SSC/Stability/BiPolytropes/HeadScratching: Difference between revisions

From jetwiki
Jump to navigation Jump to search
No edit summary
Line 99: Line 99:
   <td align="center">43.437</td>
   <td align="center">43.437</td>
   <td align="center"><math>\nu_\mathrm{max}</math></td>
   <td align="center"><math>\nu_\mathrm{max}</math></td>
   <td align="left"><font size="-1">Dark-green circular marker in Fig. 2</font></td>
   <td align="left"><font size="-1">Dark-green circular marker in Figs. 2, 4, &amp; 5</font></td>
</tr>
</tr>
<tr>
<tr>
Line 108: Line 108:
   <td align="center">39.14</td>
   <td align="center">39.14</td>
   <td align="center">(inadequate) LAWE analysis</td>
   <td align="center">(inadequate) LAWE analysis</td>
   <td align="left"><font size="-1">Orange triangular marker in Fig. 3</font></td>
   <td align="left"><font size="-1">Orange triangular marker in Figs. 3, 4, &amp; 5</font></td>
</tr>
</tr>
<tr>
<tr>
Line 117: Line 117:
   <td align="center">38.970</td>
   <td align="center">38.970</td>
   <td align="center"><math>M^*_\mathrm{tot}\biggr|_\mathrm{min}</math></td>
   <td align="center"><math>M^*_\mathrm{tot}\biggr|_\mathrm{min}</math></td>
   <td align="left" cellpadding="5"><font size="-1">Light-blue diamond marker in Fig. 4</font></td>
   <td align="left" cellpadding="5"><font size="-1">Light-blue diamond marker in Figs. 4 &amp; 5</font></td>
</tr>
</tr>
<tr>
<tr>
Line 126: Line 126:
   <td align="center">39.058</td>
   <td align="center">39.058</td>
   <td align="center"><math>q_\mathrm{max}</math></td>
   <td align="center"><math>q_\mathrm{max}</math></td>
   <td align="left" cellpadding="5"><font size="-1">Purple circular marker in Fig. 2</font></td>
   <td align="left" cellpadding="5"><font size="-1">Purple circular marker in Figs. 2, 4, &amp; 5</font></td>
</tr>
</tr>
</table>
</table>

Revision as of 11:07, 21 August 2021

Broader Examination of Bipolytrope Stability

Our
Broader
Analysis

Overview

file = Dropbox/WorkFolder/Wiki edits/EmbeddedPolytropes/CombinedSequences.xlsx --- worksheet = EqSeqCombined2
file = Dropbox/WorkFolder/Wiki edits/EmbeddedPolytropes/CombinedSequences.xlsx --- worksheet = EqSeqCombined2
Figure 1:  Equilibrium Sequences
of Pressure-Truncated Polytropes

Equilibrium sequences of Pressure-Truncated Polytropes

We expect the content of this chapter — which examines the relative stability of bipolytropes — to parallel in many ways the content of an accompanying chapter in which we have successfully analyzed the relative stability of pressure-truncated polytopes. Figure 1, shown here on the right, has been copied from a closely related discussion. The curves show the mass-radius relationship for pressure-truncated model sequences having a variety of polytropic indexes, as labeled, over the range 1n6. (Another version of this figure includes the isothermal sequence.) On each sequence for which n3, the green filled circle identifies the model with the largest mass. We have shown analytically that the oscillation frequency of the fundamental-mode of radial oscillation is precisely zero for each one of these maximum-mass models. As a consequence, we know that each green circular marker identifies the point along its associated sequence that separates dynamically stable (larger radii) from dynamically unstable (smaller radii) models.


In each case, the fundamental-mode oscillation frequency is precisely zero if, and only if, the adiabatic index governing expansions/contractions is related to the underlying structural polytropic index via the relation, γg=(n+1)/n, and if a constant surface-pressure boundary condition is imposed.



In another accompanying chapter, we have used purely analytic techniques to construct equilibrium sequences of spherically symmetric bipolytropes that have, (nc,ne)=(5,1). For a given choice of μe/μc — the ratio of the mean-molecular weight of envelope material to the mean-molecular weight of material in the core — a physically relevant sequence of models can be constructed by steadily increasing the value of the dimensionless radius at the core/envelope interface, ξi, from zero to infinity. Figure 2, whose content is essentially the same as Figure 1 of this separate chapter, shows how the fractional core mass, νMcore/Mtot, varies with the fractional core radius, qrcore/R, along sequences having seven different values of μe/μc, as labeled: 1 (black), ½ (dark blue), 0.345 (brown), ⅓ (dark green), 0.316943 (purple), 0.309 (orange), and ¼ (light blue).

When modeling bipolytropes, the default expectation is that an increase in ξi along a given sequence will correspond to an increase in the relative size — both the radius and the mass — of the core. This expectation is realized along the Figure 2 sequences that have the largest mean-molecular weight ratios: μe/μc = 1 and ½. But the behavior is different along the other five illustrated sequences. For sufficiently large ξi, the relative radius of the core begins to decrease; along each sequence, a solid purple circular marker identifies the location of this turning point in radius. Furthermore, along sequences for which μe/μc<13, eventually the fractional mass of the core reaches a maximum and, thereafter, decreases even as the value of ξi continues to increase; a solid green circular marker identifies the location of this maximum mass turning point along each of these sequences. (Additional properties of these equilibrium sequences are discussed in yet another accompanying chapter.)

The principal question is: Along bipolytropic sequences, are maximum-mass models associated with the onset of dynamical instabilities?

Planned Approach

Figure 2: Equilibrium Sequences of Bipolytropes
with (nc,ne)=(5,1) and Various μe/μc

Ideally we would like to answer the just-stated "principal question" using purely analytic techniques. But, to date, we have been unable to fully address the relevant issues analytically, even in what would be expected to be the simplest case:   bipolytropic models that have (nc,ne)=(0,0). Instead, we will streamline the investigation a bit and proceed — at least initially — using a blend of techniques. We will investigate the relative stability of bipolytropic models having (nc,ne)=(5,1) whose equilibrium structures are completely defined analytically; then the eigenvectors describing radial modes of oscillation will be determined, one at a time, by solving the relevant LAWE(s) numerically. We are optimistic that this can be successfully accomplished because we have had experience numerically integrating the LAWE that governs the oscillation of:

A key reference throughout this investigation will be the paper by J. O. Murphy & R. Fiedler (1985b, Proc. Astr. Soc. of Australia, 6, 222). They studied Radial Pulsations and Vibrational Stability of a Sequence of Two Zone Polytropic Stellar Models. Specifically, their underlying equilibrium models were bipolytropes that have (nc,ne)=(1,5). In an accompanying chapter, we describe in detail how Murphy & Fiedler obtained these equilibrium bipolytropic structures and detail some of their equilibrium properties.

Here are the steps we initially plan to take:

  • Governing LAWEs:
  • Determine what surface boundary condition should be imposed on physically relevant LAWE solutions, i.e., on the physically relevant radial-oscillation eigenvectors.
  • Initial Analysis:
    • Choose a maximum-mass model along the bipolytropic sequence that has, for example, μe/μc=1/4. Hopefully, we will be able to identify precisely (analytically) where this maximum-mass model lies along the sequence. Yes! Our earlier analysis does provide an analytic prescription of the model that sits at the maximum-mass location along the chosen sequence.
    • Solve the relevant eigenvalue problem for this specific model, initially for (γc,γe)=(6/5,2) and initially for the fundamental mode of oscillation.

Summary of (Inadequate) Detailed Analyses

Key Models Along the μe/μc=1/4 Equilibrium Sequence
ξi q ν R* Mtot* Significance Figure Marker
4.9379 0.0482 0.1394 40.945 43.437 νmax Dark-green circular marker in Figs. 2, 4, & 5
2.766 0.1189 0.1107 16.13 39.14 (inadequate) LAWE analysis Orange triangular marker in Figs. 3, 4, & 5
2.2805 0.1246 0.0931 12.648 38.970 Mtot*|min Light-blue diamond marker in Figs. 4 & 5
1.9139 0.1265 0.0749 10.452 39.058 qmax Purple circular marker in Figs. 2, 4, & 5

Attempts to Identify Marginally Unstable (nc, ne) = (5, 1) Bipolytropes

Figure 3:  Conflicting Instability Regions
Conflicting Instability Regions
  • Virial Analysis
  • Solving the Relevant LAWE:
  • K-BK74 Conjecture
    Through this analysis, we were quite successful at generating a reasonably shaped radial-oscillation eigenfunction for the equilibrium model that lies along the sequence at the maximum mass fraction, νmax. We obtained the eigenfunction by subtracting the structural profile of one model (immediately to the left of this maximum) from the structural profile of a separate model (immediately to the right of this maximum). But, after doing so, we realized that the result could not be physically justified. Although we had been careful to ensure that the core mass fraction (ν) was identical in the two separate models, we had not paid attention to the total mass; it had not been held fixed. Hence, we cannot claim to have performed a valid dynamical perturbation of models in the vicinity of νmax.
     
    The eigenfunction that was constructed in this manner was nevertheless eye-opening! It appears to contain a sizable step function at the interface; that is to say, it appears as though the radial-displacement function at the surface of the core is offset (discontinuously) from the radial-displacement function at the base of the envelope. We had not allowed this to happen in our separate investigation of Radial Oscillations of 51 Models.

We will attempt to incorporate these new insights into our analyses that follow.  

Rethink Evolution and Stability

Figure 4:   Mass vs. Radius Figure 5:   ν vs. q
Mass versus Radius m_e = 0.93
Mass versus Radius m_e = 0.93
Mass versus Radius m_e = 0.93
Mass versus Radius m_e = 0.93

Consider a system that has m3=(3μe/μc)=0.75 and that slowly evolves along the appropriate (light blue), m3= constant equilibrium sequence shown in Figure 3. It begins its evolution with a very small core — that is, with ξi nearly zero, and with q and ν both very small. The location of the core-envelope interface, ξi, moves slowly outward (in Lagrangian mass space) as the ashes left from hydrogen burning build up the mass of the core at the expense of the envelope. This means that (slow) evolution proceeds along the qν equilibrium sequence in a counter-clockwise direction.

Schwarzschild and his collaborators noticed that, as an evolution proceeds along an equilibrium sequence for which (in our example case) m31, the fractional core mass increases only up to a limiting value, νmax; in our case, νmax0.139. As the core-envelope interface location, ξi, attempts to increase to a value larger than the value associated with the model at νmax, something rather drastic must happen — at least on a secular time scale associated with nuclear burning. We have wondered whether a dynamical instability is also encountered at this "turning point" along the equilibrium sequence. Up to now, all of our (inadequate) detailed analyses have been focused on securing an answer to this question.

As Figure 4 illustrates, along this same sequence, the normalized radius (R*) starts off small and it steadily grows as the evolution proceeds, but the normalized total mass (Mtot*) starts off large and initially decreases. In reality, we expect the system to conserve its total mass throughout the evolution. Given that the mass has been normalized via the expression,

Mtot*=Mtot[G3/2ρc1/5Kc3/2],

we appreciate that a decrease in the dimensionless mass (as depicted in Fig. 4) can quite naturally be attributed to a steady increase in the specific entropy of the core material, Kc. This evolution along the equilibrium sequence will happen on a secular, rather than dynamical, time scale that is set by the rate at which Kc increases — that is, at a rate set by nuclear burning. But at each point along the sequence, we can check to see whether the equilibrium configuration is dynamically stable. We expect that the turning point along the M*(R*) sequence is an indication of transition from a (dynamically) stable to (dynamically) unstable state. We should be able to apply the B-KB74 conjecture to get a good idea of what the unstable eigenfunction looks like at this turning point.

Differentiate M* With Respect to ℓi

In an accompanying discussion titled, New Derivation, we examined how the core mass-fraction (ν) varies with iξi/3. Here, we want to examine how the total mass (Mtot*) varies with i. In what follows, we borrow heavily from various analytic expressions that have been obtained via this separate New Derivation; and, as in this earlier analysis, numerical evaluations (in parentheses) come from Example #1 for which, μe/μc=0.25 and ξi=0.5, which implies that m3=0.75 and i=(12)1/2.

Mtot*

=

(μeμc)2(2π)1/2[ηs2θi(dϕdη)s]

 

=

(μeμc)2(2π)1/2[Aηsθi]=40.09338625,

where,

θi

=

(1+i2)1/2=0.960768923,

ηi

=

m3i(1+i2)=0.199852016,

Λi

=

1m3i[1+(1m3)i2]=4963=4.715027199,

ηs

=

(π2+tan1Λi)+m3i(1+i2)=3.132453649,

A

=

ηi(1+Λi2)1/2=m3i(1+i2){1+1m32i2[1+(1m3)i2]2}1/2=0.963267676.

Now, the differentiation:

dθidi

=

i(1+i2)3/2=12(13)3/2=0.256015475(7);

dΛidi

=

2(1m3)im3i1m3i2[1+(1m3)i2]=1m3i2{2(1m3)i2[1+(1m3)i2]}

 

=

483{1244948}=473=15.66666666;

dηsdi

=

ddi[m3i(1+i2)]+ddi(tan1Λi)=[m3(1+i2)][2m3i2(1+i2)2]+[1+Λi2]1dΛidi

 

=

913232132+[25092233]1(473)=1132{913232[22321347193]}=32132193{11193221347}=0.088573443

 

=

[m3(1+i2)][2m3i2(1+i2)2]+{[1+(1m3)i2]2+m32i2}1{2m3(1m3)i2m3[1+(1m3)i2]};

dAdi

=

(1+Λi2)1/2ddi[m3i(1+i2)]+[m3i(1+i2)]ddi(1+Λi2)1/2

 

=

(1+Λi2)1/2[m3(1+i2)2m3i2(1+i2)2]+[m3i(1+i2)]Λi(1+Λi2)1/2dΛidi=4.819904715(4)[0.585798817(5)]+0.195503386(6)(473)=0.239391902

 

=

(131932233)1/2[3213232]1132+49233/2[3213]1231/2(223313193)1/2(473)

 

=

(311219322133)1/2(37447222133193)1/2=31/22133/21931/2[111937247]=[223552133193]1/2=0.239391901

 

=

1(1+Λi2)1/2{(1+Λi2)[m3(1+i2)2m3i2(1+i2)2]+Λii[1(1+i2)][2(1m3)i2[1+(1m3)i2]]}.

Hence,

(μeμc)2(π2)1/2dMtot*di

=

ddi[Aηsθi]

 

=

ηsθidAdi+AθidηsdiAηsθi2dθidi

 

[(3.132453649)(0.960768923)]0.239391901[(0.963267676)(0.960768923)]0.088573443+[(0.963267676)(3.132453649)(0.960768923)2]0.256015475

 

0.78050(8)0.088803+0.836874=0.032426.

See Also


Tiled Menu

Appendices: | VisTrailsEquations | VisTrailsVariables | References | Ramblings | VisTrailsImages | myphys.lsu | ADS |