SSC/BipolytropeGeneralization/Pt4
Bipolytrope Generalization (Pt 4)[edit]
Part I: Bipolytrope Generalization
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Part II: Derivations
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Part III: Examples
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Part IV: Best of the Best
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Best of the Best[edit]
One Derivation of Free Energy[edit]
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Another Derivation of Free Energy[edit]
Hence the renormalized gravitational potential energy becomes,
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and the two, renormalized contributions to the thermal energy become,
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Finally, then, we can state that,
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Note,
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We also want to ensure that envelope pressure matches the core pressure at the interface. This means,
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Keep in mind that, if the envelope and core both have uniform (but different) densities, then , , and
Summary[edit]
Understanding Free-Energy Behavior[edit]
Step 1: Pick values for the separate coefficients, and of the three terms in the normalized free-energy expression,
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then plot the function, , and identify the value(s) of at which the function has an extremum (or multiple extrema).
Step 2: Note that,
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where (see, for example, in the context of its original definition),
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and, where,
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Also, keep in mind that, if the envelope and core both have uniform (but different) densities, then , , and
Step 3: An analytic evaluation tells us that the following should happen. Using the numerically derived value for , define,
We should then discover that,
Check It[edit]
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Fortunately, this precisely matches our earlier derivation, which states that,
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Playing With One Example[edit]
By setting,
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2.5 |
1.0 |
2.0 |
a plot of versus exhibits the following, two extrema:
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extremum |
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MIN |
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MAX |
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The last two columns of this table confirm the internal consistency of the relationships presented in Step 3, above. But what does this mean in terms of the values of , , and the related ratio of densities at the interface, ?
Let's assume that what we're trying to display and examine is the behavior of the free-energy surface for a fixed value of the ratio of densities at the interface. Once the value of has been specified, it is clear that the value of (and, hence, also ) is set because has also been specified. But our specification of along with also forces a particular value of . It is unlikely that these two values of will be the same. In reality, once and have both been specified, they force a particular pair. How do we (easily) figure out what this pair is?
Let's begin by rewriting the expressions for and in terms of just and the ratio, , keeping in mind that, for the case of a uniform-density core (of density, ) and a uniform-density envelope (of density, ),
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hence,
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and |
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Putting the expression for in the desired form is simple because only appears as a leading factor. Specifically, we have,
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The expression for can be written in the form,
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Generally speaking, the equilibrium radius, , which appears in the expression for , is not known ahead of time. Indeed, as is illustrated in our simple example immediately above, the normal path is to pick values for the coefficients, , , and , and determine the equilibrium radius by looking for extrema in the free-energy function. And because is not known ahead of time, it isn't clear how to (easily) figure out what pair of physical parameter values, , give self-consistent values for the coefficient pair, .
Because we are using a uniform density core and uniform density envelope as our base model, however, we do know the analytic solution for . As stated above, it is,
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Combining this expression with the one for gives us the desired result — although, strictly speaking, it is cheating! We can now methodically choose pairs and map them into the corresponding values of and . And, via an analogous "cheat," the choice of also gives us the self-consistent value of . In this manner, we should be able to map out the free-energy surface for any desired set of physical parameters.
Second Example[edit]
Explain Logic[edit]
The figure presented here, on the right, shows a plot of the free energy, as a function of the dimensionless radius,
, where,
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and, where we have used the parameter values,
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0.201707 |
0.0896 |
0.002484 |
Directly from this plot we deduce that this free-energy function exhibits a minimum at and that, at this equilibrium radius, the configuration has a free-energy value, . Via the steps described below, we demonstrate that this identified equilibrium radius is appropriate for an bipolytrope (with the just-specified core and envelope adiabatic indexes) that has the following physical properties:
- Fractional core mass, ;
- Core-envelope interface located at ;
- Density jump at the core-envelope interface, .
Step 1: Because the ratio, , is a linear function of the density ratio, , the full definition of the free-energy coefficient, , can be restructured into a quadratic equation that gives the density ratio for any choice of the parameter pair, . Specifically,
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and this can be written in the form,
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where,
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Hence,
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(For our physical problem it appears as though only the positive root is relevant.) For the purposes of this example, we set and examined a range of values of to find a physically interesting value for the density ratio. We picked:
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Step 2: Next, we chose the parameter pair,
and determined the following parameter values from the known analytic solution:
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Construction Multiple Curves to Define a Free-Energy Surface[edit]
Okay. Now that we have the hang of this, let's construct a sequence of curves that represent physical evolution at a fixed interface-density ratio, , but for steadily increasing core-to-total mass ratio, . Specifically, we choose,
From the known analytic solution, here are parameters defining several different equilibrium models:
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Identification of Local Minimum in Free Energy |
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Here we are examining the behavior of the free-energy function for bipolytropic models having , , and a density ratio at the core-envelope interface of . The figure shown here, on the right, displays the three separate free-energy curves, — where, is the normalized configuration radius — that correspond to the three values of given in the first column of the above table. Along each curve, the local free-energy minimum corresponds to the the equilibrium radius, , recorded in column 6 of the above table. |
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Each of the free-energy curves shown above has been entirely defined by our specification of the three coefficients in the free-energy function, , and . In each case, the values of these three coefficients was judiciously chosen to produce a curve with a local minimum at the correct value of corresponding to an equilibrium configuration having the desired model parameters. Upon plotting these three curves, we noticed that two of the curves — curves for and — also display a local maximum. Presumably, these maxima also identify equilibrium configurations, albeit unstable ones. From a careful inspection of the plotted curves, we have identified the value of that corresponds to the two newly discovered (unstable) equilibrium models; these values are recorded in the table that immediately follows this paragraph. By construction, we also know what values of , and are associated with these two identified equilibria; these values also have been recorded in the table. But it is not immediately obvious what the values are of the model parameters that correspond to these two equilibrium models.
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Subsequently Identified Local Energy Maxima |
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Related Discussions[edit]
- Newer, Version2 of Bipolytrope Generalization derivations.
- Analytic solution with and .
- Analytic solution with and .
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Appendices: | VisTrailsEquations | VisTrailsVariables | References | Ramblings | VisTrailsImages | myphys.lsu | ADS | |