Regularization and persistence in nonlinear diffusion equations with measure initial data

In this paper, we study nonnegative Radon measure-valued solutions of the Cauchy–Dirichlet problem for [Formula: see text] in a bounded domain with [Formula: see text] smooth, strictly increasing, and sublinear at infinity. Specific assumptions on the behavior of the second derivative of [Formula: see text] for large arguments are also made. Conditions are given under which parts of the initial measure persist, or solutions gain [Formula: see text] (or even [Formula: see text]) regularity for positive times. Constructive methods, comparison techniques and estimates of Aronson–Bénilan type are used.

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Publication Details

Journal
Communications in Contemporary Mathematics
Published
2025-11-21
DOI
https://doi.org/10.1142/s0219199725400097
Primary Topic
Nonlinear Partial Differential Equations
Type
article
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article

Regularization and persistence in nonlinear diffusion equations with measure initial data

Flavia Smarrazzo, Maria Michaela Porzio, Alberto Tesei
Communications in Contemporary Mathematics
Nonlinear Partial Differential Equations
article

Regularization and persistence in nonlinear diffusion equations with measure initial data

Flavia Smarrazzo, Maria Michaela Porzio, Alberto Tesei
article en

Abstract

In this paper, we study nonnegative Radon measure-valued solutions of the Cauchy–Dirichlet problem for [Formula: see text] in a bounded domain with [Formula: see text] smooth, strictly increasing, and sublinear at infinity. Specific assumptions on the behavior of the second derivative of [Formula: see text] for large arguments are also made. Conditions are given under which parts of the initial measure persist, or solutions gain [Formula: see text] (or even [Formula: see text]) regularity for positive times. Constructive methods, comparison techniques and estimates of Aronson–Bénilan type are used.

Communications in Contemporary Mathematics
Università Campus Bio-Medico (IT), Istituto per le Applicazioni del Calcolo Mauro Picone (IT), Sapienza University of Rome (IT)
Openalex Percentile: Top 51%
Nonlinear Partial Differential Equations
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