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A Spectral Theory Of Noncommuting Operators / / by Rongwei Yang



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Autore: Yang Rongwei Visualizza persona
Titolo: A Spectral Theory Of Noncommuting Operators / / by Rongwei Yang Visualizza cluster
Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Edizione: 1st ed. 2024.
Descrizione fisica: 1 online resource (277 pages)
Disciplina: 515.7246
Soggetto topico: Functional analysis
Functional Analysis
Teoria espectral (Matemàtica)
Operadors lineals
Soggetto genere / forma: Llibres electrònics
Nota di contenuto: 1 Characteristic Polynomial in Several Variables -- 2 Finite Dimensional Group Representations -- 3 Finite Dimensional Lie Algebras -- 4 Projective Spectrum in Banach Algebras -- 5 The C⇤-algebra of the Infinite Dihedral Group -- 6 The Maurer-Cartan Form of Operator Pencils -- 7 Hermitian Metrics on the Resolvent Set -- 8 Compact Operators and Kernel Bundles -- 9 Weak Containment and Amenability -- 10 Self-similarity and Julia Sets -- References.
Sommario/riassunto: The main goal of this book is to describe various aspects of the theory of joint spectra for matrices and linear operators. It is suitable for a graduate-level topic course in spectral theory and/or representation theory. The first three chapters can also be adopted for an advanced course in linear algebra. Centered around the concept of projective spectrum, the book presents a coherent treatment of fundamental elements from a wide range of mathematical disciplines, such as complex analysis, complex dynamics, differential geometry, functional analysis, group theory, and Lie algebras. Researchers and students, particularly those who aspire to gain a bigger picture of mathematics, will find this book both informative and resourceful.
Titolo autorizzato: A Spectral Theory of Noncommuting Operators  Visualizza cluster
ISBN: 9783031516054
3031516052
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910853994603321
Lo trovi qui: Univ. Federico II
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Serie: Mathematics and Statistics Series