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© LIBERO v6.4.1sp220816
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Linear Algebra Done Right
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Catalogue Information
Field name
Details
Dewey Class
512.5
Title
Linear Algebra Done Right ([EBook]) / by Sheldon Axler.
Author
Axler, Sheldon
Other name(s)
SpringerLink (Online service)
Edition statement
3rd ed. 2015.
Publication
Cham : : Springer International Publishing : : Imprint: Springer, , 2015.
Physical Details
XVII, 340 p. 26 illus. in color. : online resource.
Series
Undergraduate texts in mathematics
0172-6056
ISBN
9783319110806
Summary Note
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.:
System details note
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site
http://dx.doi.org/10.1007/978-3-319-11080-6
Links to Related Works
Subject References:
Algebra
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Linear and Multilinear Algebras, Matrix Theory
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Mathematics
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Matrix theory
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Authors:
Axler, Sheldon
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Corporate Authors:
SpringerLink (Online service)
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Series:
Undergraduate texts in mathematics
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Classification:
512.5
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512.5 (DDC 23)
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