Introduction to Nonlinear Spectral Analysis

Fuente: arXiv
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Autores principales: Bungert, Leon, Korolev, Yury
Formato: Preprint
Publicado: 2025
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author Bungert, Leon
Korolev, Yury
author_facet Bungert, Leon
Korolev, Yury
contents These notes are meant as an introduction to the theory of nonlinear spectral theory. We will discuss the variational form of nonlninear eigenvalue problems and the corresponding non-linear Euler--Lagrange equations, as well as connections with gradient flows. For the latter ones, we will give precise conditions for finite time extinction and discuss convergence rates. We will use this theory to study asymptotic behaviour of nonlinear PDEs and present applications in $L^\infty$ variational problems. Finally we will discuss numerical methods for solving gradient flows and computing nonlinear eigenfunctions based on a nonlinear power method. Our main tools are convex analysis and calculus of variations, necessary background on which will be provided. It is expected that the reader is familiar with Hilbert spaces; familiarity with Banach spaces is beneficial but not strictly necessary. The notes are based on the lectures taught by the authors at the universities of Bonn and Cambridge in 2022.
format Preprint
id arxiv_https___arxiv_org_abs_2506_08754
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Introduction to Nonlinear Spectral Analysis
Bungert, Leon
Korolev, Yury
Spectral Theory
Analysis of PDEs
Optimization and Control
These notes are meant as an introduction to the theory of nonlinear spectral theory. We will discuss the variational form of nonlninear eigenvalue problems and the corresponding non-linear Euler--Lagrange equations, as well as connections with gradient flows. For the latter ones, we will give precise conditions for finite time extinction and discuss convergence rates. We will use this theory to study asymptotic behaviour of nonlinear PDEs and present applications in $L^\infty$ variational problems. Finally we will discuss numerical methods for solving gradient flows and computing nonlinear eigenfunctions based on a nonlinear power method. Our main tools are convex analysis and calculus of variations, necessary background on which will be provided. It is expected that the reader is familiar with Hilbert spaces; familiarity with Banach spaces is beneficial but not strictly necessary. The notes are based on the lectures taught by the authors at the universities of Bonn and Cambridge in 2022.
title Introduction to Nonlinear Spectral Analysis
topic Spectral Theory
Analysis of PDEs
Optimization and Control
url https://arxiv.org/abs/2506.08754