Fundamental Structure of General Stochastic Dynamical Systems: High-Dimension Case

No one has proved that mathematically general stochastic dynamical systems have a special structure. Thus, we introduce a structure of a general stochastic dynamical system. According to scientific understanding, we assert that its deterministic part can be decomposed into three significant parts: t...

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Main Authors: Haoyu Wang, Xiaoliang Gan, Wenqing Hu, Ping Ao
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Journal of Mathematics
Online Access:http://dx.doi.org/10.1155/2022/2596074
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author Haoyu Wang
Xiaoliang Gan
Wenqing Hu
Ping Ao
author_facet Haoyu Wang
Xiaoliang Gan
Wenqing Hu
Ping Ao
author_sort Haoyu Wang
collection DOAJ
description No one has proved that mathematically general stochastic dynamical systems have a special structure. Thus, we introduce a structure of a general stochastic dynamical system. According to scientific understanding, we assert that its deterministic part can be decomposed into three significant parts: the gradient of the potential function, friction matrix and Lorenz matrix. Our previous work proved this structure for the low-dimension case. In this paper, we prove this structure for the high-dimension case. Hence, this structure of general stochastic dynamical systems is fundamental.
format Article
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institution OA Journals
issn 2314-4785
language English
publishDate 2022-01-01
publisher Wiley
record_format Article
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spelling doaj-art-35109291a9fc4ac7b79ae7ccc4ae704f2025-08-20T02:24:08ZengWileyJournal of Mathematics2314-47852022-01-01202210.1155/2022/2596074Fundamental Structure of General Stochastic Dynamical Systems: High-Dimension CaseHaoyu Wang0Xiaoliang Gan1Wenqing Hu2Ping Ao3Department of MathematicsSchool of Mathematics and Computing ScienceDepartment of MathematicsDepartment of PhysicsNo one has proved that mathematically general stochastic dynamical systems have a special structure. Thus, we introduce a structure of a general stochastic dynamical system. According to scientific understanding, we assert that its deterministic part can be decomposed into three significant parts: the gradient of the potential function, friction matrix and Lorenz matrix. Our previous work proved this structure for the low-dimension case. In this paper, we prove this structure for the high-dimension case. Hence, this structure of general stochastic dynamical systems is fundamental.http://dx.doi.org/10.1155/2022/2596074
spellingShingle Haoyu Wang
Xiaoliang Gan
Wenqing Hu
Ping Ao
Fundamental Structure of General Stochastic Dynamical Systems: High-Dimension Case
Journal of Mathematics
title Fundamental Structure of General Stochastic Dynamical Systems: High-Dimension Case
title_full Fundamental Structure of General Stochastic Dynamical Systems: High-Dimension Case
title_fullStr Fundamental Structure of General Stochastic Dynamical Systems: High-Dimension Case
title_full_unstemmed Fundamental Structure of General Stochastic Dynamical Systems: High-Dimension Case
title_short Fundamental Structure of General Stochastic Dynamical Systems: High-Dimension Case
title_sort fundamental structure of general stochastic dynamical systems high dimension case
url http://dx.doi.org/10.1155/2022/2596074
work_keys_str_mv AT haoyuwang fundamentalstructureofgeneralstochasticdynamicalsystemshighdimensioncase
AT xiaolianggan fundamentalstructureofgeneralstochasticdynamicalsystemshighdimensioncase
AT wenqinghu fundamentalstructureofgeneralstochasticdynamicalsystemshighdimensioncase
AT pingao fundamentalstructureofgeneralstochasticdynamicalsystemshighdimensioncase