Exam 2 Review

Practice Exam 2 Problems

Chapters 4.1 - 4.2

The Carnot Cycle represents the maximal efficiency of a heat engine operating between two reservoirs at fixed temperature:

ηC=1−TlTh

where Tl is the low temperature reservoir, and Th is the high temperature reservoir. The
Carnot efficiency is realized with the cycle is reversible.

Two very useful representations of a cycle: the P-V diagram, and the T-S plane. The area under the curve of a process in the P-V diagram is the work done by the gas. The area under the curve during a T-S process is the total heat absorbed by the system.

Chapter 5.1 - 5.2

In Lecture 13, I discussed extensive and intensive variables. An especially interesting relation that comes from extensivity is the Euler relation:

(1)U=TS−PV+μN

These sections also extensively discussed free energies, and from them derived some useful partial derivative relations. The starting point is always the thermodynamic identity:

dU=TdS−PdV+μdN

A relation such as this implies the internal energy U has natural variables S,V,N, i.e. U(S,V,N) It also implies that there is a way to transform variables between these extensive variables, and their intensive counterparts. The following are so-called "conjugate" variables, in this sense:

There are many possible ways to change variables, but there are a few ways in particular that are especially useful and relevant in practice:

Enthalpy:

Definition: H=U+PV

Exchanges V for P, so the natural variables of H are S,P,N.

Using the thermodynamic identity, one can show: dH=TdS+VdP+μdN

Helmholtz Free Energy: F=U−TS

Definition: F(T,V,N)=U−TS

Exchanges S for T, so the natural variables are T,V,N

Differential identity is: dF=−PdV+μdN−SdT

This implies the partial derivative relations

(∂F∂T)V,N=−S,(∂F∂V)T,N=−P

Gibbs Free Energy:

Definition: G=U−TS+PV

Exchanges S for T, and exchanges V for P.

Differential identity is: dG=−SdT+VdP+μdN

A few partial derivative relations that are useful come directly from this:

S=−(∂G∂T)P,N,V=(∂G∂P)T,N

Notice that if we use the Euler relation Eq. (1), it implies the Gibbs free energy is directly proportional to the number of particles:

G=μN

Grand Potential:

Definition: Φ=U−TS−μN

We now consider replacing S→T, N→μ. This produces the Grand potential:

Φ(T,V,μ)=U−TS−μN

which satisfies

dΦ=−SdT−Ndμ−PdV

Notice again that using the Euler relation Eq. (1) implies: Φ=−PV

Gibbs-Duhem Equation

There is an interesting relation which follows when we replace all the extensive variables with their conjugate intensive variables. Following the logic above, we should define a new thermodynamic potential

ϕ(T,P,μ)=U−TS+PV−μN

However, by the Euler relation Eq. (1), ϕ=0, and furthermore the differentials must be exactly zero. However, this implies a nontrivial relation connecting variations between intensive variables, called the Gibbs-Duhem equation:

−SdT+VdP−Ndμ=0

Chapter 6.1 -6.2, 6.5

The Boltzmann distribution describes the so-called canonical ensemble in which the temperature is fixed. The probability for a particular microstate in this ensemble is related to the energy of that microstate E(s), and is given by

P(s)=1Ze−E(s)/kT

where the partition function is

Z=∑se−E(s)/kT

Is the sum over all configurations. From this probability distribution, you can compute averages, such as the internal energy:

U=⟨E⟩=1Z∑sE(s)e−E(s)/kT=kT2∂Tln⁡Z

In the last equality I showed a powerful relation, which we can use to connect the partition to the Helmholtz Free energy (from Sec. 6.5):

F=−kTln⁡Z