Elementary Linear Algebra: Applications Version, 11th Edition

ISBN: 9781118938881

Elementary Linear Algebra Applications Version 11th Edition presents the fundamentals of linear algebra in the clearest possible way, examining basic ideas by means of computational examples and geometrical interpretation. This text is written so that it proceeds from familiar concepts to the unfamiliar, delivering clear explanations of each new section.


Elementary Linear Algebra, 11th Edition comes with WileyPLUS, where you can access an online version of the textbook and a comprehensive collection of self-study tools that will help you ace your exams. By offering varied questions and instantaneous feedback to your answers, WileyPLUS makes every study session successful.


  • Emphasises Visualisation: Geometric aspects of various topics are emphasised, to support visual learners, and to provide an additional layer of understanding.
  • Proof Sketches: Sharpen your mathematical reasoning skills and understanding of proofs by filling in justifications for proof steps in some exercises
  • Highlights Relationships Among Concepts: Anton helps you perceive linear algebra as a cohesive subject by continually revisiting the web of relationships among systems of equations, matrices, determinants, vectors, linear transformations, and eigenvalues.
Howard Anton, obtained his B.A. from Lehigh University, his M.A. from the University of Illinois, and his Ph.D. from the Polytechnic University of Brooklyn, all in mathematics. In 1968 he joined the Mathematics Department at Drexel University, where he taught full time until 1983. Since then he has devoted the majority of his time to textbook writing and activities for mathematical associations. Dr. Anton was president of the EPADEL Section of the Mathematical Association of America (MAA), served on the Board of Governors of that organisation, and guide the creation of the Student Chapters of the MAA. There are currently more than 175 versions of his books, including translations into many different languages.

Chris Rorres, earned his B.S. degree from Drexel University and his Ph.D. from the Courant Institute of New York University. He was a faculty member of the Department of Mathematics at Drexel University for more than 30 years where, in addition to teaching, he did applied research in solar engineering, acoustic scattering, population dynamics, computer system reliability, geometry of archaeological sites, optimal animal harvesting policies, and decision theory. He retired from Drexel in 2001 as a Professor Emeritus of Mathematics and is now a mathematical consultant.

1. Systems of Linear Equations and Matrices
2. Determinants
3. Euclidean Vector Spaces
4. General Vector Spaces
5. Eigenvalues and Eigenvectors
6. Inner Product Spaces
7. Diagonalization and Quadratic Forms
8. General Linear Transformations
9. Numerical Methods
10. Applications of Linear Algebra
APPENDIX A Working with Proofs
APPENDIX B Complex Numbers
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