Find the maximum of E_a when the entropy is at its maximum

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Homework Help Overview

The discussion revolves around maximizing the entropy in a statistical mechanics context, specifically focusing on the expression for \(\Gamma_T\) and its relation to energy \(E_a\). The participants are analyzing the mathematical formulation and attempting to understand the conditions under which the entropy reaches its maximum.

Discussion Character

  • Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • The original poster attempts to manipulate the quadratic terms in the entropy expression to find the maximum. They express confusion regarding the equality of two different forms of an equation. Some participants question the ability to cancel factors in the expression, while others suggest re-evaluating the completion of the square.

Discussion Status

Participants are actively engaging with the mathematical details, with some providing guidance on potential errors in the original poster's reasoning. There is a focus on clarifying the algebraic manipulations involved, but no consensus has been reached regarding the correct form of the equation.

Contextual Notes

There appears to be a misunderstanding regarding the algebraic manipulation of terms, particularly in the context of completing the square and the implications of certain factors in the equations. The discussion is constrained by the need to adhere to homework guidelines, which may limit the extent of direct assistance provided.

WeiShan Ng
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Homework Statement


Show that \Gamma_T is maximum at E_a = \frac{N_aE}{N_a+N_b}

Homework Equations


The expression for \Gamma(E) when N\gg 1
\Gamma_T = C_aC_b exp \left( -\frac{E_a^2}{2N_a\mu_B^2h^2} \right) exp \left[ - \frac{(E-E_a)^2}{2N_b\mu_B^2H^2} \right]
where C_a and C_b are normalization constants that depends on N_a and N_b
In terms of the entropy:
\begin{aligned} \frac{1}{k}S_T = \frac{1}{k}(S_a+S_b) &= ln \Gamma_T \\ &= ln(C_aC_b)-\frac{1}{2(\mu_BH)^2} \left[ \frac{E_a^2}{N_a} + \frac{(E-E_a)^2}{N_b} \right]\end{aligned}

The Attempt at a Solution


Try to find the maximum of the entropy using the quadratic terms in the square bracket:
\begin{aligned} \frac{E_a^2}{N_a} + \frac{(E-E_a)^2}{N_b} &= \frac{(N_a+N_b)E_a^2}{N_aN_b} - \frac{2EE_a}{N_b} + \frac{E^2}{N_b} \\ &= \frac{N_a+N_b}{N_aN_b} \left[ E_a^2 - \frac{2N_aN_bEE_a}{N_b(N_a+N_b)} \right] + \frac{E^2}{N_b} \\ &= \frac{(N_a+N_b)}{N_aN_b} \left[ E_a - \frac{N_aE}{N_a+N_b} \right]^2 +\frac{E^2}{N_b} - \frac{N_a^2E^2}{(N_a+N_b)^2} \end{aligned}
And the solution manual reduce this equation to
\frac{(N_a+N_b)}{N_aN_b} \left[ E_a - \frac{N_aE}{N_a+N_b} \right]^2 + \frac{E^2}{N_a+N_b}
I can't get the equality of
\frac{E^2}{N_b} - \frac{N_a^2E^2}{(N_a+N_b)^2}=\frac{E^2}{N_a+N_b}
With \frac{E^2[N_a^2+2N_aN_b+N_b^2-N_bN_a^2]}{N_b(N_a+N_b)^2}=\frac{E^2(N_a+N_b)N_b}{N_b(N_a+N_b)^2} I just can't get both side of the equation to be equal...
 
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Are there factors that appear both in the numerator and the denominator of your final expression? You can cancel them unless they are equal to zero.
 
Sorry, what I meant was I can't factor the equation N_a^2 + 2N_aN_b + N_b^2 -N_bN_a^2 to (N_a+N_b)N_b
 
The error is in completing the square. The last term ##- \frac{N_a^2E^2}{(N_a+N_b)^2}## is incorrect. It should be ## - \frac{N_aE^2}{N_b(N_a+N_b)^2}##. You should check this out for yourself.
 

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