Sampling Observability for Heat Equations with Memory
Optimization and Control
2024-11-22 v1 Analysis of PDEs
Abstract
This paper studies the sampling observability for the heat equations with memory in the lower-order term, where the observation is conducted at a finite number of time instants and on a small open subset at each time instant. We present a two-sided sampling observability inequality and give a sharp sufficient condition to ensure the aforementioned inequality. We also provide a method to select the time instants and then to design the observation regions, based on a given memory kernel, such that the above-mentioned inequality holds for these time instants and observation regions. Additionally, we demonstrate that the positions of these time instants depend significantly on the memory kernel.
Cite
@article{arxiv.2411.14382,
title = {Sampling Observability for Heat Equations with Memory},
author = {Lingying Ma and Gengsheng Wang and Yubiao Zhang},
journal= {arXiv preprint arXiv:2411.14382},
year = {2024}
}