STOCHASTIC PROCESSES AND THEIR APPLICATIONS | 卷:54 |
AN INTERACTING DIFFUSION-MODEL AND SK SPIN-GLASS EQUATION | |
Article | |
关键词: INTERACTING DIFFUSIONS; MCKEAN-VLASOV LIMIT; NEURAL NETWORKS; SPIN GLASSES; | |
DOI : 10.1016/0304-4149(94)00025-5 | |
来源: Elsevier | |
【 摘 要 】
In this paper we consider a system of N interacting diffusion processes described by Ito stochastic differential equations. We first obtain a McKean-Vlasov limit for the empirical measure associated with the system in the limit as N --> infinity. We then consider a special model (which has a ''temperature'' parameter beta > 0) and show that the limiting process exhibits a phase transition phenomenon: for low temperatures (beta > beta(c)) it has a unique stable invariant measure while for high temperatures (beta less than or equal to beta(c)) the only invariant measure is the degenerate one. The former is a zero mean Gaussian measure such that its variance solves Sherrington-Kirkpatrick spin glass fixed point equation.
【 授权许可】
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10_1016_0304-4149(94)00025-5.pdf | 1191KB | download |