Algebraic Multiplicity of Eigenvalues of Linear Operators [electronic resource] /by J. López-Gómez, C. Mora-Corral.
by López-Gómez, J [author.]; Mora-Corral, C [author.]; SpringerLink (Online service).
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BookSeries: Operator Theory: Advances and Applications: 177Publisher: Basel : Birkhäuser Basel, 2007.Description: XII, 310 p. online resource.ISBN: 9783764384012.Subject(s): Mathematics | Matrix theory | Functional analysis | Operator theory | Mathematical physics | Mathematics | Functional Analysis | Linear and Multilinear Algebras, Matrix Theory | Mathematical Methods in Physics | Operator TheoryDDC classification: 515.7 Online resources: Click here to access online | Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| MAIN LIBRARY | QA319-329.9 (Browse shelf) | Available |
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Finite-dimensional Classic Spectral Theory -- The Jordan Theorem -- Operator Calculus -- Spectral Projections -- Algebraic Multiplicities -- Algebraic Multiplicity Through Transversalization -- Algebraic Multiplicity Through Polynomial Factorization -- Uniqueness of the Algebraic Multiplicity -- Algebraic Multiplicity Through Jordan Chains. Smith Form -- Analytic and Classical Families. Stability -- Algebraic Multiplicity Through Logarithmic Residues -- The Spectral Theorem for Matrix Polynomials -- Further Developments of the Algebraic Multiplicity -- Nonlinear Spectral Theory -- Nonlinear Eigenvalues.
This book brings together all the most important known results of research into the theory of algebraic multiplicities, from well-known classics like the Jordan Theorem to recent developments such as the uniqueness theorem and the construction of multiplicity for non-analytic families, which is presented in this monograph for the first time. Part I (the first three chapters) is a classic course on finite-dimensional spectral theory; Part II (the next eight chapters) contains the most general results available about the existence and uniqueness of algebraic multiplicities for real non-analytic operator matrices and families; and Part III (the last chapter) transfers these results from linear to nonlinear analysis. The text is as self-contained as possible. All the results are established in a finite-dimensional setting, if necessary. Furthermore, the structure and style of the book make it easy to access some of the most important and recent developments. Thus the material appeals to a broad audience, ranging from advanced undergraduates (in particular Part I) to graduates, postgraduates and reseachers who will enjoy the latest developments in the real non-analytic case (Part II).
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