Non-linear parabolic PDEs with rough data and coefficients: existence, uniqueness and regularity of weak solutions in critical spaces
Pascal Auscher, Sebastian Bechtel
TL;DR
This work develops a rigorous framework for nonlinear parabolic PDEs with rough diffusion coefficients and rough initial data in critical Besov spaces. It introduces weighted Z-spaces and a novel theory of hypercontractive singular integral operators to achieve hypercontractivity and control nonlinearities via extrapolation, enabling existence, uniqueness, and regularity of both mild and weak solutions. A key contribution is the mild–weak transference principle together with self-improving reverse Hölder inequalities, which yield maximal weak solutions and precise lifespans for rough reaction–diffusion equations. The framework is designed to extend to Burgers-type, quasi-linear, and related nonlinear models, with potential applications to complex media and rough-coefficient diffusion processes.
Abstract
This article investigates the well-posedness of weak solutions to non-linear parabolic PDEs driven by rough coefficients with rough initial data in critical homogeneous Besov spaces. Well-posedness is understood in the sense of existence and uniqueness of maximal weak solutions in suitable weighted $Z$-spaces in the absence of smallness conditions. We showcase our theory with an application to rough reaction--diffusion equations. Subsequent articles will treat further classes of equations, including equations of Burgers-type and quasi-linear problems, using the same approach. Our toolkit includes a novel theory of hypercontractive singular integral operators (SIOs) on weighted $Z$-spaces and a self-improving property for super-linear reverse Hölder inequalities.
