SSC/Structure/BiPolytropes/51RenormaizePart3: Difference between revisions

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=
=
\biggl[ \biggl( \frac{K_e}{K_c} \biggr)^{-5 / 4} \biggl( \frac{\mu_e}{\mu_c} \biggr)^{-5 / 2} \theta^{-5}_i \biggr]
\biggl[ \biggl( \frac{K_e}{K_c} \biggr)^{-5 / 4} \biggl( \frac{\mu_e}{\mu_c} \biggr)^{-5 / 2} \theta^{-5}_i \biggr]
=
\rho_\mathrm{norm}\biggl[ \biggl( \frac{\mu_e}{\mu_c} \biggr)^{-5 / 2} \theta^{-5}_i \biggr]
\, .
\, .
</math>
</math>
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</tr>
</tr>
</table>
</table>
<!--  BEGIN Alternate01 -->
<table border="1" align="center" width="80%" cellpadding="5"><tr><td align="left">
<div align="left">Alternate01</div>
<table border="0" align="center" cellpadding="8">
<tr>
  <td align="right">
<math>\biggl( \frac{K_e}{K_c} \biggr)\biggl( \frac{\mu_e}{\mu_c} \biggr)^{m} </math>
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>\rho_0^{-4/5}\biggl( \frac{\mu_e}{\mu_c} \biggr)^{m-2} \theta^{-4}_i</math>
  </td>
</tr>
<tr>
  <td align="right">
<math>\Rightarrow ~~~ \biggl[ \biggl( \frac{K_e}{K_c} \biggr)\biggl( \frac{\mu_e}{\mu_c} \biggr)^{m}\biggr]^{5 / 4} </math>
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>\rho_0^{-1}\biggl( \frac{\mu_e}{\mu_c} \biggr)^{5(m-2)/4} \theta^{-5}_i</math>
  </td>
</tr>
<tr>
  <td align="right">
<math>\Rightarrow ~~~ \rho_0 </math>
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>
\underbrace{\biggl[ \biggl( \frac{K_e}{K_c} \biggr)\biggl( \frac{\mu_e}{\mu_c} \biggr)^{m}\biggr]^{- 5 / 4}}_{\rho_\mathrm{alt}}
\biggl( \frac{\mu_e}{\mu_c} \biggr)^{5(m-2)/4} \theta^{-5}_i
</math>
  </td>
</tr>
</table>
<font color="red"><b>ABANDONED</b></font>
</td></tr></table>
<!-- END alternate01 -->
Hence, throughout the core, we have,
Hence, throughout the core, we have,


Line 349: Line 400:
   </td>
   </td>
   <td align="left">
   <td align="left">
<math>\biggl[ \biggl( \frac{K_e}{K_c} \biggr)^{-5 / 4} \biggl( \frac{\mu_e}{\mu_c} \biggr)^{-5 / 2} \theta^{-5}_i \biggr]
<math>
\rho_\mathrm{norm} \biggl[ \biggl( \frac{\mu_e}{\mu_c} \biggr)^{-5 / 2} \theta^{-5}_i \biggr]
\biggl( 1 + \frac{1}{3}\xi^2 \biggr)^{-5/2}</math>
\biggl( 1 + \frac{1}{3}\xi^2 \biggr)^{-5/2}</math>
   </td>
   </td>
Line 370: Line 422:
<math>K_c \biggl[ \biggl( \frac{K_e}{K_c} \biggr)^{-5 / 4} \biggl( \frac{\mu_e}{\mu_c} \biggr)^{-5 / 2} \theta^{-5}_i \biggr]
<math>K_c \biggl[ \biggl( \frac{K_e}{K_c} \biggr)^{-5 / 4} \biggl( \frac{\mu_e}{\mu_c} \biggr)^{-5 / 2} \theta^{-5}_i \biggr]
^{6/5} \biggl( 1 + \frac{1}{3}\xi^2 \biggr)^{-3}</math>
^{6/5} \biggl( 1 + \frac{1}{3}\xi^2 \biggr)^{-3}</math>
  </td>
</tr>
<tr>
  <td align="right" colspan="3">
&nbsp;
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>
K_c \biggl[ \biggl( \frac{K_e}{K_c} \biggr)^{-3 / 2}
\biggl( \frac{\mu_e}{\mu_c} \biggr)^{-3 } \theta^{-6}_i \biggr]\biggl( 1 + \frac{1}{3}\xi^2 \biggr)^{-3}
=
P_\mathrm{norm}\biggl[ 
\biggl( \frac{\mu_e}{\mu_c} \biggr)^{-3 } \theta^{-6}_i \biggr]\biggl( 1 + \frac{1}{3}\xi^2 \biggr)^{-3}
</math>
   </td>
   </td>
</tr>
</tr>
Line 390: Line 460:
\biggl[ \biggl( \frac{K_e}{K_c} \biggr)^{-5 / 4} \biggl( \frac{\mu_e}{\mu_c} \biggr)^{-5 / 2} \theta^{-5}_i \biggr]^{- 2 / 5}
\biggl[ \biggl( \frac{K_e}{K_c} \biggr)^{-5 / 4} \biggl( \frac{\mu_e}{\mu_c} \biggr)^{-5 / 2} \theta^{-5}_i \biggr]^{- 2 / 5}
\biggl(\frac{3}{2\pi}\biggr)^{1/2} \xi</math>
\biggl(\frac{3}{2\pi}\biggr)^{1/2} \xi</math>
  </td>
</tr>
<tr>
  <td align="right" colspan="3">
&nbsp;
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>
\biggl[ \frac{K_c}{G} \biggr]^{1/2}
\biggl[ \biggl( \frac{K_e}{K_c} \biggr)^{1 / 2} \biggl( \frac{\mu_e}{\mu_c} \biggr) \theta^{2}_i \biggr]
\biggl(\frac{3}{2\pi}\biggr)^{1/2} \xi
=
r_\mathrm{norm}
\biggl[ \biggl( \frac{\mu_e}{\mu_c} \biggr) \theta^{2}_i \biggr]
\biggl(\frac{3}{2\pi}\biggr)^{1/2} \xi
</math>
   </td>
   </td>
</tr>
</tr>
Line 407: Line 497:
   </td>
   </td>
   <td align="left">
   <td align="left">
<math>\biggl[ \frac{K_c^3}{G^3 \rho_0^{2/5} } \biggr]^{1 / 2}  
<math>\biggl[ \frac{K_c^3}{G^3 } \biggr]^{1 / 2}  
\biggl[ \biggl( \frac{K_e}{K_c} \biggr)^{-5 / 4} \biggl( \frac{\mu_e}{\mu_c} \biggr)^{-5 / 2} \theta^{-5}_i \biggr]^{-1 / 5}
\biggl[ \biggl( \frac{K_e}{K_c} \biggr)^{-5 / 4} \biggl( \frac{\mu_e}{\mu_c} \biggr)^{-5 / 2} \theta^{-5}_i \biggr]^{-1 / 5}
\biggl( \frac{2\cdot 3}{\pi } \biggr)^{1 / 2} \biggl[ \xi^3 \biggl( 1 + \frac{1}{3}\xi^2 \biggr)^{-3/2} \biggr]</math>
\biggl( \frac{2\cdot 3}{\pi } \biggr)^{1 / 2} \biggl[ \xi^3 \biggl( 1 + \frac{1}{3}\xi^2 \biggr)^{-3/2} \biggr]</math>
  </td>
</tr>
<tr>
  <td align="right" colspan="3">
&nbsp;
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>\biggl[ \frac{K_c^3}{G^3} \biggr]^{1 / 2}
\biggl[ \biggl( \frac{K_e}{K_c} \biggr)^{1 / 4} \biggl( \frac{\mu_e}{\mu_c} \biggr)^{1 / 2} \theta_i \biggr]
\biggl( \frac{2\cdot 3}{\pi } \biggr)^{1 / 2} \biggl[ \xi^3 \biggl( 1 + \frac{1}{3}\xi^2 \biggr)^{-3/2} \biggr]</math>
  </td>
</tr>
<tr>
  <td align="right" colspan="3">
&nbsp;
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>M_\mathrm{norm}
\biggl[ \biggl( \frac{\mu_e}{\mu_c} \biggr)^{1 / 2} \theta_i \biggr]
\biggl( \frac{2\cdot 3}{\pi } \biggr)^{1 / 2} \biggl[ \xi^3 \biggl( 1 + \frac{1}{3}\xi^2 \biggr)^{-3/2} \biggr]</math>
  </td>
</tr>
</table>
And, throughout the envelope &hellip;
<table border="0" cellpadding="3" align="center">
<tr>
  <td align="right">
<math>\rho</math>
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>\rho_0 \biggl( \frac{\mu_e}{\mu_c} \biggr) \theta^{5}_i \phi</math>
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>
\biggl[ \biggl( \frac{K_e}{K_c} \biggr)^{-5 / 4} \biggl( \frac{\mu_e}{\mu_c} \biggr)^{-5 / 2} \theta^{-5}_i \biggr]
\biggl( \frac{\mu_e}{\mu_c} \biggr) \theta^{5}_i \phi
</math>
  </td>
</tr>
<tr>
  <td align="right" colspan="3">
&nbsp;
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>
\rho_\mathrm{norm} \biggl[ \biggl( \frac{\mu_e}{\mu_c} \biggr)^{-3 / 2} \biggr]\phi
</math>
  </td>
</tr>
<tr>
  <td align="right">
<math>P</math>
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>K_c \rho_0^{6/5}  \theta^{6}_i \phi^{2}</math>
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>K_c \biggl[ \biggl( \frac{K_e}{K_c} \biggr)^{-5 / 4} \biggl( \frac{\mu_e}{\mu_c} \biggr)^{-5 / 2} \theta^{-5}_i \biggr]^{6/5} 
\theta^{6}_i \phi^{2}</math>
  </td>
</tr>
<tr>
  <td align="right" colspan="3">
&nbsp;
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>
K_c \biggl[ \biggl( \frac{K_e}{K_c} \biggr)^{-3 / 2} \biggl( \frac{\mu_e}{\mu_c} \biggr)^{-3} \biggr]  \phi^{2}
=
P_\mathrm{norm}\biggl[ \biggl( \frac{\mu_e}{\mu_c} \biggr)^{-3} \biggr]  \phi^{2}
</math>
  </td>
</tr>
<tr>
  <td align="right">
<math>r</math>
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>\biggl[ \frac{K_c}{G \rho_0^{4/5}} \biggr]^{1/2} \biggl( \frac{\mu_e}{\mu_c} \biggr)^{-1} \theta^{-2}_i (2\pi)^{-1/2}\eta</math>
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>\biggl[ \frac{K_c}{G } \biggr]^{1/2}
\biggl[ \biggl( \frac{K_e}{K_c} \biggr)^{-5 / 4} \biggl( \frac{\mu_e}{\mu_c} \biggr)^{-5 / 2} \theta^{-5}_i \biggr]^{- 2 / 5}
\biggl( \frac{\mu_e}{\mu_c} \biggr)^{-1} \theta^{-2}_i (2\pi)^{-1/2}\eta</math>
  </td>
</tr>
<tr>
  <td align="right" colspan="3">
&nbsp;
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>
\biggl[ \frac{K_c}{G } \biggr]^{1/2} \biggl( \frac{K_e}{K_c} \biggr)^{1 / 2} (2\pi)^{-1/2}\eta
=
r_\mathrm{norm}(2\pi)^{-1/2}\eta
</math>
  </td>
</tr>
<tr>
  <td align="right">
<math>M_r</math>
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>\biggl[ \frac{K_c^3}{G^3 \rho_0^{2/5}} \biggr]^{1/2} \biggl( \frac{\mu_e}{\mu_c} \biggr)^{-2} \theta^{-1}_i \biggl( \frac{2}{\pi} \biggr)^{1/2} \biggl(-\eta^2 \frac{d\phi}{d\eta} \biggr)</math>
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>\biggl[ \frac{K_c^3}{G^3 } \biggr]^{1/2}
\biggl[ \biggl( \frac{K_e}{K_c} \biggr)^{-5 / 4} \biggl( \frac{\mu_e}{\mu_c} \biggr)^{-5 / 2} \theta^{-5}_i \biggr]^{-1 / 5}
\biggl( \frac{\mu_e}{\mu_c} \biggr)^{-2} \theta^{-1}_i \biggl( \frac{2}{\pi} \biggr)^{1/2} \biggl(-\eta^2 \frac{d\phi}{d\eta} \biggr)</math>
  </td>
</tr>
<tr>
  <td align="right" colspan="3">
&nbsp;
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>\biggl[ \frac{K_c^3}{G^3 } \biggr]^{1/2}
\biggl( \frac{K_e}{K_c} \biggr)^{1 / 4}
\biggl( \frac{\mu_e}{\mu_c} \biggr)^{-3 / 2} \biggl( \frac{2}{\pi} \biggr)^{1/2} \biggl(-\eta^2 \frac{d\phi}{d\eta} \biggr)</math>
  </td>
</tr>
<tr>
  <td align="right" colspan="3">
&nbsp;
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>M_\mathrm{norm}
\biggl( \frac{\mu_e}{\mu_c} \biggr)^{-3 / 2} \biggl( \frac{2}{\pi} \biggr)^{1/2} \biggl(-\eta^2 \frac{d\phi}{d\eta} \biggr)</math>
  </td>
</tr>
</table>
<table border="1" align="center" cellpadding="10">
<tr>
  <td align="center" colspan="1">Adopted Normalizations</td>
</tr>
<tr>
  <td align="center">
<table border="0" align="center" width="70%" cellpadding="5">
<tr>
  <td align="right"><math>\rho_\mathrm{norm}</math></td>
  <td align="center"><math>\equiv</math></td>
  <td align="left"><math>\biggl( \frac{K_c}{K_e} \biggr)^{5 / 4} \, ;</math></td>
<td align="center" width="20%">&nbsp; &nbsp;</td>
  <td align="right"><math>P_\mathrm{norm}</math></td>
  <td align="center"><math>\equiv</math></td>
  <td align="left"><math>K_c  \biggl( \frac{K_e}{K_c} \biggr)^{-3 / 2} = \biggl[K_c^{5 } K_e^{-3} \biggr]^{1 / 2}\, ;</math></td>
</tr>
<tr>
  <td align="right"><math>r_\mathrm{norm}</math></td>
  <td align="center"><math>\equiv</math></td>
  <td align="left"><math>\biggl[ \frac{K_c}{G} \biggr]^{1/2} \biggl( \frac{K_e}{K_c} \biggr)^{1 / 2} = \biggl( \frac{K_e}{G} \biggr)^{1/2} \, ;</math></td>
<td align="center" width="20%">&nbsp; &nbsp;</td>
  <td align="right"><math>M_\mathrm{norm}</math></td>
  <td align="center"><math>\equiv</math></td>
  <td align="left">
<math>
\biggl[ \frac{K_c^3}{G^3} \biggr]^{1 / 2} \biggl( \frac{K_e}{K_c} \biggr)^{1 / 4}
=
\biggl[ K_c^{5} K_e G^{-6} \biggr]^{1 / 4} \, .
</math></td>
</tr>
</table>
</td></tr></table>
Note that the configuration's mean density is,
<table border="0" cellpadding="3" align="center">
<tr>
  <td align="right" colspan="3">
<math>\bar\rho \equiv \frac{3M_\mathrm{tot}}{4\pi R^3} </math>
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>
\biggl(\frac{3}{4\pi}\biggr) M_\mathrm{norm}
\biggl( \frac{\mu_e}{\mu_c} \biggr)^{-3 / 2} \biggl( \frac{2}{\pi} \biggr)^{1/2} \biggl(-\eta^2 \frac{d\phi}{d\eta} \biggr)_s
\biggl[r_\mathrm{norm}(2\pi)^{-1/2}\eta_s\biggr]^{-3}
</math>
  </td>
</tr>
<tr>
  <td align="right" colspan="3">
&nbsp;
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>
M_\mathrm{norm}r_\mathrm{norm}^{-3}\biggl( \frac{\mu_e}{\mu_c}
\biggr)^{-3 / 2} \biggl(\frac{3}{4\pi}\biggr) 
(2\pi)^{3 / 2}\biggl( \frac{2}{\pi} \biggr)^{1/2} \biggl(-\frac{1}{\eta}\cdot \frac{d\phi}{d\eta} \biggr)_s
</math>
  </td>
</tr>
<tr>
  <td align="right" colspan="3">
&nbsp;
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>
\biggl[ K_c^{5} K_e G^{-6} \biggr]^{1 / 4} \biggl( \frac{K_e}{G}\biggr)^{-3 / 2}
\biggl( \frac{\mu_e}{\mu_c} \biggr)^{-3 / 2}
\biggl[ \biggl(\frac{3^2}{2^4\pi^2}\biggr)  (2\pi)^{3 }\biggl( \frac{2}{\pi} \biggr) \biggr]^{1/2}
\biggl(-\frac{1}{\eta}\cdot \frac{d\phi}{d\eta} \biggr)_s
</math>
  </td>
</tr>
<tr>
  <td align="right" colspan="3">
&nbsp;
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>3\biggl( \frac{K_c}{K_e}\biggr)^{5 / 4}
\biggl( \frac{\mu_e}{\mu_c} \biggr)^{-3 / 2}
\biggl(-\frac{1}{\eta}\cdot \frac{d\phi}{d\eta} \biggr)_s \, .
</math>
  </td>
</tr>
</table>
Hence, the central-to-mean density of each equilibrium configuration is,
<table border="0" cellpadding="3" align="center">
<tr>
  <td align="right" colspan="3">
<math>\frac{\rho_0}{\bar\rho }</math>
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>
\rho_\mathrm{norm}\biggl[ \biggl( \frac{\mu_e}{\mu_c} \biggr)^{-5 / 2} \theta^{-5}_i \biggr]
\biggl\{ 3\rho_\mathrm{norm}
\biggl( \frac{\mu_e}{\mu_c} \biggr)^{-3 / 2}
\biggl(-\frac{1}{\eta}\cdot \frac{d\phi}{d\eta} \biggr)_s
\biggr\}^{-1}
\, .
</math>
  </td>
</tr>
<tr>
  <td align="right" colspan="3">
&nbsp;
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>
\biggl\{ 3
\biggl( \frac{\mu_e}{\mu_c} \biggr)
\theta^{5}_i \biggl(-\frac{1}{\eta}\cdot \frac{d\phi}{d\eta} \biggr)_s
\biggr\}^{-1}
\, .
</math>
  </td>
</tr>
</table>
==Yabushita75 Plot==
===Specify Desired Abscissa and Ordinate===
Here our desire is to generate a plot that is analogous to the one that appears as Fig. 1 (p. 445) of {{ Yabushita75 }}.  We need to plot the core mass versus the central density, and the total mass versus central density where,
<table border="0" cellpadding="3" align="center">
<tr>
  <td align="right">
<math>M_\mathrm{core}</math>
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>
M_\mathrm{norm}
\biggl[ \biggl( \frac{\mu_e}{\mu_c} \biggr)^{1 / 2} \theta_i \biggr]
\biggl( \frac{2\cdot 3}{\pi } \biggr)^{1 / 2} \biggl[ \xi_i^3 \biggl( 1 + \frac{1}{3}\xi_i^2 \biggr)^{-3/2} \biggr]
=
M_\mathrm{norm}
\biggl( \frac{\mu_e}{\mu_c} \biggr)^{1 / 2} \xi_i^3 \theta_i^4 \biggl( \frac{2\cdot 3}{\pi } \biggr)^{1 / 2}
\, ,
</math>
  </td>
</tr>
<tr>
  <td align="right">
<math>M_\mathrm{tot}</math>
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>
M_\mathrm{norm}
\biggl( \frac{\mu_e}{\mu_c} \biggr)^{-3 / 2} \biggl( \frac{2}{\pi} \biggr)^{1/2} \biggl(-\eta^2 \frac{d\phi}{d\eta} \biggr)_s
=
M_\mathrm{norm}
\biggl( \frac{\mu_e}{\mu_c} \biggr)^{-3 / 2} \biggl( \frac{2}{\pi} \biggr)^{1/2} \eta_s A
\, ,
</math>
  </td>
</tr>
<tr>
  <td align="right">
<math>\rho_0</math>
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>
\rho_\mathrm{norm}\biggl[ \biggl( \frac{\mu_e}{\mu_c} \biggr)^{-5 / 2} \theta^{-5}_i \biggr]
\, .
</math>
  </td>
</tr>
</table>
As a check against earlier derivations, note as well that,
<table border="0" cellpadding="3" align="center">
<tr>
  <td align="right">
<math>\nu \equiv \frac{M_\mathrm{core}}{M_\mathrm{tot}}</math>
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>M_\mathrm{norm}
\biggl[ \biggl( \frac{\mu_e}{\mu_c} \biggr)^{1 / 2} \theta_i \biggr]
\biggl( \frac{2\cdot 3}{\pi } \biggr)^{1 / 2} \biggl[ \xi_i^3 \biggl( 1 + \frac{1}{3}\xi_i^2 \biggr)^{-3/2} \biggr]
\biggl\{
M_\mathrm{norm} \biggl( \frac{\mu_e}{\mu_c} \biggr)^{-3 / 2} \biggl( \frac{2}{\pi} \biggr)^{1/2} \biggl(-\eta^2 \frac{d\phi}{d\eta} \biggr)_s
\biggr\}^{-1}
</math>
  </td>
</tr>
<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>
3^{1 / 2}\biggl( \frac{\mu_e}{\mu_c} \biggr)^{2} \theta_i
\biggl[ \xi_i^3 \biggl( 1 + \frac{1}{3}\xi_i^2 \biggr)^{-3/2} \biggr]
\biggl(-\eta^2 \frac{d\phi}{d\eta} \biggr)_s^{-1}
\, .
</math>
  </td>
</tr>
</table>
<table border="1" align="center">
<tr>
  <td align="center">[[File:Yabushita75MuRatio100MassesLabeled.png|400px|Yabushita75 Fig.1]]</td>
</tr>
</table>
<table border="0" align="center" width="80%">
<tr>
  <td align="left">
Figure Caption: &nbsp; Analogous to Figure 1 in {{ Yabushita75full }}, the burnt-orange colored curve shows how the core mass varies with <math>\xi_i</math> and the blue curve shows how the configuration's total mass varies with <math>\xi_i</math>.  More specifically, given that <math>\mu_e/\mu_c = 1</math>, the blue curve is a plot of the function, <math>[(2/\pi)^{1 / 2}\eta_s A]</math>, and the burnt-orange curve is a plot of the function, <math>[(6/\pi)^{1 / 2}\xi_i^3 \theta_i^4 ]</math>.
  </td>
</tr>
</table>
===Compare with Earlier Derivation===
From our [[SSC/Structure/BiPolytropes/Analytic51#Parameter_Values|earlier derivation]], we know that,
<table border="0" cellpadding="3" align="center">
<tr>
  <td align="right">
<math>\nu \equiv \frac{M_\mathrm{core}}{M_\mathrm{tot}}</math>
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>
\sqrt{3} \biggl(\frac{\mu_e}{\mu_c}\biggr)^{2} \biggl[
\frac{\xi_i^3 \theta_i^4}{A\eta_s}
\biggr]
</math>
  </td>
</tr>
<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>
\sqrt{3} \biggl(\frac{\mu_e}{\mu_c}\biggr)^{2} \biggl[
\frac{\xi_i^3 \theta_i^4}{\eta_s}
\biggr]\biggl[
-\eta_s \biggl(\frac{d\phi}{d\eta}\biggr)_s
\biggr]^{-1}
</math>
  </td>
</tr>
<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>
\sqrt{3} \biggl(\frac{\mu_e}{\mu_c}\biggr)^{2} \theta_i\biggl[
\xi_i^3 \biggl(1 + \frac{1}{3}\xi_i^2\biggr)^{-3 / 2}
\biggr]\biggl[
-\eta_s^2 \biggl(\frac{d\phi}{d\eta}\biggr)_s
\biggr]^{-1} \, .
</math>
  </td>
</tr>
</table>
Also, our [[SSC/Structure/BiPolytropes/Analytic51#Parameter_Values|earlier derivation]] gave,
<table border="0" cellpadding="3" align="center">
<tr>
  <td align="right">
<math>\frac{\rho_c}{\bar\rho}</math>
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>
\biggl(\frac{\mu_e}{\mu_c}\biggr)^{-1} \biggl[\frac{\eta_s^2}{3A\theta_i^5} \biggr]
</math>
  </td>
</tr>
<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>
\frac{1}{3} \biggl(\frac{\mu_e}{\mu_c}\biggr)^{-1} \theta_i^{-5} \biggl[- \frac{1}{\eta_s}\cdot \biggl(\frac{d\phi}{d\eta}\biggr)_s\biggr]^{-1}
\, .
</math>
  </td>
</tr>
</table>
Hooray! These both match our "new normalization" derivation.
===Locations of Extrema===
====Maximum Core Mass====
Since the core mass is given by an analytic expression, we should be able to determine analytically at what location <math>(\xi_i)</math> its maximum occurs. Specifically, given that,
<table border="0" cellpadding="3" align="center">
<tr>
  <td align="right">
<math>\theta_i</math>
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>
\biggl(1 + \frac{\xi_i^2}{3}\biggr)^{-1 / 2} \, ,
</math>
  </td>
</tr>
</table>
<table border="1" align="right" cellpadding="5"><tr><td align="center">[[File:DFBsequenceB.png|300px|center|Pressure-truncated polytropic sequences]]</td></tr><td align="left">[[SSC/Structure/PolytropesEmbedded#DFBsequences|Pressure-truncated equilibrium polytropic sequences]].</td></tr></table>
the maximum occurs when the first derivative of the function goes to zero, that is,
<table border="0" cellpadding="3" align="center">
<tr>
  <td align="right">
<math>\frac{1}{M_\mathrm{norm}} \cdot \frac{dM_\mathrm{core}}{d\xi_i}</math>
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>
\biggl( \frac{\mu_e}{\mu_c} \biggr)^{1 / 2}\biggl( \frac{2\cdot 3}{\pi } \biggr)^{1 / 2}
\frac{d}{d\xi_i}\biggl[\xi_i^3 \theta_i^4  \biggr]
~~\rightarrow ~~ 0
</math>
  </td>
</tr>
<tr>
  <td align="right">
<math>
\Rightarrow ~~~ 0
</math>
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>\frac{d}{d\xi_i}\biggl[\xi_i^3 \biggl(1 + \frac{\xi_i^2}{3}\biggr)^{-2}  \biggr]
</math>
  </td>
</tr>
<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>
\biggl(1 + \frac{\xi_i^2}{3}\biggr)^{-2}  \frac{d}{d\xi_i}\biggl[\xi_i^3 \biggr]
+
\xi_i^3 \frac{d}{d\xi_i}\biggl[\biggl(1 + \frac{\xi_i^2}{3}\biggr)^{-2}  \biggr]
</math>
  </td>
</tr>
<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>
3\xi_i^2\biggl(1 + \frac{\xi_i^2}{3}\biggr)^{-2} 
+
\xi_i^3 \biggl[ - 2\biggl(1 + \frac{\xi_i^2}{3}\biggr)^{-3}  \biggr] \frac{2\xi_i}{3}
</math>
  </td>
</tr>
<tr>
  <td align="right">
<math>\Rightarrow ~~~ 3\xi_i^2\biggl(1 + \frac{\xi_i^2}{3}\biggr)^{-2}  </math>
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>
\xi_i^3 \biggl[ \biggl(1 + \frac{\xi_i^2}{3}\biggr)^{-3}  \biggr] \frac{4\xi_i}{3}
</math>
  </td>
</tr>
<tr>
  <td align="right">
<math>\Rightarrow ~~~ \biggl(1 + \frac{\xi_i^2}{3}\biggr)  </math>
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>
\frac{4\xi_i^2}{9}
</math>
  </td>
</tr>
<tr>
  <td align="right">
<math>\Rightarrow ~~~ \xi_i^2  </math>
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>
9 \, .
</math>
  </td>
</tr>
</table>
The burnt-orange colored, vertical dashed line in the above figure has been placed at <math>\xi_i = 3</math>; it intersects the point along the core-mass curve where the core mass is a maximum.  In a [[SSC/Structure/PolytropesEmbedded#Some_Tabulated_Values|separate discussion]] of pressure-truncated polytropic spheres, this has also been identified as the location of the maximum mass along <math>n=5</math> equilibrium sequence.  It is comforting to see that the same turning point arises whether or not an "envelope" has been added to the <math>n=5</math> polytropic core.
====Maximum Total Mass====
Similarly we should be able to derive an analytic expression for the location along the bipolytropic sequence where the configuration's total mass acquires its maximum value.  Drawing from [[SSC/Structure/BiPolytropes/Analytic51#Parameter_Values|our detailed discussion of the properties of various model parameters]], we can write,
<table border="0" cellpadding="3" align="center">
<tr>
  <td align="right">
<math>\biggl( \frac{\mu_e}{\mu_c} \biggr)^{3 / 2} \biggl( \frac{2}{\pi} \biggr)^{- 1/2}\frac{1}{M_\mathrm{norm}} \cdot M_\mathrm{tot}</math>
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>
\biggl(-\eta^2 \frac{d\phi}{d\eta} \biggr)_s
</math>
  </td>
</tr>
<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>
\eta_s A
</math>
  </td>
</tr>
<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>
\biggl[\eta_i + \frac{\pi}{2} + \tan^{-1}(\Lambda_i)\biggr]
\biggl[\eta_i (1 + \Lambda_i^2 )^{1 / 2} \biggr] \, ,
</math>
  </td>
</tr>
</table>
where,
<table border="0" cellpadding="3" align="center">
<tr>
  <td align="right">
<math>\eta_i</math>
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>
3^{1 / 2} \biggl(\frac{\mu_e}{\mu_c}\biggr) \xi_i \theta_i^2
</math>
  </td>
<td align="center">&nbsp; &nbsp; &nbsp; and, &nbsp; &nbsp; &nbsp; </td>
  <td align="right">
<math>\Lambda_i</math>
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>
\frac{1}{\eta_i} - 3^{-1 / 2}\xi_i \, .
</math>
  </td>
</tr>
</table>
Rewriting these terms gives,
<table border="0" cellpadding="3" align="center">
<tr>
  <td align="right">
<math>\eta_i</math>
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>
3^{1 / 2} \biggl(\frac{\mu_e}{\mu_c}\biggr) \xi_i \biggl(\frac{3}{3 + \xi_i^2} \biggr)
=
3^{3 / 2} \biggl(\frac{\mu_e}{\mu_c}\biggr) \xi_i (3 + \xi_i^2)^{-1}
</math>
  </td>
</tr>
<tr>
  <td align="right">
<math>\Rightarrow ~~~ \frac{d\eta_i}{d\xi_i}</math>
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>
3^{3 / 2} \biggl(\frac{\mu_e}{\mu_c}\biggr) \frac{d}{d\xi_i}\biggl[ \xi_i (3 + \xi_i^2)^{-1} \biggr]
=
3^{3 / 2} \biggl(\frac{\mu_e}{\mu_c}\biggr) \biggl\{
(3 + \xi_i^2)^{-1}
-
2 \xi_i^2 (3 + \xi_i^2)^{-2}
\biggr\}
</math>
  </td>
</tr>
<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>
3^{3 / 2} \biggl(\frac{\mu_e}{\mu_c}\biggr) \biggl\{
(3 + \xi_i^2)
-
2 \xi_i^2
\biggr\}(3 + \xi_i^2)^{-2}
=
3^{3 / 2} \biggl(\frac{\mu_e}{\mu_c}\biggr) \biggl\{
3 - \xi_i^2
\biggr\}(3 + \xi_i^2)^{-2} \, ;
</math>
  </td>
</tr>
</table>
and,
<table border="0" cellpadding="3" align="center">
<tr>
  <td align="right">
<math>\Lambda_i</math>
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>
3^{- 3 / 2} \biggl(\frac{\mu_e}{\mu_c}\biggr)^{-1} \xi_i^{-1} (3 + \xi_i^2) - 3^{-1 / 2}\xi_i
=
3^{- 3 / 2}\biggl(\frac{\mu_e}{\mu_c}\biggr)^{-1} \xi^{-1}\biggl\{ 3 + \biggl[ 1 - 3\biggl(\frac{\mu_e}{\mu_c}\biggr)\biggr]\xi_i^2 \biggr\}
</math>
  </td>
</tr>
<tr>
  <td align="right">
<math>\Rightarrow~~~ \frac{d\Lambda_i}{d\xi_i}</math>
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>
3^{- 3 / 2}\biggl(\frac{\mu_e}{\mu_c}\biggr)^{-1} \frac{d}{d\xi_i}\biggl\{ 3\xi^{-1} + \biggl[ 1 - 3\biggl(\frac{\mu_e}{\mu_c}\biggr)\biggr]\xi_i \biggr\}
</math>
  </td>
</tr>
<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>
3^{- 3 / 2}\biggl(\frac{\mu_e}{\mu_c}\biggr)^{-1}
\biggl\{\biggl[ 1 - 3\biggl(\frac{\mu_e}{\mu_c}\biggr)\biggr] -\frac{3}{\xi_i^2} \biggr\}
\, .
</math>
  </td>
</tr>
</table>
Hence,
<table border="0" cellpadding="3" align="center">
<tr>
  <td align="right">
<math>\biggl( \frac{\mu_e}{\mu_c} \biggr)^{3 / 2} \biggl( \frac{2}{\pi} \biggr)^{- 1/2}\frac{1}{M_\mathrm{norm}}\cdot \frac{dM_\mathrm{tot}}{d\xi_i}</math>
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>
\biggl[\eta_i + \frac{\pi}{2} + \tan^{-1}(\Lambda_i)\biggr]
\frac{d}{d\xi_i}\biggl[\eta_i (1 + \Lambda_i^2 )^{1 / 2} \biggr]
+
\biggl[\eta_i (1 + \Lambda_i^2 )^{1 / 2} \biggr]
\frac{d}{d\xi_i}\biggl[\eta_i + \frac{\pi}{2} + \tan^{-1}(\Lambda_i)\biggr]
</math>
  </td>
</tr>
<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>
\biggl[\eta_i + \frac{\pi}{2} + \tan^{-1}(\Lambda_i)\biggr]
\biggl\{
\eta_i \frac{d}{d\xi_i}\biggl[(1 + \Lambda_i^2 )^{1 / 2} \biggr]
+
(1 + \Lambda_i^2 )^{1 / 2} \frac{d\eta_i}{d\xi_i}
\biggr\}
</math>
  </td>
</tr>
<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
&nbsp;
  </td>
  <td align="left">
<math>
+
\biggl[\eta_i (1 + \Lambda_i^2 )^{1 / 2} \biggr] \biggl\{
\frac{d\eta_i}{d\xi_i}
+
(1 + \Lambda_i^2)^{-1}\frac{d\Lambda_i}{d\xi_i}
\biggr\}
</math>
  </td>
</tr>
<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>
\biggl[\eta_i + \frac{\pi}{2} + \tan^{-1}(\Lambda_i)\biggr]
\biggl\{
\eta_i \Lambda_i(1 + \Lambda_i^2 )^{-1 / 2} \frac{d\Lambda_i}{d\xi_i}
\biggr\}
+
\biggl\{ \eta_i (1 + \Lambda_i^2)^{-1 / 2}\frac{d\Lambda_i}{d\xi_i}
\biggr\}
</math>
  </td>
</tr>
<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
&nbsp;
  </td>
  <td align="left">
<math>
+
\biggl\{
\eta_i (1 + \Lambda_i^2 )^{1 / 2}\frac{d\eta_i}{d\xi_i}\biggr\}
+
\biggl[\eta_i + \frac{\pi}{2} + \tan^{-1}(\Lambda_i)\biggr]
\biggl\{
(1 + \Lambda_i^2 )^{1 / 2} \frac{d\eta_i}{d\xi_i}
\biggr\}
</math>
  </td>
</tr>
<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>
\overbrace{\biggl[1 + \eta_i\Lambda_i + \frac{\pi}{2}\Lambda_i + \Lambda_i\tan^{-1}(\Lambda_i)\biggr]
\biggl\{
\eta_i (1 + \Lambda_i^2 )^{-1 / 2} \frac{d\Lambda_i}{d\xi_i}
\biggr\}}^\mathrm{TERM1}
+
\underbrace{\biggl[2\eta_i + \frac{\pi}{2} + \tan^{-1}(\Lambda_i)\biggr]
\biggl\{
(1 + \Lambda_i^2 )^{1 / 2} \frac{d\eta_i}{d\xi_i}
\biggr\}}_\mathrm{TERM2}
</math>
  </td>
</tr>
</table>
<table border="1" align="center" cellpadding="5">
<tr>
<td align="center" colspan="14">Maximum Total Mass ''a la'' {{ Yabushita75 }}</td>
</tr>
<tr>
  <td align="center"><math>\frac{\mu_e}{\mu_c}</math></td>
  <td align="center"><math>\xi_i</math></td>
  <td align="center"><math>\eta_i</math></td>
  <td align="center"><math>\Lambda_i</math></td>
  <td align="center"><math>\frac{d\eta_i}{d\xi_i}</math></td>
  <td align="center"><math>\frac{d\Lambda_i}{d\xi_i}</math></td>
  <td align="center">TERM1</td>
  <td align="center">TERM2</td>
  <td align="center">Error</td>
  <td align="center"><math>M_\mathrm{tot}/M_\mathrm{norm}</math></td>
  <td align="center">[[SSC/Stability/BiPolytropes#Equilibrium_Properties_of_Marginally_Unstable_Models|LAWE]]</td>
  <td align="center">[[SSC/Stability/BiPolytropes/51Models#Stability|Implicit<br />Scheme]]</td>
</tr>
<tr>
  <td align="center">1.000</td>
  <td align="center" bgcolor="lightgreen">1.66846298</td>
  <td align="center">1.4989514</td>
  <td align="center">-0.2961544</td>
  <td align="center">0.0335876</td>
  <td align="center">-0.592299</td>
  <td align="center">-0.1499536</td>
  <td align="center">+0.1499536</td>
  <td align="center"><math>1.58\times 10^{-9}</math></td>
  <td align="center">3.4698691</td>
  <td align="center" bgcolor="yellow">1.6686460157</td>
  <td align="center" bgcolor="yellow">1.6639103365</td>
</tr>
</table>
=Based on Pressure-Truncated n = 5 Polytrope=
==Chieze87 Normalization==
In a [[SSC/Structure/PolytropesEmbedded#Chieze's_Presentation|subsection]] of our [[SSC/Structure/PolytropesEmbedded#Embedded_Polytropic_Spheres|separate discussion of pressure-truncated polytropes]], we highlighted the published work of [http://adsabs.harvard.edu/abs/1987A%26A...171..225C J. P. Chieze (1987, A&amp;A, 171, 225-232)].  It can [[SSC/Structure/PolytropesEmbedded#Example_Sequences|readily be shown]] that his expressions for <math>P_e</math>, <math>R_\mathrm{eq}</math>, and <math>M_\mathrm{tot}</math> &#8212; in our terminology, <math>P_i</math>, <math>r_i</math>, and <math>M_\mathrm{core}</math> &#8212; are identical to the expressions we [[#Throughout_the_Core|presented above]] in the context of the n = 5 core of our bipolytrope.  Specifically,
[[File:N5Sequence01B.png|400px|right|Chieze87 Figure 3]]
<div align="center">
<table border="0" cellpadding="3">
<tr>
  <td align="right">
<math>P_i</math>
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>K_c \rho_0^{6/5} \biggl( 1 + \frac{1}{3}\xi_i^2 \biggr)^{-3}</math>
  </td>
</tr>
<tr>
  <td align="right">
<math>r_\mathrm{core}</math>
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>\biggl[ \frac{K_c}{G\rho_0^{4/5}} \biggr]^{1/2} \biggl(\frac{3}{2\pi}\biggr)^{1/2} \xi_i</math>
  </td>
</tr>
<tr>
  <td align="right">
<math>M_\mathrm{core}</math>
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>\biggl[ \frac{K_c^3}{G^3 \rho_0^{2/5} } \biggr]^{1/2} \biggl( \frac{2\cdot 3}{\pi } \biggr)^{1/2}
\biggl[ \xi_i^3 \biggl( 1 + \frac{1}{3}\xi_i^2 \biggr)^{-3/2} \biggr]</math>
  </td>
</tr>
</table>
</div>
If we invert the third expression to determine how the central density depends on the core mass, then use this result to replace <math>\rho_0</math> in the other two expressions, we find that,
<table border="0" align="center" cellpadding="5">
<tr>
  <td align="right">
<math>P_i \biggl[G^9 K_c^{-10} M_\mathrm{core}^6  \biggr]</math>
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>
\biggl(\frac{2\cdot 3}{\pi}\biggr)^3 \xi_i^{18} \biggl(1 + \frac{\xi_i^2}{3} \biggr)^{-12}
</math>
  </td>
</tr>
<tr>
  <td align="right">
<math>\biggl(\frac{4\pi r_\mathrm{core}^3}{3} \biggr) \biggl[\biggl(\frac{K_c}{G}\biggr)^{15/2} M_\mathrm{core}^{-6}  \biggr]</math>
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>
\biggl(\frac{\pi}{2\cdot 3}\biggr)^{5/2} \xi_i^{-15} \biggl(1 + \frac{\xi_i^2}{3} \biggr)^{9}
</math>
  </td>
</tr>
</table>
This leads to panel (a) of [[SSC/Structure/PolytropesEmbedded#Fig3|Figure 3 from that discussion]]; also shown here, on the right.
==Switch from Core Mass to Total Mass==
Now with the bipolytropic model in mind, let's switch from the core mass to the total mass, drawing the following expression from [[#Throughout_the_Envelope|above]] &hellip;
<table border="0" align="center"  cellpadding="5">
<tr>
  <td align="right">
<math>M_\mathrm{tot}</math>
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>\biggl[ \frac{K_c^3}{G^3 \rho_0^{2/5}} \biggr]^{1/2} \biggl( \frac{\mu_e}{\mu_c} \biggr)^{-2}
\theta^{-1}_i \biggl( \frac{2}{\pi} \biggr)^{1/2} \biggl(-\eta^2 \frac{d\phi}{d\eta} \biggr)_s</math>
  </td>
</tr>
<tr>
  <td align="right">
<math>\Rightarrow ~~~ \rho_0^{1 / 5}</math>
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>
M_\mathrm{tot}^{-1}\biggl[ \frac{K_c^3}{G^3 } \biggr]^{1/2} \biggl( \frac{\mu_e}{\mu_c} \biggr)^{-2}
\theta^{-1}_i \biggl( \frac{2}{\pi} \biggr)^{1/2} \biggl(-\eta^2 \frac{d\phi}{d\eta} \biggr)_s
</math>
  </td>
</tr>
</table>
in which case,
<table border="0" align="center" cellpadding="3">
<tr>
  <td align="right">
<math>P_i</math>
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>
K_c \theta_i^6 \biggl\{
M_\mathrm{tot}^{-1}\biggl[ \frac{K_c^3}{G^3 } \biggr]^{1/2} \biggl( \frac{\mu_e}{\mu_c} \biggr)^{-2}
\theta^{-1}_i \biggl( \frac{2}{\pi} \biggr)^{1/2} \biggl(-\eta^2 \frac{d\phi}{d\eta} \biggr)_s
\biggr\}^6
</math>
  </td>
</tr>
<tr>
  <td align="right">
&nbsp;
  </td>
  <td align="center">
<math>=</math>
  </td>
  <td align="left">
<math>
G^{-9}K_c^{10} M_\mathrm{tot}^{-6} \biggl\{
\biggl( \frac{\mu_e}{\mu_c} \biggr)^{-4}
\biggl( \frac{2}{\pi} \biggr) \biggl(-\eta^2 \frac{d\phi}{d\eta} \biggr)_s^2
\biggr\}^3 \, ;
</math>
   </td>
   </td>
</tr>
</tr>

Latest revision as of 23:16, 13 November 2023


BiPolytrope with nc = 5 and ne = 1

After studying 📚 S. Yabushita (1975, MNRAS, Vol. 172, pp. 441 - 453) in depth, here we renormalize our original construction of bipolytropic models with (nc,ne)=(5,1) such that both entropy values, (Kc,Ke), are held fixed along each model sequence.

Original Derivation

Throughout the Core

Drawing from our original derivation, throughout the core

Specify: Kc and ρ0

 

ρ

=

ρ0θnc

=

ρ0(1+13ξ2)5/2

P

=

Kcρ01+1/ncθnc+1

=

Kcρ06/5(1+13ξ2)3

r

=

[(nc+1)Kc4πG]1/2ρ0(1nc)/(2nc)ξ

=

[KcGρ04/5]1/2(32π)1/2ξ

Mr

=

4π[(nc+1)Kc4πG]3/2ρ0(3nc)/(2nc)(ξ2dθdξ)

=

[Kc3G3ρ02/5]1/2(23π)1/2[ξ3(1+13ξ2)3/2]

Throughout the Envelope

And throughout the envelope,

 

Knowing: Ke/Kc and ρe/ρ0 from Step 5  

ρ

=

ρeϕne

=

ρ0(ρeρ0)ϕ

=

ρ0(μeμc)θi5ϕ

P

=

Keρe1+1/neϕne+1

=

Kcρ06/5(Keρ04/5Kc)(ρeρ0)2ϕ2

=

Kcρ06/5θi6ϕ2

r

=

[(ne+1)Ke4πG]1/2ρe(1ne)/(2ne)η

=

[KcGρ04/5]1/2(Keρ04/5Kc)1/2(2π)1/2η

=

[KcGρ04/5]1/2(μeμc)1θi2(2π)1/2η

Mr

=

4π[(ne+1)Ke4πG]3/2ρe(3ne)/(2ne)(η2dϕdη)

=

[Kc3G3ρ02/5]1/2(Keρ04/5Kc)3/2(ρeρ0)(2π)1/2(η2dϕdη)

=

[Kc3G3ρ02/5]1/2(μeμc)2θi1(2π)1/2(η2dϕdη)

Interface Conditions

And at the interface

 

Setting nc=5, ne=1, and ϕi=1

ρeρ0

=

(μeμc)θincϕine

=

(μeμc)θi5

(KeKc)

=

ρ01/nc1/ne(μeμc)(1+1/ne)θi1nc/ne

=

ρ04/5(μeμc)2θi4

ηiξi

=

[nc+1ne+1]1/2(μeμc)θi(nc1)/2ϕi(1ne)/2

=

31/2(μeμc)θi2

(dϕdη)i

=

[nc+1ne+1]1/2θi(nc+1)/2ϕi(ne+1)/2(dθdξ)i

=

31/2θi3(dθdξ)i

New Normalization

From one of the interface conditions, we see that,

(KeKc)

=

ρ04/5(μeμc)2θi4

ρ0

=

[(KeKc)1(μeμc)2θi4]5/4=[(KeKc)5/4(μeμc)5/2θi5]=ρnorm[(μeμc)5/2θi5].

Alternate01

(KeKc)(μeμc)m

=

ρ04/5(μeμc)m2θi4

[(KeKc)(μeμc)m]5/4

=

ρ01(μeμc)5(m2)/4θi5

ρ0

=

[(KeKc)(μeμc)m]5/4ρalt(μeμc)5(m2)/4θi5

ABANDONED

Hence, throughout the core, we have,

ρ

=

ρ0(1+13ξ2)5/2

=

ρnorm[(μeμc)5/2θi5](1+13ξ2)5/2

P

=

Kcρ06/5(1+13ξ2)3

=

Kc[(KeKc)5/4(μeμc)5/2θi5]6/5(1+13ξ2)3

 

=

Kc[(KeKc)3/2(μeμc)3θi6](1+13ξ2)3=Pnorm[(μeμc)3θi6](1+13ξ2)3

r

=

[KcGρ04/5]1/2(32π)1/2ξ

=

[KcG]1/2[(KeKc)5/4(μeμc)5/2θi5]2/5(32π)1/2ξ

 

=

[KcG]1/2[(KeKc)1/2(μeμc)θi2](32π)1/2ξ=rnorm[(μeμc)θi2](32π)1/2ξ

Mr

=

[Kc3G3ρ02/5]1/2(23π)1/2[ξ3(1+13ξ2)3/2]

=

[Kc3G3]1/2[(KeKc)5/4(μeμc)5/2θi5]1/5(23π)1/2[ξ3(1+13ξ2)3/2]

 

=

[Kc3G3]1/2[(KeKc)1/4(μeμc)1/2θi](23π)1/2[ξ3(1+13ξ2)3/2]

 

=

Mnorm[(μeμc)1/2θi](23π)1/2[ξ3(1+13ξ2)3/2]

And, throughout the envelope …

ρ

=

ρ0(μeμc)θi5ϕ

=

[(KeKc)5/4(μeμc)5/2θi5](μeμc)θi5ϕ

 

=

ρnorm[(μeμc)3/2]ϕ

P

=

Kcρ06/5θi6ϕ2

=

Kc[(KeKc)5/4(μeμc)5/2θi5]6/5θi6ϕ2

 

=

Kc[(KeKc)3/2(μeμc)3]ϕ2=Pnorm[(μeμc)3]ϕ2

r

=

[KcGρ04/5]1/2(μeμc)1θi2(2π)1/2η

=

[KcG]1/2[(KeKc)5/4(μeμc)5/2θi5]2/5(μeμc)1θi2(2π)1/2η

 

=

[KcG]1/2(KeKc)1/2(2π)1/2η=rnorm(2π)1/2η

Mr

=

[Kc3G3ρ02/5]1/2(μeμc)2θi1(2π)1/2(η2dϕdη)

=

[Kc3G3]1/2[(KeKc)5/4(μeμc)5/2θi5]1/5(μeμc)2θi1(2π)1/2(η2dϕdη)

 

=

[Kc3G3]1/2(KeKc)1/4(μeμc)3/2(2π)1/2(η2dϕdη)

 

=

Mnorm(μeμc)3/2(2π)1/2(η2dϕdη)

Adopted Normalizations
ρnorm (KcKe)5/4;     Pnorm Kc(KeKc)3/2=[Kc5Ke3]1/2;
rnorm [KcG]1/2(KeKc)1/2=(KeG)1/2;     Mnorm [Kc3G3]1/2(KeKc)1/4=[Kc5KeG6]1/4.

Note that the configuration's mean density is,

ρ¯3Mtot4πR3

=

(34π)Mnorm(μeμc)3/2(2π)1/2(η2dϕdη)s[rnorm(2π)1/2ηs]3

 

=

Mnormrnorm3(μeμc)3/2(34π)(2π)3/2(2π)1/2(1ηdϕdη)s

 

=

[Kc5KeG6]1/4(KeG)3/2(μeμc)3/2[(3224π2)(2π)3(2π)]1/2(1ηdϕdη)s

 

=

3(KcKe)5/4(μeμc)3/2(1ηdϕdη)s.

Hence, the central-to-mean density of each equilibrium configuration is,

ρ0ρ¯

=

ρnorm[(μeμc)5/2θi5]{3ρnorm(μeμc)3/2(1ηdϕdη)s}1.

 

=

{3(μeμc)θi5(1ηdϕdη)s}1.

Yabushita75 Plot

Specify Desired Abscissa and Ordinate

Here our desire is to generate a plot that is analogous to the one that appears as Fig. 1 (p. 445) of 📚 Yabushita (1975). We need to plot the core mass versus the central density, and the total mass versus central density where,

Mcore

=

Mnorm[(μeμc)1/2θi](23π)1/2[ξi3(1+13ξi2)3/2]=Mnorm(μeμc)1/2ξi3θi4(23π)1/2,

Mtot

=

Mnorm(μeμc)3/2(2π)1/2(η2dϕdη)s=Mnorm(μeμc)3/2(2π)1/2ηsA,

ρ0

=

ρnorm[(μeμc)5/2θi5].

As a check against earlier derivations, note as well that,

νMcoreMtot

=

Mnorm[(μeμc)1/2θi](23π)1/2[ξi3(1+13ξi2)3/2]{Mnorm(μeμc)3/2(2π)1/2(η2dϕdη)s}1

 

=

31/2(μeμc)2θi[ξi3(1+13ξi2)3/2](η2dϕdη)s1.

Yabushita75 Fig.1

Figure Caption:   Analogous to Figure 1 in 📚 S. Yabushita (1975, MNRAS, Vol. 172, pp. 441 - 453), the burnt-orange colored curve shows how the core mass varies with ξi and the blue curve shows how the configuration's total mass varies with ξi. More specifically, given that μe/μc=1, the blue curve is a plot of the function, [(2/π)1/2ηsA], and the burnt-orange curve is a plot of the function, [(6/π)1/2ξi3θi4].

Compare with Earlier Derivation

From our earlier derivation, we know that,

νMcoreMtot

=

3(μeμc)2[ξi3θi4Aηs]

 

=

3(μeμc)2[ξi3θi4ηs][ηs(dϕdη)s]1

 

=

3(μeμc)2θi[ξi3(1+13ξi2)3/2][ηs2(dϕdη)s]1.

Also, our earlier derivation gave,

ρcρ¯

=

(μeμc)1[ηs23Aθi5]

 

=

13(μeμc)1θi5[1ηs(dϕdη)s]1.

Hooray! These both match our "new normalization" derivation.

Locations of Extrema

Maximum Core Mass

Since the core mass is given by an analytic expression, we should be able to determine analytically at what location (ξi) its maximum occurs. Specifically, given that,

θi

=

(1+ξi23)1/2,

Pressure-truncated polytropic sequences
Pressure-truncated polytropic sequences
Pressure-truncated equilibrium polytropic sequences.

the maximum occurs when the first derivative of the function goes to zero, that is,

1MnormdMcoredξi

=

(μeμc)1/2(23π)1/2ddξi[ξi3θi4]0

0

=

ddξi[ξi3(1+ξi23)2]

 

=

(1+ξi23)2ddξi[ξi3]+ξi3ddξi[(1+ξi23)2]

 

=

3ξi2(1+ξi23)2+ξi3[2(1+ξi23)3]2ξi3

3ξi2(1+ξi23)2

=

ξi3[(1+ξi23)3]4ξi3

(1+ξi23)

=

4ξi29

ξi2

=

9.

The burnt-orange colored, vertical dashed line in the above figure has been placed at ξi=3; it intersects the point along the core-mass curve where the core mass is a maximum. In a separate discussion of pressure-truncated polytropic spheres, this has also been identified as the location of the maximum mass along n=5 equilibrium sequence. It is comforting to see that the same turning point arises whether or not an "envelope" has been added to the n=5 polytropic core.

Maximum Total Mass

Similarly we should be able to derive an analytic expression for the location along the bipolytropic sequence where the configuration's total mass acquires its maximum value. Drawing from our detailed discussion of the properties of various model parameters, we can write,

(μeμc)3/2(2π)1/21MnormMtot

=

(η2dϕdη)s

 

=

ηsA

 

=

[ηi+π2+tan1(Λi)][ηi(1+Λi2)1/2],

where,

ηi

=

31/2(μeμc)ξiθi2

      and,      

Λi

=

1ηi31/2ξi.

Rewriting these terms gives,

ηi

=

31/2(μeμc)ξi(33+ξi2)=33/2(μeμc)ξi(3+ξi2)1

dηidξi

=

33/2(μeμc)ddξi[ξi(3+ξi2)1]=33/2(μeμc){(3+ξi2)12ξi2(3+ξi2)2}

 

=

33/2(μeμc){(3+ξi2)2ξi2}(3+ξi2)2=33/2(μeμc){3ξi2}(3+ξi2)2;

and,

Λi

=

33/2(μeμc)1ξi1(3+ξi2)31/2ξi=33/2(μeμc)1ξ1{3+[13(μeμc)]ξi2}

dΛidξi

=

33/2(μeμc)1ddξi{3ξ1+[13(μeμc)]ξi}

 

=

33/2(μeμc)1{[13(μeμc)]3ξi2}.

Hence,

(μeμc)3/2(2π)1/21MnormdMtotdξi

=

[ηi+π2+tan1(Λi)]ddξi[ηi(1+Λi2)1/2]+[ηi(1+Λi2)1/2]ddξi[ηi+π2+tan1(Λi)]

 

=

[ηi+π2+tan1(Λi)]{ηiddξi[(1+Λi2)1/2]+(1+Λi2)1/2dηidξi}

 

 

+[ηi(1+Λi2)1/2]{dηidξi+(1+Λi2)1dΛidξi}

 

=

[ηi+π2+tan1(Λi)]{ηiΛi(1+Λi2)1/2dΛidξi}+{ηi(1+Λi2)1/2dΛidξi}

 

 

+{ηi(1+Λi2)1/2dηidξi}+[ηi+π2+tan1(Λi)]{(1+Λi2)1/2dηidξi}

 

=

[1+ηiΛi+π2Λi+Λitan1(Λi)]{ηi(1+Λi2)1/2dΛidξi}TERM1+[2ηi+π2+tan1(Λi)]{(1+Λi2)1/2dηidξi}TERM2

Maximum Total Mass a la 📚 Yabushita (1975)
μeμc ξi ηi Λi dηidξi dΛidξi TERM1 TERM2 Error Mtot/Mnorm LAWE Implicit
Scheme
1.000 1.66846298 1.4989514 -0.2961544 0.0335876 -0.592299 -0.1499536 +0.1499536 1.58×109 3.4698691 1.6686460157 1.6639103365

Based on Pressure-Truncated n = 5 Polytrope

Chieze87 Normalization

In a subsection of our separate discussion of pressure-truncated polytropes, we highlighted the published work of J. P. Chieze (1987, A&A, 171, 225-232). It can readily be shown that his expressions for Pe, Req, and Mtot — in our terminology, Pi, ri, and Mcore — are identical to the expressions we presented above in the context of the n = 5 core of our bipolytrope. Specifically,

Chieze87 Figure 3
Chieze87 Figure 3

Pi

=

Kcρ06/5(1+13ξi2)3

rcore

=

[KcGρ04/5]1/2(32π)1/2ξi

Mcore

=

[Kc3G3ρ02/5]1/2(23π)1/2[ξi3(1+13ξi2)3/2]

If we invert the third expression to determine how the central density depends on the core mass, then use this result to replace ρ0 in the other two expressions, we find that,

Pi[G9Kc10Mcore6]

=

(23π)3ξi18(1+ξi23)12

(4πrcore33)[(KcG)15/2Mcore6]

=

(π23)5/2ξi15(1+ξi23)9

This leads to panel (a) of Figure 3 from that discussion; also shown here, on the right.

Switch from Core Mass to Total Mass

Now with the bipolytropic model in mind, let's switch from the core mass to the total mass, drawing the following expression from above

Mtot

=

[Kc3G3ρ02/5]1/2(μeμc)2θi1(2π)1/2(η2dϕdη)s

ρ01/5

=

Mtot1[Kc3G3]1/2(μeμc)2θi1(2π)1/2(η2dϕdη)s

in which case,

Pi

=

Kcθi6{Mtot1[Kc3G3]1/2(μeμc)2θi1(2π)1/2(η2dϕdη)s}6

 

=

G9Kc10Mtot6{(μeμc)4(2π)(η2dϕdη)s2}3;

See Also


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