Quantitative stability for eigenvalues of Schr\"{o}dinger operator, Quantitative bathtub principle \& Application to the turnpike property for a bilinear optimal control problem
Idriss Mazari, Domenec Ruiz-Balet

TL;DR
This paper establishes quantitative inequalities for the first eigenvalue of Schrödinger operators and applies these results to demonstrate a turnpike property in bilinear optimal control problems, linking spectral optimization to control theory.
Contribution
It introduces a new method based on a quantitative bathtub principle for spectral optimization and applies it to analyze the turnpike property in bilinear control systems.
Findings
Quantitative inequalities for eigenvalues under $L^ Infty$ and $L^1$ constraints.
A new approach using the quantitative bathtub principle.
Uniform bounds on the distance of optimal controls to the eigenvalue optimizer set.
Abstract
This work is concerned with two optimisation problems that we tackle from a qualitative perspective. The first one deals with quantitative inequalities for spectral optimisation problems for Schr\"{o}dinger operators in general domains, the second one deals with the turnpike property for optimal bilinear control problems. In the first part of this article, we prove, under mild technical assumptions, quantitative inequalities for the optimisation of the first eigenvalue of with Dirichlet boundary conditions with respect to the potential , under and constraints. This is done using a new method of proof which relies on in a crucial way on a quantitative bathtub principle. We believe our approach susceptible of being generalised to other steady elliptic optimisation problems. In the second part of this paper, we use this inequality to tackle a turnpike…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Mathematical Modeling in Engineering · Numerical methods in inverse problems · Nonlinear Partial Differential Equations
