How to count in hierarchical landscapes: a 'full' solution to mean-field complexity

Autor:	Kent-Dobias, Jaron, Kurchan, Jorge
Rok vydání:	2022
Předmět:	Condensed Matter - Statistical Mechanics Condensed Matter - Disordered Systems and Neural Networks
Druh dokumentu:	Working Paper
DOI:	10.1103/PhysRevE.107.064111
Popis:	We derive the general solution for counting the stationary points of mean-field complex landscapes. It incorporates Parisi's solution for the ground state, as it should. Using this solution, we count the stationary points of two models: one with multi-step replica symmetry breaking, and one with full replica symmetry breaking.
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2207.06161 Zobrazit plný text záznamu View this record from Arxiv