MAXWELL-BOLTZMANN STATISTICS momentum space

In summary: This allows us to calculate the number of particles in a certain energy state or in a certain phase space element using the same equation.
  • #1
eileen6a
19
0
here is the notes:
we have the MB statistics or distribution
ns = Agsexp(-es/kT) (1)
This is only for a set of discrete energy levels es. In this section, we shall see how (1) can be applied to a variety of situations. For instance, how can we use this distribution for an ideal gas which does not have truly discrete energy levels.

PHASE SPACE
Let us now consider an ideal gas which is monatomic and the only energy possessed by each particle is the ke by virtue of its momentum p
e = p2/2m = (px2 + py2 + pz2)/2m (2)
where m is the mass, p is the total momentum magnitude and px etc. are the momentum components in the Cartician frame. In Statistical Mechanics, the space containing statistical states is called the “phase space” J, where
J= dxdydz×dpxdpydpz (3)
Thus, the phase space has six dimensions, three for the real space and three for the momentum space. For an ideal gas of volume V, we know that the states are uniform throughout this volume V and thus we can integrate the first (spatial) part
int(dxdydz) = V (4)
Therefore the phase space element now only contains the momentum variable,
J = Vdpxdpydpz (5)
We now treat the gas as having a pseudo discrete energy levels system with energy and momentum given in (2). In this case, we can replace gs and es in (1) by g and e.
Further, let B be the size of the phase space occupied by one state. The relationship between the weight(degeneracy) g and the phase space element in (5) is
g = J/B = (V/B)dpxdpydpz (6)
The MB distribution of (1) now becomes
dn = ns = A(V/B)dpxdpydpzexp(-e/kT)
i know that ns = Agsexp(-es/kT)

My question is:
1.In momentum space why can we treat the gas as having a pseudo discrete energy levels system with energy and momentum and replace gs and es in by g and e?
2.why dn = ns?
 
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  • #2


1. In momentum space, we can treat the gas as having a pseudo discrete energy levels system because the energy of each particle is solely determined by its momentum, as shown in equation (2). This means that each particle has a specific energy value, even though the energy levels are not truly discrete. Therefore, we can use the same distribution (1) for an ideal gas, by replacing gs and es with g and e, which represent the weight (degeneracy) and energy of the system. This allows us to apply the same principles of statistical mechanics to the ideal gas, even though it does not have truly discrete energy levels.

2. The reason why dn = ns is because both quantities represent the number of particles in a certain energy state. In equation (1), ns represents the number of particles in the energy state with energy es, while in equation (6), dn represents the number of particles in a certain phase space element with energy e. Since the energy levels are pseudo discrete, we can equate these two quantities and use the same distribution for both cases.
 

What is Maxwell-Boltzmann statistics in momentum space?

Maxwell-Boltzmann statistics in momentum space is a mathematical framework used to describe the distribution of velocities of particles in a gas at a given temperature. It is based on the assumptions of classical mechanics and provides a way to calculate the likelihood of a particle having a specific momentum.

What is the significance of Maxwell-Boltzmann statistics in momentum space?

Maxwell-Boltzmann statistics in momentum space is significant because it helps us to understand the behavior of gases at a molecular level. It allows us to make predictions about the distribution of velocities of particles in a gas, which is important in many fields such as thermodynamics, fluid mechanics, and atmospheric science.

How is Maxwell-Boltzmann statistics in momentum space derived?

Maxwell-Boltzmann statistics in momentum space is derived using statistical mechanics, which is a branch of physics that uses probability theory to describe the behavior of large systems of particles. By considering the interactions between particles and using the laws of thermodynamics, we can derive the equations that describe the distribution of velocities in a gas.

What are the assumptions of Maxwell-Boltzmann statistics in momentum space?

The assumptions of Maxwell-Boltzmann statistics in momentum space include that the particles in the gas are non-interacting, have no preferred direction of motion, and are in thermal equilibrium. It also assumes that the particles are distinguishable and that the system is in a state of equilibrium.

How is Maxwell-Boltzmann statistics in momentum space different from other statistical distributions?

Maxwell-Boltzmann statistics in momentum space is different from other statistical distributions because it specifically describes the distribution of velocities in a gas, whereas other distributions may describe different properties such as energy or position. Additionally, Maxwell-Boltzmann statistics is derived from classical mechanics, while other distributions may be derived from quantum mechanics or other theories.

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