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20242026
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math.PR2026

A Note on a threshold for temporal regularity of stochastic PDEs

Antonio Agresti, Mark Veraar

We consider solutions to linear parabolic SPDEs of the form \[ \mathrm{d} u(t) + A u(t)\, \mathrm{d} t = g(t)\, \mathrm{d} β, \qquad u(0)=0, \] where is a positive, invertible…

math.PR2026

Sharp bounds for non-trace class noise and applications to SPDEs

Antonio Agresti, Fabian Germ, Mark Veraar

In the study of stochastic PDEs with colored, non-trace class space-time noise, one frequently encounters Gaussian series of the form where $(Î…

math.PR2026

Large Deviations for Stochastic Evolution Equations in the Critical Variational Setting

Esmée Theewis, Mark Veraar

Using the weak convergence approach, we prove the large deviation principle (LDP) for solutions to quasilinear stochastic evolution equations with small Gaussian noise in the criti…

math.PR2025

A stochastic flow approach to De Giorgi-Nash-Moser estimates for SPDEs with smooth transport noise

Antonio Agresti, Max Sauerbrey, Mark Veraar

The celebrated De Giorgi-Nash-Moser theory ensures that solutions to uniformly elliptic or parabolic PDEs are bounded and Hölder continuous, even with merely bounded measurable co…

math.PR2025

Nonlinear SPDEs and Maximal Regularity: An Extended Survey

Antonio Agresti, Mark Veraar

In this survey, we provide an in-depth exposition of our recent results on the well-posedness theory for stochastic evolution equations, employing maximal regularity techniques. Th…

math.PR2025

An extrapolation result in the variational setting: improved regularity, compactness, and applications to quasilinear systems

Sebastian Bechtel, Mark Veraar

In this paper we consider the variational setting for SPDE on a Gelfand triple . Under the standard conditions on a linear coercive pair , and a symmetry condit…