Normal (probability) distribution and Partition function.

Click For Summary
SUMMARY

The discussion centers on the relationship between the partition function and normal distribution in statistical mechanics. It establishes that if the Hamiltonian is quadratic in momenta and positions, the particles will follow a normal distribution, which is synonymous with a Gaussian distribution. The partition function is defined as Z(β)=(N!)^{-1}∫_{V}dx_1 dx_2 ... dx_N exp(-βH), emphasizing the necessity to integrate over both positions and momenta. This confirms that the probability distribution for particles is proportional to exp(-βH), validating the normal distribution under these conditions.

PREREQUISITES
  • Understanding of statistical mechanics concepts
  • Familiarity with Hamiltonian mechanics
  • Knowledge of Gaussian distributions
  • Proficiency in calculus for integration
NEXT STEPS
  • Study the derivation of the partition function in statistical mechanics
  • Learn about the properties of Gaussian distributions in physics
  • Explore the implications of quadratic Hamiltonians on particle distributions
  • Investigate the Maxwell-Boltzmann distribution and its relation to normal distributions
USEFUL FOR

This discussion is beneficial for physicists, statisticians, and researchers in thermodynamics and statistical mechanics, particularly those interested in the behavior of particles in various potentials.

Kevin_spencer2
Messages
29
Reaction score
0
Let be the continuous partition function:

[tex]Z(\beta)=(N!)^{-1}\int_{V}dx_1 dx_2 dx_3 dx_4 ...dx_N exp(-\beta H(x_1, x_2 , x_3 , ... ,x_n,p_1 , p_2 , ..., p_N[/tex]

if the Hamiltonian is 'quadratic' in p's are q's do this mean that the particles in the gas solid or whatever follow a Normal distribution (is Maxwell distribution under a quadratic potential or with U=0 potential a Normal distribution??)
 
Physics news on Phys.org
Hi Kevin,

First a notational issue, you need to also integrate over the momenta, not just the positions, to get the partition function.

Now, to answer your question, a normal distribution is synonymous with a Gaussian distribution. A Gaussian or normal random variable has a probability distribution which is an exponential of an expression quadratic in the variable. Hence, since the probability distribution for your particles is proportional to [tex]\exp{(-\beta H)}[/tex], the positions and momenta of your particles are normal random variables if the Hamiltonian is quadratic in those positions and momenta.
 

Similar threads

  • · Replies 5 ·
Replies
5
Views
2K
  • · Replies 15 ·
Replies
15
Views
2K
  • · Replies 20 ·
Replies
20
Views
5K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 4 ·
Replies
4
Views
1K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 1 ·
Replies
1
Views
1K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 2 ·
Replies
2
Views
3K
Replies
8
Views
2K