Evidence map›Paper›PMID 40904476›Full record

ArticleNonlinear differential equations and applications : NoDEA2025

Nonlinear SPDEs and Maximal Regularity: An Extended Survey.

Antonio Agresti, Mark Veraar

Abstract read
In one paragraph

Article in Nonlinear differential equations and applications : NoDEA, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Discrete stochastic maximal regularity.Mathematische annalen · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Antonio AgrestiDelft Institute of Applied Mathematics, Delft University of Technology, P.O. Box , 5031 2600 GA  Delft, The Netherlands.ORCID 0000-0002-9573-2962
Mark VeraarDelft Institute of Applied Mathematics, Delft University of Technology, P.O. Box 5031 2600, GA  Delft, The Netherlands.ORCID 0000-0003-3167-7471

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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. The core of our approach is an abstract notion of critical spaces, which, when applied to nonlinear SPDEs, coincides with the concept of scaling-invariant spaces. This framework leads to several sharp blow-up criteria and enables one to obtain instantaneous regularization results. Additionally, we refine and unify our previous results, while also presenting several new contributions. In the second part of the survey, we apply the abstract results to several concrete SPDEs. In particular, we give applications to stochastic perturbations of quasi-geostrophic equations, Navier-Stokes equations, and reaction-diffusion systems (including Allen-Cahn, Cahn-Hilliard and Lotka-Volterra models). Moreover, for the Navier-Stokes equations, we establish new Serrin-type blow-up criteria. While some applications are addressed using

Indexed as

Allen–Cahn equationsBlow-up criteriaCahn–Hilliard equationCritical spacesFluid dynamic modelsLocal and global well-posednessNavier-Stokes equationsParabolic equationsQuasi-geostrophic equationsReaction-diffusion equationsRegularizationSerrin criteriaStochastic evolution equationsStochastic maximal regularityStochastic partial differential equationsVariational setting

Identifiers

PMID40904476
PMCPMC12402051

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.