SSC/StabilityConjecture/Bipolytrope51

Examine B-KB74 Conjecture in the Context of $(n_c,n_e)=(5,1)$ Bipolytropes

B-KB74 Conjecture RE: Bipolytrope (nc, ne) = (5, 1)

In §6 of their paper, G. S. Bisnovatyi-Kogan & S. I. Blinnikov (1974; hereafter, B-KB74) have suggested that "… a static configuration close to an extremum of the [mass-radius equilibrium] curve may be considered as a perturbed state of a model of the same mass situated on the other side of the extremum. The difference of the two models approximately represents the eigenfunction of the neutral mode." In an accompanying discussion we have demonstrated that this "B-KB74 conjecture" applies exactly in the context of an analysis of the stability of pressure-truncated, n = 5 polytropes. We know that it applies exactly in this case because, along the n = 5 mass-radius sequence, the eigenfunction of the fundamental mode of radial oscillation is known analytically.

Here we turn to the B-KB74 conjecture to assist us in examining the stability of models that lie along the sequence of bipolytropes with $(n_c,n_e)=(5,1)$. As Eggleton, Faulkner, and Cannon (1998, MNRAS, 298, 831) discovered — and we have independently detailed — the internal structure of these bipolytropes can be defined analytically. But, as far as we have been able to determine, nothing is known about the eigenvectors describing their natural modes of radial oscillation. Guided by the B-KB74 conjecture, we hope to be able to determine the eigenfunction of the fundamental mode of radial oscillation for the model that sits at the maximum-mass "turning point" along each sequence; our expectation is that each of these models is marginally [dynamically] unstable.

Properties of Equilibrium Models

Figure 1

Bipolytropic (5, 1) Equilibrium Sequences

Drawing from our accompanying detailed discussion, Figure 1 shows how the fractional core mass, $\nu \equiv M_{\mathrm{c}\mathrm{o}\mathrm{r}\mathrm{e}}/M_{\mathrm{t}\mathrm{o}\mathrm{t}}$ varies with the fractional core radius, $q\equiv r_{\mathrm{c}\mathrm{o}\mathrm{r}\mathrm{e}}/r_{\mathrm{t}\mathrm{o}\mathrm{t}}$, for seven equilibrium model sequences of bipolytropes having $(n_c,n_e)=(5,1)$. Along each sequence, the value of the radial location of the interface, ${\xi }_i$, varies while the mean-molecular-weight ratio at the interface, $({\mu }_e/{\mu }_c{)}_i\le 1$, is held fixed at the value that labels the sequence. A green circular marker has been placed at the maximum-mass "turning point" of each sequence for which $({\mu }_e/{\mu }_c{)}_i\le \frac{1}{3}$; no such point exists along sequences having $\frac{1}{3}<({\mu }_e/{\mu }_c{)}_i\le 1$.

Original Manipulations

As has been shown in our accompanying discussion, the value of ${\xi }_i$ at which the maximum-mass turning point resides along each sequence is given by a root of the analytic expression,

$(\frac{\pi }{2}+{\tan }^{-1}{\mathrm{\Lambda }}_i)(1+{\ell }_i^2)[3+(1-m_3{)}^2(2-{\ell }_i^2){\ell }_i^2]$

$=$

$m_3{\ell }_i[(1-m_3){\ell }_i^4-(m_3^2-m_3+2){\ell }_i^2-3],$

where,

${\ell }_i$	$\equiv$	$\frac{{\xi }_i}{\sqrt{3}},$
$m_3$	$\equiv$	$3\left(\frac{{\mu }_e}{{\mu }_c}\right),$
${\mathrm{\Lambda }}_i$	$\equiv$	$\frac{1}{m_3{\ell }_i}[1+(1-m_3){\ell }_i^2].$

In what follows, we start from scratch and re-derive an analytic expression from which the value of ${\nu }_{\mathrm{m}\mathrm{a}\mathrm{x}}({\mu }_e/{\mu }_c)$ can be obtained. At the conclusion of this "new" derivation, we present a table in which high-precision determinations of ${\nu }_{\mathrm{m}\mathrm{a}\mathrm{x}}$ have been recorded for a range of values of ${\mu }_e/{\mu }_c=m_3/3$. The last column of this table lists "earlier fractional errors" of our determinations via this earlier-derived analytic expression. The tiny errors signal that our more recently derived expression (below) is identical to this earlier expression (immediately above).

New Derivation

Expressions for q and ν

Following through the numbered steps that we have used to construct a bipolytrope with $(n_c,n_e)=(5,1)$, and adopting the substitute notation,

${\ell }_i\equiv \frac{{\xi }_i}{\sqrt{3}};$       and       $m_3\equiv 3\left(\frac{{\mu }_e}{{\mu }_c}\right),$

we seek expressions for $\nu (m_3,{\ell }_i)$ and $q(m_3,{\ell }_i)$. [Example #1 numerical evaluation is for ${\mu }_e/{\mu }_c=0.25$ and ${\xi }_i=0.5$, which implies that $m_3=0.75$ and ${\ell }_i=(12{)}^{-1/2}$.]

Focusing, first, on the core, we find,

${\theta }_i$	$=$	$(1+{\ell }_i^2{)}^{-1/2}=0.960768923$,
$(\frac{d\theta }{d\xi }{)}_i$	$=$	$-\frac{{\ell }_i}{\sqrt{3}}(1+{\ell }_i^2{)}^{-3/2}=-0.147810603$,

$[\frac{G{\rho }_0^{4/5}}{K_c}{]}^{1/2}{r}_{\mathrm{c}\mathrm{o}\mathrm{r}\mathrm{e}}$ $=$ $(\frac{3^2}{2\pi }{)}^{1/2}{\ell }_i=0.345494149$, $[\frac{G^3{\rho }_0^{2/5}}{K_c^3}{]}^{1/2}{M}_{\mathrm{c}\mathrm{o}\mathrm{r}\mathrm{e}}$ $=$ $3^2(\frac{2}{\pi }{)}^{1/2}{\ell }_i^3(1+{\ell }_i^2{)}^{-3/2}=0.153203096$,

Then moving across the interface, through the envelope, and ultimately to the surface of the configuration, we find,

${\eta }_i$	$=$	$m_3{\ell }_i{\theta }_i^2=\frac{m_3{\ell }_i}{(1+{\ell }_i^2)}=0.199852016$,
$(\frac{d\varphi }{d\eta }{)}_i$	$=$	$3^{1/2}{\theta }_i^{-3}(\frac{d\theta }{d\xi }{)}_i=-0.288675135$,
${\mathrm{\Lambda }}_i$	$=$	$\frac{1}{{\eta }_i}+(\frac{d\varphi }{d\eta }{)}_i=\frac{1}{m_3{\theta }_i^2{\ell }_i}-{\ell }_i=\frac{1}{m_3{\ell }_i}[(1+{\ell }_i^2)-m_3{\ell }_i^2]=\frac{1}{m_3{\ell }_i}[1+(1-m_3){\ell }_i^2]=4.715027199,$
${\eta }_s$	$=$	$(\frac{\pi }{2}+{\tan }^{-1}{\mathrm{\Lambda }}_i)+{\eta }_i=(\frac{\pi }{2}+{\tan }^{-1}{\mathrm{\Lambda }}_i)+\frac{m_3{\ell }_i}{(1+{\ell }_i^2)}=3.132453649,$
$B$	$=$	${\eta }_s-\pi =-0.009139005,$
$A$	$=$	${\eta }_i(1+{\mathrm{\Lambda }}_i^2{)}^{1/2}=\frac{m_3{\ell }_i}{(1+{\ell }_i^2)}\{1+\frac{1}{m_3^2{\ell }_i^2}[1+(1-m_3){\ell }_i^2{]}^2{\}}^{1/2}=0.963267676,$
$(\frac{d\varphi }{d\eta }{)}_s$	$=$	$\frac{A}{{\eta }_s^2}[{\eta }_s\cos (\pi )-\sin (\pi )]=-\frac{A}{{\eta }_s}=-0.307512188,$

$[\frac{G{\rho }_0^{4/5}}{K_c}{]}^{1/2}R$ $=$ $(\frac{{\mu }_e}{{\mu }_c}{)}^{-1}{\theta }_i^{-2}(2\pi {)}^{-1/2}{\eta }_s=5.415228878$, $\Rightarrow q\equiv \frac{r_{\mathrm{c}\mathrm{o}\mathrm{r}\mathrm{e}}}{R}$ $=$ $0.063800470$ $[\frac{G^3{\rho }_0^{2/5}}{K_c^3}{]}^{1/2}{M}_{\mathrm{t}\mathrm{o}\mathrm{t}}$ $=$ $\left(\frac{{\mu }_e}{{\mu }_c}{)}^{-2}\right(\frac{2}{\pi }{)}^{1/2}[-\frac{{\eta }_s^2}{{\theta }_i}\cdot (\frac{d\varphi }{d\eta }{)}_s]=40.0934$, $\Rightarrow \nu \equiv \frac{M_{\mathrm{c}\mathrm{o}\mathrm{r}\mathrm{e}}}{M_{\mathrm{t}\mathrm{o}\mathrm{t}}}$ $=$ $0.003821153$

Now, putting all these steps together, we can generate the pair of desired model-parameter expressions:

$q(m_3,{\ell }_i)$	$=$	$\frac{m_3{\ell }_i{\theta }_i^2}{{\eta }_s}=\frac{m_3{\ell }_i}{(1+{\ell }_i^2)}\left\{\right(\frac{\pi }{2}+{\tan }^{-1}{\mathrm{\Lambda }}_i)+\frac{m_3{\ell }_i}{(1+{\ell }_i^2)}{\}}^{-1}=\{[\frac{\pi }{2}+{\tan }^{-1}{\mathrm{\Lambda }}_i]\frac{(1+{\ell }_i^2)}{m_3{\ell }_i}+1{\}}^{-1}=0.063800470.$
$\nu (m_3,{\ell }_i)$	$=$	$\sqrt{3}\left[\frac{{\xi }_i^3{\theta }_i^4}{A{\eta }_s}\right]\frac{m_3^2}{3^2}=\frac{m_3{\ell }_i{\theta }_i^2}{{\eta }_s}\left[\frac{{\xi }_i^2{\theta }_i^2}{A}\right]\frac{m_3}{3}=q{\ell }_i\left[\frac{m_3{\ell }_i}{(1+{\ell }_i^2)A}\right]=q{\ell }_i\{1+\frac{1}{m_3^2{\ell }_i^2}[1+(1-m_3){\ell }_i^2{]}^2{\}}^{-1/2}$
	$=$	$q{m}_3{\ell }_i^2\{m_3^2{\ell }_i^2+[1+(1-m_3){\ell }_i^2{]}^2{\}}^{-1/2}=(0.059892291)q=0.00382116.$

Let's fully spell out the final $\nu (m_3,{\ell }_i)$ function by incorporating the "q" function:

$\nu (m_3,{\ell }_i)$

$=$

$m_3^2{\ell }_i^3\{m_3^2{\ell }_i^2+[1+(1-m_3){\ell }_i^2{]}^2{\}}^{-1/2}\left\{\right[\frac{\pi }{2}+{\tan }^{-1}{\mathrm{\Lambda }}_i](1+{\ell }_i^2)+m_3{\ell }_i{\}}^{-1}=0.003821156,$

where,

${\mathrm{\Lambda }}_i$

$=$

$\frac{1}{m_3{\ell }_i}[1+(1-m_3){\ell }_i^2]=4.715027198.$

For later use, note that,

$m_3^2{\ell }_i^2(1+{\mathrm{\Lambda }}_i^2)$	$=$	$[1+(1-m_3){\ell }_i^2{]}^2+m_3^2{\ell }_i^2$
$\Rightarrow \frac{1}{(1+{\mathrm{\Lambda }}_i^2)}$	$=$	$m_3^2{\ell }_i^2\{[1+(1-m_3){\ell }_i^2{]}^2+m_3^2{\ell }_i^2{\}}^{-1}.$

Differentiate ν with Respect to ℓ_I

In order to determine the maximum value of the fractional core mass, we next need to determine the derivative of $\nu$ with respect to ${\ell }_i$. [Example #2: Borrowing from Table 1, above, in this case our numerical evaluation is for ${\mu }_e/{\mu }_c=0.25$ and ${\xi }_i=4.93827$, for which the expected maximum mass-fraction is, ${\nu }_{\mathrm{m}\mathrm{a}\mathrm{x}}=0.1394$. This implies that $m_3=0.75$ and ${\ell }_i=2.85111$.]

Let's rewrite the function as,

$\nu$

$=$

$\frac{m_3^2{\ell }_i^3}{F^{1/2}\cdot H}=0.139370157(8),$

where,

${\mathrm{\Lambda }}_i$	$=$	$\frac{1}{m_3{\ell }_i}[1+(1-m_3){\ell }_i^2]=1.418024375(7),$
$F$	$\equiv$	$m_3^2{\ell }_i^2+[1+(1-m_3){\ell }_i^2{]}^2=13.76676346(4),$
$H$	$\equiv$	$[\frac{\pi }{2}+{\tan }^{-1}{\mathrm{\Lambda }}_i](1+{\ell }_i^2)+m_3{\ell }_i=25.21038191(5).$
NOTE:  $q$	$=$	$\frac{m_3{\ell }_i}{H}=0.084820.$

Then we have,

$\frac{1}{m_3^2}\cdot \frac{d\nu }{d{\ell }_i}$	$=$	$\frac{3{\ell }_i^2}{F^{1/2}\cdot H}-\frac{1}{2}\left[\frac{{\ell }_i^3}{F^{3/2}\cdot H}\right]\frac{dF}{d{\ell }_i}-\left[\frac{{\ell }_i^3}{F^{1/2}\cdot H^2}\right]\frac{dH}{d{\ell }_i}$
	$=$	$\frac{{\ell }_i^2}{F^{3/2}\cdot H^2}\{3FH-\frac{{\ell }_{i}H}{2}\cdot \frac{dF}{d{\ell }_i}-{\ell }_{i}F\cdot \frac{dH}{d{\ell }_i}\}.$
	$=$	$\frac{{\ell }_i^2}{F^{3/2}\cdot H^2}\{1041.196093-425.9706908-615.2543231\}=\frac{{\ell }_i^2}{F^{3/2}\cdot H^2}\{-0.028921\}.$     EXCELLENT!

Furthermore,

$\frac{dF}{d{\ell }_i}$

$=$

$2m_3^2{\ell }_i+4[1+(1-m_3){\ell }_i^2](1-m_3){\ell }_i=11.85266706(6),$

and,

$\frac{dH}{d{\ell }_i}$

$=$

$(1+{\ell }_i^2)\frac{d}{d{\ell }_i}\left({\tan }^{-1}{\mathrm{\Lambda }}_i\right)+2{\ell }_i[\frac{\pi }{2}+{\tan }^{-1}{\mathrm{\Lambda }}_i]+m_3=15.67503863(9),$

and,

$\frac{d}{d{\ell }_i}\left({\tan }^{-1}{\mathrm{\Lambda }}_i\right)$	$=$	$\left[\frac{1}{1+{\mathrm{\Lambda }}_i^2}\right]\frac{d{\mathrm{\Lambda }}_i}{d{\ell }_i}=\left[\frac{1}{1+{\mathrm{\Lambda }}_i^2}\right]\frac{d}{d{\ell }_i}\left\{\frac{1}{m_3{\ell }_i}\right[1+(1-m_3){\ell }_i^2\left]\right\}$
	$=$	$\left\{\frac{m_3^2{\ell }_i^2}{[1+(1-m_3){\ell }_i^2{]}^2+m_3^2{\ell }_i^2}\right\}\{-\frac{1}{m_3{\ell }_i^2}[1+(1-m_3){\ell }_i^2]+\frac{2(1-m_3){\ell }_i}{m_3{\ell }_i}\}$
	$=$	$\{[1+(1-m_3){\ell }_i^2{]}^2+m_3^2{\ell }_i^2{\}}^{-1}\{2m_3(1-m_3){\ell }_i^2-m_3[1+(1-m_3){\ell }_i^2]\}=0.056233763(8).$

Now, along an equilibrium sequence of fixed $m_3$, the point of maximum core mass is located at the point where,

$\frac{d\nu }{d{\ell }_i}$	$=$	$0$
$\Rightarrow 0$	$=$	$\frac{{\ell }_i^2}{F^{3/2}\cdot H^2}\{3FH-\frac{{\ell }_{i}H}{2}\cdot \frac{dF}{d{\ell }_i}-{\ell }_{i}F\cdot \frac{dH}{d{\ell }_i}\}$
$\Rightarrow 0$	$=$	$H\{3F-\frac{{\ell }_i}{2}\cdot \frac{dF}{d{\ell }_i}\}-{\ell }_{i}F\cdot \frac{dH}{d{\ell }_i}$
$$	$=$	$1041.196093-425.9706908-615.2543231=-0.0289209$
	$=$	$\left\{\right[\frac{\pi }{2}+{\tan }^{-1}{\mathrm{\Lambda }}_i](1+{\ell }_i^2)+m_3{\ell }_i\}\{3F-{\ell }_i[m_3^2{\ell }_i+2[1+(1-m_3){\ell }_i^2](1-m_3){\ell }_i\left]\right\}$
		$-{\ell }_{i}F\{(1+{\ell }_i^2)\frac{d}{d{\ell }_i}({\tan }^{-1}{\mathrm{\Lambda }}_i)+2{\ell }_i[\frac{\pi }{2}+{\tan }^{-1}{\mathrm{\Lambda }}_i]+m_3\}$
	$=$	$\left\{\right[\frac{\pi }{2}+{\tan }^{-1}{\mathrm{\Lambda }}_i](1+{\ell }_i^2)\}\{3F-{\ell }_i[m_3^2{\ell }_i+2[1+(1-m_3){\ell }_i^2](1-m_3){\ell }_i\left]\right\}-2{\ell }_i^{2}F[\frac{\pi }{2}+{\tan }^{-1}{\mathrm{\Lambda }}_i]$
		$-m_3{\ell }_{i}F+m_3{\ell }_i\{3F-{\ell }_i[m_3^2{\ell }_i+2[1+(1-m_3){\ell }_i^2](1-m_3){\ell }_i\left]\right\}-{\ell }_{i}F(1+{\ell }_i^2)\frac{d}{d{\ell }_i}\left({\tan }^{-1}{\mathrm{\Lambda }}_i\right)$
	$=$	$[\frac{\pi }{2}+{\tan }^{-1}{\mathrm{\Lambda }}_i]\{3F(1+{\ell }_i^2)-2{\ell }_i^{2}F-m_3^2{\ell }_i\cdot {\ell }_i(1+{\ell }_i^2)-2[1+(1-m_3){\ell }_i^2](1-m_3){\ell }_i^2(1+{\ell }_i^2)\}$
		$+3F{m}_3{\ell }_i-m_3{\ell }_{i}F-{\ell }_{i}F(1+{\ell }_i^2)\frac{d}{d{\ell }_i}\left({\tan }^{-1}{\mathrm{\Lambda }}_i\right)-m_3{\ell }_i^2[m_3^2{\ell }_i+2[1+(1-m_3){\ell }_i^2](1-m_3){\ell }_i]$
	$=$	$[\frac{\pi }{2}+{\tan }^{-1}{\mathrm{\Lambda }}_i]\{F(3+{\ell }_i^2)-m_3^2{\ell }_i^2(1+{\ell }_i^2)-2[1+(1-m_3){\ell }_i^2](1-m_3){\ell }_i^2(1+{\ell }_i^2)\}$
		$+2F{m}_3{\ell }_i-{\ell }_{i}F(1+{\ell }_i^2)\frac{d}{d{\ell }_i}\left({\tan }^{-1}{\mathrm{\Lambda }}_i\right)-m_3{\ell }_i^2[m_3^2{\ell }_i+2[1+(1-m_3){\ell }_i^2](1-m_3){\ell }_i].$
	$=$	$2.527380938\{111.4667252-112.5053101\}+38.72662783-36.13064883=-2.624899679+2.595979=-0.028920679.$     EXCELLENT!

Hence,

$20.14923887$	$=$	$-2.624899679+22.74521787$
${\ell }_{i}F(1+{\ell }_i^2)\frac{d}{d{\ell }_i}\left({\tan }^{-1}{\mathrm{\Lambda }}_i\right)$	$=$	$[\frac{\pi }{2}+{\tan }^{-1}{\mathrm{\Lambda }}_i]\{F(3+{\ell }_i^2)-{\ell }_i^2(1+{\ell }_i^2)[m_3^2+2(1-m_3)+2(1-m_3{)}^2{\ell }_i^2]\}$
		$+2F{m}_3{\ell }_i-m_3{\ell }_i^3[m_3^2+2(1-m_3)+2(1-m_3{)}^2{\ell }_i^2]$
$\Rightarrow {\ell }_{i}F(1+{\ell }_i^2)\{[1+(1-m_3){\ell }_i^2{]}^2+m_3^2{\ell }_i^2{\}}^{-1}\{2m_3(1-m_3){\ell }_i^2-m_3[1+(1-m_3){\ell }_i^2]\}$	$=$	$F\left\{\right[\frac{\pi }{2}+{\tan }^{-1}{\mathrm{\Lambda }}_i](3+{\ell }_i^2)+2m_3{\ell }_i\}$
		$-{\ell }_i^2[m_3^2+2(1-m_3)+2(1-m_3{)}^2{\ell }_i^2\left]\right\{[\frac{\pi }{2}+{\tan }^{-1}{\mathrm{\Lambda }}_i](1+{\ell }_i^2)+m_3{\ell }_i\}$
$\Rightarrow {\ell }_{i}F(1+{\ell }_i^2{)}^2\{2m_3(1-m_3){\ell }_i^2-m_3[1+(1-m_3){\ell }_i^2]\}$	$=$	$F\cdot J\{(H-m_3{\ell }_i)(3+{\ell }_i^2)+2m_3{\ell }_i(1+{\ell }_i^2)\}-{\ell }_i^2(1+{\ell }_i^2)H\cdot J[m_3^2+2(1-m_3)+2(1-m_3{)}^2{\ell }_i^2],$
$2532.246281$	$=$	$56062.28134-53533.66963=2528.61171$

The difference between the LHS and RHS — $(2528.61171-2532.246281)=-3.634571$ — is larger than our previously obtained "difference" $(-0.028920679)$ by the factor, $(1+{\ell }_i^2)J=125.6745377$. We are therefore satisfied that, for a given value of $m_3$, the value of ${\ell }_i$ associated with the model that has the maximum core mass-fraction is identified when the LHS and RHS of this final expression match.

Note that, in reaching this final expression, we have recognized that,

$[\frac{\pi }{2}+{\tan }^{-1}{\mathrm{\Lambda }}_i]$

$=$

$\left[\frac{H-m_3{\ell }_i}{1+{\ell }_i^2}\right],$

and have introduced the short-hand notation,

$J$

$\equiv$

$[1+(1-m_3){\ell }_i^2{]}^2+m_3^2{\ell }_i^2=13.76676346(3).$

Examples

By trial-and-error, we have searched for accurate $(m_3,{\ell }_i)$ pairs; this, of course gives us the desired $({\mu }_e/{\mu }_c,{\xi }_i)$ pairs. When an accurate pair has been discovered, we should find that the LHS and RHS of the following expression should be equal to one another, to a very high degree of precision.

${\ell }_{i}F(1+{\ell }_i^2{)}^2\{2m_3(1-m_3){\ell }_i^2-m_3[1+(1-m_3){\ell }_i^2]\}$

$=$

$F\cdot J\{(H-m_3{\ell }_i)(3+{\ell }_i^2)+2m_3{\ell }_i(1+{\ell }_i^2)\}-{\ell }_i^2(1+{\ell }_i^2)H\cdot J[m_3^2+2(1-m_3)+2(1-m_3{)}^2{\ell }_i^2].$

In the following table, the first row of numbers (associated with ${\mu }_e/{\mu }_c=1/4$) shows results from the relatively crude "trial" Example #2 that we used, above as we debugged our derivation of this analytic expression. The second row of numbers improves on this initial guess, while the other rows give high-precision results for other selected values of ${\mu }_e/{\mu }_c$.

file = Dropbox/WorkFolder/Wiki edits/Bipolytrope/Stability/qAndNuMax.xlsx --- worksheet = K-BK74 Example High-Precision Determinations of ${\nu }_{\mathrm{m}\mathrm{a}\mathrm{x}}({\mu }_e/{\mu }_c)$
$\frac{{\mu }_e}{{\mu }_c}$	${\xi }_i$	LHS	RHS:TERM1	RHS:TERM2	error (TERM1 - TERM2 - LHS)	$q$	${\nu }_{\mathrm{m}\mathrm{a}\mathrm{x}}$	earlier fractional error
$\frac{1}{4}$	$4.93827$	2532.246285	56062.281392	53533.669713	$-3.6346$	$0.084820$	$0.1393701568$	$-1.1\times 10^{-2}$
$\frac{1}{4}$	$4.9379256$	2530.312408401	56030.44257523	53500.13020660	$-0.0000398$	$0.0848241365$	$0.1393701572$	$-1.2\times 10^{-7}$
$0.295$	$7.07531489$	22437.37085296	424789.588653918	402352.217777713	$+0.0000232$	$0.0832775611$	$0.2646775149$	$6.3\times 10^{-9}$
$0.3$	$7.569605936$	34614.27130158	652591.38554202	617977.11415666	$+0.0000838$	$0.0814202240$	$0.2860557405$	$1.5\times 10^{-8}$
$0.305$	$8.193828507$	57980.93749506	1095371.3718054	1037390.4343464	$-0.0000361$	$0.0788994904$	$0.3100155910$	$9.6\times 10^{-9}$
$0.310$	$9.014959766$	-	-	-	$+0.000169$	$0.0755022550$	$0.3372170065$	$-3.8\times 10^{-9}$
$0.320$	$11.914571350$	-	-	-	$-0.0000119$	$0.0644564059$	$0.4061310924$	$1.4\times 10^{-9}$
$0.325$	$15.0964057345$	-	-	-	$-0.000216$	$0.0549312331$	$0.4531316008$	$-4.7\times 10^{-10}$
$\frac{1}{3}$	$\mathrm{\infty }$	-	-	-	--	$0.0$	$0.63661977$	-

In a separate earlier derivation, we determined that the analytic expression from which the value of ${\nu }_{\mathrm{m}\mathrm{a}\mathrm{x}}$ can be derived is,

$(\frac{\pi }{2}+{\tan }^{-1}{\mathrm{\Lambda }}_i)(1+{\ell }_i^2)[3+(1-m_3{)}^2(2-{\ell }_i^2){\ell }_i^2]$

$=$

$m_3{\ell }_i[(1-m_3){\ell }_i^4-(m_3^2-m_3+2){\ell }_i^2-3].$

The last column of the table — labeled "earlier fractional error" — shows the result of subtracting the LHS of this earlier expression from its RHS, then dividing by the LHS. Because our derived "earlier fractional error" values are tiny, we are convinced that these two separately derived expressions are indeed identical.

Model Pairings

Guided by our separate examination of the K-BK74 conjecture in the context of pressure-truncated n = 5 polytropes, we will adopt the small (and always positive) parameter,

$\delta$

$\equiv$

$[1-(\frac{\nu }{{\nu }_{\mathrm{m}\mathrm{a}\mathrm{x}}}{)}^2{]}^{1/2}.$

(In our separate discussion, the small parameter was labelled, $\mu$, rather than $\delta$.) For a given "m₃" equilibrium sequence, we seek two different equilibrium models that have the same value of $\delta \ll 1$, but different values of the interface parameter, ${\xi }_{+}>{\xi }_i$ and ${\xi }_{-}<{\xi }_i$. Guided also by the Selected Pairings table from this separate examination, Table 2 (below) provides some model pairs (i.e., models with the same fractional core-mass) that lie close to the maximum value.

file = Dropbox/WorkFolder/Wiki edits/Bipolytrope/Stability/qAndNuMax.xlsx --- worksheet = K-BK74 thru MinuPreparation Bipolytrope with $(n_c,n_e)=(5,1)$ Table 2:  Selected Pairings along the ${\mu }_e/{\mu }_c=0.31$ Sequence
Pairing	$({\xi }_i{)}_{+}$	${\mathrm{\Lambda }}_i$	$\nu$	$q_{+}$	${\delta }_{+}$	$({\xi }_i{)}_{-}$	${\delta }_{-}$	$q_{-}$
A	$9.014959766$	$0.59835053$	$0.33721701$	$0.075502255$	$0.0$	degenerate	degenerate	degenerate
B	$9.12744$	$0.60069262$	$0.337200144$	$0.0746451491$	$0.0100000169$	$8.90394$	$0.0100000123$	$0.7636421328$

Eigenfunction Data
$\frac{M_r}{M_{\mathrm{t}\mathrm{o}\mathrm{t}}}$	$\frac{r_{+}-r_{-}}{2(r_{+}+r_{-})}$		$\frac{M_r}{M_{\mathrm{t}\mathrm{o}\mathrm{t}}}$	$\frac{r_{+}-r_{-}}{2(r_{+}+r_{-})}$
$0.00$	$0.0$		$0.50$	$0.023454$
$0.05$	$0.000562$		$0.55$	$0.023537$
$0.10$	$0.000780$		$0.60$	$0.023596$
$0.15$	$0.001035$		$0.65$	$0.023634$
$0.20$	$0.001464$		$0.70$	$0.023663$
$0.25$	$0.002123$		$0.75$	$0.023686$
$0.30$	$0.004103$		$0.80$	$0.023704$
$0.35$	$0.020430$		$0.85$	$0.023724$
$0.3372$	$0.012395$		$0.90$	$0.023740$
$0.375$	$0.012395$		$0.95$	$0.023754$
$0.40$	$0.022421$		$1.00$	$0.023776$
$0.45$	$0.023282$

In a separate chapter, we have described in detail how to construct equilibrium models of bipolytropes that have $(n_c,n_e)=(5,1)$; each model is uniquely defined by the parameter-pair, $({\mu }_e/{\mu }_c,{\xi }_i)$. In Table 2 of that chapter, we have provided plots that show how the density, pressure, and "interior mass" $M_r$ vary with $r$ throughout the interior of nine example equilibrium models. We chose models having ${\xi }_i=0.5,1.0,$ and $3.0$; and for each value of these interface locations, we illustrated ${\mu }_e/{\mu }_c=1,1/2,$ and $1/4$. We have followed the same sequence of steps to construct the two equilibrium models specified by the Pairing B parameters that have been listed in our current Table 2 (immediately above); that is, we used $({\mu }_e/{\mu }_c,{\xi }_i{)}_{+}=(0.31,9.12744)$ and $({\mu }_e/{\mu }_c,{\xi }_i{)}_{-}=(0.31,8.90394)$. The left-hand plot in our current Table 2 shows how the "plus" model's radial location varies with the enclosed mass-fraction, $M_r/M_{\mathrm{t}\mathrm{o}\mathrm{t}}$. (There is no need to show a plot of the "minus" model's mass profile because its structure was purposely chosen to be very similar to the "plus" model's profile.)

The two Pairing B models have (almost) identical fractional core masses — specifically, ${\nu }_{+}={\nu }_{-}=0.337200$ — and this chosen mass-fraction is just below the maximum value associated with the ${\mu }_e/{\mu }_c=0.31$ model sequence, ${\nu }_{\mathrm{m}\mathrm{a}\mathrm{x}}=0.33721701$ (see the degenerate, Pairing A). With these two mass-radius structural profiles, we are positioned to implement the K-BK74 conjecture. Letting $r_{+}(m_r)$ represent the run of radius with mass-fraction in the "plus" model and letting $r_{-}(m_r)$ represent the run of radius with mass-fraction in the "minus" model, the amplitude of the eigenfunction at each value of $m_r$ should be very close to the value,

$x$

$=$

$\frac{r_{+}-r_{-}}{(r_{+}+r_{-})}.$

The table titled, "Eigenfunction Data," provides this eigenfunction amplitude at twenty-three different mass-fraction locations throughout our Pairing B model(s). For example, at the interface location where $m_r=0.337200$ (for both models), our pair of models give, respectively, $r_{-}=6.152518$ and $r_{+}=6.306954$; this means that, at the interface, $x=0.012395$, as recorded in our table. Similarly, at the surface we find that, $r_{-}=80.568084$ and $r_{+}=84.492486$ which means that, $x=0.023776$, as recorded in our table.

See Also