Central limit theorems for the Potts model.
Classification of subfactors: the reduction to commuting squares.
Coarse-graining schemes and a posteriori error estimates for stochastic lattice systems
The primary objective of this work is to develop coarse-graining schemes for stochastic many-body microscopic models and quantify their effectiveness in terms of a priori and a posteriori error analysis. In this paper we focus on stochastic lattice systems of interacting particles at equilibrium. The proposed algorithms are derived from an initial coarse-grained approximation that is directly computable by Monte Carlo simulations, and the corresponding numerical error is calculated using the...
Combinatorial analysis of magnetic configurations.
Combinatorics and cluster expansions.
Combinatorics of tripartite boundary connections for trees and dimers.
Complete asymptotics for correlations of Laplace integrals in the semi-classical limit
Continuous and discrete (classical) Heisenberg spin chain revised.
Coordinate Bethe ansatz for spin XXX model.