Linear Algebra
Published on 26. September 2014
Book
Paperback/Softback
384 pages
978-0-486-78055-9 (ISBN)
Description
A thorough first course in linear algebra, this two-part treatment begins with the basic theory of vector spaces and linear maps, including dimension, determinants, eigenvalues, and eigenvectors. The second section addresses more advanced topics such as the study of canonical forms for matrices.
The treatment can be tailored to satisfy the requirements of both introductory and advanced courses. Introductory courses that also serve as an initiation into formal mathematics will focus on the first six chapters. Students already schooled in matrices and linear mappings as well as theorem-proving will quickly proceed to selected chapters from part two. The selection can emphasize algebra or analysis/geometry, as needed. Ample examples, applications, and exercises appear throughout the text, which is supplemented by three helpful Appendixes.
Reprint of the Oxford University Press, New York, 1992 edition.
The treatment can be tailored to satisfy the requirements of both introductory and advanced courses. Introductory courses that also serve as an initiation into formal mathematics will focus on the first six chapters. Students already schooled in matrices and linear mappings as well as theorem-proving will quickly proceed to selected chapters from part two. The selection can emphasize algebra or analysis/geometry, as needed. Ample examples, applications, and exercises appear throughout the text, which is supplemented by three helpful Appendixes.
Reprint of the Oxford University Press, New York, 1992 edition.
More details
Language
English
Place of publication
United States
Target group
College/higher education
Dimensions
Height: 233 mm
Width: 187 mm
Thickness: 25 mm
Weight
655 gr
ISBN-13
978-0-486-78055-9 (9780486780559)
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Schweitzer Classification
Person
Sterling K. Berberian is Professor Emeritus of Mathematics at the University of Texas at Austin and is the author of several books, including Introduction to Hilbert Space, Fundamentals of Real Analysis, and Measure and Integration.