Advanced Linear and Matrix Algebra - Tapa dura

Johnston, Nathaniel

 
9783030528140: Advanced Linear and Matrix Algebra
Tapa dura
ISBN 10: 3030528146 ISBN 13: 9783030528140
Editorial: Springer-Verlag GmbH, 2021

Sinopsis

This textbook emphasizes the interplay between algebra and geometry to motivate the study of advanced linear algebra techniques. Building on a first course in linear algebra, this book offers readers a deeper understanding of abstract structures, matrix decompositions, multilinearity, and tensors.

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Acerca del autor

Nathaniel Johnston is an Associate Professor of Mathematics at Mount Allison University in New Brunswick, Canada. His research makes use of linear algebra, matrix analysis, and convex optimization to tackle questions related to the theory of quantum entanglement. His companion volume, Introduction to Linear and Matrix Algebra, is also published by Springer.

De la contraportada

This textbook emphasizes the interplay between algebra and geometry to motivate the study of advanced linear algebra techniques. Matrices and linear transformations are presented as two sides of the same coin, with their connection motivating inquiry throughout the book. Building on a first course in linear algebra, this book offers readers a deeper understanding of abstract structures, matrix decompositions, multilinearity, and tensors. Concepts draw on concrete examples throughout, offering accessible pathways to advanced techniques.

Beginning with a study of vector spaces that includes coordinates, isomorphisms, orthogonality, and projections, the book goes on to focus on matrix decompositions. Numerous decompositions are explored, including the Shur, spectral, singular value, and Jordan decompositions. In each case, the author ties the new technique back to familiar ones, to create a coherent set of tools. Tensors and multilinearity complete the book, with a study of the Kronecker product, multilinear transformations, and tensor products. Throughout, Extra Topic sections augment the core content with a wide range of ideas and applications, from the QR and Cholesky decompositions, to matrix-valued linear maps and semidefinite programming. Exercises of all levels accompany each section.

Advanced Linear and Matrix Algebra offers students of mathematics, data analysis, and beyond the essential tools and concepts needed for further study. The engaging color presentation and frequent marginal notes showcase the author s visual approach. A first course in proof-based linear algebra is assumed. An ideal preparation can be found in the author s companion volume, Introduction to Linear and Matrix Algebra.

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Editorial
Springer-Verlag GmbH
Año de publicación
2021
Idioma
Inglés
ISBN 10 
3030528146
ISBN 13 
9783030528140
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
510
Contacto del fabricante
ProductSafety@springernature.com
ProductSafety@springernature.com

Poststr. 9
Darmstadt
64293
Alemania

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9783030528171: Advanced Linear and Matrix Algebra

Edición Destacada

ISBN 10:  3030528170 ISBN 13:  9783030528171
Editorial: Springer, 2022
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