物理统计学 Statistical Physics II|PHYS7722 Boston College Assignment

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Instructions:

Statistical physics is a branch of physics that studies the behavior of large collections of particles, such as atoms or molecules, using statistical methods. It aims to explain macroscopic properties of matter, such as temperature, pressure, and entropy, in terms of the microscopic properties of the constituent particles and the interactions between them.

Statistical physics is based on the principles of probability and statistics, and it provides a framework for understanding complex systems that cannot be analyzed through classical physics. It also provides a link between the microscopic world of quantum mechanics and the macroscopic world of classical mechanics.

物理统计学 Statistical Physics II|PHYS7722 Boston College Assignment

问题 1.

The partition function for an ideal gas of $N$ distinguishable particles where particle $k$ has mass $m_k$ can be written as
$$
Z=\frac{1}{h^{3 N}} \int_V d^3 \mathbf{q}1 \int{\text {all } \mathbf{p}} d^3 \mathbf{p}1 \cdots \int_V d^3 \mathbf{q}_N \int{\text {all } \mathbf{p}} d^3 \mathbf{p}N \exp \left(-\frac{1}{k_B T} \sum{k=1}^N \frac{\mathbf{p}_k^2}{2 m_k}\right) .,
$$
where $V$ is the volume of the system.
(a) Evaluate all the integrals in Eq.(40) and write the final result in terms of $T, V, N$ and the set of masses $m_1, m_2, \ldots, m_N$ (and physical constants).

证明 .

We can evaluate the integrals by using the fact that they represent the phase space integral for each particle. The integral $\int{d^3\mathbf{q}_k} \int{\text{all } \mathbf{p}_k}d^3\mathbf{p}_k$ represents the phase space integral for the $k$th particle. We can perform this integral by changing to spherical coordinates for the momentum integral and making use of the fact that the volume element $d^3 \mathbf{p}$ is $4\pi p^2dp$, where $p$ is the magnitude of the momentum vector. Thus, we have

$\int d^3 \mathbf{q}_k \int$ all $\mathbf{p}_k d^3 \mathbf{p}_k=V \int_0^{\infty} 4 \pi p_k^2 d p_k=\frac{4}{3} \pi V\left(\frac{2 \pi m_k k_B T}{h^2}\right)^{3 / 2}$

Using this result, we can evaluate the integral over all particles in the partition function: \begin{align*} Z &= \frac{1}{h^{3N}} \prod_{k=1}^N \int{d^3\mathbf{q}_k} \int{\text{all } \mathbf{p}k}d^3\mathbf{p}k \exp \left(-\frac{1}{k_B T} \sum{k=1}^N \frac{\mathbf{p}k^2}{2m_k}\right)\ &= \frac{1}{h^{3N}} \prod{k=1}^N \frac{4}{3} \pi V \left(\frac{2\pi m_k k_B T}{h^2}\right)^{3/2} \exp \left(-\frac{1}{k_B T} \frac{\mathbf{p}k^2}{2m_k}\right)\ &= \frac{1}{N! h^{3N}} V^N \prod{k=1}^N \left(\frac{2\pi m_k k_B T}{h^2}\right)^{3/2} \exp \left(-\frac{1}{k_B T} \frac{\mathbf{p}k^2}{2m_k}\right)\ &= \frac{1}{N!} \left(\frac{V}{v_N}\right)^N \prod{k=1}^N \left(\frac{mk_B T}{2\pi\hbar^2}\right)^{3/2}, \end{align*} where $v_N$ is the volume occupied by a single particle, defined by $v_N = \frac{4}{3}\pi\left(\frac{\hbar}{\sqrt{2\pi mk_B T}}\right)^3$ and $m$ is the average mass of a particle, defined by $m = \frac{1}{N}\sum{k=1}^N m_k$. The result is written in terms of physical constants and the set of masses $m_1, m_2, \ldots, m_N$.

问题 2. What is the free energy of this system written in terms of $T, V, N$ and the set of masses $m_1, m_2, \ldots, m_N$ (and physical constants).

证明 .

(b) Given the partition function $Z$ of a system, the free energy is
$$
F=-k_B T \ln Z
$$
Therefore, the free energy of this ideal gas system is
$$
\begin{aligned}
F & =-k_B T \ln \left[\frac{V^N}{h^{3 N}}\left(2 \pi k_B T\right)^{3 N / 2} \prod_{k=1}^N \sqrt{m_k^3}\right] \
& =-k_B T \ln \left[V^N\left(\frac{2 \pi k_B T}{h^2}\right)^{3 N / 2} \prod_{k=1}^N m_k^{3 / 2}\right] \
& =-k_B T\left[N \ln V+\frac{3 N}{2} \ln \frac{2 \pi k_B T}{h^2}+\frac{3}{2} \sum_{k=1}^N \ln m_k\right] .
\end{aligned}
$$

问题 3.

(c) Given that pressure is the negative of the volume partial derivative of the free energy, derive the relationship between pressure $P$, number of particles $N$, volume $V$ and temperature $T$ for this system.

证明 .

(c) The pressure of an ideal gas system is given by
$$
P=-\frac{\partial F}{\partial V}
$$
Computing the pressure from Eq.(45), we find
$\begin{aligned} P & =-\frac{\partial}{\partial V}\left{-k_B T\left[N \ln V+\frac{3 N}{2} \ln \frac{2 \pi k_B T}{h^2}+\frac{3}{2} \sum_{k=1}^N \ln m_k\right]\right} \ & =k_B T \frac{\partial}{\partial V} N \ln V=k_B T N \frac{1}{V},\end{aligned}$
where in the second line we dropped all terms which were independent of $V$. Therefore, we have
$$
P=\frac{N k_B T}{V}
$$
which is the standard ideal gas law for identical particles. Therefore, we see that the ideal gas law does not change when the particles are not identical.

这是一份2023年的波士顿学院Boston College PHYS7722 物理统计学代写的成功案例




















统计物理学 Statistical Physics I|PHYS7721Boston College Assignment

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Assignment-daixieTM为您提供波士顿学院Boston College PHYS7721 Statistical Physics I 统计物理学代写代考辅导服务!





Instructions:

Statistical physics is a branch of physics that uses statistical methods to explain the behavior of systems made up of many interacting particles. It seeks to understand the collective behavior of these particles in terms of the laws of physics and probability theory.

In statistical physics, the properties of a macroscopic system, such as temperature, pressure, and entropy, are derived from the statistical properties of the individual particles that make up the system. This approach is based on the assumption that the particles are in thermal equilibrium and that their interactions can be treated statistically.

One of the central concepts in statistical physics is the partition function, which is used to calculate the thermodynamic properties of a system. The partition function is a sum over all possible states of the system, weighted by their probability.

Statistical physics has many applications in fields such as condensed matter physics, astrophysics, and biophysics. It is also used in the study of phase transitions, critical phenomena, and the behavior of complex systems.

统计物理学 Statistical Physics I|PHYS7721Boston College Assignment

问题 1.

For a particular model of a gene in a cell, the probability density that said gene produces a concentration $x$ of proteins during the cell cycle is given by
$$
p(x)=A\left(\frac{x}{b}\right)^N e^{-x / b},
$$
where $b$ is a biological constant with units of concentration, $N$ is a physical constant, and $A$ is a normalization parameter.
(a) The concentration of proteins that can be produced ranges from zero to infinite. What must $A$ be in order for Eq.(1) to be normalized?

证明 .

(a) Given the range of possible protein production, $x$ can go from 0 to $\infty$. Therefore, for $p(x)$ to be normalized, we must obtain 1 when we integrate the function over this entire domain:
$$
\int_0^{\infty} d x p(x)=1 .
$$
From the definition of the probability density we have
$$
\begin{aligned}
1 & =\int_0^{\infty} d x A\left(\frac{x}{b}\right)^N e^{-x / b} \
& =A \int_0^{\infty} d x\left(\frac{x}{b}\right)^N e^{-x / b} \
& =A \int_0^{\infty} d u b u^N e^{-u} \
& =A b \int_0^{\infty} d u u^N e^{-u},
\end{aligned}
$$
where we changed variables with $u=x / b$ in the third line, and factored the $u$-independent constant out of the integral in the final line. By the integral definition of factorial, we have
$$
N !=\int_0^{\infty} d u u^N e^{-u} .
$$
Therefore, the final line of Eq.(4) becomes
$$
1=A b N !,
$$
and we can conclude
$$
A=\frac{1}{b N !} .
$$

The normalized probability density is therefore
$$
p(x)=\frac{1}{b N !}\left(\frac{x}{b}\right)^N e^{-x / b} .
$$

问题 2. (b)What is the mean of the normalized probability density?

证明 .

(b) The mean of a random variable defined by the probability density $p(x)$ (which has a nonzero domain for $x \in[0, \infty)$ ) is
$$
\langle x\rangle=\int_0^{\infty} d x \operatorname{xp}(x) .
$$
Using Eq.(8) to compute this value, we obtain
$$
\begin{aligned}
\langle x\rangle & =\int_0^{\infty} d x x \frac{1}{b N !}\left(\frac{x}{b}\right)^N e^{-x / b} \
& =\frac{1}{N !} \int_0^{\infty} d x\left(\frac{x}{b}\right)^{N+1} e^{-x / b} \
& =\frac{1}{N !} \int_0^{\infty} d u b u^{N+1} e^{-u} \
& =b \frac{(N+1) !}{N !}
\end{aligned}
$$
where in the third line we performed a change of variables with $u=x / b$ and in the final line we used Eq. By the definition of factorial, we ultimately find
$$
\langle x\rangle=b(N+1)
$$

问题 3.

(c) For this probability distribution, compute the average
$$
\left\langle e^{x / a}\right\rangle,
$$
and write the result in terms of an infinite sum over a binomial coefficient. (Note that $e^x=$ $\sum_{j=0}^{\infty} x^j / j !$.)

证明 .

(c) We now seek to compute the average of $e^{x / a}$. Noting the Taylor series definition of the exponential
$$
e^{x / a}=\sum_{j=0}^{\infty} \frac{(x / a)^j}{j !},
$$
we have
$$
\begin{aligned}
\left\langle e^{x / a}\right\rangle & =\left\langle\sum_{j=0}^{\infty} \frac{(x / a)^j}{j !}\right\rangle \
& =\sum_{j=0}^{\infty} \frac{1}{j !} \frac{1}{a^j}\left\langle x^j\right\rangle .
\end{aligned}
$$
Computing $\left\langle x^j\right\rangle$ yields
$$
\begin{aligned}
\left\langle x^j\right\rangle & =\int_0^{\infty} d x x^j \frac{1}{b N !}\left(\frac{x}{b}\right)^N e^{-x / b} \
& =\frac{b^j}{b N !} \int_0^{\infty} d x\left(\frac{x}{b}\right)^{N+j} e^{-x / b} \
& =\frac{b^j}{b N !} \int_0^{\infty} d u b u^{N+j} e^{-u}
\end{aligned}
$$

$$
=b^j \frac{(N+j) !}{N !}
$$
where in the second line we multiplied the numerator and the denominator by $b^j$, in the third line we performed a change of variables $u=x / b$, and in the final line we used Eq.(5). Inserting this result into Eq.(13), we find
$$
\left\langle e^{x / a}\right\rangle=\sum \sum_{j=0}^{\infty} \frac{1}{j !} \frac{1}{a^j} b^j \frac{(N+j) !}{N !}=\sum_{j=0}^{\infty} \frac{(N+j) !}{j ! N !}\left(\frac{b}{a}\right)^j,
$$
or
$$
\left\langle e^{x / a}\right\rangle=\sum_{j=0}^{\infty}\left(\begin{array}{c}
N+j \
j
\end{array}\right)\left(\frac{b}{a}\right)^j
$$
We note that we could evaluate $\left\langle e^{x / a}\right\rangle$ directly using a change of variables in the argument of the exponential of the distribution. The result would be
$$
\begin{aligned}
\left\langle e^{x / a}\right\rangle & =\frac{1}{b N !} \int_0^{\infty} d x e^{x / a}\left(\frac{x}{b}\right)^N e^{-x / b} \
& =\frac{1}{b N !} \int_0^{\infty} d x\left(\frac{x}{b}\right)^N e^{-(1 / b-1 / a) x} \
& =\frac{1}{b N !} \int_0^{\infty} d u \frac{a b}{a-b}\left(\frac{a u}{a-b}\right)^N e^{-u} \
& =\frac{1}{N !}\left(\frac{a}{a-b}\right)^{N+1} \int_0^{\infty} d u u^N e^{-u} \
& =\frac{1}{(1-b / a)^{N+1}},
\end{aligned}
$$
where in the second line we made the change of variables $u=x(a-b) / a b$. Considering Eq.(16), the result Eq.(17) implies
$$
\sum_{j=0}^{\infty}\left(\begin{array}{c}
N+j \
j
\end{array}\right) q^j=\frac{1}{(1-q)^{N+1}}
$$

这是一份2023年的波士顿学院Boston College PHYS7721统计物理学代写的成功案例