Gibbs Measures and Phase Transitions

0 Prerequisites

0.1 Lebesgue conditional expectation

Let \((X, \mathcal X)\) be a measurable space, let \(\mathcal B\) be a sub \(\sigma \)-algebra of \(\mathcal X\).

Definition 0.1 Lebesgue conditional expectation
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The conditional expectation of a \(\mathcal X\)-measurable function \(f : X \to [0, \infty ]\) is

\[ \mu [f | \mathcal B] = ?? \]
Lemma 0.2 Characterisation of the Lebesgue conditional expectation

If \(f : X \to [0, \infty ]\) is a \(\mathcal X\)-measurable function, then \(\mu [f | \mathcal B]\) is the \(\mu \)-ae unique \(\mathcal B\)-measurable function \(X \to [0, \infty ]\) such that

\[ \int _B \mu [f | \mathcal B]\ \partial \mu = \int _B f\ \partial \mu \]

for all \(B \in \mathcal B\).

Proof

Standard machine.