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Matrices: Algebra, Analysis and Applications

by Friedland Shmuel

Matrix theory across algebra, analysis, and applications

Regular price $74.85 USD
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Paperback New English

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AlbakiReads Editorial

Matrix theory across algebra, analysis, and applications

Across seven loosely connected but interdependent chapters, the volume examines advanced matrix theory through tools from algebra, analysis, geometry, and numerical analysis. Topics range from matrices over integral domains and canonical forms for similarity to matrix functions, operators on inner product spaces, tensor products, and non-negative matrices. The breadth makes this a research-oriented treatment rather than a single-topic introduction, with connections extending into several areas of pure and applied mathematics.

Good fit for readers who enjoy

  • Graduate students seeking advanced material in matrix theory.
  • Researchers in mathematics and fields such as computer science, engineering, physics, or statistics.
  • Readers interested in connections between algebraic, analytic, geometric, and numerical approaches to matrices.

Themes

Advanced matrix theoryAlgebra and analysisSimilarity and canonical formsOperators and multilinear algebraNon-negative matrices

Based on publisher information and book metadata.

Book overview

 

This volume deals with advanced topics in matrix theory using the notions and tools from algebra, analysis, geometry and numerical analysis. It consists of seven chapters that are loosely connected and interdependent. The choice of the topics is very personal and reflects the subjects that the author was actively working on in the last 40 years. Many results appear for the first time in the volume. Readers will encounter various properties of matrices with entries in integral domains, canonical forms for similarity, and notions of analytic, pointwise and rational similarity of matrices with entries which are locally analytic functions in one variable. This volume is also devoted to various properties of operators in inner product space, with tensor products and other concepts in multilinear algebra, and the theory of non-negative matrices. It will be of great use to graduate students and researchers working in pure and applied mathematics, bioinformatics, computer science, engineering, operations research, physics and statistics.

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