English

Observability for Non-autonomous Systems

Functional Analysis 2023-02-28 v3 Analysis of PDEs Optimization and Control

Abstract

We study non-autonomous observation systems \begin{align*} \dot{x}(t) = A(t) x(t),\quad y(t) = C(t) x(t),\quad x(0) = x_0\in X, \end{align*} where (A(t))(A(t)) is a strongly measurable family of closed operators on a Banach space XX and (C(t))(C(t)) is a family of bounded observation operators from XX to a Banach space YY. Based on an abstract uncertainty principle and a dissipation estimate, we prove that the observation system satisfies a final-state observability estimate in Lr(E;Y)\mathrm{L}^r(E; Y) for measurable subsets E[0,T],T>0E \subseteq [0,T], T > 0. We present applications of the above result to families (A(t))(A(t)) of uniformly strongly elliptic differential operators as well as non-autonomous Ornstein-Uhlenbeck operators P(t)P(t) on Lp(Rd)\mathrm{L}^p(\mathbb{R}^d) with observation operators C(t)u=uΩ(t)C(t)u = u|_{\Omega(t)}. In the setting of non-autonomous strongly elliptic operators, we derive necessary and sufficient geometric conditions on the family of sets (Ω(t))(\Omega(t)) such that the corresponding observation system satisfies a final-state observability estimate.

Keywords

Cite

@article{arxiv.2203.08469,
  title  = {Observability for Non-autonomous Systems},
  author = {Clemens Bombach and Fabian Gabel and Christian Seifert and Martin Tautenhahn},
  journal= {arXiv preprint arXiv:2203.08469},
  year   = {2023}
}

Comments

minor corrections

R2 v1 2026-06-24T10:15:21.473Z