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Peierls contour probability bound
Statement
Let and . For , set for and for , and define The energy sum is finite because is finite and interactions are nearest-neighbor. For the nearest-neighbor Ising model with coupling , zero field and , any simple dual cycle that occurs in the disagreement graph of a configuration determines the event that all primal bonds crossed by have disagreeing spins. Then For each such cycle, the parity-inside is defined by Square-lattice even graphs and parity contour separation and lies in the variable box.
Facts & Assumptions
Given: A finite plus-boundary square-lattice Ising system with , , , and a disagreement cycle .
For , in a disagreement graph of a plus-boundary configuration, ray parity defines a finite inside whose boundary bonds are exactly the cycle edges (Square-lattice even graphs and parity contour separation).
A finite Gibbs probability assigns weights proportional to with a finite positive normalizer (Finite Gibbs relative entropy and free-energy minimum).
Proof
For , let be the parity-inside primal sites from [F1]; that lemma gives and identifies its boundary bonds with the edges crossed by . For , : the plus spin has no disagreement edges, and the minus spin has exactly the four dual edges forming the unit square centered at . This is the only possible simple disagreement cycle; its ray-parity inside is and its crossed bonds are exactly the four bonds incident to . Thus the same containment and boundary identification hold also for . The map that flips every spin in and leaves all other spins fixed is an involution on the finite configuration set, preserves the fixed plus exterior, and is injective.
Every bond crossing has opposite spins on and becomes aligned after the flip; its contribution to changes from to , a decrease of . Every other bond has both endpoints inside or both outside , so its spin product is unchanged. Therefore on .
By [F2], summing over equals times the weight sum over the image of the injective flip map. That image is a subset of all box configurations, so its total weight is at most the full partition function. Dividing by that positive partition function proves the bound.