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20222026
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math.PR2026

On the absence of blow-up in the 3D Navier-Stokes equations with transport noise

Antonio Agresti

Establishing the global-in-time smoothness of solutions to the 3D Navier-Stokes equations (NSEs) with large initial data remains a long-standing open problem. In this paper, we pro…

math.PR2026

Global smooth solutions by high mode Lie-Transport noise for Logarithmically Hyperdissipative Navier-Stokes equations

Antonio Agresti, Federico Butori, Eliseo Luongo

We study a logarithmically hyperviscous Navier-Stokes model on the three-dimensional torus with Lie-transport noise, which includes both transport and stretching. We prove that, fo…

math.PR2026

Fractal dimension of singular times for SPDEs: Energy bounds, criticality, and weak-strong uniqueness

Antonio Agresti

For several physically relevant SPDEs, it is known that global weak solutions coexist with local strong ones. Typically, weak-strong uniqueness results are known, and ensure that t…

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 $(γ_n…

math.PR2025

The large deviation principle for the stochastic 3D primitive equations with transport noise

Antonio Agresti, Esmée Theewis

We prove the small-noise large deviation principle for the three-dimensional primitive equations with transport noise and turbulent pressure. Transport noise is important for geoph…

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 coe…

math.PR2025

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.PR2025

Lagrangian chaos and unique ergodicity for stochastic primitive equations

Antonio Agresti

We show that the Lagrangian flow associated with the stochastic 3D primitive equations (PEs) with non-degenerate noise is chaotic, i.e., the corresponding top Lyapunov exponent is…

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.PR2022

The critical variational setting for stochastic evolution equations

Antonio Agresti, Mark Veraar

In this paper we introduce the critical variational setting for parabolic stochastic evolution equations of quasi- or semi-linear type. Our results improve many of the abstract res…