Universality of superconcentration in the Sherrington–Kirkpatrick model

IF 0.9 3区 数学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Wei-Kuo Chen, Wai-Kit Lam
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引用次数: 0

Abstract

We study the universality of superconcentration for the free energy in the Sherrington–Kirkpatrick model. In [10], Chatterjee showed that when the system consists of spins and Gaussian disorders, the variance of this quantity is superconcentrated by establishing an upper bound of order , in contrast to the bound obtained from the Gaussian–Poincaré inequality. In this paper, we show that superconcentration indeed holds for any choice of centered disorders with finite third moment, where the upper bound is expressed in terms of an auxiliary nondecreasing function that arises in the representation of the disorder as for standard normal. Under an additional regularity assumption on , we further show that the variance is of order at most .
谢林顿-柯克帕特里克模型中超集中的普遍性
我们研究了Sherrington-Kirkpatrick模型中自由能超集中的普遍性。在[10]中,Chatterjee表明,当系统由自旋和高斯无序组成时,通过建立一个阶上界,该量的方差是超集中的,而不是由高斯-庞卡罗不等式得到的界。在本文中,我们证明了超集中确实适用于任何具有有限三阶矩的中心紊乱,其中上界是用标准正态紊乱的表示中出现的辅助非递减函数表示的。在附加的正则性假设下,我们进一步证明了方差最多是有序的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Random Structures & Algorithms
Random Structures & Algorithms 数学-计算机:软件工程
CiteScore
2.50
自引率
10.00%
发文量
56
审稿时长
>12 weeks
期刊介绍: It is the aim of this journal to meet two main objectives: to cover the latest research on discrete random structures, and to present applications of such research to problems in combinatorics and computer science. The goal is to provide a natural home for a significant body of current research, and a useful forum for ideas on future studies in randomness. Results concerning random graphs, hypergraphs, matroids, trees, mappings, permutations, matrices, sets and orders, as well as stochastic graph processes and networks are presented with particular emphasis on the use of probabilistic methods in combinatorics as developed by Paul Erdõs. The journal focuses on probabilistic algorithms, average case analysis of deterministic algorithms, and applications of probabilistic methods to cryptography, data structures, searching and sorting. The journal also devotes space to such areas of probability theory as percolation, random walks and combinatorial aspects of probability.
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