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Mathematical Methods in the Applied Sciences
Article . 2020 . Peer-reviewed
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Article . 2021
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Eigenmeasures and stochastic diagonalization of bilinear maps

Authors: Ezgi Erdoğan; Enrique A. Sánchez Pérez;

Eigenmeasures and stochastic diagonalization of bilinear maps

Abstract

A new stochastic approach is presented to understand general spectral type problems for (not necessarily linear) functions between topological spaces. In order to show its potential applications, we construct the theory for the case of bilinear forms acting in couples of a Banach space and its dual. Our method consists of using integral representations of bilinear maps that satisfy particular domination properties, which is shown to be equivalent to having a certain spectral structure. Thus, we develop a measure‐based technique for the characterization of bilinear operators having a spectral representation, introducing the notion of eigenmeasure, which will become the central tool of our formalism. Specific applications are provided for operators between finite and infinite dimensional linear spaces.

Keywords

Nonlinear spectral theory, Banach space, Nonlinear spectral theory, nonlinear eigenvalue problems, Eigenvalue, Eigenmeasure, eigenmeasure, Inequalities involving eigenvalues and eigenvectors, Multilinear and polynomial operators, Factorization theory (including Wiener-Hopf and spectral factorizations) of linear operators, Eigenvalue problems for linear operators, eigenvalue, nonlinear spectral theory, Multilinear operators, MATEMATICA APLICADA, multilinear operators

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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