Kolmogorov Equation for a Stochastic Reaction–Diffusion Equation with Multiplicative Noise

Reaction–diffusion equations can model complex systems where randomness plays a role, capturing the interaction between diffusion processes and random fluctuations. The Kolmogorov equations associated with these systems play an important role in understanding the long-term behavior, stability, and control of such complex systems. In this paper, we investigate the existence of a classical solution for the Kolmogorov equation associated with a stochastic reaction–diffusion equation driven by nonlinear multiplicative trace-class noise. We also establish the existence of an invariant measure ν for the corresponding transition semigroup Pt, where the infinitesimal generator in L2(H,ν) is identified as the closure of the Kolmogorov operator K0.

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Publication Details

Journal
Mathematics
Published
2025-05-09
DOI
https://doi.org/10.3390/math13101561
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Kolmogorov Equation for a Stochastic Reaction–Diffusion Equation with Multiplicative Noise

Yu Shi, K Guan
Mathematics
Stochastic processes and financial applications
article

Kolmogorov Equation for a Stochastic Reaction–Diffusion Equation with Multiplicative Noise

Yu Shi, K Guan
article en

Abstract

Reaction–diffusion equations can model complex systems where randomness plays a role, capturing the interaction between diffusion processes and random fluctuations. The Kolmogorov equations associated with these systems play an important role in understanding the long-term behavior, stability, and control of such complex systems. In this paper, we investigate the existence of a classical solution for the Kolmogorov equation associated with a stochastic reaction–diffusion equation driven by nonlinear multiplicative trace-class noise. We also establish the existence of an invariant measure ν for the corresponding transition semigroup Pt, where the infinitesimal generator in L2(H,ν) is identified as the closure of the Kolmogorov operator K0.

MathematicsVol. 13(10)
Wuhan University of Technology (CN)
Openalex Percentile: Top 87%
Stochastic processes and financial applications
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