Forming Invariant Stochastic Differential Systems with a Given First Integral

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.

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Publication Details

Journal
Dynamics
Published
2026-02-01
DOI
https://doi.org/10.3390/dynamics6010006
Primary Topic
Polynomial and algebraic computation
Type
article
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article

Forming Invariant Stochastic Differential Systems with a Given First Integral

Konstantin A. Rybakov
Dynamics
Polynomial and algebraic computation
article

Forming Invariant Stochastic Differential Systems with a Given First Integral

Konstantin A. Rybakov
article en

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.

DynamicsVol. 6(1)
Moscow Aviation Institute (RU)
Openalex Percentile: Top 69%
Polynomial and algebraic computation
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