I am currently reading the book Statistical Mechanics of Lattice Systems by Friedli-Velenik. Given a finite set $\Lambda\subset\mathbb Z^d$ there are two definitions of the Hamiltonian (with empty boundary condition) appearing in the book and I think that they induce different probability distributions:
Let $$\mathscr{E}=\{\{i,j\}\subset\Lambda:i\sim j\}$$ be the set of edges in $\Lambda$.
Definition 1 (chapter 1.4, equation 1.44):
The Hamiltonian is given by $$H(\omega)=-\sum_{\{i,j\}\in\mathscr{E}}\omega_i\omega_j-h\sum_{i\in\Lambda}\omega_i$$ and the Gibbs distribution is defined by $$P(\omega)=\frac{1}{Z}e^{-\beta H(\omega)}$$
Definition 2 (see chapter 3):
The Hamiltonian is given by $$\tilde H(\omega)=-\beta\sum_{\{i,j\}\in\mathscr{E}}\omega_i\omega_j-h\sum_{i\in\Lambda}\omega_i$$ and the Gibbs distribution is defined by $$\tilde P(\omega)=\frac{1}{\tilde Z}e^{- \tilde H(\omega)}$$
Since we are talking about the Ising model, I would expect that $P=\tilde P$, but for this to be the case we would need to set $\tilde H:=\beta H$ instead, wouldn't we? Does someone know what is going on?