The LLN and CLT for the statistical ensembles of discrete integrable Hamiltonian systems

Fuente: arXiv
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Main Authors: Liu, Xinyu, Zhang, Xinze, Li, Yong
Format: Preprint
Published: 2025
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author Liu, Xinyu
Zhang, Xinze
Li, Yong
author_facet Liu, Xinyu
Zhang, Xinze
Li, Yong
contents This paper investigates the behavior of statistical ensembles under iteration map induced by discrete integrable Hamiltonian systems in deterministic case and stochastic case, addressing the problem from two perspectives: the Law of Large Numbers and the Central Limit Theorem. In deterministic case, the Law of Large Numbers simplifies the convergence conditions to the extent that the Riemann-Lebesgue lemma is no longer required. In the stochastic setting, we extend the results to general stochastic processes, beginning with the perturbation term represented by standard Brownian motion. Moreover, we establish a Central Limit Theorem for the statistical ensemble. A numerical example is also included.
format Preprint
id arxiv_https___arxiv_org_abs_2509_20690
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle The LLN and CLT for the statistical ensembles of discrete integrable Hamiltonian systems
Liu, Xinyu
Zhang, Xinze
Li, Yong
Probability
Dynamical Systems
This paper investigates the behavior of statistical ensembles under iteration map induced by discrete integrable Hamiltonian systems in deterministic case and stochastic case, addressing the problem from two perspectives: the Law of Large Numbers and the Central Limit Theorem. In deterministic case, the Law of Large Numbers simplifies the convergence conditions to the extent that the Riemann-Lebesgue lemma is no longer required. In the stochastic setting, we extend the results to general stochastic processes, beginning with the perturbation term represented by standard Brownian motion. Moreover, we establish a Central Limit Theorem for the statistical ensemble. A numerical example is also included.
title The LLN and CLT for the statistical ensembles of discrete integrable Hamiltonian systems
topic Probability
Dynamical Systems
url https://arxiv.org/abs/2509.20690