Stochastic dissipative systems in Banach spaces driven by L\'evy noise
Davide A. Bignamini, Enrico Priola

TL;DR
This paper establishes well-posedness for stochastic reaction diffusion equations driven by Lévy noise in Banach spaces, extending existing results to the space of continuous functions and unifying different stochastic frameworks.
Contribution
It introduces new well-posedness results for reaction diffusion equations with Lévy noise on $C(ar{O})$, a setting not previously addressed in the Lévy case, and unifies various existing frameworks.
Findings
Existence and uniqueness of mild solutions in $L^p$ and $C(ar{O})$ spaces.
Solutions have càdlàg modifications even with Lévy noise not taking values in the solution space.
Extension of linear problem analysis to nonlinear reaction diffusion equations with Lévy noise.
Abstract
In this paper, we are interested in the well-posedness of stochastic reaction diffusion equations like \begin{equation} \begin{cases} dX(t)(\xi)=\big(\Delta_\xi X(t)(\xi)-p(X(t)(\xi))\big)dt+RdW(t)+dL(t) , \quad t\in [0,T];\\ X(0)=x\in L^2(\mathcal{O}) \end{cases} \end{equation} where is a bounded open domain of with regular boundary, , is a polynomial of odd degree with positive leading coefficient, is a linear bounded operator on , is a -cylindrical Wiener process, is a pure-jump L\'evy process on . We complement the equation with suitable boundary conditions on Some papers in literature analize existence and uniqueness of mild solutions for every , for some…
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Taxonomy
TopicsStochastic processes and financial applications · Nonlinear Differential Equations Analysis · Stability and Controllability of Differential Equations
