Maximum principle preserving nonlocal diffusion model with Dirichlet boundary condition

Fuente: arXiv
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Autori principali: Meng, Yanzun, Shi, Zuoqiang
Natura: Preprint
Pubblicazione: 2023
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author Meng, Yanzun
Shi, Zuoqiang
author_facet Meng, Yanzun
Shi, Zuoqiang
contents In this paper, we propose nonlocal diffusion models with Dirichlet boundary. These nonlocal diffusion models preserve the maximum principle and also have corresponding variational form. With these good properties, we can prove the well-posedness and the vanishing nonlocality convergence. Furthermore, by specifically designed weight function, we can get a nonlocal diffusion model with second order convergence which is optimal for nonlocal diffusion models.
format Preprint
id arxiv_https___arxiv_org_abs_2310_01221
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Maximum principle preserving nonlocal diffusion model with Dirichlet boundary condition
Meng, Yanzun
Shi, Zuoqiang
Analysis of PDEs
Numerical Analysis
In this paper, we propose nonlocal diffusion models with Dirichlet boundary. These nonlocal diffusion models preserve the maximum principle and also have corresponding variational form. With these good properties, we can prove the well-posedness and the vanishing nonlocality convergence. Furthermore, by specifically designed weight function, we can get a nonlocal diffusion model with second order convergence which is optimal for nonlocal diffusion models.
title Maximum principle preserving nonlocal diffusion model with Dirichlet boundary condition
topic Analysis of PDEs
Numerical Analysis
url https://arxiv.org/abs/2310.01221