Propagation of regularity for transport equations. A Littlewood-Paley approach
David Meyer, Christian Seis

TL;DR
This paper introduces a novel Littlewood-Paley based method to analyze the regularity of solutions to transport equations, improving understanding of their behavior and convergence properties in the zero-diffusivity limit.
Contribution
It develops a new approach using Besov norms for regularity analysis, extending existing results to diffusive cases with optimal bounds.
Findings
Recovered known regularity propagation results
Extended analysis to diffusive transport equations
Derived sharp convergence rates in zero-diffusivity limit
Abstract
It is known that linear advection equations with Sobolev velocity fields have very poor regularity properties: Solutions propagate only derivatives of logarithmic order, which can be measured in terms of suitable Gagliardo seminorms. We propose a new approach to the study of regularity that is based on Littlewood-Paley theory, thus measuring regularity in terms of Besov norms. We recover the results that are available in the literature and extend these optimally to the diffusive setting. As a consequence, we derive sharp bounds on rates of convergence in the zero-diffusivity limit.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNonlinear Partial Differential Equations · Navier-Stokes equation solutions · Markov Chains and Monte Carlo Methods
