SSC/Stability/BiPolytropes

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Organizational Index[edit]


Part I:   The Search
 

Part II:  Review of MF85b
 

III:  (5,1) Radial Oscillations
 

IV:  Reconciliation
 

    These four chapters, labeled Parts I - IV, are segments of the much longer chapter titled, SSC/Stability/BiPolytropes/PlannedApproach. An accompanying organizational index has helped us write this chapter succinctly.

In Search of Marginally Unstable (nc,ne) = (5,1) Bipolytropes[edit]

Overview[edit]

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.

Key Realization: Along sequences of pressure-truncated polytropes, the maximum-mass models identify precisely where the onset of dynamical instability occurs.



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. In Figure 2, a solid green circular marker identifies the location of this maximum mass turning point along each of these sequences; the analytically determined values of ξi,q and ν that are associated with each of these turning points are provided in the table adjacent to Figure 2. (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?


Figure 2: Equilibrium Sequences of Bipolytropes

with (nc,ne)=(5,1) and Various μe/μc

Analytically Determined Parameters
for Models that have the Maximum Fractional Core Mass
(solid green circular markers)
Along Various Equilibrium Sequences

Extrema along Various Equilibrium Sequences

μeμc

ξi

qrcoreR

νMcoreMtot

13

0.0 2π

0.33

24.00496 0.038378833 0.52024552

0.316943

10.744571 0.068652714 0.382383875

0.31

9.014959766 0.0755022550 0.3372170064

0.3090

8.8301772 0.076265588 0.331475715

14

4.9379256 0.084824137 0.139370157

Additional model parameters can be found here.

Planned Approach(es)[edit]

In an effort to answer the principal question posed above, we have pursued each stability-analysis approach described in the introductory section of 📚 G. S. Bisnovatyi-Kogan & S. I. Blinnikov (1974, Astron. & Astrophy., Vol. 31, pp. 391 - 404).

"Three different approaches are used in the study of the hydrodynamical stability of stars and other gravitating objects …"  

  • "The first approach is based on the use of the equations of small oscillations. In that case the problem is reduced to a search for the solution of the boundary-value problem of the Stourme-Liuville type for the linearised system of equations of small oscillations. The solutions consist of a set of eigenfrequencies and eigenfunctions."
  • Second, one can derive "a variational principle from the equations of small oscillations … With the aid of the variational principle, the problem is reduced to the search of the best trial functions; this leads to approximate eigenvalues of oscillations. In spite of the simplifications introduced by the use of the variational principle and by not solving the equations of motion exactly, the problem still remains complicated …"
  • The third approach is what we usually refer to as a free-energy — and associated virial theorem — analysis. "When this method is used, it is not necessary to use the equations of small oscillations but, instead, the functional expression for the total energy of the momentarily stationary (but not necessarily in equilibrium) star is sufficient. The condition that the first variation of the energy vanishes, determines the state of equilibrium of the star and the positiveness of a second variation indicates stability."

"If one wants to know from a stability analysis the answer to only one question — whether the model is stable or not — then the most straightforward procedure is to use the third, static method … For the application of this method, one needs to construct only equilibrium, stationary models, with no further calculation."

"Generally the static analysis gives no information about the shape of the modes of oscillation, but, in the vicinity of critical points, where instability sets in, this method makes it possible to find the eigenfunction of the mode which becomes unstable at the critical point."

— Drawn from pp. 391 - 392 of 📚 Bisnovatyi-Kogan & Blinnikov (1974)

Supplemental Chapters[edit]

  1. Contains Displacement Functions Summary
  2. Earlier Planned Approach
  3. Headscratching
  4. Succinct Discussions
  5. 51Models

Equilibrium Models[edit]

The original text contained in this section has been commented out.

Third Approach: Free-Energy Analysis[edit]

Old Material[edit]

Virial Stability01

The following set of menu tiles include links to chapters where this approach has been applied to: (a) uniform-density configurations, (b) pressure-truncated isothermal spheres, (c) an isolated n = 3 polytrope, (d) pressure-truncated n = 5 configurations, and (e) bipolytropes having (nc,ne)=(1,5).

One menu tile, below, links to a chapter in which an analytic (exact) demonstration of the variational principle's utility is provided in the context pressure-truncated n = 5 polytropes.

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. Astron. Soc. Australia, Vol. 6, no. 2, pp. 222 - 226). 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 (1985b) 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.

New Material[edit]

Drawing from our accompanying detailed discussion — see also an accompanying summary — the normalized free-energy associated with each of our spherically symmetric, bipolytropic configurations is given by the expression,

𝔤𝔊Enorm

=

(χeqχ)𝔴+[23(γc1)](χχeq)33γc𝔰core+[23(γe1)](χχeq)33γe𝔰env,

where: χeq is the dimensionless radius of the configuration when it is in equilibrium; 𝔰core and 𝔰env are the appropriately normalized thermal energy content of the n=5 core and of the n=1 envelope, respectively, in the configuration's equilibrium state; and 𝔴 is the absolute value of the normalized total gravitational potential energy of the equilibrium configuration. For every (nc,ne)=(5,1) bipolytropic model, the values of these four terms can be obtained via our derived analytic expressions. And the value of 𝔤 in an equilibrium state is obtained by setting the configuration's dimensionless radius, χ, equal to χeq.

This expression for 𝔤 has been written in such a way that we can readily assess how the free energy varies while the configuration undergoes homologous (𝔰core,𝔰env,𝔴 all held fixed) expansion/contraction χχeq about its equilibrium state. Specifically the first variation is,

d𝔤dχ

=

+(χeqχ2)𝔴2χeq[(χχeq)23γc𝔰core+(χχeq)23γe𝔰env];

and the second variation is,

d2𝔤dχ2

=

2(χeqχ3)𝔴2χeq2[(23γc)(χχeq)13γc𝔰core+(23γe)(χχeq)13γe𝔰env] .

The condition that the first variation of the energy vanishes, determines the state of equilibrium of the star and the positiveness of a second variation indicates stability.

Virial Analysis[edit]

In an accompanying chapter we have examined the viral stability of (nc,ne)=(5,1) bipolytropes — see also an associated discussion of the free-energy of these configurations. We present, here, an overview of this separate discussion in an effort to provide a broader perspective to the focus of this current chapter.

Various Energy Expressions[edit]

Drawing from our accompanying detailed discussion, we have,

𝔊

=

Wgrav|core+𝔖A|core+Wgrav|env+𝔖A|env

 

=

Wgrav|core+[23(γc1)]Score+Wgrav|env+[23(γe1)]Senv.

Recognizing that,

q

riR=ηiηs,

ν

McoreMtot,

ξ3,

χeq

=

(π2336)1/2(νq3)2(1+i2)3(qi)5,

we have,

χ[WgravEnorm]core

=

[(324)(qi)5(νq3)2(1+i2)3]eq[i(i483i21)(i2+1)3+tan1i]

[WgravEnorm]core

=

χeqχ(3825π)1/2[i(i483i21)(i2+1)3+tan1i].

Next, given that,

bη=ηs

       and       

bηq=ηi=3(μeμc)i(1+i2)1,

we have,

[WgravEnorm]env

=

χeqχ(μeμc)3(123π)1/2A2[6bηx3sin[2(bηxB)]4bηxsin2(bηxB)]q1

 

=

χeqχ(μeμc)3(123π)1/2A2{[6ηs3sin[2(ηsB)]4ηssin2(ηsB)][6ηi3sin[2(ηiB)]4ηisin2(ηiB)]}.

Also, given that,

qaξ1/2

=

ξi3,

we have,

(𝔖AEnorm)core

=

23(γc1)(χχeq)33γc{(3827π)1/2[tan1[aξ1/2q]aξ1/2q(1aξq2)(1+aξq2)2]}

 

=

23(γc1)(χχeq)33γc{(3827π)1/2[tan1(ξi3)(ξi3)(1ξi2/3)(1+ξi2/3)2]}

Finally, then, we can write,

(𝔖AEnorm)env

=

23(γe1)(χχeq)33γe{(μeμc)3A2(3225π)1/2[2bηxsin[2(bηxB)]]q1}

 

=

23(γe1)(χχeq)33γe(μeμc)3A2(3225π)1/2{[2ηssin[2(ηsB)]][2ηisin[2(ηiB)]]} .

Free Energy and Its Derivatives[edit]

We can now rewrite the free-energy expression in the form,

𝔤𝔊Enorm

=

(χeqχ)𝔴+[23(γc1)](χχeq)33γc𝔰core+[23(γe1)](χχeq)33γe𝔰env,

where,

𝔰core

(3827π)1/2[tan1(ξi3)(ξi3)(1ξi2/3)(1+ξi2/3)2],

𝔰env

(μeμc)3A2(3225π)1/2{[2ηssin[2(ηsB)]][2ηisin[2(ηiB)]]},

𝔴

(3825π)1/2[i(i483i21)(i2+1)3+tan1i]

 

 

+(μeμc)3(123π)1/2A2{[6ηs3sin[2(ηsB)]4ηssin2(ηsB)][6ηi3sin[2(ηiB)]4ηisin2(ηiB)]}.

The first derivative is,

d𝔤dχ

=

+(χeqχ2)𝔴2χeq[(χχeq)23γc𝔰core+(χχeq)23γe𝔰env].

And the second derivative is,

d2𝔤dχ2

=

2(χeqχ3)𝔴2χeq2[(23γc)(χχeq)13γc𝔰core+(23γe)(χχeq)13γe𝔰env] .

What to Expect for Equilibrium Configurations[edit]

In equilibrium we should set d𝔤/dχ=0 and χ=χeq. In which case we should expect to find that,

0

=

1χeq[𝔴2(𝔰core+𝔰env)].

In addition, an evaluation of the second derivative should give,

χeq22d2𝔤dχ2

=

𝔴[(23γc)𝔰core+(23γe)𝔰env].

Then, the transition from stable to unstable configurations occurs when d2𝔤/dχ2=0, that is, when,

𝔴

=

[(23γc)𝔰core+(23γe)𝔰env]

0

=

(43γc)𝔰core+(43γe)𝔰env

𝔰core𝔰env

=

(43γe)(43γc).

For example, if we set γc=6/5 and γe=2, this implies,

𝔰core𝔰env

=

2(418/5)=5.


Free-Energy Stability Evaluation[edit]

Here we pull together excerpts from several different H_Book Chapters in which we have presented, from several different perspectives, an analysis of the free-energy of bipolytropes.

  • In one chapter, using purely analytic techniques, we have derived expressions that detail the structural properties of bipolytropes having (nc,ne)=(5,1). Among these are analytic expressions for various terms that make up the free-energy expression: 𝔰core, 𝔰env, 𝔴core, 𝔴core, and PiVcore. Equilibrium model sequences are defined by fixing the ratio, μe/μc, then varying the radial location, ri, of the core-envelope interface; note that the volume of the core is, then, Vcore4πri3/3.
  • [Virial Equilibrium] In a subsection of this same chapter titled, Equilibrium Condition: Global, we have shown that a statement of virial equilibrium — obtained by setting the first derivative of the free-energy expression to zero — is,

    (2S+W)tot=2(Score+Senv)+(Wcore+Wenv)

    =

    0.

    In another subsection of this same chapter titled, Equilibrium Condition: In Parts, we showed that for each bipolytropic equilibrium structure, the statements

    2Score+Wcore=3PiVcore

        and    

    2Senv+Wenv=3PiVcore,

    also hold separately. Therefore, for every equilibrium configuration we should expect the CASE1 expression (see Table XXX) to precisely sum to unity.
  • [Marginally Unstable Model] Near the bottom of this same chapter, in a subsection titled, Stability Condition, we point out that the model along each sequence that is marginally (dynamically) unstable — obtained setting the second derivative of the free-energy expression to zero — is identified by the configuration for which,

    2(γeγc)𝔰core+(𝔴core+𝔴env)(γe43)

    =

    0.

    Therefore, along each equilibrium sequence, the marginally unstable model can be identified by the configuration for which the CASE2 expression (see Table XXX) precisely sums to zero. Immediately above, in a subsection titled, What to Expect for Equilibrium Configurations, we have shown that this same marginally unstable model can be identified by the configuration for which the CASE3 energy ratio, 𝔰core/𝔰env, has a value that is precisely 5. And, thirdly, as highlighted in our accompanying Tabular Overview, this same marginally unstable model can be identified by the configuration for which the CASE4 expression precisely sums to zero.


Table XXX: Properties of Marginally Unstable Bipolytropes Having

(nc,ne)=(5,1) and (γc,γe)=(65,2)

Determined from Free-Energy Arguments

μeμc ξi Rsurf* qrcoreRsurf νMcoreMtot ρcρ¯ Pi 𝔰core 𝔴core 𝔰env 𝔴env 3PiVcore CASE1 CASE2 CASE3 CASE4
1 2.41610822 2.8049 0.59520261 0.68306067 16.3788 0.039116848 4.446748782 - 6.606135366 0.889349762 - 4.066061722 2.287362198 1 0 5.0000000 2.1 × 10-8
12 4.1853093 8.8058 0.328419479 0.70131896 354.089 0.003126324 5.76978580 - 10.58931853 1.153956968 - 3.258165567 0.95025163 1 6.3 × 10-8 5.0000002 0
0.345 7.64325 44.116 0.119714454 0.52700045 2.85 × 104 0.000116533 6.230343527 - 12.24495934 1.1246068658 - 2.707865028 0.215727713 1 6.4 × 10-8 5.0000002 0
13 8.548103 59.643 0.099032423 0.47901529 6.30 × 104 6.1337 × 10-5 6.261548334 - 12.36425897 1.252309682 - 2.663457063 0.158837699 1 0 4.9999999 6.0 × 10-8
0.316943 10.7441565 108.14 0.068655205 0.38238387 2.93 × 105 1.6252 × 10-5 6.301810768 - 12.52005323 1.260362204 - 2.604292714 0.083568307 1 0 4.9999998 2.0 × 10-7
0.309 12.77156 166.06 0.053145011 0.31696879 8.70 × 105 5.8905 × 10-6 6.318902171 - 12.58692884 1.26378042 - 2.57843634 0.050875500 1 1.9 × 10-8 5.0000001 0

CASE1

16PiVcore[(2𝔰core+𝔴core)(2𝔰core+𝔴core)]

CASE2

2(γeγc)𝔰core+(𝔴core+𝔴env)(γe43)

CASE3

𝔰core𝔰env

CASE4

(43γc)𝔴core+(43γe)𝔴env+32(γcγe)PiVcore


The left-hand panel of Figure 3 is identical to Figure 2, above. It displays in the qν parameter space, the behavior of (nc,ne)=(5,1) bipolytropic equilibrium sequences that have, as labeled, seven different values of the ratio of mean-molecular-weights, μe/μc. Using a numerical root-finding technique, we have determined where the virial stability condition, 𝔰core/𝔰env=5, is satisfied along each of these sequences — as well as along a number of additional equilibrium sequences. Key properties of each of these identified models have been recorded in Table 1 of an accompanying discussion; see also an associated discussion of the free-energy of these configurations. Pulling from this tabulated data, the solid-red circular markers that appear in the right-hand panel of Figure 3 identify where this virial stability condition is satisfied along the separate equilibrium sequences while the accompanying dashed red curve identifies more broadly how the qν parameter space is divided into stable (below and to the right) versus unstable (above and to the left) regions.

Figure 3

dynamical stability in qNu plane

In what follows we use a complementary — and more quantitatively rigorous — approach to evaluating the stability of equilibrium models, and contrast the results of that analysis with the virial-analysis results presented graphically here in Figure 3.

See Also[edit]


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