Interpreting microcanonical distribution

In summary, the expression ρ_{E_0}(\textbf{r,p}) = \delta(E_0 - \frac{1}{2}m^{-1}p^2-Zr^{-1}) is a representation of the microcanonical ensemble for a particle with energy E_0 moving around a fixed centre with a negative Coulomb potential. The delta function signifies the surface of constant energy in phase space, and at equilibrium, the probability of the system being found in any accessible microstate is the same.
  • #1
jjr
51
1
I'm trying to interpret the expression of a microcanonical distribution for energy [itex]E_0[/itex] of a particle of mass m moving about a fixed centre to which it is attracted by a Coulomb potential, [itex]Zr^{-1}[/itex], where [itex]Z[/itex] is negative. The function expression looks like this:

[itex]ρ_{E_0}(\textbf{r,p}) = \delta(E_0 - \frac{1}{2}m^{-1}p^2-Zr^{-1})[/itex].

Most of the stuff in the expression is understandable, but I am not sure what the delta signifies here. Any help?

Thanks!
J
 
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  • #2
In the microcanonical ensemble the system lies on a surface of constant energy in phase space so the probability distribution has to vanish off of the constant energy surface. The argument in the delta function just represents this surface.
 
  • #3
So [itex] E_0 ≠ \frac{1}{2}m^{-1}p^2+Zr^{-1} → ρ_{E_0}(\textbf{r,p}) = 0 [/itex] ?

Does the original expression actually say something about the distribution itself, or only about this property?
 
  • #4
jjr said:
So [itex] E_0 ≠ \frac{1}{2}m^{-1}p^2+Zr^{-1} → ρ_{E_0}(\textbf{r,p}) = 0 [/itex] ?

Yes.

jjr said:
Does the original expression actually say something about the distribution itself, or only about this property?

Well what you originally wrote down is not complete. It should be ##\rho = \frac{\delta(E - E_0)}{\Omega_{E_0}}## where ##\Omega_{E_0}## is the phase space volume accessible to the microstates. This simply says that at equilibrium the probability of the system being found in any of the accessible microstates is the same for all microstates.
 
  • #5
Great! Thanks for helping me out
 

FAQ: Interpreting microcanonical distribution

What is the microcanonical distribution?

The microcanonical distribution is a probability distribution used in statistical mechanics to describe the distribution of energy among the particles in a closed system that is in thermal equilibrium.

How is the microcanonical distribution different from other distributions?

The microcanonical distribution differs from other distributions, such as the canonical distribution, because it is used for systems that are isolated and do not exchange energy with their surroundings. It also assumes that all possible microstates of the system are equally likely.

What is the role of entropy in interpreting the microcanonical distribution?

Entropy plays a crucial role in interpreting the microcanonical distribution. It is directly related to the number of microstates that a system can have at a given energy, and it determines the probability of a particular microstate occurring in the system.

How is the microcanonical distribution derived?

The microcanonical distribution is derived using the principle of equal a priori probabilities, which states that in the absence of any external information, all microstates of a closed system are equally likely to occur. This principle, along with the constraints of energy conservation and the total number of particles in the system, leads to the derivation of the microcanonical distribution.

What are some applications of the microcanonical distribution?

The microcanonical distribution is used in various fields, including thermodynamics, statistical mechanics, and astrophysics, to analyze and understand the behavior of isolated systems. It is also used in simulations and experiments to study the energy distribution of particles in a closed system.

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