Flow decomposition for heat equations with memory
Analysis of PDEs
2024-11-22 v3
Abstract
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.
Keywords
Cite
@article{arxiv.2101.09867,
title = {Flow decomposition for heat equations with memory},
author = {Gengsheng Wang and Yubiao Zhang and Enrique Zuazua},
journal= {arXiv preprint arXiv:2101.09867},
year = {2024}
}