PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 2, 20260 citationsOpen Access

Forming Invariant Stochastic Differential Systems with a Given First Integral

View Full Paper
KRKonstantin A. Rybakov

Key Points

  • This article aims to develop a method for creating invariant stochastic differential systems that adhere to a specified manifold.
  • Proposed method utilizes Itô and Stratonovich stochastic differential equations.
  • Developed algorithm implemented in symbolic computation environments.
  • Identifies basis related to a tangent hyperplane of the manifold.
  • Addresses basis degeneration issues and presents solutions for stable construction.
  • Successful examples of invariant stochastic differential systems are demonstrated.
  • Numerical simulations validate the effectiveness of the proposed method.

Abstract

This article proposes a method for forming invariant stochastic differential systems, namely dynamic systems with trajectories belonging to a given smooth manifold. The Itô or Stratonovich stochastic differential equations with the Wiener component describe dynamic systems, and the manifold is implicitly defined by a differentiable function. A convenient implementation of the algorithm for forming invariant stochastic differential systems within symbolic computation environments characterizes the proposed method. It is based on determining a basis associated with a tangent hyperplane to the manifold. This article discusses the problem of basis degeneration and examines variants that allow for the simple construction of a basis that does not degenerate. Examples of invariant stochastic differential systems are given, and numerical simulations are performed for them.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Konstantin A. Rybakov (2026) studied this question.

synapsesocial.com/papers/6980ffc6c1c9540dea8127dchttps://doi.org/10.3390/dynamics6010006
Ask AI
Helpful
Bookmark
Share
View Full Paper