Spectral and topological methods in the study of solvability of semilinear equations in Hilbert spaces
Przemys{\l}aw Zieli\'nski

TL;DR
This dissertation develops spectral and topological methods to establish conditions for the existence of solutions to semilinear equations in Hilbert spaces, especially when zero lies in the essential spectrum of the linear operator.
Contribution
It introduces novel approaches for handling the case where zero is in the essential spectrum, using degree theory and monotonicity methods, extending previous results.
Findings
Established solution existence conditions for semilinear equations with zero in the essential spectrum
Applied degree theory and monotonicity techniques to nonlinear operator equations
Proved solvability of stationary semilinear Schrödinger equations
Abstract
The main goal of this dissertation is to find conditions which will guarantee the existence of solutions in the Hilbert space of semilinear equation \[ L u+N(u)=h \] where is a linear and self-adjoint operator, a non-linear mapping and . In this project we concentrate on the case when belongs to the essential spectrum of operator which was not previously studied in this general setting. In chapter 2 we additionally assume that is the infimum of the essential spectrum of . We apply the degree theory for densely defined mappings of class to the operator given by the left hand side of the equation. We assume that non-linear part is quasi-monotone and satisfies sublinear growth condition. Moreover, since can have non-trivial eigenspace, we make use of the so called recession functional connected with and which allows to control…
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 · Stability and Controllability of Differential Equations · Nonlinear Partial Differential Equations
