Statistical mechanics
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Statistical mechanics is the application of statistics, which includes mathematical tools for dealing with large populations, to the field of mechanics, which is concerned with the motion of particles or objects when subjected to a force. It provides a framework for relating the microscopic properties of individual atoms and molecules to the macroscopic or bulk properties of materials that can be observed in every day life, therefore explaining thermodynamics as a natural result of statistics and mechanics (classical and quantum). In particular, it can be used to calculate the thermodynamic properties of bulk materials from the spectroscopic data of individual molecules.
Contents 
Microcanonical ensemble
At the heart of statistical mechanics lies Boltzmann's definition of entropy of a physical system:
<math>S=k_Bln \Omega<math>
where S is the system entropy, <math>k_B<math> is the Boltzmann Constant, which will be referred to as simply k for the remainder of the article, and <math>\Omega<math> is the number of microstates corresponding to the macroscopic state.
Because a microcanonical ensemble is composed of a large set of identically prepared, isolated systems, the total internal energy of each system in the ensemble is identical. Thus, the total number of microstates corresponding to the observed macroscopic state is equal to the degeneracy of the observed energy level.
Canonical ensemble
Invoking the concept of the canonical ensemble, it is possible to derive the probability <math>P_i<math> that a macroscopic system in thermal equilibrium with its environment will be in a given microstate with energy <math>E_i<math>:
<math>P_i={\exp\left(\beta E_i\right)\over{\sum_j^{j_{max}}\exp\left(\beta E_j\right)}}<math>
where <math>\beta={1\over{kT}}<math>,
where the temperature T arises from the fact that the system is in thermal equilibrium with its environment . The probabilities of the various microstates must add to one, and the normalization factor in the denominator is the canonical partition function:
 <math>Z = \sum_j^{j_{max}} \exp\left(\beta E_j\right)<math>
where <math>E_i<math> is the energy of the ith microstate of the system. The partition function is a measure of the number of states accessible to the system at a given temperature. See derivation of the partition function for a proof of Boltzmann's factor and the form of the partition function from first principles.
To sum up, the probability of finding a system at temperature T in a particular state with energy E_{i} is
 <math>P_i = \frac{\exp(\beta E_i)}{Z}<math>
Thermodynamic Connection
The partition function can be used to find the expected (average) value of any microscopic property of the system, which can then be related to macroscopic variables. For instance, the expected value of the microscopic energy E is interpreted as the microscopic definition of the thermodynamic variable internal energy (U)., and can be obtained by taking the derivative of the partition function with respect to the temperature. Indeed,
 <math>\langle E\rangle={\sum_i E_i e^{\beta E_i}\over Z}={dZ\over d\beta}/Z<math>
implies, together with the interpretation of <E> as U, the following microscopic definition of internal energy:
 <math>U\colon = {d\ln Z\over d \beta}.<math>
The entropy can be calculated by (see Shannon entropy)
 <math>{S\over k} =  \sum_i p_i \ln p_i = \sum_i {e^{\beta E_i}\over Z}(\beta E_i+\ln Z) = \ln Z + \beta U <math>
which implies that
 <math>\frac{\ln(Z)}{\beta} = U  TS = F<math>
is the Free energy of the system or in other words,
 <math>Z=e^{\beta F}\,<math>
Having microscopic expressions for the basic thermodynamic potentials U (internal energy), S (entropy) and F (free energy) is sufficient to derive expressions for other thermodynamic quantities. The basic strategy is as follows. There may be an intensive or extensive quantity that enters explicitly in the expression for the microscopic energy E_{i}, for instance magnetic field (intensive) or volume (extensive). Then, the conjugate thermodynamic variables are derivatives of the internal energy. For instance, the macroscopic magnetization (extensive) is the derivative of U with respect to the (intensive) magnetic field, and the pressure (intensive) is the derivative of U with respect to volume (extensive).
The treatment in this section assumes no exchange of matter (i.e. fixed mass and fixed particle numbers). However, the volume of the system is variable which means the density is also variable.
This probability can be used to find the average value, which corresponds to the macroscopic value, of any property, <math>J<math>, that depends on the energetic state of the system by using the formula:
 <math> \langle J \rangle = \sum_i p_i J_i = \sum_i J_i \frac{\exp(\beta E_i)}{Z}<math>
where <math>
 <math>U = \sum_i E_i \frac{\exp(\beta E_i)}{Z}<math>
Subsequently, these equations can be combined with known thermodynamic relationships between <math>U<math> and V to arrive at an expression for pressure in terms of only temperature, volume and the partition function. Similar relationships in terms of the partition function can be derived for other thermodynamic properties as shown in the following table.
Helmholtz free energy:  <math>F =  {\ln Z\over \beta}<math> 
Internal energy:  <math>U = \left( \frac{\partial\ln Z}{\partial\beta} \right)_{N,V}<math> 
Pressure:  <math>P = \left({\partial F\over \partial V}\right)_{N,T}= {1\over \beta} \left( \frac{\partial \ln Z}{\partial V} \right)_{N,T}<math> 
Entropy:  <math>S = k (\ln Z + \beta U)\,<math> 
Gibbs free energy:  <math>G = F+PV={\ln Z\over \beta} + {V\over \beta} \left( \frac{\partial \ln Z}{\partial V}\right)_{N,T}<math> 
Enthalpy:  <math>H = U + PV\,<math> 
Constant Volume Heat capacity:  <math>C_V = \left( \frac{\partial U}{\partial T} \right)_{N,V}<math> 
Constant Pressure Heat capacity:  <math>C_P = \left( \frac{\partial U}{\partial T} \right)_{N,P}<math> 
Chemical potential:  <math>\mu_i = {1\over \beta} \left( \frac{\partial \ln Z}{\partial N_i} \right)_{T,V,N}<math> 
The last entry needs clarification. We are NOT working with a grand canonical ensemble here.
It is often useful to consider the energy of a given molecule to be distributed among a number of modes. For example, translational energy refers to that portion of energy associated with the motion of the center of mass of the molecule. Configurational energy refers to that portion of energy associated with the various attractive and repulsive forces between molecules in a system. The other modes are all considered to be internal to each molecule. They include rotational, vibrational, electronic and nuclear modes. If we assume that each mode is independent (a questionable assumption) the total energy can be expressed as the sum of each of the components:
 <math>E = E_t + E_c + E_n + E_e + E_r + E_v\,<math>
Where the subscripts t, c, n, e, r, and v correspond to translational, configurational, nuclear, electronic, rotational and vibrational modes, respectively. The relationship in this equation can be substituted into the very first equation to give:
 <math>Z = \sum_i \exp\left(\beta(E_{ti} + E_{ci} + E_{ni} + E_{ei} + E_{ri} + E_{vi})\right)<math>
 <math>= \sum_i
\exp\left(\beta E_{ti}\right) \exp\left(\beta E_{ci}\right) \exp\left(\beta E_{ni}\right) \exp\left(\beta E_{ei}\right) \exp\left(\beta E_{ri}\right) \exp\left(\beta E_{vi}\right)<math>
 <math>= Z_t Z_c Z_n Z_e Z_r Z_v\,<math>
Thus a partition function can be defined for each mode. Simple expressions have been derived relating each of the various modes to various measurable molecular properties, such as the characteristic rotational or vibrational frequencies.
Expressions for the various molecular partition functions are shown in the following table.
Nuclear  <math>Z_n = 1 \qquad (T < 10^8 K)<math> 
Electronic  <math>Z_e = W_0 \exp(kT D_e + W_1 \exp(\theta_{e1}/T) + \cdots)<math> 
vibrational  <math>Z_v = \prod_j \frac{\exp(\theta_{vj} / 2T)}{1  \exp(\theta_{vj} / T)}<math> 
rotational (linear)  <math>Z_r = \frac{T}{\sigma} \theta_r<math> 
rotational (nonlinear)  <math>Z_r = \frac{1}{\sigma}\sqrt{\frac{{\pi}T^3}{\theta_A \theta_B \theta_C}}<math> 
Translational  <math>Z_t = \frac{(2 \pi mkT)^{3/2}}{h^3}<math> 
Configurational (ideal gas)  <math>Z_c = V\,<math> 
These equations can be combined with those in the first table to determine the contribution of a particular energy mode to a thermodynamic property. For example the "rotational pressure" could be determined in this manner. The total pressure could be found by summing the pressure contributions from all of the individual modes, ie:
 <math>P = P_t + P_c + P_n + P_e + P_r + P_v\,<math>
Grand canonical ensemble
If the system under study is an open system, (matter can be exchanged), and particle number is conserved, we would have to introduce chemical potentials, μ_{j}, j=1,...,n and replace the canonical partition function with the grand canonical partition function:
 <math>\Xi(V,T,\mu) = \sum_i \exp\left(\beta \left[\sum_{j=1}^n \mu_j N_{ij}E_i\right ]\right)<math>
where N_{ij} is the number of j^{th} species particles in the i^{th} configuration. Sometimes, we also have other variables to add to the partition function, one corresponding to each conserved quantity. Most of them, however, can be safely interpreted as chemical potentials. In most condensed matter systems, things are nonrelativistic and mass is conserved. However, most condensed matter systems of interest also conserve particle number approximately (metastably) and the mass (nonrelativistically) is none other than the sum of the number of each type of particle times its mass. Mass is inversely related to density, which is the conjugate variable to pressure. For the rest of this article, we will ignore this complication and pretend chemical potentials don't matter. See grand canonical ensemble.
Let's rework everything using a grand canonical ensemble this time. The volume is left fixed and does not figure in at all in this treatment. As before, j is the index for those particles of species j and i is the index for microstate i:
 <math>U = \sum_i E_i \frac{\exp(\beta (E_i\sum_j \mu_j N_{ij}))}{\Xi}<math>
 <math>N_j = \sum_i N_{ij} \frac{\exp(\beta (E_i\sum_j \mu_j N_{ij}))}{\Xi}<math>
Gibbs free energy:  <math>G =  {\ln \Xi\over \beta}<math> 
Internal energy:  <math>U = \left( \frac{\partial\ln \Xi}{\partial\beta} \right)_{\mu}+\sum_i{\mu_i\over\beta}\left({\partial \ln \Xi\over \partial \mu_i}\right )_{\beta}<math> 
Particle number:  <math>N_i={1\over\beta}\left({\partial \ln \Xi\over \partial \mu_i}\right)_\beta<math> 
Entropy:  <math>S = k (\ln \Xi + \beta U \beta \sum_i \mu_i N_i)\,<math> 
Helmholtz free energy:  <math>F = G+\sum_i \mu_i N_i={\ln \Xi\over \beta} +\sum_i{\mu_i\over \beta} \left( \frac{\partial \ln \Xi}{\partial \mu_i}\right)_{\beta}<math> 
See also
 Fluctuation dissipation theorem
 Ising Model
 Mean field theory
 Ludwig Boltzmann
 Paul Ehrenfest
 important publications in statistical mechanics
General subfields within physics  
Classical mechanics  Condensed matter physics  Continuum mechanics  Electromagnetism  General relativity  Particle physics  Quantum field theory  Quantum mechanics  Solid state physics  Special relativity  Statistical mechanics  Thermodynamics 
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