Understanding basic statistical mechanics formulas

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The discussion focuses on understanding key statistical mechanics formulas related to velocity and speed distributions. The first formula connects speed distribution to velocity distribution through a transformation involving spherical coordinates. The second formula addresses the significance of the angle in velocity vectors, emphasizing that it describes the fraction of molecules within a speed interval at a specific angle from an axis. The Maxwell-Boltzmann distribution is used to illustrate how to derive the distribution for any function of velocity. Overall, the conversation clarifies how to interpret these formulas and their implications in statistical mechanics.
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Firstly, I would like to check my understanding of the first formula:
Using velocity distribution = f(v), speed distribution = fs(v):
fs(v) = f(vx)f(vy)f(vz)dxdydz, since dxdydz = 4pi*v^2*dv, fs(v) = 4piv^2f(v)

The second formula is the confusing one:
What does it mean? What is the significance/meaning of the "angle"?
 
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Velocity is a vector, which means it has magnitude and direction. As stated, (2.33) gives the fraction of molecules that are within a speed interval and moving at an angle between ##\theta## and ##\theta+d\theta## measured from some axis. Equation (2.33) does not take direction into account and gives you the distribution in all directions.
 
If you have the distribution ##f(\vec{v})## for the velocity, then you get the distribution for any function of ##u=F(\vec{v})## by
$$p(u)=\int_{\mathbb{R}^3} \mathrm{d}^3 v f(\vec{v}) \delta[u-F(\vec{v})].$$
For the Maxwell-Boltzmann distribution it's easy to calculate, because in this case
$$f(\vec{v})=N \exp[-m v^2/(2 k T)].$$
Then just introduce spherical coordinates ##v,\vartheta,\varphi## and ##F(\vec{v})=v## in the general formula
$$p(u)=\int_0^{\infty} \mathrm{d} v \int_0^{\pi} \mathrm{d} \vartheta v^2 \sin \vartheta N \exp[-m v^2/(2kT)] \delta(u-v)=4 \pi N u^2 \exp[-m u^2/(2kT)].$$
 
let ##g : R \times R \rightarrow R, (\theta, |v|) \mapsto g(\theta, |v|)##, where ##v \in R^3## and ##|v| = \sqrt{\langle v,v \rangle}##. by spherical symmetrie, ##f(v) = H(|v|)## for some ##H##$$\begin{align*}

\mathbb{P}(a < |v| < b \text{ and } \theta \leq c) &= \int_0^c \int_a^b g(\theta, |v|) d|v| d\theta \\

&\overset{!}{=} \int_0^{c} \int_{0}^{2\pi} \int_a^b f(v) |v|^2 \sin{\theta} \, d|v| d\phi d\theta \\

&= \int_0^c \int_a^b 2 \pi |v|^2 f(v) \sin{\theta} \, d|v| d\theta

\end{align*}$$follow that $$g(\theta, |v|) = 2\pi |v|^2 f(v) \sin{\theta} = \frac{1}{2} \left(4\pi |v|^2 f(v) \right) \sin{\theta} = \frac{1}{2} f_s(|v|) \sin{\theta}$$
 
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