Basic Matrix Algebra with Algorithms and Applications: 1st Edition (Paperback) book cover

Basic Matrix Algebra with Algorithms and Applications

1st Edition

By Robert A. Liebler

Chapman and Hall/CRC

264 pages | 80 B/W Illus.

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Clear prose, tight organization, and a wealth of examples and computational techniques make Basic Matrix Algebra with Algorithms and Applications an outstanding introduction to linear algebra. The author designed this treatment specifically for freshman majors in mathematical subjects and upper-level students in natural resources, the social sciences, business, or any discipline that eventually requires an understanding of linear models.

With extreme pedagogical clarity that avoids abstraction wherever possible, the author emphasizes minimal polynomials and their computation using a Krylov algorithm. The presentation is highly visual and relies heavily on work with a graphing calculator to allow readers to focus on concepts and techniques rather than on tedious arithmetic. Supporting materials, including test preparation Maple worksheets, are available for download from the Internet.

This unassuming but insightful and remarkably original treatment is organized into bite-sized, clearly stated objectives. It goes well beyond the LACSG recommendations for a first course while still implementing their philosophy and core material. Classroom tested with great success, it prepares readers well for the more advanced studies their fields ultimately will require.


"In brief, I think the book is wonderful! … It's pedagogically excellent … The examples are very thoughtfully chosen, anticipating possible misunderstandings and illuminating both the main idea and some subtleties … The emphasis on recursion is unusual and valuable … It's rich in topics not often, if at all, treated effectively in texts at this level … Again, I think this book is terrific …"

-Harriet Pollatsek, Professor of Mathematics and

Julia and Sarah Ann Adams Professor of Science,

Mount Holyoke College, South Hadley, Massachusetts, USA

Table of Contents


Recognizing Linear Systems and Solutions

Matrices, Equivalence and Row Operations

Echelon Forms and Gaussian Elimination

Free Variables and General Solutions

The Vector Form of the General Solution

Geometric Vectors and Linear Functions

Polynomial Interpolation


Complex Numbers

Matrix Multiplication

Auxiliary Matrices and Matrix Inverses

Symmetric Projectors, Resolving Vectors

Least Squares Approximation

Changing Plane Coordinates

The Fast Fourier Transform and the Euclidean Algorithm.


Eigenvectors and Eigenvalues

The Minimal Polynomial Algorithm

Linear Recurrence Relations

Properties of the Minimal Polynomial

The Sequence {Ak}

Discrete dynamical systems

Matrix compression with components


Area and Composition of Linear Functions

Computing Determinants

Fundamental Properties of Determinants

Further Applications

Appendix: The abstract setting

Selected practice problem answers


About the Series

Chapman Hall/CRC Mathematics Series

Learn more…

Subject Categories

BISAC Subject Codes/Headings:
MATHEMATICS / Algebra / General