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====Strategy==== <font color="red">'''STEP 0:'''</font> Choose the pair of model-sequence parameters, <math>~(C_0, C_1)</math>, that are associated with the function, <math>~F_B(\Psi)</math>. Hold these fixed during iterations. <font color="red">'''STEP 1:'''</font> Guess a density distribution, <math>~\rho(x,y)</math>. For example, pick the equatorial-plane (uniform) density distribution of a Riemann S-type ellipsoid with an equatorial-plane axis-ratio, <math>~b/a</math> and meridional-plane axis-ratio, <math>~c/a</math>; use the same <math>~b/a</math> ratio to define two points on the configuration's surface throughout the iteration cycle. <font color="red">'''STEP 2:'''</font> Given <math>~\rho(x,y)</math>, solve the Poisson equation to obtain, <math>~\Phi_\mathrm{grav}(x,y)</math>. In the first iteration, this should exactly match the <math>~A_1, A_2, A_3</math> values associated with the chosen Riemann S-type ellipsoid. <font color="red">'''STEP 3:'''</font> Guess a value of <math>~\Omega_f</math> — perhaps the spin-frequency associated with your "initial guess" Riemann ellipsoid — then solve the following two-dimensional, elliptic PDE to obtain <math>~\Psi(x,y)</math> … <table border="0" cellpadding="5" align="center"> <tr> <td align="right"> <math>~ 2\Omega_f - C_0 \rho </math> </td> <td align="center"> <math>~=</math> </td> <td align="left"> <math>~~C_1 \rho \Psi + \frac{\partial }{\partial x}\biggl[\frac{1}{\rho} \frac{\partial \Psi}{\partial x} \biggr] + \frac{\partial }{\partial y} \biggl[\frac{1}{\rho} \frac{\partial \Psi}{\partial y} \biggr] \, .</math> </td> </tr> </table> <table border="1" cellpadding="10" width="70%" align="center"><tr><td align="left"> <div align="center">'''Boundary Condition'''</div> Moving along various rays from the center of the configuration, outward, the surface is determined by the location along each ray where <math>~H(x,y)</math> goes to zero for the first time. We set <math>~\Psi = 0</math> at these various surface locations. At each of these locations, the velocity vector must be tangent to the surface. This requirement also, then, sets the value of <math>~\partial \Psi/\partial y</math> and <math>~\partial \Psi/\partial x</math> at each location. </td></tr></table> <font color="red">'''STEP 4:'''</font> Determine (rotating-frame) velocity from knowledge of <math>~\Psi(x,y)</math> and <math>~\rho(x,y)</math>. <table border="0" cellpadding="5" align="center"> <tr> <td align="right"> <math>~\bold{u}</math> </td> <td align="center"> <math>~=</math> </td> <td align="left"> <math>~ \frac{1}{\rho}\biggl\{ \boldsymbol{\hat\imath} \biggl[ \frac{\partial \Psi}{\partial y} \biggr] - \boldsymbol{\hat\jmath} \biggl[ \frac{\partial \Psi}{\partial x}\biggr] \biggr\} </math> </td> </tr> <tr> <td align="right"> <math>~\Rightarrow~~~ u^2 = \bold{u} \cdot \bold{u}</math> </td> <td align="center"> <math>~=</math> </td> <td align="left"> <math>~ \frac{1}{\rho^2}\biggl\{ \biggl[ \frac{\partial \Psi}{\partial y} \biggr]^2 + \biggl[ \frac{\partial \Psi}{\partial x}\biggr]^2 \biggr\} \, .</math> </td> </tr> </table> <font color="red">'''STEP 5:'''</font> Using the "scalar Euler equation," <table border="0" cellpadding="5" align="center"> <tr> <td align="right"> <math>~ H + \Phi_\mathrm{grav} + C_0 \Psi + \frac{1}{2} C_1 \Psi^2 + \frac{1}{2}u^2 - \frac{1}{2}\Omega_f^2 (x^2 + y^2) </math> </td> <td align="center"> <math>~=</math> </td> <td align="left"> <math>C_B \, , </math> </td> </tr> <tr><td align="center" colspan="3">[https://digitalcommons.lsu.edu/gradschool_disstheses/6650/ Saied W. Andalib (1998)], §4.3, p. 85, Eq. (4.23)</td></tr> </table> <ul> <li>Set <math>~H = 0</math> at two different points on the surface of the configuration — usually at <math>~(x,y) = (a,0)</math> and <math>~(x,y) = (0,b)</math> — to determine values of the two constants, <math>~\Omega_f^2</math> and <math>~C_B</math>.</li> <li>At all points inside the configuration, determine <math>~H(x,y)</math>.</li> </ul> <font color="red">'''STEP 6:'''</font> Use the barotropic equation of state to determine the "new" mass-density distribution from the knowledge of the enthalpy, <math>~H(x,y)</math>.
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