- thermodynamics Maxwell relation
*assignment*Using Gibbs Free Energy*assignment*Homework##### Using Gibbs Free Energy

thermodynamics entropy heat capacity internal energy equation of state Energy and Entropy 2021 (2 years)You are given the following Gibbs free energy: \begin{equation*} G=-k T N \ln \left(\frac{a T^{5 / 2}}{p}\right) \end{equation*} where \(a\) is a constant (whose dimensions make the argument of the logarithm dimensionless).

Compute the entropy.

Work out the heat capacity at constant pressure \(C_p\).

Find the connection among \(V\), \(p\), \(N\), and \(T\), which is called the equation of state (Hint: find the volume as a partial derivative of the Gibbs free energy).

- Compute the internal energy \(U\).

*face*Review of Thermal Physics*face*Lecture30 min.

##### Review of Thermal Physics

Thermal and Statistical Physics 2020thermodynamics statistical mechanics

These are notes, essentially the equation sheet, from the final review session for Thermal and Statistical Physics.*face*Energy and Entropy review*face*Lecture5 min.

##### Energy and Entropy review

Thermal and Statistical Physics 2020 (3 years)thermodynamics statistical mechanics

This very quick lecture reviews the content taught in Energy and Entropy, and is the first content in Thermal and Statistical Physics.*face*Chemical potential and Gibbs distribution*face*Lecture120 min.

##### Chemical potential and Gibbs distribution

Thermal and Statistical Physics 2020chemical potential Gibbs distribution grand canonical ensemble statistical mechanics

These notes from the fifth week of Thermal and Statistical Physics cover the grand canonical ensemble. They include several small group activities.*assignment*Zapping With d 1*assignment*Homework##### Zapping With d 1

Energy and Entropy 2021 (2 years)Find the differential of each of the following expressions; zap each of the following with \(d\):

\[f=3x-5z^2+2xy\]

\[g=\frac{c^{1/2}b}{a^2}\]

\[h=\sin^2(\omega t)\]

\[j=a^x\]

- \[k=5 \tan\left(\ln{\left(\frac{V_1}{V_2}\right)}\right)\]

*assignment*Differentials of One Variable*assignment*Homework##### Differentials of One Variable

Static Fields 2023 (6 years) Find the total differential of the following functions:- \(y=3x^2 + 4\cos 2x\)
- \(y=3x^2\cos kx\) (where \(k\) is a constant)
- \(y=\frac{\cos 7x}{x^2}\)
- \(y=\cos(3x^2-2)\)

*face*Phase transformations*face*Lecture120 min.

##### Phase transformations

Thermal and Statistical Physics 2020phase transformation Clausius-Clapeyron mean field theory thermodynamics

These lecture notes from the ninth week of Thermal and Statistical Physics cover phase transformations, the Clausius-Clapeyron relation, mean field theory and more. They include a number of small group activities.*face*Entropy and Temperature*face*Lecture120 min.

##### Entropy and Temperature

Thermal and Statistical Physics 2020paramagnet entropy temperature statistical mechanics

These lecture notes for the second week of Thermal and Statistical Physics involve relating entropy and temperature in the microcanonical ensemble, using a paramagnet as an example. These notes include a few small group activities.*assignment*Gibbs sum for a two level system*assignment*Homework##### Gibbs sum for a two level system

Gibbs sum Microstate Thermal average energy Thermal and Statistical Physics 2020Consider a system that may be unoccupied with energy zero, or occupied by one particle in either of two states, one of energy zero and one of energy \(\varepsilon\). Find the Gibbs sum for this system is in terms of the activity \(\lambda\equiv e^{\beta\mu}\). Note that the system can hold a maximum of one particle.

Solve for the thermal average occupancy of the system in terms of \(\lambda\).

Show that the thermal average occupancy of the state at energy \(\varepsilon\) is \begin{align} \langle N(\varepsilon)\rangle = \frac{\lambda e^{-\frac{\varepsilon}{kT}}}{\mathcal{Z}} \end{align}

Find an expression for the thermal average energy of the system.

Allow the possibility that the orbitals at \(0\) and at \(\varepsilon\) may each be occupied each by one particle at the same time; Show that \begin{align} \mathcal{Z} &= 1 + \lambda + \lambda e^{-\frac{\varepsilon}{kT}} + \lambda^2 e^{-\frac{\varepsilon}{kT}} \\ &= (1+\lambda)\left(1+e^{-\frac{\varepsilon}{kT}}\right) \end{align} Because \(\mathcal{Z}\) can be factored as shown, we have in effect two independent systems.

*assignment*Gibbs entropy is extensive*assignment*Homework##### Gibbs entropy is extensive

Gibbs entropy Probability Thermal and Statistical Physics 2020Consider two

*noninteracting*systems \(A\) and \(B\). We can either treat these systems as separate, or as a single combined system \(AB\). We can enumerate all states of the combined by enumerating all states of each separate system. The probability of the combined state \((i_A,j_B)\) is given by \(P_{ij}^{AB} = P_i^AP_j^B\). In other words, the probabilities combine in the same way as two dice rolls would, or the probabilities of any other uncorrelated events.- Show that the entropy of the combined system \(S_{AB}\) is the sum of entropies of the two separate systems considered individually, i.e. \(S_{AB} = S_A+S_B\). This means that entropy is extensive. Use the Gibbs entropy for this computation. You need make no approximation in solving this problem.
- Show that if you have \(N\) identical non-interacting systems, their total entropy is \(NS_1\) where \(S_1\) is the entropy of a single system.

##### Note

In real materials, we treat properties as being extensive even when there are interactions in the system. In this case, extensivity is a property of large systems, in which surface effects may be neglected.-
Energy and Entropy 2020
The Gibbs free energy,
\(G\), is given by
\begin{align*}
G = U + pV - TS.
\end{align*}
- Find the total differential of \(G\). As always, show your work.
- Interpret the coefficients of the total differential \(dG\) in order to find a derivative expression for the entropy \(S\).
- From the total differential \(dG\), obtain a different thermodynamic derivative that is equal to \[ \left(\frac{\partial {S}}{\partial {p}}\right)_{T} \]