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20222026
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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…