Derives cavity equations at the level of path measures for continuous-time stochastic dynamics with pairwise interactions on sparse graphs, distinguishing directed and reciprocal cases and recovering dense DMFT limits.
Dynamical replica analysis of disordered Ising spin systems on finitely connected random graphs
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abstract
We study the dynamics of macroscopic observables such as the magnetization and the energy per degree of freedom in Ising spin models on random graphs of finite connectivity, with random bonds and/or heterogeneous degree distributions. To do so we generalize existing implementations of dynamical replica theory and cavity field techniques to systems with strongly disordered and locally tree-like interactions. We illustrate our results via application to the dynamics of e.g. $\pm J$ spin-glasses on random graphs and of the overlap in finite connectivity Sourlas codes. All results are tested against Monte Carlo simulations.
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cond-mat.dis-nn 1years
2026 1verdicts
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Dynamical cavity method for continuous-time complex systems on sparse random graphs
Derives cavity equations at the level of path measures for continuous-time stochastic dynamics with pairwise interactions on sparse graphs, distinguishing directed and reciprocal cases and recovering dense DMFT limits.