High School Microcanonical vs. Canonical Partition Functions: What's the Difference?

Click For Summary
The microcanonical and canonical partition functions differ primarily in what quantities are held constant; the microcanonical ensemble maintains total energy, volume, and particle number, while the canonical ensemble keeps temperature constant. Their mathematical expressions are distinct: the canonical partition function Z(N,V,T) depends on temperature, volume, and particle number, whereas the microcanonical partition function \Omega(N,V,E) is based on energy, volume, and particle number. The microcanonical partition function is often referred to as the "density of states." These functions are connected to thermodynamic properties, with Z relating to Helmholtz free energy and \Omega to entropy. Understanding these differences is crucial for applying statistical mechanics effectively.
soumobrata
Messages
4
Reaction score
1
What is the difference between micro canonical Partition function and canonical Partition function?
Is the mathematical expression of the above two Partition function are same?
If it is then why??
[emoji29]
 
Physics news on Phys.org
As I understand it, the various types of ensembles differ in what is held constant, and what is allowed to change (by exchanging something with the environment--energy, or particles, or whatever). The microcanonical ensemble holds the following quantities fixed:
  1. Total Energy
  2. Volume
  3. Number of particles (of each type)
For a canonical ensemble, instead of holding the total energy constant, the temperature is held constant.

The expressions for the partition function definitely are different in the two cases. The canonical partition function, Z(N,V,T) is a function of T, V, and N, while the microcanonical partition function, \Omega(N,V,E) is a function of E, V and N. The microcanonical partition function is usually called the "density of states". They are related to thermodynamic quantities:

Z = e^{-A/kT} where A is the Helmholtz free energy, A = E - TS.
\Omega = e^{S/k} where S is the entropy
 
  • Like
Likes soumobrata
Thanks i will show u a problem tomorrow...then my doubts wiil be clear!
 

Similar threads

  • · Replies 9 ·
Replies
9
Views
3K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 9 ·
Replies
9
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 12 ·
Replies
12
Views
3K
  • · Replies 3 ·
Replies
3
Views
3K
  • · Replies 2 ·
Replies
2
Views
2K
Replies
2
Views
3K
Replies
5
Views
2K