English

Controllability problem of an evolution equation with singular memory

Optimization and Control 2025-04-25 v1

Abstract

This work addresses control problems governed by a semilinear evolution equation with singular memory kernel κ(t)=αeβttν1Γ(ν)\kappa(t)=\alpha e^{-\beta t}\frac{t^{\nu-1}}{\Gamma(\nu)}, where α>0,β0\alpha>0, \beta\ge 0, and 0<ν<10<\nu<1. We examine the existence of a mild solution and the approximate controllability of both linear and semilinear control systems. To this end, we introduce the concept of a resolvent family associated with the linear evolution equation with memory and develop some of its essential properties. Subsequently, we consider a linear-quadratic regulator problem to determine the optimal control that yields approximate controllability for the linear control system. Furthermore, we derive sufficient conditions for the existence of a mild solution and the approximate controllability of a semilinear system in a super-reflexive Banach space. Additionally, we present an approximate controllability result within the framework of a general Banach space. Finally, we apply our theoretical findings to investigate the approximate controllability of the heat equation with singular memory.

Keywords

Cite

@article{arxiv.2504.17566,
  title  = {Controllability problem of an evolution equation with singular memory},
  author = {Sumit Arora and Rodrigo Ponce},
  journal= {arXiv preprint arXiv:2504.17566},
  year   = {2025}
}
R2 v1 2026-06-28T23:09:56.269Z