^{3(n+1)} }{(4n)^{4n}} \biggr\}^{1/(n-3)} </math>
  </td>
</tr>

<tr>
  <td align="right">
<math>~\Chi_\mathrm{min} </math>
  </td>
  <td align="center">
<math>~\equiv</math>
  </td>
  <td align="left">
<math>
\biggl[ \frac{4n}{3(n+1)} \biggr]^{n/(n-3)}  
</math>
  </td>
</tr>
</table>

</td>
</tr>
</table>
</div>

==Mass-Radius Relation==
Up to this point in our discussion, we have focused on an analysis of the pressure-radius relationship that defines the equilibrium configurations of pressure-truncated polytropes.  In effect, we have viewed the problem through the same lens as did [http://adsabs.harvard.edu/abs/1970MNRAS.151...81H Horedt (1970)] and, separately, [http://adsabs.harvard.edu/abs/1981MNRAS.195..967W Whitworth (1981)], defining variable normalizations in terms of the polytropic constant, <math>~K</math>, and the configuration mass, <math>~M_\mathrm{tot}</math>, which were both assumed to be held fixed throughout the analysis.  Here we switch to the approach championed by [http://adsabs.harvard.edu/abs/1983ApJ...268..165S Stahler (1983)], defining variable normalizations in terms of <math>~K</math> and <math>~P_e</math>, and examining the ''mass-radius'' relationship of pressure-truncated polytropes.

===Detailed Force-Balanced Solution===
As has been summarized in our [[User:Tohline/SSC/Structure/PolytropesEmbedded#Stahler.27s_Presentation|accompanying review]] of detailed force-balanced models of pressure-truncated polytropes, [http://adsabs.harvard.edu/abs/1983ApJ...268..165S Stahler (1983)] found that a spherical configuration's equilibrium radius is related to its mass through the following pair of parametric equations:
<div align="center">
<table border="0" cellpadding="3">

<tr>
  <td align="right">
<math>
~\frac{M_\mathrm{limit}}{M_\mathrm{SWS} }
</math>
  </td>
  <td align="center">
<math>~=~</math>
  </td>
  <td align="left">
<math>
\biggl( \frac{n^3}{4\pi} \biggr)^{1/2} \tilde\theta^{(n-3)/2} (- \tilde\xi^2 \tilde\theta^') \, ,
</math>
  </td>
</tr>

<tr>
  <td align="right">
<math>
~\frac{R_\mathrm{eq}}{R_\mathrm{SWS} }
</math>
  </td>
  <td align="center">
<math>~=~</math>
  </td>
  <td align="left">
<math>
\biggl( \frac{n}{4\pi} \biggr)^{1/2} \tilde\xi \tilde\theta^{(n-1)/2} \, ,
</math>
  </td>
</tr>
</table>
</div>
where,
<div align="center">
<math>M_\mathrm{SWS} \equiv 
\biggl( \frac{n+1}{nG} \biggr)^{3/2} K^{2n/(n+1)} P_\mathrm{e}^{(3-n)/[2(n+1)]} \, ,</math>
</div>
<div align="center">
<math>
R_\mathrm{SWS} \equiv \biggl( \frac{n+1}{nG} \biggr)^{1/2} K^{n/(n+1)} P_\mathrm{e}^{(1-n)/[2(n+1)]} \, .
</math>
</div>

===Mapping from Above Discussion===
====Deriving Concise Virial Theorem Mass-Radius Relation====
Looking back on the definitions of <math>~\Pi_\mathrm{ad}</math> and <math>~\Chi_\mathrm{ad}</math> that we introduced in connection with our initial [[User:Tohline/SSC/Virial/PolytropesEmbedded/SecondEffortAgain#ConciseVirial|concise algebraic expression of the virial theorem]], we can write,
<div align="center">
<table border="0" cellpadding="5">
<tr>
  <td align="right">
<math>~P_e </math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>
~P_\mathrm{norm} \biggl( \frac{3}{4\pi} \biggr) \Pi_\mathrm{ad}  \biggl[ \frac{\mathcal{B}^{4n}}{\mathcal{A}^{3(n+1)}} \biggr]^{1/(n-3)}
</math>
  </td>
</tr>

<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>
~\biggl( \frac{3}{4\pi} \biggr) \Pi_\mathrm{ad}  \biggl[ \frac{\mathcal{B}^{4n}}{\mathcal{A}^{3(n+1)}} \biggr]^{1/(n-3)}
\biggl[ \frac{K^{4n}}{G^{3(n+1)} M_\mathrm{tot}^{2(n+1)}} \biggr]^{1/(n-3)} \, ,
</math>
  </td>
</tr>

<tr>
  <td align="right">
<math>~R_\mathrm{eq} </math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>
~R_\mathrm{norm} \Chi_\mathrm{ad} \biggl[ \frac{\mathcal{A}}{\mathcal{B}} \biggr]^{n/(n-3)} 
</math>
  </td>
</tr>

<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>
~\Chi_\mathrm{ad} \biggl[ \frac{\mathcal{A}}{\mathcal{B}} \biggr]^{n/(n-3)} 
\biggl[ \biggl( \frac{G}{K} \biggr)^n M_\mathrm{tot}^{n-1} \biggr]^{1/(n-3)} \, .
</math>
  </td>
</tr>

</table>
</div>
The first of these two expressions can be flipped around to give an expression for <math>~M_\mathrm{tot}</math> in terms of <math>~P_e</math> and, then, as normalized to <math>~M_\mathrm{SWS}</math>.  Specifically,
<div align="center">
<table border="0" cellpadding="5">

<tr>
  <td align="right">
<math>~ M_\mathrm{tot}^{2(n+1)}</math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>
~\biggl( \frac{3\Pi_\mathrm{ad} }{4\pi} \biggr)^{n-3}  \biggl[ \frac{\mathcal{B}^{4n}}{\mathcal{A}^{3(n+1)}} \biggr]
\biggl[ \frac{K^{4n}}{G^{3(n+1)}P_e^{n-3} } \biggr] 
</math>
  </td>
</tr>

<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>
~M_\mathrm{SWS}^{2(n+1)} \biggl( \frac{n}{n+1} \biggr)^{3(n+1)} 
\biggl( \frac{3\Pi_\mathrm{ad} }{4\pi} \biggr)^{n-3}  \biggl[ \frac{\mathcal{B}^{4n}}{\mathcal{A}^{3(n+1)}} \biggr]
</math>
  </td>
</tr>

<tr>
  <td align="right">
<math>~ \Rightarrow~~~ \frac{M_\mathrm{tot}}{M_\mathrm{SWS}}</math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>
~\biggl( \frac{n}{n+1} \biggr)^{3/2} 
\biggl( \frac{3\Pi_\mathrm{ad} }{4\pi} \biggr)^{(n-3)/[2(n+1)]}  \biggl[ \frac{\mathcal{B}^{2n/(n+1)}}{\mathcal{A}^{3/2}} \biggr] \, .
</math>
  </td>
</tr>
</table>
</div>

This means, as well, that we can rewrite the equilibrium radius as,
<div align="center">
<table border="0" cellpadding="5">

<tr>
  <td align="right">
<math>~R_\mathrm{eq}^{n-3} </math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>
~\Chi_\mathrm{ad}^{n-3} \biggl[ \frac{\mathcal{A}}{\mathcal{B}} \biggr]^{n} 
\biggl( \frac{G}{K} \biggr)^n M_\mathrm{tot}^{n-1} 
</math>
  </td>
</tr>

<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>
~\Chi_\mathrm{ad}^{n-3} \biggl[ \frac{\mathcal{A}}{\mathcal{B}} \biggr]^{n} 
\biggl( \frac{G}{K} \biggr)^n \biggl\{   
\biggl( \frac{3\Pi_\mathrm{ad} }{4\pi} \biggr)^{n-3}  \biggl[ \frac{\mathcal{B}^{4n}}{\mathcal{A}^{3(n+1)}} \biggr]
\biggl[ \frac{K^{4n}}{G^{3(n+1)}P_e^{n-3} } \biggr] 
\biggr\}^{(n-1)/[2(n+1)]} 
</math>
  </td>
</tr>

<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>
~\Chi_\mathrm{ad}^{n-3} \biggl[ \frac{\mathcal{A}}{\mathcal{B}} \biggr]^{n} 
\biggl[ \frac{\mathcal{B}^{4n}}{\mathcal{A}^{3(n+1)}} \biggr]^{(n-1)/[2(n+1)]}
\biggl( \frac{3\Pi_\mathrm{ad} }{4\pi} \biggr)^{(n-3)(n-1)/[2(n+1)]} \biggl( \frac{G}{K} \biggr)^n 
\biggl\{  
\biggl[ \frac{K^{4n}}{G^{3(n+1)}P_e^{n-3} } \biggr] 
\biggr\}^{(n-1)/[2(n+1)]} 
</math>
  </td>
</tr>

<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>
~\Chi_\mathrm{ad}^{n-3} \biggl\{ \biggl[ \frac{\mathcal{A}}{\mathcal{B}} \biggr]^{2n(n+1)} 
\biggl[ \frac{\mathcal{B}^{4n(n-1)}}{\mathcal{A}^{3(n+1)(n-1)}} \biggr]\biggr\}^{1/[2(n+1)]}
\biggl( \frac{3\Pi_\mathrm{ad} }{4\pi} \biggr)^{(n-3)(n-1)/[2(n+1)]} 
\biggl\{ \biggl( \frac{G}{K} \biggr)^{2n(n+1)} 
\biggl[ \frac{K^{4n(n-1)}}{G^{3(n+1)(n-1)}P_e^{(n-3)(n-1)} } \biggr] 
\biggr\}^{1/[2(n+1)]} 
</math>
  </td>
</tr>

<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>
~\Chi_\mathrm{ad}^{n-3} \biggl( \frac{3\Pi_\mathrm{ad} }{4\pi} \biggr)^{(n-3)(n-1)/[2(n+1)]} 
\biggl[ \mathcal{A}^{-(n+1)(n-3)} \mathcal{B}^{2n(n-3)} \biggr]^{1/[2(n+1)]}
\biggl[ G^{(3-n)(n+1)} K^{2n(n-3)} P_e^{(n-3)(1-n)} \biggr]^{1/[2(n+1)]}
</math>
  </td>
</tr>

<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>
~R_\mathrm{SWS}^{n-3} \biggl( \frac{n}{n+1} \biggr)^{(n-3)/2} 
\Chi_\mathrm{ad}^{n-3} \biggl( \frac{3\Pi_\mathrm{ad} }{4\pi} \biggr)^{(n-3)(n-1)/[2(n+1)]} 
\biggl[ \mathcal{A}^{-(n+1)(n-3)} \mathcal{B}^{2n(n-3)} \biggr]^{1/[2(n+1)]}
</math>
  </td>
</tr>

<tr>
  <td align="right">
<math>~\Rightarrow~~~\frac{R_\mathrm{eq}}{R_\mathrm{SWS} } </math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>
~\biggl( \frac{n}{n+1} \biggr)^{1/2} 
\Chi_\mathrm{ad} \biggl( \frac{3\Pi_\mathrm{ad} }{4\pi} \biggr)^{(n-1)/[2(n+1)]} 
\biggl[ \frac{\mathcal{B}^{n/(n+1)}}{\mathcal{A}^{1/2}} \biggr] \, .
</math>
  </td>
</tr>

</table>
</div>
Flipping both of these expressions around, we see that,
<div align="center">
<table border="0" cellpadding="5" align="center">

<tr>
  <td align="right">
<math>~\Pi_\mathrm{ad} </math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>
~\frac{4\pi}{3} \biggl\{ \biggl( \frac{n+1}{n} \biggr)^{3(n+1)}   \biggl( \frac{M_\mathrm{tot}}{M_\mathrm{SWS}} \biggr)^{2(n+1)} 
\biggl[ \frac{\mathcal{A}^{3(n+1)}}{\mathcal{B}^{4n}} \biggr] \biggr\}^{1/(n-3)} \, ,
</math>
  </td>
</tr>
</table>
</div>
and,
<div align="center">
<table border="0" cellpadding="5" align="center">

<tr>
  <td align="right">
<math>~\Chi_\mathrm{ad} </math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>
~\frac{R_\mathrm{eq}}{R_\mathrm{SWS} }  \biggl( \frac{n+1}{n} \biggr)^{1/2} 
\biggl[ \frac{\mathcal{A}^{1/2}}{\mathcal{B}^{n/(n+1)}} \biggr] 
\biggl( \frac{3\Pi_\mathrm{ad} }{4\pi} \biggr)^{(1-n)/[2(n+1)]} 
</math>
  </td>
</tr>

<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>
~\frac{R_\mathrm{eq}}{R_\mathrm{SWS} }  \biggl( \frac{n+1}{n} \biggr)^{1/2} 
\biggl[ \frac{\mathcal{A}^{1/2}}{\mathcal{B}^{n/(n+1)}} \biggr] 
\biggl\{ \biggl( \frac{n+1}{n} \biggr)^{3(n+1)}   \biggl( \frac{M_\mathrm{tot}}{M_\mathrm{SWS}} \biggr)^{2(n+1)} 
\biggl[ \frac{\mathcal{A}^{3(n+1)}}{\mathcal{B}^{4n}} \biggr] \biggr\}^{(1-n)/[2(n+1)(n-3)]} 
</math>
  </td>
</tr>

<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>
~\frac{R_\mathrm{eq}}{R_\mathrm{SWS} } \biggl( \frac{M_\mathrm{tot}}{M_\mathrm{SWS}} \biggr)^{(1-n)/(n-3)}  \biggl( \frac{n}{n+1} \biggr)^{n/(n-3)} 
\biggl[ \frac{\mathcal{B}}{\mathcal{A}} \biggr]^{n/(n-3)} \, .
</math>
  </td>
</tr>
</table>
</div>
Hence, our earlier derived [[User:Tohline/SSC/Virial/PolytropesEmbedded/SecondEffortAgain#ConciseVirial3|compact expression for the virial theorem]] becomes,
<div align="center">
<table border="0" cellpadding="5" align="center">

<tr>
  <td align="right">
<math>~1</math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>
\biggl\{ \frac{R_\mathrm{eq}}{R_\mathrm{SWS} } \biggl( \frac{M_\mathrm{tot}}{M_\mathrm{SWS}} \biggr)^{(1-n)/(n-3)}  \biggl( \frac{n}{n+1} \biggr)^{n/(n-3)} 
\biggl[ \frac{\mathcal{B}}{\mathcal{A}} \biggr]^{n/(n-3)} \biggr\}^{(n-3)/n} 
</math> 
  </td>
</tr>

<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
&nbsp;
  </td>
  <td align="left">
<math>
-~ \frac{4\pi}{3} \biggl\{ \biggl( \frac{n+1}{n} \biggr)^{3(n+1)}   \biggl( \frac{M_\mathrm{tot}}{M_\mathrm{SWS}} \biggr)^{2(n+1)} 
\biggl[ \frac{\mathcal{A}^{3(n+1)}}{\mathcal{B}^{4n}} \biggr] \biggr\}^{1/(n-3)} 
\biggl\{ \frac{R_\mathrm{eq}}{R_\mathrm{SWS} } \biggl( \frac{M_\mathrm{tot}}{M_\mathrm{SWS}} \biggr)^{(1-n)/(n-3)}  \biggl( \frac{n}{n+1} \biggr)^{n/(n-3)} 
\biggl[ \frac{\mathcal{B}}{\mathcal{A}} \biggr]^{n/(n-3)} \biggr\}^4 </math> 
  </td>
</tr>

<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>
\biggl( \frac{R_\mathrm{eq}}{R_\mathrm{SWS} } \biggr)^{(n-3)/n} \biggl( \frac{M_\mathrm{tot}}{M_\mathrm{SWS}} \biggr)^{(1-n)/n}  \biggl( \frac{n}{n+1} \biggr)
\biggl[ \frac{\mathcal{B}}{\mathcal{A}} \biggr]
-~ \frac{4\pi}{3} \biggl( \frac{R_\mathrm{eq}}{R_\mathrm{SWS} }  \biggr)^4 \biggl( \frac{M_\mathrm{tot}}{M_\mathrm{SWS}} \biggr)^{-2} \biggl( \frac{n}{n+1} \biggr)
\frac{1}{\mathcal{A}} \, .
</math> 
  </td>
</tr>
</table>
</div>

Or, rearranged,

<div align="center" id="CompactStahlerVirial">
<table border="1" cellpadding="10" align="center">

<tr>
  <td align="right">
<math>\frac{4\pi}{3} \biggl( \frac{R_\mathrm{eq}}{R_\mathrm{SWS} }  \biggr)^4  - 
\mathcal{B} \biggl( \frac{R_\mathrm{eq}}{R_\mathrm{SWS} } \biggr)^{(n-3)/n} \biggl( \frac{M_\mathrm{tot}}{M_\mathrm{SWS}} \biggr)^{(n+1)/n}  
+~ \mathcal{A} \biggl( \frac{n+1}{n} \biggr) \biggl( \frac{M_\mathrm{tot}}{M_\mathrm{SWS}} \biggr)^{2} = 0 \, .
</math> 
  </td>
</tr>
</table>
</div>

After adopting the modified coefficient definitions,
<div align="center">
<table border="0" cellpadding="5">
<tr>
  <td align="right">
<math>~\mathcal{A}_{M_\ell}</math>
  </td>
  <td align="center">
<math>~\equiv</math>
  </td>
  <td align="left">
<math>~
\mathcal{A} \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{tot}} \biggr)^{-2}  =
\frac{1}{5} \cdot \frac{\tilde\mathfrak{f}_W}{\tilde\mathfrak{f}_M^2}  \, ,</math>
  </td>
</tr>

<tr>
  <td align="right">
<math>~\mathcal{B}_{M_\ell}</math>
  </td>
  <td align="center">
<math>~\equiv</math>
  </td>
  <td align="left">
<math>~\mathcal{B} \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{tot}}\biggr)^{-(n+1)/n} =
\biggl( \frac{3}{4\pi}\biggr)^{1/n} 
\frac{\tilde\mathfrak{f}_A}{\tilde\mathfrak{f}_M^{(n+1)/n}} \, ,
</math>
  </td>
</tr>
</table>
</div>

<span id="modNormalizations">as well as the modified length- and mass-normalizations,</span> <math>~R_\mathrm{mod}</math> and <math>~M_\mathrm{mod}</math>, such that,
<div align="center">
<table border="0" cellpadding="5" align="center">

<tr>
  <td align="right">
<math>~\frac{M_\mathrm{SWS}}{M_\mathrm{mod}}</math>
  </td>
  <td align="center">
<math>~\equiv</math>
  </td>
  <td align="left">
<math>~\biggl( \frac{4\pi}{3} \biggr)^{2n/(n+1)} \biggl[ \frac{3(n+1)}{4\pi n} \biggr]^{3/2} \frac{\mathcal{A}_{M_\ell}^{3/2}}{\mathcal{B}_{M_\ell}^{2n/(n+1)}} 
\, ,</math>
  </td>
</tr>

<tr>
  <td align="right">
<math>~\frac{R_\mathrm{SWS}}{R_\mathrm{mod}}</math>
  </td>
  <td align="center">
<math>~\equiv</math>
  </td>
  <td align="left">
<math>~\biggl( \frac{4\pi}{3} \biggr)^{n/(n+1)} \biggl[ \frac{3(n+1)}{4\pi n} \biggr]^{1/2} \frac{\mathcal{A}_{M_\ell}^{1/2}}{\mathcal{B}_{M_\ell}^{n/(n+1)}} \, ,</math>
  </td>
</tr>
</table>
</div>
we obtain the
<div align="center" id="ConciseVirialMR">
<font color="#770000">'''Virial Theorem in terms of Mass and Radius'''</font><br />

<math>
\biggl( \frac{R_\mathrm{eq}}{R_\mathrm{mod}} \biggr)^4 
- \biggl( \frac{R_\mathrm{eq}}{R_\mathrm{mod}} \biggr)^{(n-3)/n} \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{mod}} \biggr)^{(n+1)/n} 
+ \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{mod}} \biggr)^2 = 0 
\, .
</math>
</div>


For later use we note as well that, with these modified coefficient definitions, we can write,
<div align="center">
<table border="0" cellpadding="5" align="center">

<tr>
  <td align="right">
<math>~\Pi_\mathrm{ad}^{n-3} </math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>
~\biggl[ \biggl( \frac{4\pi}{3} \biggr)^{n-3} \biggl( \frac{n+1}{n} \biggr)^{3(n+1)}    
\frac{\mathcal{A}_{M_\ell}^{3(n+1)}}{\mathcal{B}_{M_\ell}^{4n}} \biggr] \mathcal{Y}^{2(n+1)} \, ,
</math>
  </td>
</tr>

<tr>
  <td align="right">
<math>~\Chi_\mathrm{ad}^{n-3} </math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>
~ 
\biggl[ \frac{n}{n+1} \biggl( \frac{\mathcal{B}_{M_\ell}}{\mathcal{A}_{M_\ell}} \biggr)\biggr]^n 
\mathcal{X}^{n-3} \mathcal{Y}^{1-n} \, ,
</math>
  </td>
</tr>
</table>
</div>
where <math>~\mathcal{X}</math> and <math>~\mathcal{Y}</math> are defined [[User:Tohline/SSC/Virial/PolytropesEmbedded/SecondEffortAgain#Confirmation|immediately below]].

====Corresponding Concise Free-Energy Expression====
Let's also rewrite the [[User:Tohline/SSC/Virial/PolytropesEmbedded/SecondEffortAgain#FreeEnergyExpression|algebraic free-energy function]] in terms of Stahler's normalized mass and radius variables.  Expressed in terms of the polytropic index, the free-energy function is,
<div align="center">
<math>
\mathfrak{G}^* = 
-3\mathcal{A} \chi^{-1} +~ n\mathcal{B} \chi^{-3/n} +~ \mathcal{D}\chi^3 \, .
</math>
</div>
First, we recognize that,
<div align="center">
<table border="0" cellpadding="5" align="center">

<tr>
  <td align="right">
<math>~\chi \equiv \frac{R}{R_\mathrm{norm}}</math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~\biggl(\frac{R}{R_\mathrm{SWS}}\biggr) \frac{R_\mathrm{SWS}}{R_\mathrm{norm}} \, .</math>
  </td>
</tr>
</table>
</div>
From the definition of <math>~R_\mathrm{norm}</math> &#8212; reprinted, for example, [[User:Tohline/SSC/Virial/PolytropesEmbedded/SecondEffortAgain#Detailed_Force-Balanced_Solution|here]] &#8212; we can write,
<div align="center">
<table border="0" cellpadding="5" align="center">

<tr>
  <td align="right">
<math>~\biggl( \frac{R_\mathrm{SWS}}{R_\mathrm{norm}}\biggr)^{n-3}</math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~R_\mathrm{SWS}^{n-3} \biggl[ G^{-n} K^n M_\mathrm{tot}^{1-n} \biggr]
</math>
  </td>
</tr>

<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~R_\mathrm{SWS}^{n-3} M_\mathrm{SWS}^{1-n} \biggl[ \biggl(\frac{K}{G}\biggr)^n \biggl( \frac{M_\mathrm{tot}}{M_\mathrm{SWS}}\biggr)^{1-n} \biggr] \, ;
</math>
  </td>
</tr>
</table>
</div>
and from the definitions of <math>~R_\mathrm{SWS}</math> and <math>~M_\mathrm{SWS}</math> &#8212; reprinted, for example, [[User:Tohline/SSC/Virial/PolytropesEmbedded/SecondEffortAgain#Detailed_Force-Balanced_Solution_2|here]] &#8212; we have,
<div align="center">
<table border="0" cellpadding="5" align="center">

<tr>
  <td align="right">
<math>~\biggl( \frac{R_\mathrm{SWS}}{R_\mathrm{norm}}\biggr)^{n-3}</math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~\biggl[ \biggl(\frac{K}{G}\biggr)^n \biggl( \frac{M_\mathrm{tot}}{M_\mathrm{SWS}}\biggr)^{1-n} \biggr]
\biggl\{\biggl( \frac{n+1}{nG} \biggr)^{1/2} K^{n/(n+1)} P_\mathrm{e}^{(1-n)/[2(n+1)]} \biggr\}^{n-3}
\biggl\{ \biggl( \frac{n+1}{nG} \biggr)^{3/2} K^{2n/(n+1)} P_\mathrm{e}^{(3-n)/[2(n+1)]} \biggr\}^{1-n}
</math>
  </td>
</tr>

<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~\biggl[ \biggl(\frac{K}{G}\biggr)^n \biggl( \frac{M_\mathrm{tot}}{M_\mathrm{SWS}}\biggr)^{1-n} \biggr]
\biggl( \frac{n+1}{n} \biggr)^{[(n-3) +3(1-n)]/2} G^{[(3-n) + 3(n-1)]/2} K^{n[(n-3)+2(1-n)]/(n+1)} 
</math>
  </td>
</tr>

<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>
~\biggl( \frac{M_\mathrm{tot}}{M_\mathrm{SWS}}\biggr)^{1-n} \biggl( \frac{n}{n+1} \biggr)^n \, .
</math>
  </td>
</tr>
</table>
</div>
Hence, in each term in the free-energy expression we can make the substitution,
<div align="center">
<table border="0" cellpadding="5" align="center">

<tr>
  <td align="right">
<math>~\chi </math>
  </td>
  <td align="center">
<math>~~~\rightarrow~~~</math>
  </td>
  <td align="left">
<math>~
\biggl(\frac{R}{R_\mathrm{SWS}}\biggr) \biggl\{ \biggl( \frac{M_\mathrm{tot}}{M_\mathrm{SWS}}\biggr)^{1-n} \biggl( \frac{n}{n+1} \biggr)^n \biggr\}^{1/(n-3)}
= 
\biggl(\frac{R}{R_\mathrm{SWS}}\biggr)\biggl( \frac{M_\mathrm{limit}}{M_\mathrm{SWS}}\biggr)^{(1-n)/(n-3)}  
\biggl\{ \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{tot}}\biggr)^{n-1} \biggl( \frac{n}{n+1} \biggr)^n \biggr\}^{1/(n-3)} \, .
</math>
  </td>
</tr>
</table>
</div>

Next, drawing on the definition of <math>~P_\mathrm{norm}</math> &#8212; reprinted, for example, [[User:Tohline/SSC/Virial/PolytropesEmbedded/SecondEffortAgain#Detailed_Force-Balanced_Solution|here]] &#8212; along with the definition of <math>~M_\mathrm{SWS}</math>, we recognize that,
<div align="center">
<table border="0" cellpadding="5" align="center">

<tr>
  <td align="right">
<math>~\mathcal{D} \equiv \frac{4\pi}{3} \cdot \frac{P_e}{P_\mathrm{norm}}</math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~\frac{4\pi}{3} \cdot P_e \biggl[ K^{-4n} G^{3(n+1)} M_\mathrm{tot}^{2(n+1)} \biggr]^{1/(n-3)} </math>
  </td>
</tr>

<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~\frac{4\pi}{3} \cdot \biggl( \frac{M_\mathrm{tot}}{M_\mathrm{SWS}} \biggr)^{2(n+1)/(n-3)} P_e \biggl[ K^{-4n} G^{3(n+1)}\biggr]^{1/(n-3)} M_\mathrm{SWS}^{2(n+1)/(n-3)}  </math>
  </td>
</tr>

<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~\frac{4\pi}{3} \cdot \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{SWS}} \biggr)^{2(n+1)/(n-3)} 
\biggl\{ \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{tot}} \biggr)^{-2}\biggl( \frac{n+1}{n}\biggr)^3 \biggr\}^{(n+1)/(n-3)} \, .</math>
  </td>
</tr>
</table>
</div>

After making these substitutions into the free-energy function, as well as replacing <math>~\mathcal{A}</math> and <math>~\mathcal{B}</math> with <math>~\mathcal{A}_{M_\ell}</math> and <math>~\mathcal{B}_{M_\ell}</math>, respectively, we have,
<div align="center">
<table border="0" cellpadding="5" align="center">

<tr>
  <td align="right">
<math>~\mathfrak{G}^*</math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~
-3\mathcal{A}_{M_\ell}\biggl( \frac{M_\mathrm{limit}}{M_\mathrm{tot}} \biggr)^{2} 
\biggl(\frac{R}{R_\mathrm{SWS}}\biggr)^{-1} \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{SWS}}\biggr)^{-(1-n)/(n-3)}  
\biggl\{ \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{tot}}\biggr)^{n-1} \biggl( \frac{n}{n+1} \biggr)^n \biggr\}^{-1/(n-3)}
</math>
  </td>
</tr>

<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
&nbsp;
  </td>
  <td align="left">
<math>~
+~ n\mathcal{B}_{M_\ell} \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{tot}} \biggr)^{(n+1)/n}
\biggl(\frac{R}{R_\mathrm{SWS}}\biggr)^{-3/n} \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{SWS}}\biggr)^{-3(1-n)/[n(n-3)]}  
\biggl\{ \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{tot}}\biggr)^{n-1} \biggl( \frac{n}{n+1} \biggr)^n \biggr\}^{-3/[n(n-3)]}
</math>
  </td>
</tr>

<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
&nbsp;
  </td>
  <td align="left">
<math>~
+~ \frac{4\pi}{3} \cdot \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{SWS}} \biggr)^{2(n+1)/(n-3)} 
\biggl\{ \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{tot}} \biggr)^{-2}\biggl( \frac{n+1}{n}\biggr)^3 \biggr\}^{(n+1)/(n-3)}
\biggl(\frac{R}{R_\mathrm{SWS}}\biggr)^3 \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{SWS}}\biggr)^{3(1-n)/(n-3)}  
\biggl\{ \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{tot}}\biggr)^{n-1} \biggl( \frac{n}{n+1} \biggr)^n \biggr\}^{3/(n-3)}
</math>
  </td>
</tr>

<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~
-3\mathcal{A}_{M_\ell} 
\biggl(\frac{R}{R_\mathrm{SWS}}\biggr)^{-1} \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{SWS}}\biggr)^{-(1-n)/(n-3)}  
\biggl\{ \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{tot}}\biggr)^{[(n-1)-2(n-3)]} \biggl( \frac{n}{n+1} \biggr)^n \biggr\}^{-1/(n-3)}
</math>
  </td>
</tr>

<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
&nbsp;
  </td>
  <td align="left">
<math>~
+~  n\mathcal{B}_{M_\ell}  
\biggl(\frac{R}{R_\mathrm{SWS}}\biggr)^{-3/n} \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{SWS}}\biggr)^{-3(1-n)/[n(n-3)]}  
\biggl\{ \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{tot}}\biggr)^{[(n+1)(n-3)-3(n-1)]} \biggl( \frac{n}{n+1} \biggr)^{-3n} \biggr\}^{1/[n(n-3)]}
</math>
  </td>
</tr>

<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
&nbsp;
  </td>
  <td align="left">
<math>~
+~ \frac{4\pi}{3} \cdot \biggl(\frac{R}{R_\mathrm{SWS}}\biggr)^3 \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{SWS}}\biggr)^{[2(n+1)+3(1-n)]/(n-3)}   
\biggl\{ \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{tot}} \biggr)^{[(3(n-1) -2(n+1)]}\biggl( \frac{n}{n+1}\biggr)^{[3n-3(n+1)]} \biggr\}^{1/(n-3)}
</math>
  </td>
</tr>

<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~
-3\mathcal{A}_{M_\ell} 
\biggl(\frac{R}{R_\mathrm{SWS}}\biggr)^{-1} \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{SWS}}\biggr)^{-(1-n)/(n-3)}  
\biggl\{ \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{tot}}\biggr)^{(n-5)} \biggl( \frac{n+1}{n} \biggr)^n \biggr\}^{1/(n-3)}
</math>
  </td>
</tr>

<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
&nbsp;
  </td>
  <td align="left">
<math>~
+~  n\mathcal{B}_{M_\ell}  
\biggl(\frac{R}{R_\mathrm{SWS}}\biggr)^{-3/n} \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{SWS}}\biggr)^{-3(1-n)/[n(n-3)]}  
\biggl\{ \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{tot}}\biggr)^{(n-5)} \biggl( \frac{n+1}{n} \biggr)^{3} \biggr\}^{1/(n-3)}
</math>
  </td>
</tr>

<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
&nbsp;
  </td>
  <td align="left">
<math>~
+~ \frac{4\pi}{3} \cdot \biggl(\frac{R}{R_\mathrm{SWS}}\biggr)^3 \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{SWS}}\biggr)^{(5-n)/(n-3)}   
\biggl\{ \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{tot}} \biggr)^{(n-5)}\biggl( \frac{n+1}{n}\biggr)^{3} \biggr\}^{1/(n-3)}
</math>
  </td>
</tr>

<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~\biggl[ \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{tot}} \biggr)^{(n-5)}\biggl( \frac{n+1}{n}\biggr)^{3} \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{SWS}}\biggr)^{(5-n)} \biggr]^{1/(n-3)} 
\biggl\{
-3\mathcal{A}_{M_\ell}\biggl( \frac{n+1}{n}\biggr) \biggl(\frac{R}{R_\mathrm{SWS}}\biggr)^{-1} \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{SWS}}\biggr)^{2} 
+~  n\mathcal{B}_{M_\ell}  
\biggl(\frac{R}{R_\mathrm{SWS}}\biggr)^{-3/n} \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{SWS}}\biggr)^{(n+1)/n}  
+~ \frac{4\pi}{3} \cdot \biggl(\frac{R}{R_\mathrm{SWS}}\biggr)^{3}   
\biggr\}\, .
</math>
  </td>
</tr>
</table>
</div>

Hence, after defining,
<div align="center">
<table border="0" cellpadding="5" align="center">

<tr>
  <td align="right">
<math>~\mathfrak{G}^*_\mathrm{SWS}</math>
  </td>
  <td align="center">
<math>~\equiv</math>
  </td>
  <td align="left">
<math>~
\frac{\mathfrak{G}}{[G^{-3} K^n M_\mathrm{SWS}^{n-5}]^{1/(n-3)}} \biggl( \frac{n}{n+1}\biggr)^{3/(n-3)} 
=
\frac{\mathfrak{G}}{[K^{6n} P_e^{5-n}]^{1/[2(n+1)]}} \biggl( \frac{nG}{n+1}\biggr)^{3/2} \, ,
</math>
  </td>
</tr>
</table>
</div>

we can write,
<div align="center" id="ConciseFreeEnergyExpression">
<table border="0" cellpadding="5" align="center">

<tr>
  <td align="right">
<math>~\mathfrak{G}^*_\mathrm{SWS} </math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~
-3\mathcal{A}_{M_\ell}\biggl( \frac{n+1}{n}\biggr) \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{SWS}} \biggr)^{2} \biggl(\frac{R}{R_\mathrm{SWS}}\biggr)^{-1} 
+~ n\mathcal{B}_{M_\ell}  \cdot \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{SWS}} \biggr)^{(n+1)/n}  \biggl(\frac{R}{R_\mathrm{SWS}}\biggr)^{-3/n} 
+~ \frac{4\pi}{3} \cdot \biggl(\frac{R}{R_\mathrm{SWS}}\biggr)^{3}  \, . 
</math>
  </td>
</tr>
</table>
</div>
Setting the first derivative of this function equal to zero should produce the virial theorem expression.  Let's see &hellip;
<div align="center">
<table border="0" cellpadding="5" align="center">

<tr>
  <td align="right">
<math>~\frac{\partial\mathfrak{G}^*_\mathrm{SWS}}{\partial \mathcal{X}}</math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~
3\mathcal{A}_{M_\ell}\biggl( \frac{n+1}{n}\biggr) \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{SWS}} \biggr)^{2} \biggl(\frac{R}{R_\mathrm{SWS}}\biggr)^{-2} 
-~ 3\mathcal{B}_{M_\ell} \cdot \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{SWS}} \biggr)^{(n+1)/n}  \biggl(\frac{R}{R_\mathrm{SWS}}\biggr)^{-(3+n)/n} 
+~ 4\pi \biggl(\frac{R}{R_\mathrm{SWS}}\biggr)^{2}  
</math>
  </td>
</tr>

<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~ 3\biggl(\frac{R}{R_\mathrm{SWS}}\biggr)^{-2}
\biggl[ \mathcal{A}_{M_\ell}\biggl( \frac{n+1}{n}\biggr) \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{SWS}} \biggr)^{2} 
-~ \mathcal{B}_{M_\ell} \cdot \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{SWS}} \biggr)^{(n+1)/n}  \biggl(\frac{R}{R_\mathrm{SWS}}\biggr)^{(n-3)/n} 
+~ \frac{4\pi}{3} \cdot \biggl(\frac{R}{R_\mathrm{SWS}}\biggr)^{4} \biggr] \, .
</math>
  </td>
</tr>
</table>
</div>
Replacing <math>~\mathcal{A}_{M_\ell}</math> and <math>~\mathcal{B}_{M_\ell}</math> with <math>~\mathcal{A}</math> and <math>~\mathcal{B}</math>, as prescribed by their defined relationships, and setting the expression inside the square brackets equal to zero does, indeed, produce the [[User:Tohline/SSC/Virial/PolytropesEmbedded/SecondEffortAgain#CompactStahlerVirial|above, boxed-in ''viral theorem'' mass-radius relationship]].

====Plotting Concise Mass-Radius Relation====
Our derived, [[User:Tohline/SSC/Virial/PolytropesEmbedded/SecondEffortAgain#ConciseVirialMR|concise analytic expression for the virial theorem]], namely,
<div align="center">
<math>
\biggl( \frac{R_\mathrm{eq}}{R_\mathrm{mod}} \biggr)^4 
- \biggl( \frac{R_\mathrm{eq}}{R_\mathrm{mod}} \biggr)^{(n-3)/n} \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{mod}} \biggr)^{(n+1)/n} 
+ \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{mod}} \biggr)^2 = 0 
\, ,
</math>
</div>

is plotted for seven different values of the polytropic index, <math>~n</math>, as indicated, in the lefthand diagram of the following composite figure.  For comparison, the ''schematic'' diagram displayed on the righthand side of the figure is a reproduction of Figure 17 from Appendix B of [http://adsabs.harvard.edu/abs/1983ApJ...268..165S Stahler (1983)].  It seems that our derived, analytically prescribable, mass-radius relationship &#8212; which is, in essence, a statement of the scalar virial theorem &#8212; embodies most of the attributes of the mass-radius relationship for pressure-truncated polytropes that were already understood, and conveyed schematically, by Stahler in 1983. 


<table border="1" align="center" cellpadding="3">
<tr>
  <td align="center" rowspan="2">
[[File:MassRadiusVirialLabeled.png|350px|Virial Theorem Mass-Radius Relation]]
  </td>
  <td align="center">
[[File:Stahler1983TitlePage0.png|300px|center|Stahler (1983) Title Page]]
  </td>
</tr>
<tr>
  <td align="center" bgcolor="white">
[[File:Stahler_MRdiagram1.png|300px|center|Stahler (1983) Figure 17 (edited)]]
  </td>
</tr>
</table>

Let's do this again using the mass-radius relation as written explicitly in terms of the normalizations, <math>~M_\mathrm{SWS}</math> and <math>~R_\mathrm{SWS}</math>.  The relevant, generic nonlinear equation is,
<div align="center">
<table border="0" cellpadding="5" align="center">

<tr>
  <td align="right">
<math>~0</math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~
\biggl( \frac{R}{R_\mathrm{SWS}} \biggr)^4 
- \biggl( \frac{R}{R_\mathrm{SWS}} \biggr)^{(n-3)/n} \biggl[ \biggl(\frac{3}{4\pi} \biggr) \frac{M}{M_\mathrm{SWS}} \biggr]^{(n+1)/n} 
+ \frac{3}{20\pi} \biggl( \frac{n+1}{n}\biggr) \biggl( \frac{M}{M_\mathrm{SWS}} \biggr)^2 \, .
</math>
  </td>
</tr>
</table>
</div>

Analytically determined roots:
* <math>~n=1</math>
<div align="center">
<math>~\frac{M}{M_\mathrm{SWS}} = \biggl( \frac{10\pi}{3}\biggr)^{1 / 2} \biggl(\frac{R}{R_\mathrm{SWS}} \biggr)^3 \biggl[ \frac{3\cdot 5}{2^3\pi} - \biggl(\frac{R}{R_\mathrm{SWS}} \biggr)^2
\biggr]^{-1/2} </math> &nbsp; &nbsp; &nbsp; &nbsp; for, &nbsp; &nbsp; <math>~0 \le \frac{R}{R_\mathrm{SWS}} \le \biggl(\frac{3\cdot 5}{2^3\pi}\biggr)^{1/2} \, .</math>
</div>
* <math>~n=3</math>
<div align="center">
<math>~\frac{R}{R_\mathrm{SWS}} = \biggl\{ \biggl[ \biggl(\frac{3}{4\pi}\biggr)\frac{M}{M_\mathrm{SWS}}\biggr]^{4/3} 
- \biggl(\frac{1}{5\pi}\biggr) \biggl( \frac{M}{M_\mathrm{SWS}}\biggr)^2 \biggr\}^{1/4} </math> &nbsp; &nbsp; &nbsp; &nbsp; for, &nbsp; &nbsp; <math>~0 \le \frac{M}{M_\mathrm{SWS}} \le \biggl(\frac{3^4\cdot 5^3}{2^8\pi}\biggr)^{1/2} \, .</math>
</div>
* <span id="Isothermal">''Isothermal''</span> (explained [[#IsothermalExplained|immediately below]])
<div align="center">
<math>~\frac{M}{M_\mathrm{SWS}} = \frac{5}{2} \biggl( \frac{R}{R_\mathrm{SWS}} \biggr) \biggl\{
1 \pm \biggl[ 1 - \frac{16\pi}{15}\biggl( \frac{R}{R_\mathrm{SWS}} \biggr)^2  \biggr]^{1 / 2} \biggr\} </math>
&nbsp; &nbsp; &nbsp; &nbsp; for, &nbsp; &nbsp; <math>~0 \le \frac{R}{R_\mathrm{SWS}} \le \biggl(\frac{3\cdot 5}{2^4\pi}\biggr)^{1/2} \, .</math>
</div>


<span id="TabulatedValues">First, we'll create a table of the normalized coordinate values that satisfy this nonlinear expression.</span>
<div align="center">
<table border="1" align="center" cellpadding="5">
<tr>
  <td align="center" colspan="1"><math>~n =2</math></td>
  <td align="center" colspan="1"><math>~n =2.8</math></td>
  <td align="center" colspan="1"><math>~n =3.5</math></td>
  <td align="center" colspan="1"><math>~n = 4</math></td>
  <td align="center" colspan="1"><math>~n = 5</math></td>
</tr>
<tr>
<td align="center">
<table border="0" cellpadding="5" align="center">
<tr>
  <td align="center"><math>~ \frac{R}{R_\mathrm{SWS}}</math></td>
  <td align="center">&nbsp;</td>
  <td align="center"><math>~ \frac{M}{M_\mathrm{SWS}}</math></td>
</tr>
<tr><td align="center" colspan="3">&nbsp;</td></tr>
<tr><td align="center" colspan="3">&nbsp;</td></tr>
<tr><td align="center" colspan="3">&nbsp;</td></tr>
<tr>
  <td align="right">0.3800</td>
  <td align="center">&nbsp;</td>
  <td align="left">0.26562</td>
</tr>
<tr>
  <td align="right">0.4500</td>
  <td align="center">&nbsp;</td>
  <td align="left">0.477153</td>
</tr>
<tr>
  <td align="right">0.5000</td>
  <td align="center">&nbsp;</td>
  <td align="left">0.70919</td>
</tr>
<tr>
  <td align="right">0.5500</td>
  <td align="center">&nbsp;</td>
  <td align="left">1.063602</td>
</tr>
<tr>
  <td align="right">0.5800</td>
  <td align="center">&nbsp;</td>
  <td align="left">1.39755</td>
</tr>
<tr>
  <td align="right">0.5950</td>
  <td align="center">&nbsp;</td>
  <td align="left">1.64662</td>
</tr>
<tr>
  <td align="right">0.6050</td>
  <td align="center">&nbsp;</td>
  <td align="left">1.893915</td>
</tr>
<tr>
  <td align="right">0.6120</td>
  <td align="center">&nbsp;</td>
  <td align="left">2.22372</td>
</tr>
<tr>
  <td align="right"><font color="darkgreen">0.6131721</font></td>
  <td align="center">&nbsp;</td>
  <td align="left"><font color="darkgreen">2.433375</font></td>
</tr>
<tr>
  <td align="right">0.6120</td>
  <td align="center">&nbsp;</td>
  <td align="left">2.64923</td>
</tr>
<tr>
  <td align="right">0.6050</td>
  <td align="center">&nbsp;</td>
  <td align="left">3.01688</td>
</tr>
<tr>
  <td align="right">0.5950</td>
  <td align="center">&nbsp;</td>
  <td align="left">3.32037</td>
</tr>
<tr>
  <td align="right">0.5800</td>
  <td align="center">&nbsp;</td>
  <td align="left">3.658702</td>
</tr>
<tr>
  <td align="right">0.5500</td>
  <td align="center">&nbsp;</td>
  <td align="left">4.19097</td>
</tr>
<tr>
  <td align="right">0.5000</td>
  <td align="center">&nbsp;</td>
  <td align="left">4.94599</td>
</tr>
<tr>
  <td align="right">0.4700</td>
  <td align="center">&nbsp;</td>
  <td align="left">5.38791</td>
</tr>
<tr>
  <td align="right">0.4500</td>
  <td align="center">&nbsp;</td>
  <td align="left">5.69164</td>
</tr>
<tr><td align="center" colspan="3">&nbsp;</td></tr>
<tr><td align="center" colspan="3">&nbsp;</td></tr>
<tr><td align="center" colspan="3">&nbsp;</td></tr>
<tr><td align="center" colspan="3">&nbsp;</td></tr>
<tr><td align="center" colspan="3">&nbsp;</td></tr>
<tr><td align="center" colspan="3">&nbsp;</td></tr>
</table>
</td>
<td align="center">
<table border="0" cellpadding="5" align="center">
<tr>
  <td align="center"><math>~ \frac{R}{R_\mathrm{SWS}}</math></td>
  <td align="center">&nbsp;</td>
  <td align="center"><math>~ \frac{M}{M_\mathrm{SWS}}</math></td>
</tr>
<tr><td align="center" colspan="3">&nbsp;</td></tr>
<tr><td align="center" colspan="3">&nbsp;</td></tr>
<tr><td align="center" colspan="3">&nbsp;</td></tr>
<tr>
  <td align="right">0.3800</td>
  <td align="center">&nbsp;</td>
  <td align="left">0.266134</td>
</tr>
<tr>
  <td align="right">0.4500</td>
  <td align="center">&nbsp;</td>
  <td align="left">0.47971</td>
</tr>
<tr>
  <td align="right">0.5000</td>
  <td align="center">&nbsp;</td>
  <td align="left">0.71765</td>
</tr>
<tr>
  <td align="right">0.5250</td>
  <td align="center">&nbsp;</td>
  <td align="left">0.831825</td>
</tr>
<tr>
  <td align="right">0.5600</td>
  <td align="center">&nbsp;</td>
  <td align="left">1.20977</td>
</tr>
<tr>
  <td align="right">0.5750</td>
  <td align="center">&nbsp;</td>
  <td align="left">1.427183</td>
</tr>
<tr>
  <td align="right">0.5850</td>
  <td align="center">&nbsp;</td>
  <td align="left">1.653232</td>
</tr>
<tr>
  <td align="right">0.5900</td>
  <td align="center">&nbsp;</td>
  <td align="left">1.89304</td>
</tr>
<tr>
  <td align="right"><font color="darkgreen">0.5904492</font></td>
  <td align="center">&nbsp;</td>
  <td align="left"><font color="darkgreen">1.989927</font></td>
</tr>
<tr>
  <td align="right">0.5900</td>
  <td align="center">&nbsp;</td>
  <td align="left">2.086584</td>
</tr>
<tr>
  <td align="right">0.5850</td>
  <td align="center">&nbsp;</td>
  <td align="left">2.32394</td>
</tr>
<tr>
  <td align="right">0.5750</td>
  <td align="center">&nbsp;</td>
  <td align="left">2.54527</td>
</tr>
<tr>
  <td align="right">0.5600</td>
  <td align="center">&nbsp;</td>
  <td align="left">2.75612</td>
</tr>
<tr>
  <td align="right">0.5250</td>
  <td align="center">&nbsp;</td>
  <td align="left">3.07134</td>
</tr>
<tr>
  <td align="right">0.4500</td>
  <td align="center">&nbsp;</td>
  <td align="left">3.460304</td>
</tr>
<tr>
  <td align="right">0.3500</td>
  <td align="center">&nbsp;</td>
  <td align="left">3.75881</td>
</tr>
<tr>
  <td align="right">0.2500</td>
  <td align="center">&nbsp;</td>
  <td align="left">3.97835</td>
</tr>
<tr>
  <td align="right">0.2000</td>
  <td align="center">&nbsp;</td>
  <td align="left">4.09302</td>
</tr>
<tr>
  <td align="right">0.1500</td>
  <td align="center">&nbsp;</td>
  <td align="left">4.232786</td>
</tr>
<tr>
  <td align="right">0.1000</td>
  <td align="center">&nbsp;</td>
  <td align="left">4.430303</td>
</tr>
<tr>
  <td align="right">0.0700</td>
  <td align="center">&nbsp;</td>
  <td align="left">4.60984</td>
</tr>
<tr>
  <td align="right">0.0400</td>
  <td align="center">&nbsp;</td>
  <td align="left">4.9057</td>
</tr>
<tr>
  <td align="right">0.0150</td>
  <td align="center">&nbsp;</td>
  <td align="left">5.47056</td>
</tr>
</table>
</td>
<td align="center">
<table border="0" cellpadding="5" align="center">
<tr>
  <td align="center"><math>~ \frac{R}{R_\mathrm{SWS}}</math></td>
  <td align="center">&nbsp;</td>
  <td align="center"><math>~ \frac{M}{M_\mathrm{SWS}}</math></td>
</tr>
<tr><td align="center" colspan="3">&nbsp;</td></tr>
<tr><td align="center" colspan="3">&nbsp;</td></tr>
<tr><td align="center" colspan="3">&nbsp;</td></tr>
<tr>
  <td align="right">0.3800</td>
  <td align="center">&nbsp;</td>
  <td align="left">0.26639</td>
</tr>
<tr>
  <td align="right">0.4500</td>
  <td align="center">&nbsp;</td>
  <td align="left">0.481072</td>
</tr>
<tr>
  <td align="right">0.5000</td>
  <td align="center">&nbsp;</td>
  <td align="left">0.722406</td>
</tr>
<tr>
  <td align="right">0.5250</td>
  <td align="center">&nbsp;</td>
  <td align="left">0.89152</td>
</tr>
<tr>
  <td align="right">0.5600</td>
  <td align="center">&nbsp;</td>
  <td align="left">1.246123</td>
</tr>
<tr>
  <td align="right">0.5650</td>
  <td align="center">&nbsp;</td>
  <td align="left">1.32113</td>
</tr>
<tr>
  <td align="right">0.5750</td>
  <td align="center">&nbsp;</td>
  <td align="left">1.52651</td>
</tr>
<tr>
  <td align="right">0.5800</td>
  <td align="center">&nbsp;</td>
  <td align="left">1.745165</td>
</tr>
<tr>
  <td align="right"><font color="darkgreen">0.5803836</font></td>
  <td align="center">&nbsp;</td>
  <td align="left"><font color="darkgreen">1.823995</font></td>
</tr>
<tr>
  <td align="right">0.5800</td>
  <td align="center">&nbsp;</td>
  <td align="left">1.90201</td>
</tr>
<tr>
  <td align="right">0.5780</td>
  <td align="center">&nbsp;</td>
  <td align="left">2.01647</td>
</tr>
<tr>
  <td align="right">0.5750</td>
  <td align="center">&nbsp;</td>
  <td align="left">2.11019</td>
</tr>
<tr>
  <td align="right">0.5600</td>
  <td align="center">&nbsp;</td>
  <td align="left">2.35906</td>
</tr>
<tr>
  <td align="right">0.5400</td>
  <td align="center">&nbsp;</td>
  <td align="left">2.543602</td>
</tr>
<tr>
  <td align="right">0.5000</td>
  <td align="center">&nbsp;</td>
  <td align="left">2.75557</td>
</tr>
<tr>
  <td align="right">0.4500</td>
  <td align="center">&nbsp;</td>
  <td align="left">2.543602</td>
</tr>
<tr>
  <td align="right">0.3800</td>
  <td align="center">&nbsp;</td>
  <td align="left">2.94829</td>
</tr>
<tr>
  <td align="right" bgcolor="yellow"><font color="black">0.3749583</font></td>
  <td align="center">&nbsp;</td>
  <td align="left" bgcolor="yellow"><font color="black">2.948526</font></td>
</tr>
<tr>
  <td align="right">0.3300</td>
  <td align="center">&nbsp;</td>
  <td align="left">2.93161</td>
</tr>
<tr>
  <td align="right">0.2500</td>
  <td align="center">&nbsp;</td>
  <td align="left">2.829401</td>
</tr>
<tr>
  <td align="right">0.1500</td>
  <td align="center">&nbsp;</td>
  <td align="left">2.578605</td>
</tr>
<tr><td align="center" colspan="3">&nbsp;</td></tr>
<tr><td align="center" colspan="3">&nbsp;</td></tr>
</table>
</td>
<td align="center">
<table border="0" cellpadding="5" align="center">
<tr>
  <td align="center"><math>~ \frac{R}{R_\mathrm{SWS}}</math></td>
  <td align="center">&nbsp;</td>
  <td align="center"><math>~ \frac{M}{M_\mathrm{SWS}}</math></td>
</tr>
<tr>
  <td align="right">0.1000</td>
  <td align="center">&nbsp;</td>
  <td align="left">0.004224</td>
</tr>
<tr>
  <td align="right">0.2000</td>
  <td align="center">&nbsp;</td>
  <td align="left">0.034709</td>
</tr>
<tr>
  <td align="right">0.3000</td>
  <td align="center">&nbsp;</td>
  <td align="left">0.1230901</td>
</tr>
<tr>
  <td align="right">0.4000</td>
  <td align="center">&nbsp;</td>
  <td align="left">0.31735</td>
</tr>
<tr>
  <td align="right">0.4500</td>
  <td align="center">&nbsp;</td>
  <td align="left">0.48177</td>
</tr>
<tr>
  <td align="right">0.5000</td>
  <td align="center">&nbsp;</td>
  <td align="left">0.72493</td>
</tr>
<tr>
  <td align="right">0.5250</td>
  <td align="center">&nbsp;</td>
  <td align="left">0.89686</td>
</tr>
<tr>
  <td align="right">0.5400</td>
  <td align="center">&nbsp;</td>
  <td align="left">1.028495</td>
</tr>
<tr>
  <td align="right">0.5500</td>
  <td align="center">&nbsp;</td>
  <td align="left">1.13574</td>
</tr>
<tr>
  <td align="right">0.5600</td>
  <td align="center">&nbsp;</td>
  <td align="left">1.26965</td>
</tr>
<tr>
  <td align="right">0.5730</td>
  <td align="center">&nbsp;</td>
  <td align="left">1.55527</td>
</tr>
<tr>
  <td align="right"><font color="darkgreen">0.5756189</font></td>
  <td align="center">&nbsp;</td>
  <td align="left"><font color="darkgreen">1.750930</font></td>
</tr>
<tr>
  <td align="right">0.5730</td>
  <td align="center">&nbsp;</td>
  <td align="left">1.93949</td>
</tr>
<tr>
  <td align="right">0.5600</td>
  <td align="center">&nbsp;</td>
  <td align="left">2.18983</td>
</tr>
<tr>
  <td align="right">0.5400</td>
  <td align="center">&nbsp;</td>
  <td align="left">2.376318</td>
</tr>
<tr>
  <td align="right">0.5250</td>
  <td align="center">&nbsp;</td>
  <td align="left">2.46661</td>
</tr>
<tr>
  <td align="right">0.5000</td>
  <td align="center">&nbsp;</td>
  <td align="left">2.56895</td>
</tr>
<tr>
  <td align="right">0.4600</td>
  <td align="center">&nbsp;</td>
  <td align="left">2.657809</td>
</tr>
<tr>
  <td align="right" bgcolor="yellow"><font color="black">0.41184646</font></td>
  <td align="center">&nbsp;</td>
  <td align="left" bgcolor="yellow"><font color="black">2.688999</font></td>
</tr>
<tr>
  <td align="right">0.4100</td>
  <td align="center">&nbsp;</td>
  <td align="left">2.68895</td>
</tr>
<tr>
  <td align="right">0.3800</td>
  <td align="center">&nbsp;</td>
  <td align="left">2.677703</td>
</tr>
<tr>
  <td align="right">0.3000</td>
  <td align="center">&nbsp;</td>
  <td align="left">2.56612</td>
</tr>
<tr>
  <td align="right">0.2500</td>
  <td align="center">&nbsp;</td>
  <td align="left">2.44565</td>
</tr>
<tr>
  <td align="right">0.2000</td>
  <td align="center">&nbsp;</td>
  <td align="left">2.28789</td>
</tr>
<tr>
  <td align="right">0.1500</td>
  <td align="center">&nbsp;</td>
  <td align="left">2.08747</td>
</tr>
<tr>
  <td align="right">0.1000</td>
  <td align="center">&nbsp;</td>
  <td align="left">1.82708</td>
</tr>
</table>
</td>
<td align="center">
<table border="0" cellpadding="5" align="center">
<tr>
  <td align="center"><math>~ \frac{R}{R_\mathrm{SWS}}</math></td>
  <td align="center">&nbsp;</td>
  <td align="center"><math>~ \frac{M}{M_\mathrm{SWS}}</math></td>
</tr>
<tr>
  <td align="right">0.1000</td>
  <td align="center">&nbsp;</td>
  <td align="left">0.004224</td>
</tr>
<tr>
  <td align="right">0.2000</td>
  <td align="center">&nbsp;</td>
  <td align="left">0.03471</td>
</tr>
<tr>
  <td align="right">0.3000</td>
  <td align="center">&nbsp;</td>
  <td align="left">0.123115</td>
</tr>
<tr>
  <td align="right">0.4000</td>
  <td align="center">&nbsp;</td>
  <td align="left">0.31766</td>
</tr>
<tr>
  <td align="right">0.4500</td>
  <td align="center">&nbsp;</td>
  <td align="left">0.48278</td>
</tr>
<tr>
  <td align="right">0.5000</td>
  <td align="center">&nbsp;</td>
  <td align="left">0.72866</td>
</tr>
<tr>
  <td align="right">0.5250</td>
  <td align="center">&nbsp;</td>
  <td align="left">0.905006</td>
</tr>
<tr>
  <td align="right">0.5400</td>
  <td align="center">&nbsp;</td>
  <td align="left">1.042907</td>
</tr>
<tr>
  <td align="right">0.5500</td>
  <td align="center">&nbsp;</td>
  <td align="left">1.15886</td>
</tr>
<tr>
  <td align="right">0.5600</td>
  <td align="center">&nbsp;</td>
  <td align="left">1.313712</td>
</tr>
<tr>
  <td align="right">0.5675</td>
  <td align="center">&nbsp;</td>
  <td align="left">1.511304</td>
</tr>
<tr>
  <td align="right"><font color="darkgreen">0.5692185</font></td>
  <td align="center">&nbsp;</td>
  <td align="left"><font color="darkgreen">1.657839</font></td>
</tr>
<tr>
  <td align="right">0.5675</td>
  <td align="center">&nbsp;</td>
  <td align="left">1.798532</td>
</tr>
<tr>
  <td align="right">0.5600</td>
  <td align="center">&nbsp;</td>
  <td align="left">1.97061</td>
</tr>
<tr>
  <td align="right">0.5400</td>
  <td align="center">&nbsp;</td>
  <td align="left">2.17282</td>
</tr>
<tr>
  <td align="right">0.5250</td>
  <td align="center">&nbsp;</td>
  <td align="left">2.25888</td>
</tr>
<tr>
  <td align="right">0.5000</td>
  <td align="center">&nbsp;</td>
  <td align="left">2.34793</td>
</tr>
<tr>
  <td align="right">0.4600</td>
  <td align="center">&nbsp;</td>
  <td align="left">2.410374</td>
</tr>
<tr>
  <td align="right" bgcolor="yellow"><font color="black">0.4391754</font></td>
  <td align="center">&nbsp;</td>
  <td align="left" bgcolor="yellow"><font color="black">2.417330</font></td>
</tr>
<tr>
  <td align="right">0.4000</td>
  <td align="center">&nbsp;</td>
  <td align="left">2.396465</td>
</tr>
<tr>
  <td align="right">0.3000</td>
  <td align="center">&nbsp;</td>
  <td align="left">2.19848</td>
</tr>
<tr>
  <td align="right">0.2000</td>
  <td align="center">&nbsp;</td>
  <td align="left">1.84195</td>
</tr>
<tr>
  <td align="right">0.1000</td>
  <td align="center">&nbsp;</td>
  <td align="left">1.31421</td>
</tr>
<tr>
  <td align="right">0.0500</td>
  <td align="center">&nbsp;</td>
  <td align="left">0.930314</td>
</tr>
<tr>
  <td align="right">0.0200</td>
  <td align="center">&nbsp;</td>
  <td align="left">0.58847</td>
</tr>
<tr><td align="center" colspan="3">&nbsp;</td></tr>
</table>
</td>

</tr>
</table>
</div>

<span id="IsothermalExplained">From a</span> [[User:Tohline/SSC/Virial/Isothermal#Bonnor.27s_.281956.29_Equivalent_Relation|free-energy analysis of isothermal spheres]], we have demonstrated that, when the structural form factors are all set to unity, the statement of virial equilibrium is,
<div align="center">
<table border="0" cellpadding="5" align="center">

<tr>
  <td align="right">
<math>~0</math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~
\biggl( \frac{R}{R_\mathrm{SWS}} \biggr)^4 
- \frac{3}{4\pi} \biggr( \frac{M}{M_\mathrm{SWS}} \biggr)  \biggl( \frac{R}{R_\mathrm{SWS}} \biggr)
+ \frac{3}{20\pi} \biggl( \frac{M}{M_\mathrm{SWS}} \biggr)^2 \, ,
</math>
  </td>
</tr>
</table>
</div>
where, in order to be consistent with the above polytropic normalizations, we have adopted the ''isothermal'' normalizations,
<div align="center">
<table border="0" cellpadding="5" align="center">

<tr>
  <td align="right">
<math>~M_\mathrm{SWS}\biggr|_\mathrm{isothermal} \equiv \biggl( \frac{c_s^8}{G^3 P_e} \biggr)^{1 / 2} \, ,</math>
  </td>
  <td align="center">
&nbsp; &nbsp; &nbsp; &nbsp; and &nbsp; &nbsp; &nbsp; &nbsp; 
  </td>
  <td align="left">
<math>~R_\mathrm{SWS}\biggr|_\mathrm{isothermal} \equiv \biggl( \frac{c_s^4}{G P_e} \biggr)^{1 / 2} \, .</math>
  </td>
</tr>
</table>
</div>
This is a quadratic equation that can be readily solved to provide an analytic expression for the ''isothermal'' mass-radius relation; the relevant expression has already been [[#Isothermal|provided, above]].

====Confirmation====

Rewriting the [[User:Tohline/SSC/Virial/PolytropesEmbedded/SecondEffortAgain#ConciseVirialMR|just-derived virial theorem expression]] in terms of Stahler's dimensionless radius and mass variables, written in the abbreviated form,
<div align="center">
<table border="0" cellpadding="5" align="center">

<tr>
  <td align="right">
<math>~\mathcal{X}</math>
  </td>
  <td align="center">
<math>~\equiv</math>
  </td>
  <td align="left">
<math>~\frac{R_\mathrm{eq}}{R_\mathrm{SWS}} \, ,</math>
  </td>
</tr>

<tr>
  <td align="right">
<math>~\mathcal{Y}</math>
  </td>
  <td align="center">
<math>~\equiv</math>
  </td>
  <td align="left">
<math>~\frac{M_\mathrm{limit}}{M_\mathrm{SWS}} \, ,</math>
  </td>
</tr>
</table>
</div>
we have,

<div align="center">
<table border="0" cellpadding="5" align="center">

<tr>
  <td align="right">
<math>~0</math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~\biggl[ \mathcal{X} \cdot \frac{R_\mathrm{SWS}}{R_\mathrm{mod}} \biggr]^4 
- \biggl[ \mathcal{X} \cdot \frac{R_\mathrm{SWS}}{R_\mathrm{mod}} \biggr]^{(n-3)/n} 
\biggl[ \mathcal{Y} \cdot \frac{M_\mathrm{SWS}}{M_\mathrm{mod}} \biggr]^{(n+1)/n} 
+ \biggl[ \mathcal{Y} \cdot \frac{M_\mathrm{SWS}}{M_\mathrm{mod}} \biggr]^2</math>
  </td>
</tr>

<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~\mathcal{X}^4 \biggl\{ \biggl( \frac{4\pi}{3} \biggr)^{n/(n+1)} \biggl[ \frac{3(n+1)}{4\pi n} \biggr]^{1/2} \frac{\mathcal{A}_{M_\ell}^{1/2}}{\mathcal{B}_{M_\ell}^{n/(n+1)}} \biggr\}^4 
+ \mathcal{Y}^2 \biggl\{ \biggl( \frac{4\pi}{3} \biggr)^{2n/(n+1)} \biggl[ \frac{3(n+1)}{4\pi n} \biggr]^{3/2} \frac{\mathcal{A}_{M_\ell}^{3/2}}{\mathcal{B}_{M_\ell}^{2n/(n+1)}} \biggr\}^2</math>
  </td>
</tr>

<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
&nbsp;
  </td>
  <td align="left">
<math>~
- \mathcal{X}^{(n-3)/n} \mathcal{Y}^{(n+1)/n} \biggl\{ \biggl( \frac{4\pi}{3} \biggr)^{n/(n+1)} 
\biggl[ \frac{3(n+1)}{4\pi n} \biggr]^{1/2} \frac{\mathcal{A}_{M_\ell}^{1/2}}{\mathcal{B}_{M_\ell}^{n/(n+1)}}\biggr\}^{(n-3)/n} 
\biggl\{ \biggl( \frac{4\pi}{3} \biggr)^{2n/(n+1)} \biggl[ \frac{3(n+1)}{4\pi n} \biggr]^{3/2} \frac{\mathcal{A}_{M_\ell}^{3/2}}{\mathcal{B}_{M_\ell}^{2n/(n+1)}}  \biggr\}^{(n+1)/n} 
</math>
  </td>
</tr>

<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~\mathcal{X}^4 \biggl\{ \biggl( \frac{4\pi}{3} \biggr)^{4n/(n+1)} \biggl[ \frac{3(n+1)}{4\pi n} \biggr]^{2} 
\frac{\mathcal{A}_{M_\ell}^{2}}{\mathcal{B}_{M_\ell}^{4n/(n+1)}} \biggr\} 
+ \mathcal{Y}^2 \biggl\{ \biggl( \frac{4\pi}{3} \biggr)^{4n/(n+1)} \biggl[ \frac{3(n+1)}{4\pi n} \biggr]^{3} \frac{\mathcal{A}_{M_\ell}^{3}}{\mathcal{B}_{M_\ell}^{4n/(n+1)}} \biggr\}</math>
  </td>
</tr>

<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
&nbsp;
  </td>
  <td align="left">
<math>~
- \mathcal{X}^{(n-3)/n} \mathcal{Y}^{(n+1)/n} \biggl\{ \biggl( \frac{4\pi}{3} \biggr)^{[(n-3)+2(n+1)]/(n+1)} 
\biggl[ \frac{3(n+1)}{4\pi n} \biggr]^{[(n-3)+3(n+1)]/2n} \frac{\mathcal{A}_{M_\ell}^{[(n-3)+3(n+1)]/2n}}{\mathcal{B}_{M_\ell}^{[(n-3)+2(n+1)]/(n+1)}}\biggr\} 
</math>
  </td>
</tr>

<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~\biggl\{\mathcal{X}^4 + \biggl[\frac{3(n+1)}{4\pi n}\biggr] \mathcal{A}_{M_\ell} \mathcal{Y}^2 \biggr\} 
\biggl\{ \biggl( \frac{4\pi}{3} \biggr)^{4n/(n+1)} \biggl[ \frac{3(n+1)}{4\pi n} \biggr]^{2} \frac{\mathcal{A}_{M_\ell}^{2}}{\mathcal{B}_{M_\ell}^{4n/(n+1)}} \biggr\}</math>
  </td>
</tr>

<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
&nbsp;
  </td>
  <td align="left">
<math>~
- \mathcal{X}^{(n-3)/n} \mathcal{Y}^{(n+1)/n} \biggl\{ \biggl( \frac{4\pi}{3} \biggr)^{(3n-1)/(n+1)} 
\biggl[ \frac{3(n+1)}{4\pi n} \biggr]^{2} \frac{\mathcal{A}_{M_\ell}^{2}}{\mathcal{B}_{M_\ell}^{(3n-1)/(n+1)}}\biggr\} 
</math>
  </td>
</tr>

<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~
\biggl[ \biggl(\frac{4\pi}{3}\biggr) \mathcal{X}^4 - \mathcal{B}_{M_\ell} \cdot \mathcal{X}^{(n-3)/n} \mathcal{Y}^{(n+1)/n} 
+ \biggl(\frac{n+1}{n}\biggr) \mathcal{A}_{M_\ell} \mathcal{Y}^2 \biggr] 
\biggl\{ \biggl( \frac{4\pi}{3} \biggr)^{(3n-1)/(n+1)} \biggl[ \frac{3(n+1)}{4\pi n} \biggr]^{2} \frac{\mathcal{A}_{M_\ell}^{2}}{\mathcal{B}_{M_\ell}^{4n/(n+1)}} \biggr\} \, .
</math>
  </td>
</tr>
</table>
</div>

Replacing <math>~\mathcal{A}_{M_\ell}</math> and <math>~\mathcal{B}_{M_\ell}</math> with <math>~\mathcal{A}</math> and <math>~\mathcal{B}</math>, as prescribed by their defined relationships, the expression inside the square brackets becomes the [[User:Tohline/SSC/Virial/PolytropesEmbedded/SecondEffortAgain#CompactStahlerVirial|above, boxed-in mass-radius relationship]], namely,
<div align="center">
<table border="0" cellpadding="5" align="center">

<tr>
  <td align="right">
<math>~
\frac{4\pi}{3} \cdot \mathcal{X}^4  
- \mathcal{B} \cdot \mathcal{X}^{(n-3)/n} \biggl[ \mathcal{Y} \biggl( \frac{M_\mathrm{tot}}{M_\mathrm{limit}} \biggr) \biggr]^{(n+1)/n}  
+~ \mathcal{A} \biggl( \frac{n+1}{n} \biggr) \biggl[ \mathcal{Y} \biggl( \frac{M_\mathrm{tot}}{M_\mathrm{limit}} \biggr) \biggr]^{2}
</math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~0 \, .</math>
  </td>
</tr>
</table>
</div>

====In Terms of Structural Form-Factors====

Alternatively, replacing <math>~\mathcal{A}_{M_\ell}</math> and <math>~\mathcal{B}_{M_\ell}</math> by their expressions in terms of the structural form factors gives, 

<div align="center">
<table border="0" cellpadding="5" align="center">

<tr>
  <td align="right">
<math>~
\frac{4\pi}{3} \cdot \mathcal{X}^4  
- \mathcal{X}^{(n-3)/n} \mathcal{Y}^{(n+1)/n} \biggl( \frac{4\pi}{3} \biggr)^{-1/n}
\frac{\tilde\mathfrak{f}_A}{\tilde\mathfrak{f}_M^{(n+1)/n}} 
+ \mathcal{Y}^2\biggl( \frac{n+1}{5n} \biggr) \frac{\tilde\mathfrak{f}_W  }{\tilde\mathfrak{f}_M^2} 
</math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~0 \, .</math>
  </td>
</tr>
</table>
</div>

Finally, inserting into this relation the [[User:Tohline/SSC/Virial/PolytropesEmbedded/SecondEffortAgain#PTtable|expressions presented above]] for the structural form-factors, <math>~\tilde\mathfrak{f}_M</math> and <math>~\tilde\mathfrak{f}_A</math>, namely,

<div align="center">
<table border="0" cellpadding="5" align="center">
<tr>
  <td align="right">
<math>~\tilde\mathfrak{f}_M</math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~ \biggl[ - \frac{3\Theta^'}{\xi} \biggr]_{\tilde\xi} </math>
  </td>
</tr>

<tr>
  <td align="right">
<math>~
\tilde\mathfrak{f}_A 
</math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~
\tilde\theta^{n+1} + \biggl[ \frac{(n+1)}{3\cdot 5} \biggr] \tilde\xi^2 \cdot \tilde\mathfrak{f}_W
</math>
  </td>
</tr>
</table>
</div>

gives us the desired,
<div align="center" id="ConciseVirialXY">
<table border="1" cellpadding="8" align="center">
<tr><td align="center">
<font color="#770000">'''Virial Theorem written in terms of <math>~\mathcal{X}</math>, <math>~\mathcal{Y}</math>, and <math>~\tilde\mathfrak{f}_W</math>'''</font><br />

<math>~
4\pi \cdot \mathcal{X}^4   ~- ~
\mathcal{X}^{(n-3)/n} \mathcal{Y}^{(n+1)/n} ( 4\pi)^{-1/n}
\biggl[\frac{\tilde\xi}{(-\tilde\theta^')}\biggr]^{(n+1)/n} \biggl[\tilde\theta^{n+1} +  \frac{(n+1)\tilde\xi^2}{3\cdot 5} \cdot \tilde\mathfrak{f}_W \biggr]
~+ ~ \mathcal{Y}^2\biggl( \frac{n+1}{3\cdot 5n} \biggr) \frac{\tilde\xi^2}{(- \tilde\theta^')^2} \cdot \tilde\mathfrak{f}_W 
= 0 \, .
</math>
</td></tr>
</table>
</div>

===Relating and Reconciling Two Mass-Radius Relationships for n = 5 Polytropes===

Now, let's examine the case of pressure-truncated, <math>~n=5</math> polytropes.  As we have discussed in the context of [[User:Tohline/SSC/Structure/PolytropesEmbedded#Tabular_Summary_.28n.3D5.29|detailed force-balanced models]], [http://adsabs.harvard.edu/abs/1983ApJ...268..165S Stahler (1983)] has deduced that all <math>~n=5</math> equilibrium configurations obey the mass-radius relationship,
<div align="center">
<table border="0" cellpadding="5" align="center">

<tr>
  <td align="right">
<math>~\biggl( \frac{M_\mathrm{limit}}{M_\mathrm{SWS}} \biggr)^2 - 5 \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{SWS}} \biggr)\biggl( \frac{R_\mathrm{eq}}{R_\mathrm{SWS}} \biggr)
+ \frac{2^2 \cdot 5 \pi}{3} \biggl( \frac{R_\mathrm{eq}}{R_\mathrm{SWS}} \biggr)^4 </math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~0 \, ,</math>
  </td>
</tr>
</table>
</div>
where, as [[User:Tohline/SSC/Virial/PolytropesSummary#Detailed_Force-Balanced_Solution_2|reviewed above]], the mass and radius normalizations, <math>~M_\mathrm{SWS}</math> and <math>~R_\mathrm{SWS}</math>, may be treated as constants once the parameters <math>~K</math> and <math>~P_e</math> are specified.  In contrast to this, the mass-radius relationship that we have just derived ''from the virial theorem'' for pressure-truncated, <math>~n=5</math> polytropes is,
<div align="center">
<math>
\biggl( \frac{M_\mathrm{limit}}{M_\mathrm{mod}} \biggr)^2
- \biggl( \frac{R_\mathrm{eq}}{R_\mathrm{mod}} \biggr)^{2/5} \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{mod}} \biggr)^{6/5} 
+ \biggl( \frac{R_\mathrm{eq}}{R_\mathrm{mod}} \biggr)^4 = 0 \, ,
</math>
</div>
where the mass and radius normalizations,
<table border="0" cellpadding="5" align="center">

<tr>
  <td align="right">
<math>~M_\mathrm{mod}\biggr|_{n=5}</math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~M_\mathrm{SWS} \biggl( \frac{3\mathcal{B}_{M_\ell}}{4\pi} \biggr)^{5/3} \biggl[ \frac{2\cdot 5\pi}{3^2 \mathcal{A}_{M_\ell}} \biggr]^{3/2} 
\, ,</math>
  </td>
</tr>

<tr>
  <td align="right">
<math>~R_\mathrm{mod}\biggr|_{n=5}</math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~R_\mathrm{SWS} \biggl( \frac{3\mathcal{B}_{M_\ell}}{4\pi}\biggr)^{5/6} \biggl[ \frac{2\cdot 5\pi}{3^2\mathcal{A}_{M_\ell}} \biggr]^{1/2} \, ,</math>
  </td>
</tr>
</table>

depend, not only on <math>~K</math> and <math>~P_e</math> via the definitions of <math>~M_\mathrm{SWS}</math> and <math>~R_\mathrm{SWS}</math>, but also on the structural form factors via the free-energy coefficients, <math>~\mathcal{A}_{M_\ell}</math> and <math>~\mathcal{B}_{M_\ell}</math>.  While these two separate mass-radius relationships are similar, they are not identical.  In particular, the middle term involving the cross-product of the mass and radius contains different exponents in the two expressions.  It is not immediately obvious how the two different polynomial expressions can be used to describe the same physical sequence.

This apparent discrepancy is reconciled as follows:  The structural form factors &#8212; and, hence, the free-energy coefficients &#8212; vary from equilibrium configuration to equilibrium configuration.  So it does not make sense to discuss ''evolution along the sequence'' that is defined by the second of the two polynomial expressions.  If you want to know how a given system's equilibrium radius will change ''as its mass changes'', the first of the two polynomials will do the trick.  However, the equilibrium radius of ''a given system'' can be found by looking for extrema in the free-energy function while holding the free-energy coefficients, <math>~\mathcal{A}_{M_\ell}</math> and <math>~\mathcal{B}_{M_\ell}</math>, constant; more importantly, the relative stability ''of a given equilibrium system'' can be determined by analyzing the behavior of the system's free energy ''while holding the free-energy coefficients constant''.  Dynamically stable versus dynamically unstable configurations can be readily distinguished from one another along the sequence that is defined by the second polynomial expression; they cannot be readily distinguished from one another along the sequence that is defined by the first polynomial expression.  It is useful, therefore, to determine how to map a configuration's position on one of the sequences to the other. 

====Plotting Stahler's Relation====

<span id="MRplot">[[File:CorrectedStahlerN5.png|thumb|300px|Mass (Y) vs. radius (X) plot]]Switching, again, to the shorthand notation,</span>
<div align="center">
<table border="0" cellpadding="5" align="center">

<tr>
  <td align="right">
<math>~\mathcal{X}</math>
  </td>
  <td align="center">
<math>~\equiv</math>
  </td>
  <td align="left">
<math>~\frac{R_\mathrm{eq}}{R_\mathrm{SWS}} \, ,</math>
  </td>
</tr>

<tr>
  <td align="right">
<math>~\mathcal{Y}</math>
  </td>
  <td align="center">
<math>~\equiv</math>
  </td>
  <td align="left">
<math>~\frac{M_\mathrm{tot}}{M_\mathrm{SWS}} \, ,</math>
  </td>
</tr>
</table>
</div>
the equilibrium mass-radius relation defined by the first of the two polynomial expressions can be plotted straightforwardly in either of two ways.  

=====Quadratic Equation=====
One way is to recognize that the polynomial is a quadratic equation whose solution is,
<div align="center">
<table border="0" cellpadding="5" align="center">

<tr>
  <td align="right">
<math>~\mathcal{Y}_\pm</math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~\frac{5}{2} \mathcal{X} \biggl\{ 1 \pm \biggl[ 1 - \biggl( \frac{2^4\cdot \pi}{3\cdot 5} \biggr) \mathcal{X}^2 \biggr]^{1/2} \biggr\} \, .</math>
  </td>
</tr>
</table>
</div>
In the figure shown here on the right &#8212; see also the bottom panel of [[User:Tohline/SSC/Structure/PolytropesEmbedded#Stahler1983Fig17|Figure 2 in our accompanying discussion of detailed force-balance models]] &#8212; Stahler's mass-radius relation has been plotted using the solution to this quadratic equation; the green segment of the displayed curve was derived from the ''positive'' root while the segment derived from the ''negative'' root is shown in orange.  The two curve segments meet at the maximum value of the normalized equilibrium radius, namely, at
<div align="center">
<math>\mathcal{X}_\mathrm{max} \equiv \biggl[ \frac{3\cdot 5}{2^4 \pi} \biggr]^{1/2} \approx 0.54627 \, .</math>
</div>
We note that, when <math>~\mathcal{X} = \mathcal{X}_\mathrm{max}</math>, <math>~\mathcal{Y} = (5\mathcal{X}_\mathrm{max}/2) \approx 1.36569</math>.  Along the entire sequence, the maximum value of <math>~\mathcal{Y}</math> occurs at the location where <math>~d\mathcal{Y}/d\mathcal{X} = 0</math> along the segment of the curve corresponding to the ''positive'' root.  This occurs along the upper segment of the curve where <math>~\mathcal{X}/\mathcal{X}_\mathrm{max} = \sqrt{3}/2</math>, at the location,
<div align="center">
<math>\mathcal{Y}_\mathrm{max} \equiv \biggl[ \frac{3^3 \cdot 5^2}{2^6 } \biggr]^{1/2} \mathcal{X}_\mathrm{max} 
= \biggl[ \frac{3^4 \cdot 5^3}{2^{10} \pi } \biggr]^{1/2}  \approx 1.77408 \, .</math>
</div>

=====Parametric Relations=====
The other way is to determine the normalized mass and normalized radius individually through Stahler's pair of parametric relations.  Drawing partly from our [[User:Tohline/SSC/Virial/PolytropesSummary#Detailed_Force-Balanced_Solution_2|above discussion]] and partly from a separate discussion where we provide a [[User:Tohline/SSC/Structure/PolytropesEmbedded#Tabular_Summary_.28n.3D5.29|tabular summary of the properties of pressure-truncated <math>~n=5</math> polytropes]], these are,
<div align="center">
<table border="0" cellpadding="3">

<tr>
  <td align="right">
<math>
~\mathcal{X}\biggr|_{n=5}
</math>
  </td>
  <td align="center">
<math>~=~</math>
  </td>
  <td align="left">
<math>
\biggl( \frac{5}{4\pi} \biggr)^{1/2} \tilde\xi \tilde\theta^{2} =
\biggl\{ \frac{3\cdot 5}{2^2 \pi} \biggl[ \frac{\tilde\xi^2/3}{(1+\tilde\xi^2/3)^{2}} \biggr] \biggr\}^{1/2} \, ,
</math>
  </td>
</tr>

<tr>
  <td align="right">
<math>
~\mathcal{Y}\biggr|_{n=5}
</math>
  </td>
  <td align="center">
<math>~=~</math>
  </td>
  <td align="left">
<math>
\biggl( \frac{5^3}{4\pi} \biggr)^{1/2} \tilde\theta (- \tilde\xi^2 \tilde\theta^') =
\biggl[  \biggl( \frac{3 \cdot 5^3}{2^2\pi} \biggr) \frac{(\tilde\xi^2/3)^3}{(1+\tilde\xi^2/3)^{4}} \biggr]^{1/2} \, .
</math>
  </td>
</tr>
</table>
</div>
The entire sequence will be traversed by varying the Lane-Emden parameter, <math>~\tilde\xi</math>, from zero to infinity.  Using the first of these two expressions, we have determined, for example, that the point along the sequence corresponding to the maximum normalized equilibrium radius, <math>~\mathcal{X}_\mathrm{max}</math>, is associated with an embedded <math>~n=5</math> polytrope whose truncated, dimensionless Lane-Emden radius is,
<div align="center">
<math>
~\tilde\xi \biggr|_{\mathcal{X}_\mathrm{max}} = 3^{1/2} \, .
</math>
</div>
Similarly, we have determined that the point along the sequence that corresponds to the maximum dimensionless mass, <math>~\mathcal{Y}_\mathrm{max}</math>, is associated with an embedded <math>~n=5</math> polytrope whose truncated, dimensionless Lane-Emden radius is, precisely,
<div align="center">
<math>
~\tilde\xi \biggr|_{\mathcal{Y}_\mathrm{max}} = 3 \, .
</math>
</div>

<div id="KimuraApplication">
<table border="1" width="90%" align="center" cellpadding="8">
<tr><td align="left">
Referring back to [[User:Tohline/SSC/Structure/PolytropesEmbedded#Turning_Points|our review of turning points]] along equilibrium sequences and, especially, the work of [http://adsabs.harvard.edu/abs/1981PASJ...33..299K Kimura (1981b)], we appreciate that the point that corresponds to the maximum mass, <math>~\mathcal{Y}_\mathrm{max}</math>, is the turning point that Kimura refers to as the "extremum in M<sub>1</sub>" along a p<sub>1</sub> sequence.  [[User:Tohline/SSC/Structure/PolytropesEmbedded#Location_of_Pressure_Limit|As we have highlighted]], according to Kimura, this point should occur along the sequence where <math>~h_G=0</math>, that is, where the following condition applies:
<div align="center">
<math>~\frac{\tilde\theta^{n+1}}{(\tilde\theta^')^2} = \frac{(n-3)}{2}  \, .</math>
</div>
For the specific case being studied here, namely, <math>~n = 5</math> polytropic configurations, we therefore expect from Kimura's work that <math>~[\tilde\theta^6/(\tilde\theta^')^2] = 1</math> at the "maximum mass" turning point.  Given that,
<div align="center">
<math>~\tilde\xi \biggr|_{\mathcal{Y}_\mathrm{max}} = 3</math>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
<math>~\Rightarrow</math>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
<math>\tilde\theta_{n=5} = \frac{1}{2}</math>&nbsp;&nbsp;&nbsp;&nbsp; and &nbsp;&nbsp;&nbsp;&nbsp; <math>\tilde\theta_{n=5}^' = -\frac{1}{8} \, ,</math>
</div>
we see that Kimura's condition holds and, hence, that our identification of the location along the sequence of the maximum mass matches Kimura's identification of the location of that turning point.

We appreciate, as well, that the point corresponding to the maximum normalized equilibrium radius, <math>~\mathcal{X}_\mathrm{max}</math>, is the turning point that Kimura would reference as the "extremum in r<sub>1</sub>" along a p<sub>1</sub> sequence.  Following Kimura's analysis [[User:Tohline/SSC/Structure/PolytropesEmbedded#TurningPointXmax|we have shown that this point occurs along the sequence where the following condition applies]]:
<div align="center">
<math>~\frac{\xi (-\theta^')}{\tilde\theta} = \frac{2}{(n-1)} \, ,</math>
</div>
that is, for the specific case being studied here, we should expect <math>~[\tilde\xi (-\tilde\theta^')/\tilde\theta] = 1/2</math> at the "maximum radius" turning point.  Given that,
<div align="center">
<math>~\tilde\xi \biggr|_{\mathcal{X}_\mathrm{max}} = 3^{1/2}</math>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
<math>~\Rightarrow</math>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
<math>\tilde\theta_{n=5} = 2^{-1/2}</math>&nbsp;&nbsp;&nbsp;&nbsp; and &nbsp;&nbsp;&nbsp;&nbsp; 
<math>\tilde\theta_{n=5}^' = -(2^3 \cdot 3)^{-1/2} \, ,</math>
</div>
we see that Kimura's condition holds and, hence, that our identification of the location along the sequence of the maximum radius matches Kimura's identification of the location of that turning point.
</td></tr>
</table>
</div>

=====Discussion=====
Notice that if the quadratic equation is used to map out the mass-radius relationship, the parameter, <math>~\tilde\xi</math>, never explicitly enters the discussion.  Instead, a radius <math>~0 \le \mathcal{X} \le \mathcal{X}_\mathrm{max}</math> is specified and the ''two'' equilibrium masses associated with <math>~\mathcal{X}</math> &#8212; call them, <math>~\mathcal{Y}_+</math> and <math>~\mathcal{Y}_-</math> &#8212; are determined.  (The values of the two masses are degenerate at both limiting values of <math>~\mathcal{X}</math>.)  If the pair of parametric relations is used, instead, only ''one'' value of the mass is obtained for each specified value of <math>~\tilde\xi</math>.  As <math>~\tilde\xi</math> is increased from <math>~0</math> to <math>~\sqrt{3}</math>, <math>~\mathcal{X}</math> increases monotonically from <math>~0</math> to <math>~\mathcal{X}_\mathrm{max}</math> and the corresponding mass is (only) <math>~\mathcal{Y}_-</math>; that is, as <math>~\tilde\xi</math> is increased from <math>~0</math> to <math>~\sqrt{3}</math>, we move away from the origin in a counter-clockwise direction along the lower segment (colored orange in the [[User:Tohline/SSC/Virial/PolytropesEmbedded/SecondEffortAgain#MRplot|above figure]]) of the plotted equlibrium sequence.  Then, as <math>~\tilde\xi</math> is increased from <math>~\sqrt{3}</math> to <math>~\infty</math>, we continue to move in a counter-clockwise direction along the equilibrium sequence, but now along the upper segment (colored green in the [[User:Tohline/SSC/Virial/PolytropesEmbedded/SecondEffortAgain#MRplot|above figure]]) of the sequence, back to the origin; that is to say, <math>~\mathcal{X}</math> steadily decreases from <math>~\mathcal{X}_\mathrm{max}</math> back to <math>~0</math> and this time the relevant associated mass is the positive root of the quadratic relation, <math>~\mathcal{Y}_+</math>. 

Clearly, then, each value of <math>~\mathcal{X}</math> is associated with two different values of the parametric parameter, <math>~\tilde\xi</math>.  By inverting the <math>~\mathcal{X}(\tilde\xi)</math> parametric expression we see that, the two values of <math>~\tilde\xi</math> associated with a given equilibrium radius are,
<div align="center">
<table border="0" cellpadding="5" align="center">

<tr>
  <td align="right">
<math>~\tilde\xi_\pm</math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~\biggl\{\frac{3}{\alpha} \biggl[ 1 \pm \sqrt{1 - \alpha^2} \biggr]  \biggr\}^{1/2} \, ,</math>
  </td>
</tr>
</table>
</div>

where,
<div align="center">
<table border="0" cellpadding="5" align="center">

<tr>
  <td align="right">
<math>~\alpha</math>
  </td>
  <td align="center">
<math>~\equiv</math>
  </td>
  <td align="left">
<math>~\frac{(\mathcal{X}/\mathcal{X}_\mathrm{xmax})^2}{2-(\mathcal{X}/\mathcal{X}_\mathrm{xmax})^2} \, .</math>
  </td>
</tr>
</table>
</div>
We note as well that, for a given equilibrium radius, <math>~\mathcal{X}</math>, the ''ratio'' of the two mass solutions is given by a very simple expression, namely,
<div align="center">
<table border="0" cellpadding="5" align="center">

<tr>
  <td align="right">
<math>~\frac{\mathcal{Y}_-}{\mathcal{Y}_+} = \frac{\tilde\xi_-^2}{3}</math>
  </td>
  <td align="center">
&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; or &nbsp; &nbsp; &nbsp; &nbsp; 
  </td>
  <td align="left">
<math>~\frac{\mathcal{Y}_+}{\mathcal{Y}_-} = \frac{\tilde\xi_+^2}{3} \, .</math>
  </td>
</tr>
</table>
</div>
This implies, as well, that,
<div align="center">
<table border="0" cellpadding="5" align="center">

<tr>
  <td align="right">
<math>~\tilde\xi_+ \cdot \tilde\xi_-</math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~3\, .</math>
  </td>
</tr>
</table>
</div>

====Plotting the Virial Theorem Relation====

[[User:Tohline/SSC/Virial/PolytropesEmbedded/SecondEffortAgain#ConciseFreeEnergyExpression|Drawing from our above derivations, the concise free-energy expression]] that reflects the properties of pressure-truncated <math>~n = 5</math> polytropic configurations is,
<div align="center">
<table border="0" cellpadding="5" align="center">

<tr>
  <td align="right">
<math>~\mathfrak{G}^*</math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~
- \frac{18}{5}\cdot \mathcal{A}_{M_\ell}  \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{SWS}} \biggr)^{2} \biggl(\frac{R}{R_\mathrm{SWS}}\biggr)^{-1} 
+~ 5\mathcal{B}_{M_\ell}  \cdot \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{SWS}} \biggr)^{6/5}  \biggl(\frac{R}{R_\mathrm{SWS}}\biggr)^{-3/5} 
+~ \frac{4\pi}{3} \cdot \biggl(\frac{R}{R_\mathrm{SWS}}\biggr)^{3}  \, , 
</math>
  </td>
</tr>
</table>
</div>
where,
<div align="center">
<table border="0" cellpadding="5">
<tr>
  <td align="right">
<math>~\mathcal{A}_{M_\ell}</math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~
\frac{1}{5} \cdot \frac{\tilde\mathfrak{f}_W}{\tilde\mathfrak{f}_M^2}  
=\frac{1}{3^2\cdot 5} \biggl( \frac{\tilde\xi}{-\tilde\theta^'} \biggr)^2 \tilde\mathfrak{f}_W \, ,
</math>
  </td>
</tr>

<tr>
  <td align="right">
<math>~\mathcal{B}_{M_\ell}</math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~
\biggl( \frac{3}{4\pi}\biggr)^{1/5} \frac{\tilde\mathfrak{f}_A}{\tilde\mathfrak{f}_M^{6/5}} 
= \frac{1}{3}( 4\pi)^{-1/5} \biggl( \frac{\tilde\xi}{-\tilde\theta^'} \biggr)^{6/5}
\biggl[ \tilde\theta^6 + \frac{2}{5} \cdot \tilde\xi^2 \tilde\mathfrak{f}_W \biggr] \, .
</math>
  </td>
</tr>
</table>
</div>

The virial theorem which is derived from this free-energy expression provides a mass-radius relationship to be compared with the detailed force-balance relationship presented by Stahler.
Because our intent is to make this comparison, we begin with the virial theorem as written in terms of the variables, <math>~\mathcal{X}</math> and <math>~\mathcal{Y}</math>, and specialized for the case of <math>~n = 5</math> polytropic configurations.  Written in terms of the (constant) coefficients in the free-energy expression, we have
<div align="center">
<table border="0" cellpadding="5" align="center">

<tr>
  <td align="right">
<math>~
\mathcal{X}^4  
- \frac{3\mathcal{B}_{M_\ell}}{4\pi} \cdot ( \mathcal{X} \mathcal{Y}^3 )^{2/5}  
+~ \frac{9 \mathcal{A}_{M_\ell}}{10\pi}\cdot \mathcal{Y}^{2}
</math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~0 \, ;</math>
  </td>
</tr>
</table>
</div>
or, [[User:Tohline/SSC/Virial/PolytropesEmbedded/SecondEffortAgain#ConciseVirialXY|from above]], the
<div align="center">
<table border="0" cellpadding="8" align="center">
<tr><td align="center">
<font color="#770000">'''Virial Theorem written in terms of <math>~\mathcal{X}</math>, <math>~\mathcal{Y}</math>, and <math>~\tilde\mathfrak{f}_W</math>'''</font><br />

<math>~
\mathcal{X}^4   ~- ~
(\mathcal{X} \mathcal{Y}^3)^{2/5} 
\biggl[\frac{\tilde\xi}{4\pi (-\tilde\theta^')}\biggr]^{6/5} \biggl[\tilde\theta^{6} +  \frac{2}{5} \cdot \tilde\xi^2 \tilde\mathfrak{f}_W \biggr]
~+ ~ \mathcal{Y}^2 \biggl[\frac{\tilde\xi}{(- \tilde\theta^')} \biggr]^2 \frac{\tilde\mathfrak{f}_W}{2\cdot 5^2 \pi} 
= 0 \, ,
</math>
</td></tr>
</table>
</div>
where, specifically for <math>~n = 5</math> polytropic configurations &#8212; see our [[User:Tohline/SSC/Structure/PolytropesEmbedded#Tabular_Summary_.28n.3D5.29|summary of the radial profiles of physical variables]] and our [[User:Tohline/SSC/Virial/FormFactors#Summary_.28n.3D5.29|determination of expressions for the structural form-factors]],
<div align="center">
<table border="0" cellpadding="5" align="center">

<tr>
  <td align="right">
<math>~\tilde\theta</math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~  
( 1+ \ell^2 )^{-1/2} \, ,
</math>
  </td>
</tr>

<tr>
  <td align="right">
<math>~\tilde\theta^'</math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~  
- 3^{-1/2} \ell ( 1+ \ell^2 )^{-3/2} \, ,
</math>
  </td>
</tr>

<tr>
  <td align="right">
<math>~\mathfrak{f}_W</math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~  
\frac{5}{2^4} \cdot \ell^{-5}  
\biggl[ \ell \biggl( \ell^4 - \frac{8}{3}\ell^2 - 1 \biggr)(1 + \ell^2)^{-3} + \tan^{-1}(\ell ) \biggr] \, ,
</math>
  </td>
</tr>

<tr>
  <td align="right">
<math>~\ell^2</math>
  </td>
  <td align="center">
<math>~\equiv</math>
  </td>
  <td align="left">
<math>~  
\frac{\tilde\xi^2}{3} \, .
</math>
  </td>
</tr>
</table>
</div>

Once numerical values have been assigned to the free-energy coefficients, <math>~\mathcal{A}_{M_\ell}</math> and <math>~\mathcal{B}_{M_\ell}</math>, the mass-radius relationship given by the scalar virial theorem can be compared quantitatively with Stahler's (detailed force-balance) mass-radius relationship.  The simplest, physically reasonable approximation would be to assume uniform-density structures, in which case, <math>~\tilde\mathfrak{f}_M = \tilde\mathfrak{f}_W = \tilde\mathfrak{f}_A = 1</math>, and accordingly, <math>~\mathcal{A}_{M_\ell} = 5^{-1}</math> and <math>~\mathcal{B}_{M_\ell} = (4\pi/3)^{-1/5}</math>.  But a better approximation would be to assign values to the structural form-factors that properly represent the properties of at least one detailed force-balanced model.  By way of illustration, the following table details what the proper values are for the two free-energy coefficients, and other relevant parameters, specifically for the model along Stahler's sequence that sits at <math>~\mathcal{Y}_\mathrm{max}</math> &#8212; that is, the model whose truncation radius is <math>~\tilde\xi = 3</math>.  As is recorded in the table, in this case the precise values of the free-energy coefficients are,
<div align="center">
<table border="0" cellpadding="5" align="center">

<tr>
  <td align="right">
<math>~\mathcal{A}_{M_\ell}</math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~  
\biggl( \frac{2^4 \pi^2}{3^7} \biggr)^{1/2} \, ,
</math>
  </td>
</tr>

<tr>
  <td align="right">
<math>~\mathcal{B}_{M_\ell}</math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~  
\biggl( \frac{3}{2^{14}\pi} \biggr)^{1/5} \biggl[  1 +
\biggl( \frac{2^6\pi^2}{3^3} \biggr)^{1/2}\biggr] \, .
</math>
  </td>
</tr>
</table>
</div>
Notice that, by choosing <math>~\tilde\xi = 3</math>, the evaluation of <math>~\tilde\mathfrak{f}_W</math> is particularly simple, in part, because <math>~\tan^{-1}(\ell) = \tan^{-1} \sqrt{3} = \pi/3</math>, but also because the term <math>~(\ell^4 - 8\ell^2/3 - 1)</math> equals zero.


<div align="center" id="ExampleXi3">
<table border="1" align="center" cellpadding="8">
<tr>
  <th align="center" colspan="3">
Determination of Coefficient Values in the Specific Case of <math>~\tilde\xi = 3</math>
  </th>
</tr>
<tr>
  <td align="center">
Quantity
  </td>
  <td align="center">
Analytic Evaluation
  </td>
  <td align="center">
Numerical
  </td>
</tr>
<tr>
  <td align="center">
<math>~\ell</math>
  </td>
  <td align="center">
<math>~3^{1/2}</math>
  </td>
  <td align="left">
<math>~1.732051</math>
  </td>
</tr>

<tr>
  <td align="center">
<math>~\tilde\theta</math>
  </td>
  <td align="center">
<math>~2^{-1}</math>
  </td>
  <td align="left">
<math>~0.5</math>
  </td>
</tr>

<tr>
  <td align="center">
<math>~\tilde\theta^'</math>
  </td>
  <td align="center">
<math>~2^{-3}</math>
  </td>
  <td align="left">
<math>~0.125</math>
  </td>
</tr>

<tr>
  <td align="center">
<math>~\mathcal{X}</math>
  </td>
  <td align="center">
<math>~\biggl( \frac{3^2\cdot 5}{2^6\pi} \biggr)^{1/2}</math>
  </td>
  <td align="left">
<math>~0.473087</math>
  </td>
</tr>

<tr>
  <td align="center">
<math>~\mathcal{Y}</math>
  </td>
  <td align="center">
<math>~\biggl( \frac{3^4\cdot 5^3}{2^{10}\pi} \biggr)^{1/2}</math>
  </td>
  <td align="left">
<math>~1.774078</math>
  </td>
</tr>

<tr>
  <td align="center">
<math>~\tilde\mathfrak{f}_W</math>
  </td>
  <td align="center">
<math>~\biggl( \frac{5^2 \pi^2}{2^8\cdot 3^7} \biggr)^{1/2}</math>
  </td>
  <td align="left">
<math>~0.020993</math>
  </td>
</tr>

<tr>
  <td align="center">
<math>~\mathcal{A}_{M_\ell}</math>
  </td>
  <td align="center">
<math>~\biggl( \frac{2^4 \pi^2}{3^7} \biggr)^{1/2}</math>
  </td>
  <td align="left">
<math>~0.268711</math>
  </td>
</tr>

<tr>
  <td align="center">
<math>~\mathcal{B}_{M_\ell}</math>
  </td>
  <td align="center">
<math>~\biggl( \frac{3}{2^{14}\pi} \biggr)^{1/5} \biggl[  1 +
\biggl( \frac{2^6\pi^2}{3^3} \biggr)^{1/2}\biggr]</math>
  </td>
  <td align="left">
<math>~0.830395</math>
  </td>
</tr>

<tr>
  <td align="center">
<math>~G^*</math>
  </td>
  <td align="center">
<math>~\biggl( \frac{3\cdot 5^3}{2^{12}\pi} \biggr)^{1/2} [  2^3\pi + 3^{5/2} ]</math>
  </td>
  <td align="left">
<math>~6.951544</math>
  </td>
</tr>

<tr>
  <td align="left">
Virial: 

<math>~\mathcal{X}^4 - \frac{3\mathcal{B}_{M_\ell}}{4\pi} \cdot (\mathcal{X}\mathcal{Y}^3 )^{2/5}</math>

&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; <math>~~~~~~~~~~+\frac{9 \mathcal{A}_{M_\ell}}{10\pi} \cdot \mathcal{Y}^2</math>
  </td>
  <td align="left">
<math>~ \frac{3^4\cdot 5^2}{2^{12}\pi} - 
\frac{3^4\cdot 5^2}{2^{12}\pi} \biggl[  1 + \biggl( \frac{2^6\pi^2}{3^3} \biggr)^{1/2}\biggr]</math>

&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; <math>~~~~~~~~~~+ \biggl( \frac{3^5\cdot 5^4}{2^{18} \pi^2} \biggr)^{1/2}
</math>
  </td>
  <td align="left">
Sums to zero, 

exactly!
  </td>
</tr>
</table>
</div>


The curve traced out by the light-blue diamonds in each panel of the following comparison figure displays Stahler's analytically prescribed mass-radius relation; this curve is identical in all six panels and is the same as the [[User:Tohline/SSC/Virial/PolytropesEmbedded/SecondEffortAgain#Plotting_Stahler.27s_Relation|curve displayed above]] in connection with our description of Stahler's mass-radius relation.  Each point along this "Stahler" curve identifies a model having a different truncation radius, <math>~\tilde\xi</math>; as plotted here, starting near the origin and moving counter-clockwise around the curve, <math>~\tilde\xi</math> is varied from 0.05 to 42.5.  As foreshadowed by the above discussion, the model having the greatest mass <math>~(\mathcal{Y}_\mathrm{max})</math> along the Stahler sequence &#8212; highlighted by the red filled circle in most of the figure panels &#8212;  is defined by <math>~\tilde\xi = 3</math>.  

In each figure panel, the curve traced out by the orange triangles &#8212; or, in one case, the orange triangles &amp; light purple diamonds &#8212; displays the mass-radius relation defined by the virial theorem.  These "Virial" curves are all defined by the same virial theorem polynomial expression, as just presented, but the coefficient of the <math>~\mathcal{Y}^2</math> term and the coefficient of the <math>~(\mathcal{X}\mathcal{Y}^3)^{2/5}</math> cross term &#8212; essentially, the value of <math>~\mathcal{A}_{M_\ell}</math> and the value of <math>~\mathcal{B}_{M_\ell}</math>, respectively &#8212; have different values in the six separate figure panels.  In each case, a value has been specified for the parameter, <math>~\tilde\xi</math> (as identified in the title of each figure panel), and this, in turn, has determined the values of the two (constant) free-energy coefficients.  For example, in the top-right figure panel whose title indicates <math>~\tilde\xi = 3</math>, the "Virial" curve traces the mass-radius relation prescribed by the virial theorem after the values of the free-energy coefficients have been set to values that correspond to a detailed force-balanced model with this specified truncation radius, that is (see the above table),  <math>~\mathcal{A}_{M_\ell} = 0.268711</math> and <math>~\mathcal{B}_{M_\ell} = 0.830395</math>.  Columns 2 and 3, respectively, of the table affixed to the bottom of the following comparison figure list the values of <math>~\mathcal{A}_{M_\ell}</math> and <math>~\mathcal{B}_{M_\ell}</math> that have been used to define the "Virial" curve in each of the six figure panels, in accordance with the value of <math>~\tilde\xi</math> listed in column 1 of the table.


<div align="center" id="OverlapPlots">
<table border="1" cellpadding="8" align="center">
<tr>
  <th align="center" colspan="7">
Comparing Two Separate Mass-Radius Relations for Pressure-Truncated ''n = 5'' Polytropes
  </th>
</tr>
<tr>
<td align="center" colspan="3">
[[File:Xi1.26419.png|225px|Comparison of Two Mass-Radius Relations]]
</td>
<td align="center" colspan="2">
[[File:Xi2.0.png|225px|Comparison of Two Mass-Radius Relations]]
</td>
<td align="center" colspan="2">
[[File:Xi3.0.png|225px|Comparison of Two Mass-Radius Relations]]
</td>
</tr>
<tr>
<td align="center" colspan="3">
[[File:Xi3.5.png|225px|Comparison of Two Mass-Radius Relations]]
</td>
<td align="center" colspan="2">
[[File:Xi3.850652.png|225px|Comparison of Two Mass-Radius Relations]]
</td>
<td align="center" colspan="2">
[[File:Xi9.8461.png|225px|Comparison of Two Mass-Radius Relations]]
</td>
</tr>

<tr>
  <td align="center" rowspan="2">
<math>~\tilde\xi</math>
  </td>
  <td align="center" colspan="2">
Free-Energy Coefficients
  </td>
  <td align="center" colspan="2">
Primary Overlap
  </td>
  <td align="center" colspan="2">
Secondary Overlap

(see [[User:Tohline/SSC/Virial/PolytropesEmbedded/SecondEffortAgain#SecondaryOverlap|further elaboration below]])
  </td>
</tr>

<tr>
  <td align="center">
<math>~\mathcal{A}_{M_\ell}</math>
  </td>
  <td align="center">
<math>~\mathcal{B}_{M_\ell}</math>
  </td>
  <td align="center">
<math>~\mathcal{X} \equiv \frac{R_\mathrm{eq}}{R_\mathrm{SWS}}</math>
  </td>
  <td align="center">
<math>~\mathcal{Y} \equiv \frac{M_\mathrm{limit}}{M_\mathrm{SWS}}</math>
  </td>
  <td align="center">
<math>~\mathcal{X}</math>
  </td>
  <td align="center">
<math>~\mathcal{Y}</math>
  </td>
</tr>

<tr>
<td align="center">
1.26419
</td>
<td align="center">
0.214429
</td>
<td align="center">
0.758099
</td>
<td align="center" bgcolor="yellow">
0.520269
</td>
<td align="center" bgcolor="yellow">
0.904142
</td>
<td align="center">
0.388938
</td>
<td align="center">
0.289568
</td>
</tr>

<tr>
<td align="center">
2
</td>
<td align="center">
0.233842
</td>
<td align="center">
0.779836
</td>
<td align="center">
0.540671
</td>
<td align="center">
1.544775
</td>
<td align="center">
0.468918
</td>
<td align="center">
0.570916
</td>
</tr>

<tr>
<td align="center">
[[User:Tohline/SSC/Virial/PolytropesEmbedded/SecondEffortAgain#ExampleXi3|3]]
</td>
<td align="center">
0.268711
</td>
<td align="center">
0.830395
</td>
<td align="center">
0.473087
</td>
<td align="center">
1.774078
</td>
<td align="center">
0.507387
</td>
<td align="center">
0.798441
</td>
</tr>

<tr>
<td align="center">
3.5
</td>
<td align="center">
0.288708
</td>
<td align="center">
0.861503
</td>
<td align="center">
0.434310
</td>
<td align="center">
1.744359
</td>
<td align="center">
0.515168
</td>
<td align="center">
0.859518
</td>
</tr>

<tr>
<td align="center">
3.850652
</td>
<td align="center">
0.303490
</td>
<td align="center">
0.884746
</td>
<td align="center">
0.408738
</td>
<td align="center">
1.699778
</td>
<td align="center">
0.518588
</td>
<td align="center">
0.888969
</td>
</tr>

<tr>
<td align="center">
9.8461
</td>
<td align="center">
0.601012
</td>
<td align="center">
1.313904
</td>
<td align="center">
0.186424
</td>
<td align="center">
0.904141
</td>
<td align="center" bgcolor="yellow">
0.520269
</td>
<td align="center" bgcolor="yellow">
0.904143
</td>
</tr>
</table>
</div>


As is [[User:Tohline/SSC/Virial/PolytropesEmbedded/SecondEffortAgain#Quantitative_Study|discussed more fully, below]], in each of the six panels of the above comparison figure, the "Virial" curve intersects the "Stahler" curve at two locations.  These points of intersection are identified by the black filled circles in each figure panel.  In each case, the intersection point that is farthest along on the Stahler sequence &#8212; as determined by starting at the origin and moving counter-clockwise along the sequence &#8212; identifies the "Primary Overlap" between the two curves.  That is to say, the <math>~(\mathcal{X}, \mathcal{Y})</math> coordinates of this point (see columns 4 and 5 of the table affixed to the bottom of the figure) are the coordinate values that are obtained by plugging the specified value of <math>~\tilde\xi</math> (see the title of the figure panel or column 1 of the affixed table) into [[User:Tohline/SSC/Virial/PolytropesEmbedded/SecondEffortAgain#Parametric_Relations|Stahler's pair of parametric relations]].  The second point of intersection in each panel &#8212; which we will refer to as the "Secondary Overlap" points and whose coordinates are provided in columns 6 and 7 of the affixed table &#8212; appears to be fortuitous and of no particularly significant astrophysical interest.


The mass-radius diagram displayed in the top-right panel of the [[User:Tohline/SSC/Virial/PolytropesEmbedded/SecondEffortAgain#OverlapPlots|above comparison figure]] has been reproduced in the upper-left panel of the [[User:Tohline/SSC/Virial/PolytropesEmbedded/SecondEffortAgain#GraphicalDepictionXi3|following figure]] &#8212; in this case, with a coordinate aspect ratio that is closer to 1:1  &#8212; along with color images of the corresponding free-energy surface, viewed from two different perspectives, and a three-column table listing the 3D coordinates, <math>~(X,Y,Z) = (R_\mathrm{eq}/R_\mathrm{SWS}, M_\mathrm{limit}/M_\mathrm{SWS}, \mathfrak{G}^*)</math>, of the seventeen points that have been used to define the displayed "Virial" curve.  To be more explicit, the rainbow-colored free-energy surface, <math>~\mathfrak{G}^*(R,M_\mathrm{limit})</math>, has been defined by the free-energy function appropriate to pressure-truncated <math>~n=5</math> polytropic configurations [[User:Tohline/SSC/Virial/PolytropesEmbedded/SecondEffortAgain#Plotting_the_Virial_Theorem_Relation|as defined above]], that is,
<div align="center">
<table border="0" cellpadding="5" align="center">

<tr>
  <td align="right">
<math>~\mathfrak{G}^*</math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~
- \frac{18}{5}\cdot \mathcal{A}_{M_\ell}  \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{SWS}} \biggr)^{2} \biggl(\frac{R}{R_\mathrm{SWS}}\biggr)^{-1} 
+~ 5\mathcal{B}_{M_\ell}  \cdot \biggl( \frac{M_\mathrm{limit}}{M_\mathrm{SWS}} \biggr)^{6/5}  \biggl(\frac{R}{R_\mathrm{SWS}}\biggr)^{-3/5} 
+~ \frac{4\pi}{3} \cdot \biggl(\frac{R}{R_\mathrm{SWS}}\biggr)^{3}  \, , 
</math>
  </td>
</tr>
</table>
</div>

with the values of the two free-energy coefficients set to the values that correspond to a <math>~\tilde\xi = 3</math> virial curve as discussed above, namely, <math>~\mathcal{A}_{M_\ell} = 0.268711</math> and <math>~\mathcal{B}_{M_\ell} = 0.830395</math>.


<div align="center" id="GraphicalDepictionXi3">
<table border="1" cellpadding="8" align="center">
<tr>
  <th align="center" colspan="2">
Free-Energy Surface for ''n = 5'' Polytropic Configurations Truncated at <math>~\tilde\xi = 3</math>
  </th>
  <th align="center" colspan="1">
Radius
  </th>
  <th align="center" colspan="1">
Mass
  </th>
  <th align="center" colspan="1">
Free

Energy
  </th>
</tr>
<tr>
<td align="center" rowspan="8">
[[File:VirialEquilibria.png|150px|Virial Mass-Radius Relation]]
</td>
<td align="center" rowspan="8" bgcolor="CCFFFF">
[[File:FreeEnergyFaceOn.png|325px|Virial Mass-Radius Relation on top of Free-Energy Surface]]
</td>
<td align="right" rowspan="1" bgcolor="lightblue">
0.3152
</td>
<td align="right" rowspan="1" bgcolor="lightblue">
0.1345
</td>
<td align="right" rowspan="1" bgcolor="lightblue">
0.8231
</td>
</tr>

<tr>
<td align="right" rowspan="1">
0.4159
</td>
<td align="right" rowspan="1">
0.3470
</td>
<td align="right" rowspan="1">
1.9947
</td>
</tr>

<tr>
<td align="right" rowspan="1" bgcolor="lightblue">
0.4731
</td>
<td align="right" rowspan="1" bgcolor="lightblue">
0.5735
</td>
<td align="right" rowspan="1" bgcolor="lightblue">
3.1095
</td>
</tr>

<tr>
<td align="right" rowspan="1" bgcolor="white">
0.5035
</td>
<td align="right" rowspan="1" bgcolor="white">
0.7661
</td>
<td align="right" rowspan="1" bgcolor="white">
3.9591
</td>
</tr>

<tr>
<td align="right" rowspan="1" bgcolor="white">
0.5114
</td>
<td align="right" rowspan="1" bgcolor="white">
0.8347
</td>
<td align="right" rowspan="1" bgcolor="white">
4.2409
</td>
</tr>

<tr>
<td align="right" rowspan="1" bgcolor="lightblue">
0.5297
</td>
<td align="right" rowspan="1" bgcolor="lightblue">
1.0759
</td>
<td align="right" rowspan="1" bgcolor="lightblue">
5.1453
</td>
</tr>

<tr>
<td align="right" rowspan="1" bgcolor="lightblue">
0.5310
</td>
<td align="right" rowspan="1" bgcolor="lightblue">
1.4036
</td>
<td align="right" rowspan="1" bgcolor="lightblue">
6.1560
</td>
</tr>

<tr>
<td align="right" rowspan="1" bgcolor="white">
0.5250
</td>
<td align="right" rowspan="1" bgcolor="white">
1.5010
</td>
<td align="right" rowspan="1" bgcolor="white">
6.4046
</td>
</tr>

<tr>
<td align="center" colspan="2" rowspan="9" bgcolor="#CCFFFF">
[[File:FreeEnergySurface.png|450px|Free-Energy Surface]]
</td>
<td align="right" rowspan="1" bgcolor="white">
0.5185
</td>
<td align="right" rowspan="1" bgcolor="white">
1.5680
</td>
<td align="right" rowspan="1" bgcolor="white">
6.5606
</td>
</tr>

<tr>
<td align="right" rowspan="1" bgcolor="lightblue">
0.5114
</td>
<td align="right" rowspan="1" bgcolor="lightblue">
1.6206
</td>
<td align="right" rowspan="1" bgcolor="lightblue">
6.6741
</td>
</tr>

<tr>
<td align="right" rowspan="1" bgcolor="black"><font color="white">
0.4731</font>
</td>
<td align="right" rowspan="1" bgcolor="black"><font color="white">
1.7741</font>
</td>
<td align="right" rowspan="1" bgcolor="black"><font color="white">
6.9515</font>
</td>
</tr>

<tr>
<td align="right" rowspan="1" bgcolor="lightblue">
0.4343
</td>
<td align="right" rowspan="1" bgcolor="lightblue">
1.8287
</td>
<td align="right" rowspan="1" bgcolor="lightblue">
7.0247
</td>
</tr>

<tr>
<td align="right" rowspan="1" bgcolor="red"><font color="white">
0.3984</font>
</td>
<td align="right" rowspan="1" bgcolor="red"><font color="white">
1.8333</font>
</td>
<td align="right" rowspan="1" bgcolor="red"><font color="white">
7.0301</font>
</td>
</tr>

<tr>
<td align="right" rowspan="1" bgcolor="lightblue">
0.3379
</td>
<td align="right" rowspan="1" bgcolor="lightblue">
1.7764
</td>
<td align="right" rowspan="1" bgcolor="lightblue">
6.9923
</td>
</tr>

<tr>
<td align="right" rowspan="1" bgcolor="lightblue">
0.2911
</td>
<td align="right" rowspan="1" bgcolor="lightblue">
1.6909
</td>
<td align="right" rowspan="1" bgcolor="lightblue">
6.9541
</td>
</tr>

<tr>
<td align="right" rowspan="1" bgcolor="lightblue">
0.2260
</td>
<td align="right" rowspan="1" bgcolor="lightblue">
1.5229
</td>
<td align="right" rowspan="1" bgcolor="lightblue">
6.9091
</td>
</tr>

<tr>
<td align="right" rowspan="1" bgcolor="lightblue">
0.1545
</td>
<td align="right" rowspan="1" bgcolor="lightblue">
1.2749
</td>
<td align="right" rowspan="1" bgcolor="lightblue">
6.8786
</td>
</tr>
</table>
</div>

In the bottom panel of this figure, the undulating free-energy surface is drawn in three dimensions and viewed from a vantage point that illustrates its "valley of stability" and "ridge of instability;" the surface color correlates with the value of the free energy.  Twelve small colored dots identify extrema &#8212; either the bottom of a valley or the top of a ridge &#8212; in the free-energy function and therefore trace the mass-radius relation defined by the scalar virial theorem.  The 3D coordinates of these twelve points are provided in the three-column table that is affixed to the righthand edge of the figure:  The coordinates of the (only) red dot are provided in row 13 of the table (red has also been assigned as the "bgcolor" of this table row); the equilibrium configuration having the greatest mass along the intersecting Stahler sequence is identified by the (only) black dot (coordinates are provided in row 11 of the table and, correspondingly, bgcolor="black" for that row); bgcolor="lightblue" has been assigned to the other rows of the affixed table that provide coordinates of the other 10, blue dots.

The upper-right panel of this figure presents the two-dimensional projection that results from viewing the identical free-energy surface "from above," along a line of sight that is parallel to the free-energy <math>~(Z)</math> axis and looking directly down onto the radius-mass <math>~(X-Y)</math> plane. From this vantage point, the twelve small colored dots cleanly trace out the <math>~M_\mathrm{limit}(R_\mathrm{eq})</math> equilibrium sequence that is defined by the scalar virial theorem, exactly reproducing the "Virial" curve that is depicted in the mass-radius diagram shown in the upper-left panel of the figure.

==Discussion==
A spherically symmetric, self-gravitating gas cloud whose effective adiabatic exponent is <math>~\gamma < 4/3</math> &#8212; equivalently, <math>~n > 3</math> &#8212; cannot exist in a dynamically stable equilibrium state, in isolation.  Such clouds can be stabilized, however, if they are embedded in a hot, tenuous external medium and effectively confined by an external pressure, <math>~P_e</math>.  The pressure-truncated, <math>~n = 5 ~(\gamma = 6/5)</math> polytropic configurations being discussed here provide examples of such embedded clouds.  A direct analogy can be drawn between this discussion and discussions of pressure-truncated isothermal <math>~(\gamma = 1; n = \infty)</math> clouds &#8212; see, for example, our review of isothermal cloud structures in the context of [[User:Tohline/SSC/Structure/BonnorEbert#Pressure-Bounded_Isothermal_Sphere|Bonnor-Ebert spheres]].  

===Part I:  Physical Significance of the Two Curves===
The "Stahler" mass-radius relation, plotted as a continuous curve [[User:Tohline/SSC/Virial/PolytropesEmbedded/SecondEffortAgain#Plotting_Stahler.27s_Relation|in the above figure]] and reproduced as a sequence of discrete points in each panel of the subsequent [[User:Tohline/SSC/Virial/PolytropesEmbedded/SecondEffortAgain#Plotting_the_Virial_Theorem_Relation|comparison figure]], identifies the precise mass <math>~(\mathcal{Y})</math> and associated radius <math>~(\mathcal{X})</math> of physically allowed pressure-truncated, <math>~n = 5</math> polytropic configurations over the full range of values of the dimensionless truncation radius, <math>~0 < \tilde\xi < \infty</math>.  Each model along the curve has an internal structure that ensures detailed force balance throughout the configuration; because this internal structure varies from model to model, the values of the structural form-factors &#8212; <math>~\mathfrak{f}_M, \mathfrak{f}_W</math>, and <math>~\mathfrak{f}_A</math> &#8212; and the corresponding values of the coefficients associated with the free-energy function &#8212; <math>~\mathcal{A}_{M_\ell}</math> and <math>~\mathcal{B}_{M_\ell}</math> &#8212; will also vary from model to model along the Stahler curve.  

If the values of the coefficients, <math>~\mathcal{A}_{M_\ell}</math> and <math>~\mathcal{B}_{M_\ell}</math> (as well as the external pressure and, hence, the additional coefficient, <math>~\mathcal{D}</math>) are  held fixed, the  [[User:Tohline/SSC/Virial/PolytropesEmbedded/SecondEffortAgain#Free_Energy_Function_and_Virial_Theorem|algebraic free-energy function]] defines how a configuration's free energy will change as its overall size is varied.  Extrema in the free energy will identify equilibrium configurations.  Based on this understanding, our derived virial theorem expression for <math>~n = 5</math> polytropic configurations identifies equilibrium radii <math>~(\mathcal{X})</math> associated with various configuration masses <math>~(\mathcal{Y})</math>.  The "Virial" curve that has been plotted in each panel of the above [[User:Tohline/SSC/Virial/PolytropesEmbedded/SecondEffortAgain#Plotting_the_Virial_Theorem_Relation|comparison figure]] shows how the equilibrium radius varies with configuration mass, as dictated by the virial theorem &#8212; and, hence, as identified by extrema in the free-energy function &#8212; assuming that the relevant free-energy coefficients are held fixed.  In each figure panel, this "Virial" curve ''qualitatively'' resembles the quantitatively correct, "Stahler" mass-radius relationship that has been derived from the properties of detailed force-balance models.  The two curves overlap, and cross, wherever the coefficients used to define the "Virial" relation are identical to the coefficient values that are associated with a specific model along the "Stahler" relation.  The two curves do not trace out identical mass-radius relationships simply because the structural form factors vary from model to model along the "Stahler" sequence. 

In the context of star formation, the Stahler sequence can be viewed as an ''evolutionary'' sequence for cold protostellar gas clouds that are embedded in a hot, tenuous interstellar medium.  An initially low-mass cloud is represented by an equilibrium configuration that has been truncated at a very small Lane-Emden radius, <math>~\tilde\xi</math>; such clouds will appear near the origin of the displayed <math>~\mathcal{X}-\mathcal{Y}</math> plane, at a point along the "lower" segment of the Stahler mass-radius relation.  Over time, as the cloud grows in mass (through collisions with and accretion of other low-mass clouds, for example), it will slide up the lower segment of the Stahler curve, moving in a counter-clockwise direction further and further away from the plot origin.  The mass-accretion process that drives the cloud's evolution presumably occurs on a time scale that is long compared to the local dynamical-readjustment time of the cloud, allowing the cloud's internal structure time to readjust and establish the properties defined by Stahler's detailed force-balance analysis.

===Part II:  Curve Intersections===
====Early Thoughts====
Notice that, in each frame of the [[User:Tohline/SSC/Virial/PolytropesEmbedded/SecondEffortAgain#OverlapPlots|above comparison figure]], the "Virial" curve intersects and crosses the "Stahler" curve at two locations.  In each plot these two crossing points are identified by filled black circles and, in each plot, the crossing point that lies farthest along the curve &#8212; again, starting from near the origin and moving around the curve in a counter-clockwise direction &#8212; is associated with the equilibrium model on the Stahler curve that is defined by the same value of <math>~\tilde\xi</math> that was used to define the coefficients of the virial theorem mass-radius relation.  This is not surprising, as the virial theorem ''should'' be precisely satisfied by every one of the equilibrium models along the Stahler sequence, as long as the value of <math>~\tilde\xi</math> that is used to define the coefficients of the free-energy function and, in turn, the virial theorem mass-radius relation is identical to the value of <math>~\tilde\xi</math> that defines the truncation radius of the detailed force-balance model.  For example, the "Virial" curve that appears in the top-right panel of the comparison figure &#8212; a panel whose title includes the notation, <math>~\xi = 3</math> &#8212; intersects the "Stahler" curve at <math>~\mathcal{Y}_\mathrm{max}</math>, that is, at the location of the detailed force-balance model that, as previously explained, has a truncation radius, <math>~\tilde\xi = 3</math>.  

It is not (yet) clear to us what physical significance should be ascribed to the model along the Stahler sequence that is identified by the ''second'' crossing of the "Virial" curve, given that the value of <math>~\tilde\xi</math> associated with the truncation radius of this ''second'' detailed force-balance model is not the same as the value of <math>~\tilde\xi</math> that was used to define the coefficients of the "Virial" curve.  We note that, at least for the range of values of <math>~\tilde\xi</math> sampled in the above figure, this second crossing point seems to hover around the same limited segment of the Stahler sequence.  

By direct analogy with [[User:Tohline/SSC/Structure/BonnorEbert#Pressure-Bounded_Isothermal_Sphere|discussions of Bonnor-Ebert spheres]], the "maximum mass" model associated with <math>~\mathcal{Y}_\mathrm{max}</math> along the Stahler mass-radius relation has important physical significance in astrophysics.  For a given applied external pressure, however, no models exist above some limiting mass &#8212; identified, here, by <math>~\mathcal{Y}_\mathrm{max}</math>.

====Analysis Philosophy====
The mass-radius relationship that derives from detailed force-balanced models is a physically meaningful and reliable statement of how a configuration's equilibrium radius will vary if its mass is changed.  (It must be accepted that the configuration's structural form factors will change as it settles into each new equilibrium state, so such an "evolution" must occur on a ''secular'' time scale.)  From the outset, however, the mass-radius relationship derived via the virial theorem &#8212; which, itself, derives from an analysis of the free energy function &#8212; should not be relied upon for the same physical insight.  Consider, for example, that the scalar virial theorem is obtained from an analysis of the free-energy function by varying a system's size ''while holding constant all coefficients in the free-energy expression''; this means that the system's mass as well as its structural form factors is held fixed while searching for an extremum in the free energy.  The temptation, then, is to use the virial theorem to predict what the configuration's new equilibrium size will be if the system's mass is changed while holding the coefficients in the virial theorem constant.  This means holding the structural form factors constant but not simultaneously holding the mass constant, and this differs from the constraints put on the free-energy function analysis that led to the virial theorem expression in the first place!

But we can combine the two analyses &#8212; the detailed force-balance analysis and the free-energy analysis &#8212; in the following meaningful way.  Use the detailed force-balance analysis to identify the properties of an equilibrium state, specifically, for a given mass, determine the system's equilibrium radius and its accompanying structural form factors.  (The virial theorem will be satisfied by this same set of determined parameter values.)  Then, holding both the mass and the structural form factors constant, see how the free energy of the system varies as the configuration's size changed.  In this manner the system's ''dynamical'' stability can be ascertained.

In summary:  The mass-radius relationship determined from an analysis of detailed force-balanced models defines the physically correct ''secular'' evolutionary track for the system; while, an analysis of the free energy variations about an equilibrium state will answer the question of ''dynamical'' stability.

====Quantitative Study====
The preceding philosophical statements not withstanding, it is still worth understanding the relationship &#8212; if any &#8212; between the pair of models that are identified by the "second crossing" of the Stahler sequence by the "Virial" curve.

<div align="center" id="SecondaryOverlap">
<table border="1" cellpadding="8" align="center">
<tr>
  <td align="center" colspan="6">
More Information on Secondary Overlap Points
  </td>
</tr>
<tr>
  <td align="center" colspan="2">From [[User:Tohline/SSC/Virial/PolytropesEmbedded/SecondEffortAgain#OverlapPlots|above table]]</td>
  <td align="center" colspan="4">Determined here</td>
</tr>
<tr>
  <td align="center">
<math>~\mathcal{X} \equiv \frac{R_\mathrm{eq}}{R_\mathrm{SWS}}</math>
  </td>
  <td align="center">
<math>~\mathcal{Y} \equiv \frac{M_\mathrm{limit}}{M_\mathrm{SWS}}</math>
  </td>
  <td align="center">
<math>~\tilde\xi_-</math>
  </td>
  <td align="center">
<math>~\mathcal{Y}_-</math>
  </td>
  <td align="center">
<math>~\mathcal{A}_{M_\ell}</math>
  </td>
  <td align="center">
<math>~\mathcal{B}_{M_\ell}</math>
  </td>
</tr>
<tr>
<td align="center">
0.388938
</td>
<td align="center">
0.289568
</td>
  <td align="center">
0.72447
  </td>
<td align="center">
0.289568
</td>
  <td align="center">
0.20491
  </td>
  <td align="center">
0.75191
  </td>
</tr>

<tr>
<td align="center">
0.468918
</td>
<td align="center">
0.570916
</td>
  <td align="center">
0.98268
  </td>
<td align="center">
0.570916
</td>
  <td align="center">
0.20889
  </td>
  <td align="center">
0.75395
  </td>
</tr>

<tr>
<td align="center">
0.507387
</td>
<td align="center">
0.798441
</td>
<td align="center">
1.17380
</td>
<td align="center">
0.798441
</td>
<td align="center">
0.21252
</td>
<td align="center">
0.75652
</td>
</tr>

<tr>
<td align="center">
0.515168
</td>
<td align="center">
0.859518
</td>
<td align="center">
1.22572
</td>
<td align="center">
0.859520
</td>
<td align="center">
0.21360
</td>
<td align="center">
0.75740
</td>
</tr>

<tr>
<td align="center">
0.518588
</td>
<td align="center">
0.888969
</td>
<td align="center">
1.25104
</td>
<td align="center">
0.888968
</td>
<td align="center">
0.21414
</td>
<td align="center">
0.75785
</td>
</tr>

<tr>
<td align="center" bgcolor="yellow">
0.520269
</td>
<td align="center" bgcolor="yellow">
0.904143
</td>
<td align="center">
1.26419
</td>
<td align="center">
0.904142
</td>
<td align="center">
0.21443
</td>
<td align="center">
0.75810
</td>
</tr>

</table>
</div>


====Marginal Stability====
As mentioned above, it is widely appreciated that the model having the largest mass &#8212; that is, the model that sits at <math>~\mathcal{Y}_\mathrm{max}</math> &#8212; along the Stahler sequence is of considerable astrophysical significance.  Viewed in terms of a cloud's secular evolution, counter-clockwise along the sequence, something rather catastrophic must happen once the cloud acquires the mass associated with <math>~\mathcal{Y}_\mathrm{max}</math>, because no equilibrium structure is available to the cloud if it gains any additional mass.  It is tempting to associate this point along the Stahler sequence with a dynamical instability, imagining for example that the cloud will begin to dynamically collapse once it reaches this <math>~\mathcal{Y}_\mathrm{max}</math> configuration.  But the "detailed force-balance" technique that is used to define the structure of equilibrium models along the Stahler sequence does not give us any insight regarding a configuration's dynamical stability. 

Our free-energy analysis ''does'' provide this additional insight.  The mass-radius relationship derived from the scalar virial theorem &#8212; which, itself, was derived via a free-energy analysis &#8212; is qualitatively similar to the mass-radius relationship defined (from a detailed force-balance analysis) by the Stahler sequence; in particular, it also exhibits an upper mass limit.  And our free-energy analysis reveals that this "maximum mass" point associated with the virial theorem separates dynamically stable from dynamically unstable models along the sequence.  This realization fuels the temptation just mentioned; that is, it seems to support the idea that the configuration at <math>~\mathcal{Y}_\mathrm{max}</math> along Stahler's sequence is associated with the onset of a dynamical instability along the sequence.  But this is not the case!  Our free-energy analysis has also shown that, when the structural form-factors &#8212; and, most specifically, the coefficients <math>~\mathcal{A}_{M_\ell}</math> and <math>~\mathcal{B}_{M_\ell}</math> &#8212; are assigned the values appropriate to  the configuration at <math>~\mathcal{Y}_\mathrm{max}</math> along Stahler's sequence, the point of maximum mass associated with the corresponding expression for the virial theorem does not coincide with the configuration at <math>~\mathcal{Y}_\mathrm{max}</math>.  The configuration at <math>~\mathcal{Y} = \mathcal{Y}_\mathrm{max} =  1.774078</math> (also identified as the model having <math>~\tilde\xi = 3.0</math>) is found to be dynamically stable.  Both of these realizations are illustrated graphically in the [[User:Tohline/SSC/Virial/PolytropesEmbedded/SecondEffortAgain#GraphicalDepictionXi3|above figure]].


Our analysis has shown, instead, that the marginally unstable configuration appears farther along the Stahler sequence when moving in a counter-clockwise direction.  It corresponds to the model having <math>~\tilde\xi = 3.850652</math> instead of <math>~\tilde\xi = 3.0</math>.   While this can be illustrated graphically &#8212; for example, by carefully analyzing and comparing the bottom-center panel with the top-right panel in the [[User:Tohline/SSC/Virial/PolytropesEmbedded/SecondEffortAgain#OverlapPlots|above figure ensemble]] &#8212; an algebraic demonstration is more definitive.  [[User:Tohline/SSC/Virial/PolytropesEmbeddedOutline#Stability_4|Our stability analysis has shown]] that, for any pressure-truncated polytropic configuration, the equilibrium structure associated with the point of marginal instability has,
<div align="center">
<table border="0" cellpadding="5">
<tr>
  <td align="right">
<math>~\biggl( \frac{\mathcal{Y}}{\mathcal{X}^2}\biggr)_\mathrm{crit} </math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~
\biggl[ \frac{4\pi n}{\mathcal{A}_{M_\ell}(n-3)}\biggr]^{1/2} 
\, .
</math>
  </td>
</tr>

</table>
</div>
For <math>~n=5</math> configurations, this means that the critical model along the equilibrium sequence will have,
<div align="center">
<table border="0" cellpadding="5">
<tr>
  <td align="right">
<math>~\mathcal{X}_\mathrm{crit}^4 </math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~
\biggl[ \frac{\mathcal{A}_{M_\ell}}{10\pi }\biggr] \mathcal{Y}_\mathrm{crit}^2
\, .
</math>
  </td>
</tr>

</table>
</div>
But all configurations along Stahler's equilibrium sequence must also obey the [[User:Tohline/SSC/Structure/PolytropesEmbedded#Tabular_Summary_.28n.3D5.29|mass-radius relationship]],
<div align="center">
<table border="0" cellpadding="5">
<tr>
  <td align="right">
<math>~\mathcal{Y}^2 - 5\mathcal{Y}\mathcal{X} + \frac{20\pi}{3} \mathcal{X}^4</math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~
0
\, .
</math>
  </td>
</tr>

</table>
</div>
Combining these two requirements means,
<div align="center">
<table border="0" cellpadding="5">
<tr>
  <td align="right">
<math>~\mathcal{Y}_\mathrm{crit}^2 - 5(\mathcal{Y}\mathcal{X})_\mathrm{crit} + \biggl( \frac{2\mathcal{A}_{M_\ell}}{3}\biggr) \mathcal{Y}_\mathrm{crit}^2</math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~
0
</math>
  </td>
</tr>

<tr>
  <td align="right">
<math>~\Rightarrow ~~~~\mathcal{Y}_\mathrm{crit}^2 \biggl[ 1 + \frac{2}{3}\cdot \mathcal{A}_{M_\ell} \biggr] </math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~
5(\mathcal{Y}\mathcal{X})_\mathrm{crit} 
</math>
  </td>
</tr>

<tr>
  <td align="right">
<math>~\Rightarrow ~~~~\frac{ \mathcal{X}_\mathrm{crit} }{ \mathcal{Y}_\mathrm{crit} }</math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~
\frac{1}{5}\biggl[ 1 + \frac{2}{3}\cdot \mathcal{A}_{M_\ell} \biggr]  \, .
</math>
  </td>
</tr>
</table>
</div>
Now, taking into detailed account the internal structure of pressure-truncated, <math>~n=5</math> polytropic structures as represented in [[User:Tohline/SSC/Structure/PolytropesEmbedded#Tabular_Summary_.28n.3D5.29|our summary table of Stahler's equilibrium configurations]], we know that, along Stahler's entire sequence,
<div align="center">
<table border="0" cellpadding="5">
<tr>
  <td align="right">
<math>~\frac{ \mathcal{X} }{ \mathcal{Y} }</math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~\biggl\{ \biggl( \frac{3\cdot 5}{2^2 \pi} \biggr) \frac{\ell^2}{(1+\ell^2)^{2}}   \cdot
\biggl( \frac{2^2\pi}{3 \cdot 5^3} \biggr) \frac{(1+\ell^2)^{4}}{(\ell^2)^3} 
\biggr\}^{1/2}
</math>
  </td>
</tr>

<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~\frac{1 + \ell^2}{5\ell^2}
\, ,
</math>
  </td>
</tr>

</table>
</div>
where we have again adopted the shorthand notation,
<div align="center">
<math>~\ell^2 \equiv \frac{\tilde\xi^2}{3} \, .</math>
</div>

We conclude, therefore, that in the marginally unstable model along the Stahler equilibrium sequence,
<div align="center">
<table border="0" cellpadding="5">
<tr>
  <td align="right">
<math>~1 + \frac{2}{3}\cdot (\mathcal{A}_{M_\ell})_\mathrm{crit}</math>
  </td>
  <td align="center">
<math>~=</math>
  <td align="left">
<math>~\frac{1 + \ell_\mathrm{crit}^2}{\ell_\mathrm{crit}^2}
</math>
  </td>
</tr>

<tr>
  <td align="right">
<math>~\Rightarrow ~~~~~(\mathcal{A}_{M_\ell})_\mathrm{crit} </math>
  </td>
  <td align="center">
<math>~=</math>
  <td align="left">
<math>~\frac{3}{2} \cdot \ell_\mathrm{crit}^{-2} \, .
</math>
  </td>
</tr>

</table>
</div>
Given that the [[User:Tohline/SSC/Virial/PolytropesEmbedded/SecondEffortAgain#Plotting_the_Virial_Theorem_Relation|general expression for]] <math>~\mathcal{A}_{M_\ell}</math> along the Stahler sequence is,
<div align="center">
<table border="0" cellpadding="5">
<tr>
  <td align="right">
<math>~\mathcal{A}_{M_\ell} </math>
  </td>
  <td align="center">
<math>~=</math>
  <td align="left">
<math>~\frac{1}{2^4} 
\biggl[ \ell^{-4} \biggl( \ell^4 - \frac{8}{3}\ell^2 - 1 \biggr) + \ell^{-5}  (1 + \ell^2)^{3} \tan^{-1}(\ell ) \biggr] \, ,
</math>
  </td>
</tr>

</table>
</div>
we deduce that,
<div align="center">
<math>~\ell_\mathrm{crit} = 2.2231751 </math> 
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
or, equivalently,
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
<math>~\tilde\xi_\mathrm{crit} = 3.850652 \, .</math>
</div>
Hence, also,
<div align="center">
<math>~( \mathcal{X}_\mathrm{crit},  \mathcal{Y}_\mathrm{crit} ) = ( 0.408738, 1.699778 ) \, . </math> 
</div>

===Part III===
From our above, detailed analysis of the mass-radius relation for pressure-truncated polytropes, we concluded that configurations along "Stahler's" equilibrium sequence become dynamically unstable at a point that does not coincide with the maximum-mass configuration.  Instead, the onset of dynamical instability is associated with the critical point on the mass-radius relation that arises from the free-energy-based virial theorem.  In drawing this conclusion, we have implicitly assumed that the proper way to analyze an equilibrium configuration's stability is to vary its radius while, not only holding its mass, specific entropy, and surface pressure <math>~(P_e)</math> constant, but also assuming that the configuration's structural form factors are invariable.  


This seems like a reasonable assumption, given that we're asking how a configuration's characteristics will vary ''dynamically'' when perturbed about an equilibrium state.  While oscillating about an equilibrium state, it seems more reasonable to assume that the system will expand and contract in a nearly homologous fashion than that its internal structure will readily readjust to produce a different ''and'' desirable set of form factors.  In support of this argument, we point to the paper by [http://adsabs.harvard.edu/abs/1980ApJ...238..991G Goldreich &amp; Weber (1980)] which explicitly derives a self-similar solution for the ''homologous'' collapse of stellar cores that can be modeled as <math>~n=3</math> polytropes; an associated [[User:Tohline/Apps/GoldreichWeber80#Homologously_Collapsing_Stellar_Cores|chapter of this H_Book details the Goldreich &amp; Weber derivation]].  Goldreich &amp; Weber use [[User:Tohline/SSC/Perturbations#Spherically_Symmetric_Configurations_.28Stability_.E2.80.94_Part_II.29|linear perturbation techniques]] to analyze the stability of their homologously collapsing configurations.  In &sect;IV of their paper, they describe the eigenvalues and eigenfunctions that result from this analysis.  They discovered, for example, that "the lowest radial mode can be found analytically ... [and it] corresponds to a homologous perturbation of the entire core."  Our assumption that the structural form factors remain constant when pressure-truncated polytropic configurations undergo radial size variations therefore appears not to be unreasonable.  (Based on the Goldreich &amp; Weber discussion, we should also look at the published work of [http://adsabs.harvard.edu/abs/1941ApJ....94..245S Schwarzschild (1941, ApJ, 94, 245)], who has evaluated radial modes, and of [http://adsabs.harvard.edu/abs/1941MNRAS.101..367C Cowling (1941, MNRAS, 101, 367)], who has obtained eigenvalues of some low-order nonradial modes.)


In addition, it would seem that a certain amount of dissipation would be required for the system to readjust to new structural form factors.  In order to test this underlying assumption, following [http://adsabs.harvard.edu/abs/1980ApJ...238..991G Goldreich &amp; Weber (1980)], it would be desirable to carry out a full-blown perturbation analysis that involves looking for, for example, the eigenvector associated with the system's fundamental radial mode of pulsation.  Ideally, we should be using the structural form factors associated with this pulsation-mode eigenfunction in our free-energy analysis of stability.  Better yet, the ''sign'' of the eigenfrequency associated with the system's pulsation-mode eigenvector should signal whether the system is dynamically stable or unstable.


{{LSU_WorkInProgress}}

==Other Model Sequences==
===Relating and Reconciling Two Mass-Radius Relationships for n = 4 Polytropes===

For pressure-truncated <math>~n=4</math> polytropes, [http://adsabs.harvard.edu/abs/1983ApJ...268..165S Stahler (1983)] did not identify a polynomial relationship between the mass and radius of equilibrium configurations.  However, from his analysis of detailed force-balance models ([[User:Tohline/SSC/Virial/PolytropesSummary#Detailed_Force-Balanced_Solution_2|summarized above]]), we appreciate that the governing pair of parametric relations is,
<div align="center">
<table border="0" cellpadding="3">

<tr>
  <td align="right">
<math>
~\mathcal{X}
</math>
  </td>
  <td align="center">
<math>~=~</math>
  </td>
  <td align="left">
<math>
\biggl( \frac{1}{\pi} \biggr)^{1/2} \tilde\xi \tilde\theta^{3/2} \, ,
</math>
  </td>
</tr>

<tr>
  <td align="right">
<math>
~\mathcal{Y}
</math>
  </td>
  <td align="center">
<math>~=~</math>
  </td>
  <td align="left">
<math>
\biggl( \frac{2^4}{\pi} \biggr)^{1/2} \tilde\theta^{1/2} (- \tilde\xi^2 \tilde\theta^') \, .
</math>
  </td>
</tr>
</table>
</div>
On the other hand, the polynomial that results from plugging <math>~n=4</math> into the [[User:Tohline/SSC/Virial/PolytropesSummary#ConciseVirialXY|general mass-radius relation that is obtained via the virial theorem]] is,

<div align="center">
<math>
\frac{4\pi}{3} \mathcal{X}^4   - \biggl[ \frac{\mathcal{X} \mathcal{Y}^{5}}{4\pi}\biggr]^{1/4} \mathfrak{b}_{n=4} + \frac{5}{4} \mathcal{Y}^2 
= 0 \, ,
</math>
</div>
where,
<div align="center">
<math>\mathfrak{b}_{n=4} = \biggl[ 5 (-\tilde\theta^')^2 + \frac{1}{3} \tilde\theta^{5} \biggr]
\biggl( \frac{\tilde\xi}{-\tilde\theta^'} \biggr)^{5/4} \, .
</math>
</div>

[For the record we note that, throughout the structure of an <math>~n=4</math> polytrope, <math>~\mathfrak{b}_{n=4}</math> is a number of order unity.  Its value is never less than <math>~3^{1/4}</math>, which pertains to the center of the configuration; its maximum value of <math>\approx 5.098</math> occurs at <math>~\tilde\xi \approx 4.0</math>; and <math>~\mathfrak{b}_{n=4} \approx 3.946</math> at its (zero pressure) surface, <math>~\tilde\xi = \xi_1 \approx 14.97</math>.  A plot showing the variation with <math>~P_e</math> of the closely allied parameter, <math>~\mathcal{B}|_{n=4} = (4\pi)^{1/4} \mathfrak{b}_{n=4}</math> is presented in the righthand panel of the [[User:Tohline/SSC/Virial/PolytropesSummary#Summary|above parameter summary figure]].]

In both panels of the following figure, the blue curve displays the mass-radius relation for pressure-truncated <math>~n=4</math> polytropes, <math>~\mathcal{Y}(\mathcal{X})</math>, that is generated by Stahler's pair of parametric equations.  The coordinates of discrete points along the curve have been determined from the tabular data provided on p. 399 of [http://adsabs.harvard.edu/abs/1986Ap%26SS.126..357H Horedt (1986, ApJS, vol. 126)]] while Excel has been used to generate the "smooth," continuous blue curve connecting the points; this set of points and accompanying blue curve are identical in both figure panels.  In both figure panels, a set of discrete, triangle-shaped points traces the mass-radius relation, <math>~\mathcal{Y}(\mathcal{X})</math>, that is obtained via the virial theorem, assuming that the coefficient, <math>~\mathfrak{b}_{n=4}</math>, is constant along the sequence.  The "green" sequence in the lefthand panel results from setting <math>~\mathfrak{b}_{n=4} = 3.4205</math>, which is the value of the constant that results from Horedt's tabulated data if the configuration is truncated at <math>~\tilde\xi = 1.4</math>; the "orange" sequence in the righthand panel results from setting <math>~\mathfrak{b}_{n=4} = 4.8926</math>, which is the value of the constant that results from Horedt's tabulated data if the configuration is truncated at <math>~\tilde\xi = 2.8</math>. 

<table border="1" cellpadding="8" align="center">
<tr>
  <th align="center">
Comparing Two Separate Mass-Radius Relations for Pressure-Truncated ''n = 4'' Polytropes
  </th>
</tr>
<tr><td align="center">
[[File:CompareN4SequencesRevised.png|750px|Comparison of Two Mass-Radius Relations]]
</td></tr>
</table>

According to [http://adsabs.harvard.edu/abs/1986Ap%26SS.126..357H Horedt's (1986)]] tabulated data, the surface of an isolated <math>~(P_e = 0)</math>, spherically symmetric, <math>~n=4</math> polytrope occurs at the dimensionless (Lane-Emden) radius, <math>~\xi_1 = 14.9715463</math>.  In both panels of the above figure, this ''isolated'' configuration is identified by the discrete (blue diamond) point at the origin, that is, at <math>~(\mathcal{X}, \mathcal{Y}) = (0, 0)</math>.   As we begin to examine pressure-truncated models and <math>~\tilde\xi</math> is steadily decreased from <math>~\xi_1</math>, the mass-radius coordinate of equilibrium configurations "moves" away from the origin, upward along the upper branch of the displayed (blue) mass-radius relation.  A maximum mass of <math>~\mathcal{Y} \approx 2.042</math> (corresponding to a radius of <math>~\mathcal{X} \approx 0.4585</math>) is reached ''from the left'' as <math>~\tilde\xi</math> drops to a value of approximately <math>~3.4</math>.  As <math>~\tilde\xi</math> continues to decrease, the mass-radius coordinates of equilibrium configurations move along the lower branch of the displayed (blue) curve, reaching a maximum radius at <math>~(\mathcal{X}, \mathcal{Y}) \approx (0.555, 1.554)</math> &#8212; corresponding to <math>~\tilde\xi \approx 2.0</math> &#8212; then decreasing in radius until, once again, the origin is reached, but this time because <math>~\tilde\xi</math> drops to zero.


If we set <math>~\mathfrak{b}_{n=4} = 3.4205</math> (corresponding to a choice of <math>~\tilde\xi = 1.4</math>), the virial theorem mass-radius relation maps onto the "Stahler" mass-radius coordinate plane as depicted by the set of green, triangle-shaped points in the lefthand panel of the above figure.  While the (green) curve corresponding to this relation does not overlay the blue mass-radius relation, the two curves do intersect.  They intersect precisely at the coordinate location along the blue curve (emphasized by the black filled circle) corresponding to a detailed force-balanced model having <math>~\tilde\xi = 1.4</math>.    In an analogous fashion, in the righthand panel of the figure, the curve delineated by the set of orange triangle-shaped points shows how the virial theorem mass-radius relation maps onto the "Stahler" mass-radius coordinate plane when we set <math>~\mathfrak{b}_{n=4} = 4.8926</math> (corresponding to a choice of <math>~\tilde\xi = 2.8</math>); it intersects the blue mass-radius relation precisely at the coordinate location, <math>~(\mathcal{X}, \mathcal{Y}) \approx (0.5108, 1.965)</math> &#8212; again, emphasized by a black filled circle &#8212; that corresponds to a detailed force-balanced model having <math>~\tilde\xi = 2.8</math>.  Hence, the two relations give the same mass-radius coordinates when the value of <math>~\mathfrak{b}_{n=4}</math> that is plugged into the virial theorem matches the value of <math>~\mathfrak{b}_{n=4}</math> that reflects the structural form factor that is properly associated with a detailed force-balanced model.


When we mapped the virial theorem mass-radius relation onto Stahler's mass-radius coordinate plane using a value of <math>~\mathfrak{b}_{n=4} = 4.8926</math> (as traced by the orange triangle-shaped points in the righthand panel of the above figure), we expected it to intersect the blue curve at the point along the blue sequence where <math>~\tilde\xi = 2.8</math>, for the reason just discussed.  After constructing the plot, it became clear that the two curves also intersect at the coordinate location, <math>~(\mathcal{X}, \mathcal{Y}) \approx (0.255, 1.67)</math> &#8212; also highlighted by a black filled circle &#8212; that corresponds to a detailed force-balanced model having <math>~\tilde\xi \approx 6.0</math>.  This makes it clear that it is the equality of the structural form factors, not the equality of the dimensionless (Lane-Emden) radius, <math>~\tilde\xi</math>, that assures precise agreement between the two different mass-radius expressions.


As is detailed in our [[User:Tohline/SSC/Virial/PolytropesSummary#Stability|above discussion of the dynamical stability of pressure-truncated polytropes]], an examination of free-energy variations can not only assist us in identifying the properties of equilibrium configurations (via a free-energy derivation of the virial theorem) but also in determining which of these configurations are dynamically stable and which are dynamically unstable.  We showed that, for a certain range of polytropic indexes, there is a critical point along the corresponding model sequence where the transition from stability to instability occurs.  As has been detailed in our [[User:Tohline/SSC/Virial/PolytropesSummary#Try_Polytropic_Index_of_4|above groundwork derivations]], for <math>~n = 4</math> polytropic structures, the critical point is identified by the dimensionless parameters,
<div align="center">
<table border="0" cellpadding="5" align="center">

<tr>
  <td align="center">
<math>\eta_\mathrm{crit}\biggr|_{n=4}~=~\frac{1}{15} \, ;</math>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
<math>\Pi_\mathrm{max}\biggr|_{n=4}~=~\frac{15^{15}}{16^{16}} \, ;</math>
&nbsp;&nbsp;&nbsp;&nbsp; and &nbsp;&nbsp;&nbsp;&nbsp;
<math>\Chi_\mathrm{min}\biggr|_{n=4}~=~\biggl( \frac{16}{15} \biggr)^4 \, .</math>
  </td>
</tr>
</table>
</div>
In the context of the above figure, independent of the chosen value of <math>~\mathfrak{b}_{n=4}</math>, this critical point always corresponds to the maximum mass that occurs along the mass-radius relationship established via the virial theorem.  In both panels of the figure, a horizontal red-dotted line has been drawn tangent to this critical point and identifies the corresponding critical value of <math>~\mathcal{Y}</math>; a vertical red-dashed line drawn through this same point helps identify the corresponding critical value of <math>~\mathcal{X}</math>.  We have deduced (details of the derivation not shown) that, for pressure-truncated <math>~n=4</math> polytropes, the coordinates of this critical point in Stahler's <math>~\mathcal{X}-\mathcal{Y}</math> plane depends on the choice of <math>~\mathfrak{b}_{n=4}</math> as follows:
<div align="center">
<table border="0" cellpadding="5" align="center">

<tr>
  <td align="right">
<math>~\mathcal{X}_\mathrm{crit}</math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~\pi^{-1/2} 2^{-16/5} (3\mathfrak{b}_{n=4})^{4/5} \, ,</math>
  </td>
</tr>

<tr>
  <td align="right">
<math>~\mathcal{Y}_\mathrm{crit}</math>
  </td>
  <td align="center">
<math>~=</math>
  </td>
  <td align="left">
<math>~\pi^{-1/2} 2^{-22/5} (3\mathfrak{b}_{n=4})^{8/5} \, .</math>
  </td>
</tr>
</table>
</div>

In practice, for a given plot of the type displayed in the above figure &#8212; that is, for a given choice of the structural parameter, <math>\mathfrak{b}_{n=4}</math> &#8212; it only makes sense to compare the location of this critical point to the location of points that have been highlighted by a filled black circle, that is, points that identify the intersection between the two mass-radius relations.  If, in a given figure panel, a filled black circle lies to the right of the vertical dashed line, the equilibrium configuration corresponding to that black circle is dynamically stable.  On the other hand, if the filled black circle lies to the left of the vertical dashed line, its corresponding equilibrium configuration is dynamically unstable.  We conclude, therefore, that the equilibrium configuration marked by a filled black circle in the lefthand panel of the above figure is ''stable''; however, both configurations identified by filled black circles in the righthand panel are ''unstable''.

It is significant that the critical point identified by our free-energy-based stability analysis does not correspond to the equilibrium configuration having the largest mass along "Stahler's" (blue) equilibrium model sequence.  One might naively expect that a configuration of maximum mass along the blue curve is the relevant demarcation point and that, correspondingly, all models along this sequence that fall "to the right" of this maximum-mass point are stable.  But the righthand panel of our above figure contradicts this expectation.  While both of the black filled circles in the righthand panel of the above figure lie to the left of the vertical dashed line and therefore, as just concluded, are both unstable, one of the two configurations lies ''to the right'' of the maximum-mass point along the blue "Stahler" sequence.  This finding is related to [[User:Tohline/SSC/Virial/PolytropesSummary#Curiosity|the curiosity raised earlier]] in our discussion of the structural properties of pressure-truncated, <math>~n=4</math> polytropes.

===Relating and Reconciling Two Mass-Radius Relationships for n = 3 Polytropes===

For pressure-truncated <math>~n=3</math> polytropes, [http://adsabs.harvard.edu/abs/1983ApJ...268..165S Stahler (1983)] did not identify a polynomial relationship between the mass and radius of equilibrium configurations.  However, from his analysis of detailed force-balance models ([[User:Tohline/SSC/Virial/PolytropesSummary#Detailed_Force-Balanced_Solution_2|summarized above]]), we appreciate that the governing pair of parametric relations is,
<div align="center">
<table border="0" cellpadding="3">

<tr>
  <td align="right">
<math>
~\mathcal{X}
</math>
  </td>
  <td align="center">
<math>~=~</math>
  </td>
  <td align="left">
<math>
\biggl( \frac{3}{4\pi} \biggr)^{1/2} \tilde\xi \tilde\theta \, ,
</math>
  </td>
</tr>

<tr>
  <td align="right">
<math>
~\mathcal{Y}
</math>
  </td>
  <td align="center">
<math>~=~</math>
  </td>
  <td align="left">
<math>
\biggl( \frac{3^3}{4\pi} \biggr)^{1/2} (- \tilde\xi^2 \tilde\theta^') \, .
</math>
  </td>
</tr>
</table>
</div>
On the other hand, the polynomial that results from plugging <math>~n=3</math> into the [[User:Tohline/SSC/Virial/PolytropesSummary#ConciseVirialXY|general mass-radius relation that is obtained via the virial theorem]] is,

<div align="center">
<math>
\frac{2^3 \pi}{3} \mathcal{X}^4   - \biggl[ \frac{\mathcal{Y}^{4}}{4\pi}\biggr]^{1/3} \mathfrak{b}_{n=3} + \frac{4}{3} \mathcal{Y}^2 
= 0 \, ,
</math>
</div>
where,
<div align="center">
<math>\mathfrak{b}_{n=3} = \biggl[ 4 (-\tilde\theta^')^2 + \frac{2}{3} \tilde\theta^{4} \biggr]
\biggl( \frac{\tilde\xi}{-\tilde\theta^'} \biggr)^{4/3} \, .
</math>
</div>

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