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From the 1 of 15 linked papers with an AI index.

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15 papers

math.FA2026

A solution to the inverse generator problem and related questions

Emiel Lorist, Martin Meyries, Mark Veraar

We give a negative solution to the inverse generator problem on Hilbert spaces. More precisely, we construct a bounded operator with dense range on a Hilbert space that gen…

math.AP2026

An optimal local theory for reaction-diffusion equations driven by non-trace-class noise

Antonio Agresti, Fabian Germ, Mark Veraar

The paper develops a general local existence and uniqueness theory for stochastic reaction‑diffusion equations driven by rough, possibly non‑trace‑class noise, handling low‑regular…

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.FA2026

Maximal regularity for evolution equations with critical singular perturbations

Esmée Theewis, Mark Veraar

Assuming has maximal -regularity, this paper investigates perturbations of by time-dependent operators that are unbounded and satisfy a critical -integrabilit…

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…