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Article
Fundamental Structure of General Stochastic Dynamical Systems: High-Dimension Case
Journal of Mathematics
  • Haoyu Wang
  • Xiaoliang Gan
  • Wenqing Hu, Missouri University of Science and Technology
  • Ping Ao
Abstract

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.

Department(s)
Mathematics and Statistics
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2022 The Authors, All rights reserved.
Creative Commons Licensing
Creative Commons Attribution 4.0
Publication Date
1-1-2022
Publication Date
01 Jan 2022
Disciplines
Citation Information
Haoyu Wang, Xiaoliang Gan, Wenqing Hu and Ping Ao. "Fundamental Structure of General Stochastic Dynamical Systems: High-Dimension Case" Journal of Mathematics Vol. 2022 (2022) ISSN: 2314-4785; 2314-4629
Available at: http://works.bepress.com/wenqing-hu/29/