Ensemble average (statistical mechanics)

Short description: Mean of a quantity that is a function of the microstate of a system

In statistical mechanics, the ensemble average is defined as the mean of a quantity that is a function of the microstate of a system, according to the distribution of the system on its micro-states in this ensemble.

Since the ensemble average is dependent on the ensemble chosen, its mathematical expression varies from ensemble to ensemble. However, the mean obtained for a given physical quantity doesn't depend on the ensemble chosen at the thermodynamic limit. The grand canonical ensemble is an example of an open system.

## Contents

* 1 Canonical ensemble average
* 1.1 Classical statistical mechanics
* 1.2 Quantum statistical mechanics
* 2 Ensemble average in other ensembles
* 2.1 Microcanonical ensemble
* 2.2 Canonical ensemble
* 2.3 Grand canonical ensemble
* 3 See also

## Canonical ensemble average

### Classical statistical mechanics

For a classical system in thermal equilibrium with its environment, the ensemble average takes the form of an integral over the phase space of the system:

A¯=∫Ae−βH(q1,q2,...qM,p1,p2,...pN)dτ∫e−βH(q1,q2,...qM,p1,p2,...pN)dτ

where:

A¯ is the ensemble average of the system property A,

β is 1kT, known as thermodynamic beta,

H is the Hamiltonian of the classical system in terms of the set of coordinates qi and their conjugate generalized momenta pi, and

dτ is the volume element of the classical phase space of interest.

The denominator in this expression is known as the partition function, and is denoted by the letter Z.

### Quantum statistical mechanics

In quantum statistical mechanics, for a quantum system in thermal equilibrium with its environment, the weighted average takes the form of a sum over quantum energy states, rather than a continuous integral:

A¯=∑iAie−βEi∑ie−βEi

## Ensemble average in other ensembles

The generalized version of the partition function provides the complete framework for working with ensemble averages in thermodynamics, information theory, statistical mechanics and quantum mechanics.

### Microcanonical ensemble

The microcanonical ensemble represents an isolated system in which energy (E), volume (V) and the number of particles (N) are all constant.

### Canonical ensemble

The canonical ensemble represents a closed system which can exchange energy (E) with its surroundings (usually a heat bath), but the volume (V) and the number of particles (N) are all constant.

### Grand canonical ensemble

The grand canonical ensemble represents an open system which can exchange energy (E) as well as particles with its surroundings but the volume (V) is kept constant.

## See also

* Maxwell–Boltzmann statistics

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Statistical mechanics

Theory|

* Principle of maximum entropy
* ergodic theory

Statistical thermodynamics|

* Ensembles
* partition functions
* equations of state
* thermodynamic potential:
* U
* H
* F
* G
* Maxwell relations

Models|

* Ferromagnetism models
* Ising
* Potts
* Heisenberg
* percolation
* Particles with force field
* depletion force
* Lennard-Jones potential

Mathematical approaches|

* Boltzmann equation
* H-theorem
* Vlasov equation
* BBGKY hierarchy
* stochastic process
* mean field theory and conformal field theory

Critical phenomena|

* Phase transition
* Critical exponents
* correlation length
* size scaling

Entropy|

* Boltzmann
* Shannon
* Tsallis
* Rényi
* von Neumann

Applications|

* Statistical field theory
* elementary particle
* superfluidity
* condensed matter physics
* complex system
* chaos
* information theory
* Boltzmann machine

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