Gibbs measure
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In statistical mechanics, a Gibbs measure is a probability measure that relates the probabilities of the various possible states of a system to the energies associated to them. Although the precise definition requires some care (particularly in the case of infinite systems), the main characteristic of a Gibbs measure is that the probability of the system assuming a given state ω with associated energy E(ω) at inverse temperature β is proportional to
[edit] Formal definition
The definition of a Gibbs random field on a lattice requires some terminology:
- The lattice: A countable set .
- The single-spin space: A probability space .
- The configuration space: , where and .
- Given a configuration and a subset , the restriction of ω to Λ is . If and , then the configuration is the configuration whose restrictions to Λ1 and Λ2 are and , respectively.
- The set of all finite subsets of .
- For each subset , is the σ-algebra generated by the family of functions , where σ(t)(ω) = ω(t).
- The potential: A family of functions such that
- For each , ΦA is -measurable.
- For all and , the series exists.
- The Hamiltonian in with boundary conditions , for the potential Φ, is defined by
- where .
- The partition function in with boundary conditions and inverse temperature (for the potential Φ and λ) is defined by
- A potential Φ is λ-admissible if is finite for all , and β > 0.
A probability measure μ on is a Gibbs measure for a λ-admissible potential Φ if it satisfies the Dobrushin-Lanford-Ruelle (DLR) equations
- for all and .
[edit] An example
To help understand the above definitions, here are the corresponding quantities in the important example of the Ising model with nearest-neighbour interactions (coupling constant J) and a magnetic field (h), on :
- The lattice is simply .
- The single-spin space is S = { − 1,1}.
- The potential is given by
[edit] References
- Georgii, H.-O. "Gibbs measures and phase transitions", de Gruyter, Berlin, 1988.