9783319110790-3319110799-Linear Algebra Done Right (Undergraduate Texts in Mathematics)

Linear Algebra Done Right (Undergraduate Texts in Mathematics)

ISBN-13: 9783319110790
ISBN-10: 3319110799
Edition: 3rd ed. 2015
Author: Sheldon Axler
Publication date: 2014
Publisher: Springer
Format: Hardcover 357 pages
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ISBN-13: 9783319110790
ISBN-10: 3319110799
Edition: 3rd ed. 2015
Author: Sheldon Axler
Publication date: 2014
Publisher: Springer
Format: Hardcover 357 pages

Summary

Linear Algebra Done Right (Undergraduate Texts in Mathematics) (ISBN-13: 9783319110790 and ISBN-10: 3319110799), written by authors Sheldon Axler, was published by Springer in 2014. With an overall rating of 4.5 stars, it's a notable title among other Pure Mathematics (Mathematics) books. You can easily purchase or rent Linear Algebra Done Right (Undergraduate Texts in Mathematics) (Hardcover, Used) from BooksRun, along with many other new and used Pure Mathematics books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $17.53.

Description

This best-selling textbook for a second course in linear algebra is aimed at undergrad math majors and graduate students. The novel approach taken here banishes determinants to the end of the book. The text focuses on the central goal of linear algebra: understanding the structure of linear operators on finite-dimensional vector spaces. The author has taken unusual care to motivate concepts and to simplify proofs. A variety of interesting exercises in each chapter helps students understand and manipulate the objects of linear algebra.

The third edition contains major improvements and revisions throughout the book. More than 300 new exercises have been added since the previous edition. Many new examples have been added to illustrate the key ideas of linear algebra. New topics covered in the book include product spaces, quotient spaces, and dual spaces. Beautiful new formatting creates pages with an unusually pleasant appearance in both print and electronic versions.

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. The book then deals with linear maps, eigenvalues, and eigenvectors. Inner-product spaces are introduced, leading to the finite-dimensional spectral theorem and its consequences. Generalized eigenvectors are then used to provide insight into the structure of a linear operator.

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