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Research Article | Open Access

Homogenization of nonlinear nonlocal diffusion equation with periodic and stationary structure

Junlong Chen1Yanbin Tang1,2( )
School of Mathematics and Statistics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China
Hubei Key Laboratory of Engineering Modeling and Scientific Computing, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China
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Abstract

This paper is devoted to the homogenization of a class of nonlinear nonlocal parabolic equations with time dependent coefficients in a periodic and stationary structure. In the first part, we consider the homogenization problem with a periodic structure. Inspired by the idea of Akagi and Oka for local nonlinear homogenization, by a change of unknown function, we transform the nonlinear nonlocal term in space into a linear nonlocal scaled diffusive term, while the corresponding linear time derivative term becomes a nonlinear one. By constructing some corrector functions, for different time scales r and the nonlinear parameter p, we obtain that the limit equation is a local nonlinear diffusion equation with coefficients depending on r and p. In addition, we also consider the homogenization of the nonlocal porous medium equation with non negative initial values and get similar homogenization results. In the second part, we consider the previous problem in a stationary environment and get some similar homogenization results. The novelty of this paper is two folds. First, for the determination equation with a periodic structure, our study complements the results in literature for r = 2 and p = 1. Second, we consider the corresponding equation with a stationary structure.

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Networks and Heterogeneous Media
Pages 1118-1177

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Cite this article:
Chen J, Tang Y. Homogenization of nonlinear nonlocal diffusion equation with periodic and stationary structure. Networks and Heterogeneous Media, 2023, 18(3): 1118-1177. https://doi.org/10.3934/nhm.2023049

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Received: 20 January 2023
Revised: 07 March 2023
Accepted: 12 March 2023
Published: 15 September 2023
©2023 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)