Stochastic Camassa-Holm equation with convection type noise
Sergio Albeverio, Zdzis{\l}aw Brze\'zniak, Alexei Daletskii

TL;DR
This paper studies a stochastic version of the Camassa-Holm equation with convection noise, proving local strong solutions using operator theory, which could impact the analysis of other nonlinear stochastic PDEs.
Contribution
It introduces a stochastic Camassa-Holm equation with convection noise and establishes existence and uniqueness of solutions via Kato's operator theory.
Findings
Proved local strong solutions exist and are unique.
Transformed the stochastic PDE into a random quasi-linear PDE.
Potential applications to other nonlinear stochastic PDEs.
Abstract
We consider a stochastic Camassa-Holm equation driven by a one-dimensional Wiener process with a first order differential operator as diffusion coefficient. We prove the existence and uniqueness of local strong solutions of this equation. In order to do so, we transform it into a random quasi-linear partial differential equation and apply Kato's operator theory methods. Some of the results have potential to find applications to other nonlinear stochastic partial differential equations.
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