Difference between revisions of "Book/Linear Algebra Done Right"
| (One intermediate revision by the same user not shown) | |||
| Line 4: | Line 4: | ||
|last=Axler | |last=Axler | ||
|author-link=Sheldon Axler | |author-link=Sheldon Axler | ||
|date= | |date=2015 | ||
|edition= | |edition=3rd | ||
|isbn= | |isbn=9783319110790 | ||
|publisher=Springer | |publisher=Springer | ||
|location=[[Book/Linear Algebra Done Right|local page]] | |location=[[Book/Linear Algebra Done Right|local page]] | ||
| Line 13: | Line 13: | ||
<noinclude> | <noinclude> | ||
<HR/> | <HR/> | ||
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. | |||
FROM THE REVIEWS: | |||
AMERICAN MATHEMATICAL MONTHLY "The determinant-free proofs are elegant and intuitive." | |||
CHOICE "Every discipline of higher mathematics evinces the profound importance of linear algebra in some way, either for the power derived from its techniques or the inspiration offered by its concepts. Axler demotes determinants (usually quite a central technique in the finite dimensional setting, though marginal in infinite dimensions) to a minor role. To so consistently do without determinants constitutes a tour de forces in the service of simplicity and clarity; these are also well served by the general precision of Axler's prose. Students with a view towards applied mathematics, analysis, or operator theory will be well served. The most original linear algebra book to appear in years, it certainly belongs in every undergraduate library." ZENTRALBLATT MATH "Altogether, the text is a didactic masterpiece." | |||
=Video Series= | |||
This book has a companion video series:[[Video/Linear Algebra Done Right|Linear Algebra Done Right]]<ref>{{:Video/Linear Algebra Done Right}}</ref> by [[Sheldon Axler]]. | This book has a companion video series:[[Video/Linear Algebra Done Right|Linear Algebra Done Right]]<ref>{{:Video/Linear Algebra Done Right}}</ref> by [[Sheldon Axler]]. | ||
Latest revision as of 14:21, 17 July 2022
Axler, Sheldon (2015). Linear Algebra Done Right (3rd ed.). local page: Springer. ISBN 9783319110790.
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. FROM THE REVIEWS: AMERICAN MATHEMATICAL MONTHLY "The determinant-free proofs are elegant and intuitive." CHOICE "Every discipline of higher mathematics evinces the profound importance of linear algebra in some way, either for the power derived from its techniques or the inspiration offered by its concepts. Axler demotes determinants (usually quite a central technique in the finite dimensional setting, though marginal in infinite dimensions) to a minor role. To so consistently do without determinants constitutes a tour de forces in the service of simplicity and clarity; these are also well served by the general precision of Axler's prose. Students with a view towards applied mathematics, analysis, or operator theory will be well served. The most original linear algebra book to appear in years, it certainly belongs in every undergraduate library." ZENTRALBLATT MATH "Altogether, the text is a didactic masterpiece."
Video Series
This book has a companion video series:Linear Algebra Done Right[1] by Sheldon Axler.
References
- ↑ Axler, Sheldon (Mar 29, 2017). Linear Algebra Done Right. local page: Sheldon Axler.
Related Pages
Authored by:Sheldon Axler