混沌动力学系统极限定理中的常数估算

IF 0.8 4区 数学 Q3 STATISTICS & PROBABILITY
Leonid A. Bunimovich, Yaofeng Su
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引用次数: 0

摘要

在研究具有混沌行为的动力学系统的概率极限定理的广阔领域中,始终只研究渐近规律和收敛速率的函数形式(指数、幂等)。然而,对于基本上所有的应用,如计算机模拟、混沌动力学系统数值研究算法的开发,以及实际(如物理)实验的设计和分析,函数常量(参数)的精确值(或至少是估计值)是人们最感兴趣的,这些常量出现在渐近规律和收敛速率中。本文提供了强混沌动力学系统的中心极限定理、大偏差原理、大数定律和相关性衰减率中常数(参数)的估计值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimates of constants in the limit theorems for chaotic dynamical systems

In a vast area of probabilistic limit theorems for dynamical systems with chaotic behaviors always only functional form (exponential, power, etc.) of the asymptotic laws and of convergence rates were studied. However, for basically all applications, e.g., for computer simulations, development of algorithms to study chaotic dynamical systems numerically, as well as for design and analysis of real (e.g., in physics) experiments, the exact values (or at least estimates) of constants (parameters) of the functions, which appear in the asymptotic laws and rates of convergence, are of primary interest. In this paper, we provide such estimates of constants (parameters) in the central limit theorem, large deviations principle, law of large numbers and the rate of correlations decay for strongly chaotic dynamical systems.

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来源期刊
Stochastics and Dynamics
Stochastics and Dynamics 数学-统计学与概率论
CiteScore
1.70
自引率
0.00%
发文量
49
审稿时长
>12 weeks
期刊介绍: This interdisciplinary journal is devoted to publishing high quality papers in modeling, analyzing, quantifying and predicting stochastic phenomena in science and engineering from a dynamical system''s point of view. Papers can be about theory, experiments, algorithms, numerical simulation and applications. Papers studying the dynamics of stochastic phenomena by means of random or stochastic ordinary, partial or functional differential equations or random mappings are particularly welcome, and so are studies of stochasticity in deterministic systems.
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