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Nonlinear SPDEs and Maximal Regularity: An Extended Survey.

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This survey explores well-posedness for stochastic evolution equations using maximal regularity. It introduces critical spaces for sharp blow-up criteria and regularization in nonlinear stochastic partial differential equations (SPDEs).

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Area of Science:

  • Stochastic Analysis
  • Partial Differential Equations
  • Mathematical Physics

Background:

  • The well-posedness of stochastic evolution equations is crucial for modeling complex systems.
  • Maximal regularity techniques offer powerful tools for analyzing these equations.
  • Existing theories often lack sharp criteria for blow-up and instantaneous regularization.

Purpose of the Study:

  • To present recent advancements in the well-posedness theory of stochastic evolution equations.
  • To introduce and apply a novel framework based on critical spaces.
  • To refine, unify, and extend previous results on nonlinear stochastic partial differential equations (SPDEs).

Main Methods:

  • Employing maximal regularity techniques for stochastic evolution equations.
  • Developing an abstract notion of critical spaces, coinciding with scaling-invariant spaces for nonlinear SPDEs.
  • Applying the abstract framework to specific SPDEs, including Navier-Stokes and reaction-diffusion systems.

Main Results:

  • Established sharp blow-up criteria and instantaneous regularization results for nonlinear SPDEs.
  • Provided unified and refined analyses of existing theories.
  • Derived new Serrin-type blow-up criteria for the Navier-Stokes equations.

Conclusions:

  • The critical space framework provides a unified approach to well-posedness for a wide range of SPDEs.
  • The results advance the understanding of blow-up phenomena and regularization properties.
  • Identified open problems in both abstract stochastic evolution equations and concrete SPDEs.