Dirac delta function / Gibbs entropy

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SUMMARY

The discussion focuses on the application of the Dirac delta function in the context of Gibbs entropy and microcanonical distributions. The density function is defined as ρ(p,x) = 1/Ω(E) δ(ε(p,x) - E), where ε(p,x) represents the Hamiltonian. The logarithmic transformation leads to the equation ln(ρ(p,x)) = -ln(Ω(E)) + ln(δ(ε(p,x) - E)). The key point of contention is the treatment of the ln(δ(ε(p,x) - E)) term, which the textbook omits, leading to the conclusion S = -∫ρ(p,x)ln(ρ(p,x))dpdx. The Dirac delta function's properties justify this omission, as it is zero elsewhere except at the point where ε(p,x) equals E.

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  • Understanding of Dirac delta function properties
  • Familiarity with Gibbs entropy and microcanonical ensembles
  • Knowledge of Hamiltonian mechanics
  • Basic calculus, particularly integration over phase space
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Students and researchers in physics, particularly those focused on statistical mechanics, thermodynamics, and mathematical physics. This discussion is beneficial for anyone looking to deepen their understanding of entropy calculations involving Dirac delta functions.

Silversonic
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Homework Statement



This is an issue I'm having with understanding a section of maths rather than a coursework question. I have a stage of the density function on the full phase space ρ(p,x);

ρ(p,x) = \frac {1}{\Omega(E)} \delta (\epsilon(p,x) - E)

where \epsilon(p,x) is the Hamiltonian.

Then the logarithm of that is taken to obtain;

ln(ρ(p,x)) = -ln(\Omega (E)) + ln(\delta (\epsilon(p,x) - E))

And then both sides are multiplied by ρ(p,x) and integrated over the phase space

∫ρ(p,x)ln(ρ(p,x))dpdx = -ln(\Omega (E))∫ρ(p,x)dpdx + ln(\delta (\epsilon(p,x) - E))∫ρ(p,x)dpdx

The term ∫ρ(p,x)dpdx equals one clearly, and the term on the LHS stays as it is. And ln(\Omega (E)) = S (omitting the Boltzmann constant for the moment [S = S/k]).


However my textbook completely negates the ln(\delta (\epsilon(p,x) - E)) term, the dirac delta function. As if it goes to zero. Leaving us with;

S = -∫ρ(p,x)ln(ρ(p,x))dpdx

Why can we do this? Why is that term equal to zero? I understand the function of the dirac delta function, δ(x) is zero anywhere else except x = 0, where it is equal to infinity. The intergal of the dirac delta function over all space is equal to one. So why then does ln(\delta (\epsilon(p,x) - E)) equal zero? That makes little sense to me, where \epsilon(p,x) is not equal to zero, then we're logging the number zero, and when it's equal to E, we're logging infinity. Neither case makes much sense, so why can we omit it/ say it is equal to zero?
 
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Silversonic said:
ρ(p,x) = \frac {1}{\Omega(E)} \delta (\epsilon(p,x) - E)

I'm not sure how to handle the dirac delta function here either.

Usually the microcanonical distribution is defined in such a way as to allow for a small uncertainty in the total energy E. So, instead of an energy surface in phase space, you deal with a very thin energy “slab” of thickness dE. Then the density of states would be ρ(p,x) = \frac {1}{\Omega(E,dE)} \Delta (p,x) where \Delta (p,x) has the value 1 if ##(p,x)## lies in the slab and 0 otherwise. ##\Omega(E,dE)## is the volume in phase space of the slab. So, \Delta (p,x) would take the place of the dirac delta function.

Now, ∫ρ(p,x)ln(ρ(p,x))dpdx should give you what you want. But this doesn't really answer your question of how to do it directly with the dirac-delta function.
 

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