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Linear Algebra Done Right 2ND Edition

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Linear Algebra Done Right 2ND Edition Cover

 

Synopses & Reviews

Publisher Comments:

This text for a second course in linear algebra is aimed at math majors and graduate students. The novel approach taken here banishes determinants to the end of the book and focuses on the central goal of linear algebra: understanding the structure of linear operators on vector spaces. The author has taken unusual care to motivate concepts and to simplify proofs. For example, the book presents--without having defined determinants--a clean proof that every linear operator on a finite-dimensional complex vector space (or an odd-dimensional real vector space) has an eigenvalue. A variety of interesting exercises in each chapter helps students understand and manipulate the objects of linear algebra. No prerequisites are assumed other than the usual demand for suitable mathematical maturity. Thus, the text starts by discussing vector spaces, linear independence, span, basis, and dimension. Students are introduced to inner-product spaces in the first half of the book and shortly thereafter to the finite-dimensional spectral theorem. This second edition includes a new section on orthogonal projections and minimization problems. The sections on self-adjoint operators, normal operators, and the spectral theorem have been rewritten. New examples and new exercises have been added, several proofs have been simplified, and hundreds of minor improvements have been made throughout the text.

Synopsis:

This text for a second course in linear algebra is aimed at math majors and graduate students. The approach is novel, banishing determinants to the end of the book and focusing on the central goal of linear algebra: understanding the structure of linear operators on vector spaces.

Synopsis:

This text for a second course in linear algebra, aimed at math majors and graduates, adopts a novel approach by banishing determinants to the end of the book and focusing on understanding the structure of linear operators on vector spaces. The author has taken unusual care to motivate concepts and to simplify proofs. For example, the book presents - without having defined determinants - a clean proof that every linear operator on a finite-dimensional complex vector space has an eigenvalue. The book starts by discussing vector spaces, linear independence, span, basics, and dimension. Students are introduced to inner-product spaces in the first half of the book and shortly thereafter to the finite- dimensional spectral theorem. A variety of interesting exercises in each chapter helps students understand and manipulate the objects of linear algebra. This second edition features new chapters on diagonal matrices, on linear functionals and adjoints, and on the spectral theorem; some sections, such as those on self-adjoint and normal operators, have been entirely rewritten; and hundreds of minor improvements have been made throughout the text.

Table of Contents

1: Vector Spaces 2: Finite-Dimensional Vector Spaces 3: Linear Maps 4: Polynomials 5: Eigenvalues and Eigenvectors 6: Inner-Product Spaces 7: Operators on Inner-Product Spaces 8: Operators on Complex Vector Spaces 9: Operators on Real Vector Spaces 10: Trace and Determinant

Product Details

ISBN:
9780387982588
Author:
Axler, Sheldon
Publisher:
Springer
Location:
New York :
Subject:
Algebra - Linear
Subject:
Algebras, linear
Subject:
Linear and Multilinear Algebras, Matrix Theory
Subject:
Mathematics-Linear Algebra
Copyright:
Edition Number:
2
Edition Description:
1997. Corr. 7th
Series:
Undergraduate Texts in Mathematics
Series Volume:
105-3
Publication Date:
February 2004
Binding:
TRADE PAPER
Language:
English
Illustrations:
Yes
Pages:
268
Dimensions:
235 x 194 mm 1050 gr

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Related Subjects


Science and Mathematics » Mathematics » Algebra » General
Science and Mathematics » Mathematics » Algebra » Linear Algebra
Science and Mathematics » Mathematics » Calculus » General
Science and Mathematics » Mathematics » General
Textbooks » General

Linear Algebra Done Right 2ND Edition New Trade Paper
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Product details 268 pages Springer-Verlag - English 9780387982588 Reviews:
"Synopsis" by , This text for a second course in linear algebra is aimed at math majors and graduate students. The approach is novel, banishing determinants to the end of the book and focusing on the central goal of linear algebra: understanding the structure of linear operators on vector spaces.
"Synopsis" by , This text for a second course in linear algebra, aimed at math majors and graduates, adopts a novel approach by banishing determinants to the end of the book and focusing on understanding the structure of linear operators on vector spaces. The author has taken unusual care to motivate concepts and to simplify proofs. For example, the book presents - without having defined determinants - a clean proof that every linear operator on a finite-dimensional complex vector space has an eigenvalue. The book starts by discussing vector spaces, linear independence, span, basics, and dimension. Students are introduced to inner-product spaces in the first half of the book and shortly thereafter to the finite- dimensional spectral theorem. A variety of interesting exercises in each chapter helps students understand and manipulate the objects of linear algebra. This second edition features new chapters on diagonal matrices, on linear functionals and adjoints, and on the spectral theorem; some sections, such as those on self-adjoint and normal operators, have been entirely rewritten; and hundreds of minor improvements have been made throughout the text.
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