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.
- For each
- 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.


