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=Summary= <table border="1" align="center" width="85%" cellpadding="15"> <tr><td align="center> <table align="center" cellpadding="5"> <tr> <td align="left" colspan="3"> Given that we are only interested in bipolytropes having <math>~\gamma_e > \gamma_c</math>, the leading coefficient of the derived stability condition will be positive. Hence, the bipolytropic configuration will be dynamically stable as long as, </td> </tr> <tr> <td align="center" colspan="3"> <math> ~\frac{( \gamma_e - \frac{4}{3})}{(\gamma_e - \gamma_c)} f - \biggl[1 + \frac{5}{2} (g^2-1) \biggr] ~>~ 0 \, , </math> </td> <tr> <td align="left" colspan="3"> where, </td> </tr> <tr> <td align="right"> <math>~f(q,\rho_e/\rho_c)</math> </td> <td align="center"> <math>~\equiv~</math> </td> <td align="left"> <math>1 + \frac{5}{2} \biggl( \frac{\rho_e}{\rho_c} \biggr) \biggl(\frac{1}{q^2} - 1 \biggr) + \biggl( \frac{\rho_e}{\rho_c} \biggr)^2 \biggl[ \biggl(\frac{1}{q^5} - 1 \biggr) - \frac{5}{2}\biggl(\frac{1}{q^2} - 1 \biggr) \biggr] \, ,</math> </td> </tr> <tr> <td align="right"> <math>~g^2(q,\rho_e/\rho_c)</math> </td> <td align="center"> <math>~\equiv~</math> </td> <td align="left"> <math>1 + \biggl(\frac{\rho_e}{\rho_0}\biggr) \biggl[ 2 \biggl(1 - \frac{\rho_e}{\rho_0} \biggr) \biggl( 1-q \biggr) + \frac{\rho_e}{\rho_0} \biggl(\frac{1}{q^2} - 1\biggr) \biggr] \, .</math> </td> </tr> <tr> <td align="left" colspan="3"> It is also worth noting that the numerical value of the factor <math>~\Lambda</math> that appears in the leading coefficient can be obtained from the relation, </td> </tr> <tr> <td align="right"> <math>~\frac{1}{\Lambda}</math> </td> <td align="center"> <math>~=</math> </td> <td align="left"> <math>\frac{5}{2}(g^2-1) \, ,</math> </td> </tr> <tr> <td align="left" colspan="3"> hence, the term, </td> </tr> <tr> <td align="right"> <math>\biggl(1 + \frac{1}{\Lambda} \biggr)</math> </td> <td align="center"> <math>~=</math> </td> <td align="left"> <math> ~\biggl[1+\frac{5}{2}(g^2-1)\biggr] = 1 + 5 \biggl(\frac{\rho_e}{\rho_c}\biggr) (1-q) + \frac{5}{2} \biggl(\frac{\rho_e}{\rho_c}\biggr)^2 \biggl( \frac{1}{q^2} - 3 + 2q \biggr) \, .</math> </td> </tr> <tr> <td align="left" colspan="3"> It is also worth remembering that, in the <math>(n_c, n_e) = (0, 0)</math> bipolytrope, the density drop at the interface is related to the two key parameters <math>~q</math> and <math>~\nu</math> via the expression, </td> </tr> <tr> <td align="right"> <math>\frac{\rho_e}{\rho_c} </math> </td> <td align="center"> <math>~=</math> </td> <td align="left"> <math> \frac{q^3(1-\nu)}{\nu(1-q^3)} \, .</math> </td> </tr> </table> </td></tr> </table> The "Dynamical Stability" figure below shows a large segment of the <math>~(q,\nu)</math> model parameter space. The figure displays stability boundaries for four different choices of the core/envelope adiabatic pairs <math>~(\gamma_c, \gamma_e)</math>, as detailed in the accompanying "Stability Boundaries" table. (The corresponding polytropic indexes are also listed, where, <math>~\gamma = 1+1/n</math>.) Two bipolytrope model sequences are also drawn: One shows how the core-to-total mass ratio, <math>~\nu</math>, varies with increasing <math>~q</math> when the density ratio at the core-envelope interface is <math>~\rho_e/\rho_c = 1/2</math> (purple crosses); the other shows the same information, but for <math>~\rho_e/\rho_c = 1/4</math> (purple asterisks). For a given choice of adiabatic indexes, equilibrium configurations that lie below the relevant stability boundary, along either sequence, are stable while configurations that lie above the relevant boundary are dynamically unstable. <div align="center" id="Illustration"> <table border="0" align="center"> <tr> <td align="center"> <table border="1" cellpadding="5"> <tr> <th align="center" colspan="5"> Stability Boundaries </th> </tr> <tr> <td align="center" colspan="1"> <math>~n_c</math> </td> <td align="center" colspan="1"> <math>~n_e</math> </td> <td align="center" colspan="1"> <math>~\gamma_c</math> </td> <td align="center" colspan="1"> <math>~\gamma_e</math> </td> <th align="center" colspan="1"> Marker </th> </tr> <tr> <td align="center" colspan="1"> <math>~5</math> </td> <td align="center" colspan="1"> <math>~1</math> </td> <td align="center" colspan="1"> <math>~1.2</math> </td> <td align="center" colspan="1"> <math>~2</math> </td> <td align="center" colspan="1"> Light blue diamonds </td> </tr> <tr> <td align="center" colspan="1"> <math>~5</math> </td> <td align="center" colspan="1"> <math>~\frac{3}{2}</math> </td> <td align="center" colspan="1"> <math>~1.2</math> </td> <td align="center" colspan="1"> <math>~1.6667</math> </td> <td align="center" colspan="1"> Light green triangles </td> </tr> <tr> <td align="center" colspan="1"> <math>~20</math> </td> <td align="center" colspan="1"> <math>~1</math> </td> <td align="center" colspan="1"> <math>~1.05</math> </td> <td align="center" colspan="1"> <math>~2</math> </td> <td align="center" colspan="1"> Red squares </td> </tr> <tr> <td align="center" colspan="1"> <math>~20</math> </td> <td align="center" colspan="1"> <math>~\frac{3}{2}</math> </td> <td align="center" colspan="1"> <math>~1.05</math> </td> <td align="center" colspan="1"> <math>~1.6667</math> </td> <td align="center" colspan="1"> Orange circles </td> </tr> </table> </td> <td align="center" width="50"> </td> <td> [[Image:BipolytropeDynamicalStability2.png|400px]] </td> </tr> </table> </div> It is important to emphasize that the stability analysis presented above is an approximation in the following sense: The underlying equilibrium structure of each model is that of an <math>~(n_c, n_e) = (0, 0)</math> bipolytrope, that is, both the core and the envelope have uniform (but different) densities; the gravitational potential energy, <math>~W</math> and the thermal energy content of the component volumes, <math>~S_\mathrm{core}</math> and <math>~S_\mathrm{env}</math>, are determined exactly. However, the relative stability of a configuration is determined by assuming that, when the bipolytropic configuration is perturbed from its equilibriums state, its core and envelope heat up (or cool) by evolving along <math>~(\gamma_c, \gamma_e)</math> adiabats.
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