Besov regularity of non-linear parabolic PDEs on non-convex polyhedral domains
Stephan Dahlke, Markus Hansen, Cornelia Schneider
TL;DR
This work addresses the regularity of parabolic evolution equations on non-smooth polyhedral domains, with a focus on Besov regularity in the adaptivity scale to justify adaptive schemes. It develops a framework based on Kondratiev spaces and Besov spaces, and uses operator pencils to manage boundary singularities, extending linear parabolic regularity to semilinear problems via Schauder's fixed point theorem. The main contributions are (i) Besov regularity results for linear and nonlinear parabolic problems on polyhedral domains, (ii) a nonlinear fixed-point approach that preserves Besov-regularity under small nonlinear perturbations, and (iii) explicit embeddings that show Besov smoothness can exceed Sobolev smoothness, thus enabling superior adaptive approximation orders. The findings have practical impact on the design and analysis of adaptive/time-m-space schemes for parabolic PDEs in non-convex geometries, with implications for numerical efficiency and convergence rates.
Abstract
This paper is concerned with the regularity of solutions to parabolic evolution equations. We consider semilinear problems on non-convex domains. Special attention is paid to the smoothness in the specific scale $B^r_{τ,τ}$, $\frac{1}τ=\frac rd+ \frac 1p$ of Besov spaces. The regularity in these spaces determines the approximation order that can be achieved by adaptive and other nonlinear approximation schemes. We show that for all cases under consideration the Besov regularity is high enough to justify the use of adaptive algorithms. Our proofs are based on Schauder's fixed point theorem.
