Flow decomposition for heat equations with memory

Fuente: arXiv
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Hauptverfasser: Wang, Gengsheng, Zhang, Yubiao, Zuazua, Enrique
Format: Preprint
Veröffentlicht: 2021
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author Wang, Gengsheng
Zhang, Yubiao
Zuazua, Enrique
author_facet Wang, Gengsheng
Zhang, Yubiao
Zuazua, Enrique
contents We build up a decomposition for the flow generated by the heat equation with a real analytic memory kernel. It consists of three components: The first one is of parabolic nature; the second one gathers the hyperbolic component of the dynamics, with null velocity of propagation; the last one exhibits a finite smoothing effect. This decomposition reveals the hybrid parabolic-hyperbolic nature of the flow and clearly illustrates the significant impact of the memory term on the parabolic behavior of the system in the absence of memory terms.
format Preprint
id arxiv_https___arxiv_org_abs_2101_09867
institution arXiv
publishDate 2021
record_format arxiv
spellingShingle Flow decomposition for heat equations with memory
Wang, Gengsheng
Zhang, Yubiao
Zuazua, Enrique
Analysis of PDEs
We build up a decomposition for the flow generated by the heat equation with a real analytic memory kernel. It consists of three components: The first one is of parabolic nature; the second one gathers the hyperbolic component of the dynamics, with null velocity of propagation; the last one exhibits a finite smoothing effect. This decomposition reveals the hybrid parabolic-hyperbolic nature of the flow and clearly illustrates the significant impact of the memory term on the parabolic behavior of the system in the absence of memory terms.
title Flow decomposition for heat equations with memory
topic Analysis of PDEs
url https://arxiv.org/abs/2101.09867