Understanding basic statistical mechanics formulas

In summary, the conversation discusses two formulas related to velocity and speed distributions. The first formula is fs(v) = f(vx)f(vy)f(vz)dxdydz, while the second formula involves a function of the velocity, u=F(v), and a distribution function, f(v). The Maxwell-Boltzmann distribution is used as an example to calculate the distribution. The conversation also introduces the concept of spherical symmetry and a function g(theta, |v|) that is equal to half of the speed distribution function, fs(v), multiplied by the sine of the angle.
  • #1
phantomvommand
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Screenshot 2021-02-25 at 10.45.20 PM.png

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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  • #2
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.
 
  • #3
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
$$p(u)=\int_0^{\infty} \mathrm{d} v \int_0^{\pi} \mathrm{d} \vartheta v^2 \sin \vartheta N \exp[-m v^2/(2kT)] \delta(u-v)=4 \pi N u^2 \exp[-m u^2/(2kT)].$$
 
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  • #4
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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1. What is statistical mechanics?

Statistical mechanics is a branch of physics that uses statistical methods to explain the behavior of a large number of particles or systems. It helps us understand the properties of matter and the laws that govern their behavior at a microscopic level.

2. What are the basic formulas used in statistical mechanics?

The basic formulas used in statistical mechanics include the Boltzmann distribution, partition function, and entropy. These formulas help us calculate the probabilities of different states of a system and understand the distribution of particles within the system.

3. How do statistical mechanics formulas relate to thermodynamics?

Statistical mechanics and thermodynamics are closely related. The formulas used in statistical mechanics help us understand the macroscopic properties of a system, such as temperature and pressure, which are also studied in thermodynamics.

4. What are some real-world applications of statistical mechanics formulas?

Statistical mechanics has many applications in various fields such as chemistry, biology, and engineering. It is used to study the behavior of gases, liquids, and solids, as well as complex systems like biological molecules and materials.

5. How can I improve my understanding of statistical mechanics formulas?

To improve your understanding of statistical mechanics formulas, it is important to have a strong foundation in mathematics and physics. It is also helpful to practice solving problems and applying the formulas to real-world scenarios. Reading textbooks and attending lectures or workshops can also aid in understanding the concepts and applications of statistical mechanics.

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