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General framework to construct local-energy solutions of nonlinear diffusion equations for growing initial data.

Authors :
Akagi, Goro
Ishige, Kazuhiro
Sato, Ryuichi
Source :
Journal of Functional Analysis. May2023, Vol. 284 Issue 10, pN.PAG-N.PAG. 1p.
Publication Year :
2023

Abstract

This paper presents an integrated framework to construct local-energy solutions to fairly general nonlinear diffusion equations for initial data growing at infinity under suitable assumptions on local-energy estimates for approximate solutions. A delicate issue for constructing local-energy solutions resides in the identification of weak limits of nonlinear terms for approximate solutions in a limiting procedure. Indeed, such an identification process often needs the maximal monotonicity of nonlinear elliptic operators (involved in the doubly-nonlinear equations) as well as uniform estimates for approximate solutions; however, even the monotonicity is violated due to a localization of the equations, which is also necessary to derive local-energy estimates for approximate solutions. In the present paper, such an inconsistency is systematically overcome by reducing the original equation to a localized one, where a (no longer monotone) localized elliptic operator is decomposed into the sum of a maximal monotone operator and a perturbation, and by integrating all the other relevant processes. Furthermore, the general framework developed in the present paper is also applied to the Finsler porous medium and fast diffusion equations , which are variants of the classical PME and FDE and also classified as a doubly-nonlinear equation. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00221236
Volume :
284
Issue :
10
Database :
Academic Search Index
Journal :
Journal of Functional Analysis
Publication Type :
Academic Journal
Accession number :
162538678
Full Text :
https://doi.org/10.1016/j.jfa.2023.109891