Derivation of Entropy Eq - For Smart People

In summary: This is Euler's theorem for homogeneous functions. In summary, we discussed the equation for entropy and how it is derived from the first law of thermodynamics. It is a result of S being an extensive quantity and can be derived using Euler's theorem for homogeneous functions. The partial derivatives can also be expressed in terms of temperature, pressure, and chemical potential using the fundamental thermodynamic relation.
  • #1
qbslug
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hello smart people
I came across a weird equation for entropy and do not know how it was derived.
It looks like this

S = N(dS/dN)[V,E] + V(dS/dV)[N,E] + E(dS/dE)[N,V]

note that these technically partial derivatives

So how do you derive this equation. I am assuming you start with the first law of thermodynamics but I am confused how they got this result.
 
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  • #2
Actually, this follows from the fact that S is an extensive quantity: it scales with system size if you keep the intensive vsriables (temperature, pressure etc.) constant. The internal energy, volume and number of particles are, of course, also extensive variables.

Let's see what happens if we specify a system by the variables E, V, and N, and then increase the system size by a factor lambda. The entropy must increase by lambda too:

[tex]S(\lambda E, \lambda V,\lambda N) = \lambda S(E, V, N)[/tex]

Suppose we put:

[tex]\lambda= 1 +\epsilon[/tex]

and expand both sides in powers of epsilon. Then equating the coefficient of epsilon on both sides gives you the desired equation. This is Euler's theorem for homogeneous functions (a special case of it).

You can then use the fundamental thermodynamic relation:

[tex]dE = T dS - P dV + \mu dN[/tex]

To express the partial derivatives in terms of the temperature, pressure and chamical potential.
 
  • #3
Thanks for your input. I t makes more sense.
But what do you mean by expand in powers of epsilon and why do you need to replace lambda with 1+epsilon?
Can't you just use euler's theorem of homogeneous functions and be done.
I wasn't aware of euler's theorem so no wonder I was lost.
 
  • #4
That's how you derive Euler's theorem. We have:

[tex]S\left(\lambda E, \lambda V,\lambda N\right) = \lambda S(E, V, N)[/tex]

Putting lambda = 1 + epsilon and expanding to first order in epsilon gives for the left hand side:

[tex]S\left[(1+\epsilon) E, (1+\epsilon) V,(1+\epsilon) N\right] =
S\left(E, V,N\right) + \epsilon\left[E\left(\frac{\partial S}{\partial E}\right)_{V,N} + V\left(\frac{\partial S}{\partial V}\right)_{E,N}+N\left(\frac{\partial S}{\partial N}\right)_{E,V}\right]
[/tex]


On the right hand side you have:

[tex] S(E, V, N) + \epsilon S(E, V, N)[/tex]

If you equate the coefficient of epsilon on both sides you get:

[tex]S(E, V, N) =E\left(\frac{\partial S}{\partial E}\right)_{V,N} + V\left(\frac{\partial S}{\partial V}\right)_{E,N}+N\left(\frac{\partial S}{\partial N}\right)_{E,V} [/tex]
 

FAQ: Derivation of Entropy Eq - For Smart People

What is entropy and why is it important?

Entropy is a measure of the disorder or randomness in a system. It is important in many fields, including thermodynamics, information theory, and statistical mechanics, as it helps us understand the behavior of complex systems and predict their future states.

How is entropy calculated?

The entropy of a system can be calculated using the formula S = k ln W, where S is the entropy, k is the Boltzmann constant, and W is the number of microstates (possible arrangements of particles) in the system.

What is the significance of the derivation of the entropy equation?

The derivation of the entropy equation is significant because it provides a deeper understanding of the concept of entropy and its connection to other fundamental concepts in physics, such as energy and probability. It also allows for the application of entropy in various fields and the development of new theories and technologies.

What are some real-world examples of entropy?

One example of entropy is the melting of ice. As the ice melts, the molecules become more disordered and the entropy of the system increases. Another example is the spread of a drop of food coloring in a glass of water, as the color molecules disperse and become more randomly distributed.

Can entropy be reversed or decreased?

According to the second law of thermodynamics, the total entropy of a closed system will always increase over time. While it is technically possible to decrease the entropy of a small part of a system, the overall entropy of the system will still increase due to the transfer of energy and matter. Therefore, entropy is irreversible in most cases.

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