© 2007

Applied Linear Algebra and Matrix Analysis


  • Emphasizes linear algebra as an experimental science

  • Examples are interwoven throughout the text

  • Provides a blend of applications, theory and computation, to illustrate their interdependence


Part of the Undergraduate Texts in Mathematics book series (UTM)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Pages 55-144
  3. Pages 145-210
  4. Pages 251-304
  5. Back Matter
    Pages 355-383

About this book


This new book offers a fresh approach to matrix and linear algebra by providing a balanced blend of applications, theory, and computation, while highlighting their interdependence. Intended for a one-semester course, Applied Linear Algebra and Matrix Analysis places special emphasis on linear algebra as an experimental science, with numerous examples, computer exercises, and projects. While the flavor is heavily computational and experimental, the text is independent of specific hardware or software platforms.

Throughout the book, significant motivating examples are woven into the text, and each section ends with a set of exercises. The student will develop a solid foundation in the following topics

*Gaussian elimination and other operations with matrices

*basic properties of matrix and determinant algebra

*standard Euclidean spaces, both real and complex

*geometrical aspects of vectors, such as norm, dot product, and angle

*eigenvalues, eigenvectors, and discrete dynamical systems

*general norm and inner-product concepts for abstract vector spaces

For many students, the tools of matrix and linear algebra will be as fundamental in their professional work as the tools of calculus; thus it is important to ensure that students appreciate the utility and beauty of these subjects as well as the mechanics. By including applied mathematics and mathematical modeling, this new textbook will teach students how concepts of matrix and linear algebra make concrete problems workable.

Thomas S. Shores is Professor of Mathematics at the University of Nebraska, Lincoln, where he has received awards for his teaching. His research touches on group theory, commutative algebra, mathematical modeling, numerical analysis, and inverse theory.


Eigenvalue Eigenvector Matrix algebra linear algebra

Authors and affiliations

  1. 1.University of Nebraska68588-0130LincolnUSA

Bibliographic information

Industry Sectors
Finance, Business & Banking


From the reviews:

"The book under review is a nice blend of three independent components of linear algebra: Theory, computation and applications. … The book is consisting of the author preface, six chapters, table of symbols, solutions to selected exercises, a bibliography containing 13 references and subject index. … The book is very useful for undergraduate students and nonspecialists." (Mohammad Sal Moslehian, Zentralblatt MATH, Vol. 1128 (6), 2008)

"This book is intended for a one or two semester course, with emphasis on linear algebra as an experimental science. … The text is written in a nice conversational style. Proofs are provided for most results … . The author also provides many computer exercises, projects, and report topics … . Instructors wanting to encourage precision in mathematical writing will find these assignments helpful. … This is a good text for those who want to introduce their students to applied discrete mathematics … ." (Henry Ricardo, The Mathematical Association of America, September, 2008)