English

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}
}
R2 v1 2026-06-23T22:28:37.440Z