Maximal inequalities for stochastic convolutions and pathwise uniform convergence of time discretisation schemes
Jan van Neerven, Mark Veraar

TL;DR
This paper establishes new maximal inequalities for stochastic convolutions in 2-smooth Banach spaces, leading to improved stability and convergence results for time discretisation schemes in linear SPDEs, including cases with random evolution systems.
Contribution
It introduces a novel Burkholder-Rosenthal type inequality for discrete processes in 2-smooth Banach spaces and applies it to derive maximal estimates and convergence results for SPDE discretisation schemes.
Findings
New maximal inequalities for stochastic convolutions in 2-smooth Banach spaces.
Pathwise uniform convergence of time discretisation schemes for linear SPDEs.
Explicit decay rates and stability results under spatial smoothness assumptions.
Abstract
We prove a new Burkholder-Rosenthal type inequality for discrete-time processes taking values in a 2-smooth Banach space. As a first application we prove that if is a -evolution family of contractions on a -smooth Banach space and is a cylindrical Brownian motion on a probability space , then for every there exists a constant such that for all progressively measurable processes the process has a continuous modification and Moreover, for one may take where is the constant in the definition of -smoothness for . Our result improves and…
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