1. Exercise #1

due date: October 25 2021

a) Consider the following thermodynamic cycle:

ex_01.png

  • Draw the cycle in the T-S plane.

  • Calculate the total work exerted by the system (W).

  • Calculate the total heat exchanged by the system (Q).

  • Calculate the efficiency $\eta={W}/{Q_{abs}}$ where $Q_{abs}$ is the absorbed heat.

b) Include the fluctuation of number of particle in the description of stability and thermodynamic fluctuations. Perform the calculations in the variables T,V,N and S,P,N.

  • Are fluctuations in these variables uncorrelated?

In the following you can alternatively choose c1) or c2).

c1) Read the notes about the Kac ring model:

  • which set of variables describes a microscopic state?

  • which set of variables describes the macroscopic state?

  • write a code to calculate the number of black and white point (you can also do it considering a small size say N=4 and doing the evolution by hand…)

  • compare the output of the code with the "molecular-chaos" solution given in the notes and discuss the results.

c2) Read the notes about the Logistic map:

  • write a code to calculate the map evolution and the Lyapunov exponent.

  • discuss the results in the parameters space described in the note discussing the local stability and the Lyapunov exponent.

d1) Consider only one one-dimensional classical harmonic oscillator

  • write the Hamilton equation and plot a typical trajectory in the phase space

  • is the system chaotic?

d2) now consider an ensemble made of replicas of the previous case i.e. one-dimensional classical harmonic oscillator with same $\omega$ and mass

  • write the Liouville’s evolution for and ensemble of such systems using momenta and position as variables

  • consider an isoenergetic ensemble of oscillators (all osc. have energy=E). This ensemble starts with random phases between $\phi_0$ and $\phi_0+\Delta$. In such conditions evaluate $<x(t)>$. Does it tends to a constant value? Is the system ergodic? Is the system mixing?

NAME ID a) b) c) d)

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D

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D

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B

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B

B-

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D

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2. Exercise #2

due date: November 15 2021

a) Consider N classical independent one-dimensional harmonic oscillators (mass $m_i$, frequency $\omega_i$ $i=1,N$) whose initial data are taken according Boltzmann distribution for position and momenta at temperature $T$. Let them evolve and calculate the following correlation functions:

$C_{i,j}(t,t')=< p_i(t)p_j(t') >$, $G_{i,j}(t,t')=< x_i(t)x_j(t') >$ where averages and taken on the Boltzmann distribution of initial data.

By assuming a distribution of the oscillator’s frequencies ($\omega_i>0$) $P(\omega)\propto \omega^2 \;\;\; \omega<\Lambda$ as well as equal masses for all oscillators calculate in the large $N$ limit:

$C(t,t')=(1/N)\sum_{i,j} C_{i,j}(t,t')$, $G(t,t')=(1/N)\sum_{i,j} G_{i,j}(t,t')$

find the time evolution of these functions, temperature dependence and dependence on the cutoff $\Lambda$.

hint : express the solution for x and p as a function of initial data $x(0)$ and $p(0)$.

b) Consider quantum harmonic oscillators of frequency $\omega}$ in two distinct cases

  1. An ensemble of thermalized oscillators described by the density matrix $\hat{\rho}=\sum_n P_n |n><n|$ where $|n>$ are eigenstates of harmonic oscillators and $P_n\propto \exp(-\beta E_n)$

  2. A pure state $|\psi>=\sum_n \sqrt{P_n}|n>$ with the same $P_n$ as in i)

In both case calculate $<x^2>$ as a function of temperature - assuming a Boltzmann distribution for $P_n$ - and comment the results.

c) Consider the BBGKY evolution equation for the reduced ensemble density of a classical system in the case of non interacting particles but in the presence of an external potential $\Phi(\vec{q})$.

Make the hypotesis that velocities are thermalised such that the one particle distribution can be written as

$\rho^{(1)}(\vec{p},\vec{q},t)=f(\vec{p})u^{(1)}(\vec{q},t)$

Demonstrate that the equilibrium distribution for the positional part is

$u^{(1)}(\vec{q})\propto \exp [-\beta \Phi(\vec{q}) $ ]

d) Read the chapter 3 of the textbook (Kerson Huang, "Statistical Mechanics", Second Edition, Wiley). Try to answer to one of the problems of the chapter at your convenience. If you dare you can try exercise 3.5 and for that it would be useful to read this paper

NAME ID a) b) c) d)

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B

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3. Exercise #3

due date: November 29th 2021

a) Following the lines of the notes derive the statistical properties of the noise term $\xi(t)$ as a result of the equilibrium distribution for the oscillators. Perform explicitly the $N\rightarrow \infty$ limit using the Ohmic spectral density. Does the noise correlation function behaviour depends on the $\omega\rightarrow 0$ behviour of the spectral density? You can optionally answer to this question trying to guess a spectral density which goes as $\omega^\alpha$ for small $\omega$.

b) Consider the stochastic equation for the moment of a particle under the action of external random forces $\xi(t)$ (in one dimension):

$\dot{p}(t)=-\gamma p(t) + \xi(t)$

where

$\langle \xi(t) \rangle = 0$

$\langle \xi(t) \xi(t')\rangle = 2 M \gamma k_b T \delta(t-t')$

  • Derive without approximation the average mean square displacement

$\Delta(t)=\langle |x(t)-x(0)|^2 \rangle$

  • Derive the behaviour of $\Delta(t)$ for large and small times and define the time scale above which the behaviour of $\Delta(t)$ is linear in time.

c) Consider the Fokker-Planck equation in one dimension

$\frac{\partial}{\partial t} P(x,t) = \frac{\partial}{\partial x} F(x)P(x,t) +\frac {\epsilon}{2}\frac{\partial^2}{\partial x^2} P(x,t)$

following the lines of the notes

show that for a potential problem

$F(x) = -\frac{\partial}{\partial x} V(x)$

the stationary distribution is given by

$P(x)=\exp(-2V(x)/\epsilon)$.

Derive the Maxwell Boltzmann distribution as stationary distribution of the momenta and of the position. For the position distribution use the overdamped approximation in the corresponding Langevin equation.

d) A polymer can be constructed as a three dimensional random walk where the position of the n+1-th monomer is given by

$\vec{r}_{n+1}=\vec{r}_{n}+a\hat{u}_{n+1}$

where $a$ is the monomer spacing and $\hat{u}$ is a random unit vector. The length of the polymer made by $N+1$ monomers can be estimated by

$\ell= \sqrt{\langle |\vec{r}_{N}-\vec{r}_{0}|^2 \rangle}}$

where the average is taken over the random orientation of the unit vectors $\hat{u}_n$.

  • Calculate the ratio $\ell/Na$ and comment the result.

NAME ID a) b) c) d)

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4. Exercise #4

due date: December 13th 2021

a) Consider a classical perfect gas and calculate the entropy in the canonical ensemble. Compare the result with that given, in the microcanonical ensemble, by the Sackur-Tetrode formula and show the ensemble equivalence in the thermodynamic limit.

b) Consider the following Hamiltonian for $N$ independent spin $\sigma=\pm 1$

$H=-gB\sum_i \sigma_i$

Where $B$ is the external magnetic field along $z$, $g$ a coupling constant and $\sigma_i$ the Pauli matrix $\sigma_z$ at a given site $i$. Spin operators at different sites commute.

Perform the calculation in the microcanonical ensemble at fixed total energy, calculate the entropy. Plot the dimensionless entropy per spin ($S/k_B N$) as a function of a suitably defined dimensionless energy.

Perform the calculation of the entropy in the canonical ensemble at fixed total temperature.

Compare the results of the previous two points by expressing the canonical entropy as a function of the internal energy.

Comment the result.

c) In the grandcanonical ensemble calculate the dimensionless ratio $\beta P/\rho$ where $\rho=N/V$ is the number density by performing a fugacity expansion in $z=\exp(\beta\mu)$ up to second order in $z$.

Perform the calculation in the case of an interacting classical gas with pair interactions.

Perform the calculation in the case of a quantum perfect gas in the case of Fermi-Dirac and Bose-Einstein statistics.

Express the result in term of the number density in both cases. Comment the two results.

d) Consider two one particle states made by one-dimensional gaussians

$g_1(x)=A\left ( \exp(-\frac{(x-x_0)}{2\sigma^2}) \right)^{1/2}$

$g_2(x)=A\left ( \exp(-\frac{(x+x_0)}{2\sigma^2}) \right)^{1/2}$

with $A$ being a normalisation constant. Using these states write a possible state for 2 fermions and 2 bosons in state $1$ or $2$ neglecting the spin component. Calculate the average distance $\langle | x_1-x_2 | ^2 \rangle$ as a function of $x_0$ (you can choose $\sigma^2=1$). Comment the results.

NAME ID a) b) c) d)

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SM01

B

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A

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B

A-

A

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5. Exercise #5

due date: 10 Jan 2021

a) Redo exercise #4 if you dont succeed to answer to some points in the previous homework session.

b) Consider the perfect Fermi and Bose gas with a general single particle dispersion $\epsilon(p)= a |p|^b$. Determine:

  • the density of the states (DOS)

ex_05_1.png
  • the relation between $PV$ and $U$ as a function of the DOS parameters

c) Consider a perfect gas of bosonic non-relativistic particles in $d$ dimensions. Discuss the existence of Bose-Einstein condensation as a function of the system dimensionality. Using the relation $PV=2 U/3$ prove that when $T<T_{BE}$ the pressure depends only on temperature and find its temperature dependence.

d) Prove that the equilibrium single-particle density matrix

ex_05_2.png

for a free particle is

ex_05_3.png

where $Z^{(1)}$ is the single particle partition function, $\lambda$ is the De Broglie wavelength and $|x>,|y>$ position eigenstates. Find the normalization $A$ for a tree dimensional space and the numerical coefficient $a$. Comment the results. Compare the result for $\langle x| \rho |y \rangle$ to that for $\langle p| \rho |p^\prime \rangle$ with $p$ and $p^\prime$ are three dimensional wave vectors.

e) A team of 12 reindeers pull the sleigh of QuantaClaus. Assume that (notwithstanding his belly) Quanta is a pointlike particle as well as the reindeers (which, as you know, can be safely approximated by spherical cows with zero radius). Write a Hamiltonian for the system in second quantisation and consider spinless reindeers.

  • Does the statistics of Quanta matter?

  • Could reindeers be $s=1/2$ fermions?

NAME ID a) b) c) d) e)

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