Dynamic message-passing approach for kinetic spin models with reversible dynamics

作者:Del Ferraro Gino*; Aurell Erik
来源:Physical Review E, 2015, 92(1): 010102.
DOI:10.1103/PhysRevE.92.010102

摘要

A method to approximately close the dynamic cavity equations for synchronous reversible dynamics on a locally treelike topology is presented. The method builds on (a) a graph expansion to eliminate loops from the normalizations of each step in the dynamics and (b) an assumption that a set of auxilary probability distributions on histories of pairs of spins mainly have dependencies that are local in time. The closure is then effectuated by projecting these probability distributions on n-step Markov processes. The method is shown in detail on the level of ordinary Markov processes (n = 1) and outlined for higher-order approximations (n > 1). Numerical validations of the technique are provided for the reconstruction of the transient and equilibrium dynamics of the kinetic Ising model on a random graph with arbitrary connectivity symmetry.

  • 出版日期2015-7-21