Maximal regularity estimates for the abstract Cauchy problems
Sebastian Kr\'ol, Mieczys{\l}aw Masty{\l}o, Jaros{\l}aw Sarnowski

TL;DR
This paper extends the theory of maximal regularity estimates for sectorial operators, providing new results on interpolation spaces, $L^1$-estimates, and a novel framework for $L^p$-maximal regularity, with applications to fluid mechanics.
Contribution
It introduces new maximal regularity results in interpolation spaces, characterizes weighted $L^1$-estimates, and develops a new interpolation framework for $L^p$-maximal regularity.
Findings
Extended Da Prato-Grisvard theory to new interpolation spaces.
Established new homogeneous and inhomogeneous $L^1$-maximal regularity estimates.
Reformulated $L^1$-maximal regularity characterization without semigroup reliance.
Abstract
In this work, we extend the Da Prato-Grisvard theory of maximal regularity estimates for sectorial operators in interpolation spaces. Specifically, for any generator of an analytic semigroup on a Banach space , we identify the interpolation spaces between and the domain of in which the part of satisfies certain maximal regularity estimates. We also establish several new results concerning both homogeneous and inhomogeneous -maximal regularity estimates, extending and completing recent findings in the literature. These results are motivated not only by applications to problems in areas such as fluid mechanics but also by the intrinsic theoretical interest of the subject. In particular, we address the optimal choice of data spaces for the Cauchy problem associated with , ensuring the existence of strong solutions with global-in-time control of their…
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Taxonomy
TopicsAdvanced Harmonic Analysis Research · Mathematical Analysis and Transform Methods · Advanced Banach Space Theory
