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Fractional step method for stochastic evolution equations

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  • Goncharuk, Nataliya Yu.
  • Kotelenez, Peter

Abstract

This paper deals with the fractional step method in the analysis of stochastic partial differential equations (SPDEs) and their generalizations. Three types of problems are investigated. The first one is the study of invariant sets for the solution of the stochastic equations. The second one is existence of solutions for certain stochastic partial differential equations describing the mass distribution of a system of diffusing and reacting particles; the assumptions in the traditional approaches to SPDEs are not satisfied for this SPDE. The third type of problems is the numerical one: we construct solutions of a class of quasilinear stochastic differential equations of parabolic type using the fractional step method with the decomposition into linearized "drift" and pure "diffusion" equations.

Suggested Citation

  • Goncharuk, Nataliya Yu. & Kotelenez, Peter, 1998. "Fractional step method for stochastic evolution equations," Stochastic Processes and their Applications, Elsevier, vol. 73(1), pages 1-45, January.
    • Handle: RePEc:eee:spapps:v:73:y:1998:i:1:p:1-45
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    References listed on IDEAS

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    1. Dawson, D. A., 1975. "Stochastic evolution equations and related measure processes," Journal of Multivariate Analysis, Elsevier, vol. 5(1), pages 1-52, March.
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    Cited by:

    1. Stefan Tappe, 2022. "Invariant cones for jump-diffusions in infinite dimensions," Papers 2206.13913, arXiv.org, revised Nov 2023.
    2. C. Tudor & M. Tudor, 2002. "Some Properties of Solutions of Double Stochastic Differential Equations," Journal of Theoretical Probability, Springer, vol. 15(1), pages 129-151, January.
    3. Dorogovtsev, Andrey A. & Riabov, Georgii V. & Schmalfuß, Björn, 2020. "Stationary points in coalescing stochastic flows on R," Stochastic Processes and their Applications, Elsevier, vol. 130(8), pages 4910-4926.

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