
A Concise Text on Advanced Linear Algebra
Yisong Yang(Author)
Cambridge University Press
Published on 4. December 2014
Book
Paperback/Softback
331 pages
978-1-107-45681-5 (ISBN)
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Description
This engaging textbook for advanced undergraduate students and beginning graduates covers the core subjects in linear algebra. The author motivates the concepts by drawing clear links to applications and other important areas, such as differential topology and quantum mechanics. The book places particular emphasis on integrating ideas from analysis wherever appropriate. For example, the notion of determinant is shown to appear from calculating the index of a vector field which leads to a self-contained proof of the Fundamental Theorem of Algebra, and the Cayley-Hamilton theorem is established by recognizing the fact that the set of complex matrices of distinct eigenvalues is dense. The material is supplemented by a rich collection of over 350 mostly proof-oriented exercises, suitable for students from a wide variety of backgrounds. Selected solutions are provided at the back of the book, making it suitable for self-study as well as for use as a course text.
More details
Language
English
Place of publication
Cambridge
United Kingdom
Target group
Professional and scholarly
College/higher education
Product notice
Paperback (trade)
Illustrations
Worked examples or Exercises
Dimensions
Height: 228 mm
Width: 152 mm
Thickness: 20 mm
Weight
490 gr
ISBN-13
978-1-107-45681-5 (9781107456815)
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Schweitzer Classification
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Book
06/2025
2nd Edition
Cambridge University Press
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Additional editions

Yisong Yang
A Concise Text on Advanced Linear Algebra
E-Book
12/2014
Cambridge University Press
€26.49
Available for download
Person
Yisong Yang is Professor of Mathematics at the Polytechnic School of Engineering, New York University. His areas of research are partial differential equations and mathematical physics. He is a Fellow of the American Mathematical Society and the author of Solitons in Field Theory and Nonlinear Analysis (2001).
Content
Preface; Notation and convention; 1. Vector spaces; 2. Linear mappings; 3. Determinants; 4. Scalar products; 5. Real quadratic forms and self-adjoint mappings; 6. Complex quadratic forms and self-adjoint mappings; 7. Jordan decomposition; 8. Selected topics; 9. Excursion: quantum mechanics in a nutshell; Solutions to selected problems; Bibliographic notes; References; Index.