3 papers
math.OC2026
Stabilizability of neural fields from thick subsets
Clemens Bombach, Marco Ragni
An important problem in neuro-engineering is the stabilization of neural fields. In applications, it is often assumed that the actuator placement can be chosen arbitrarily. In this…
math.AP2025
Unique determination of a Kato class potential from boundary data
Clemens Bombach
We prove that a Kato class potential defined on an open, bounded set in with Lipschitz boundary is uniquely determined by the Dirichlet-to-Neumann operator assoc…
math.FA2024
A Logvinenko-Sereda theorem for vector-valued functions and application to control theory
Clemens Bombach, Martin Tautenhahn
We prove a Logvinenko-Sereda Theorem for vector valued functions. That is, for an arbitrary Banach space , all , all , all $f \in L^p (\math…