In Misure di Gibbs a volume infinito we have studied the question wheter given a potential the space of Infinite-volume Gibbs measures is non-empty.

Following ideas from The Ising model, we defined a notion of first order phase transition based on non-uniqueness of Gibbs measures.

At the start of the proof of existence, which needs that the specification is quasilocal (continuous), we fixed a boundary condition . It tunrs out that uniqueness of Gibbs measure is the same as indipendence from boundary conditions: all the limiting measures are the same.

Lemma The following are equivalent:

  1. Uniqueness holds:
  2. For any , and all and all local function

Proof is trivial, if there exists only one Gibbs measure then regardless of the boundary condition every converging subsequence converges to , so that the original sequence also converges to . Take any and a local function .

Since local functions are bounded, the integrand is dominanted by and we can apply the Dominated convergence theorem to take out the limit

Since for all bounded function, .

To state Dobrushin’s uniqueness theorem, we need to define some notions.

As usual, a distance between probability measures is the total variation. Here we compare spin distribution given two boundary conditions:

We can introduce the sup of total variation between measures in that differ only on a single spin

and a global property

Def Let . We define the oscillation of at spin as:

and the total oscillation of as

The intuition is that the total oscillation tells us how “far” is from beeing a constant (which have total oscillation zero).

Lemma Let be continuous and with finite total oscillation. Then . Proof Let and be two sequences that converge to the sup and inf respectively, such that outside a volume . Then a large enough

since are different only inside a finite volume , we can bound the difference using local oscillation:

thus

Theorem (Dobrushin’s uniqueness theorem) Let be a specification satisfying the condition:

called the Dobrushin’s condition of weak dependence. Then

Proof Let and let be a local function.