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  • © 2018

Applied Linear Algebra

  • Develops a strong conceptual grounding for applying linear algebra in numerous modern applications

  • Weaves the theory of linear algebra with applications across engineering, science, computing, data analysis, and beyond

  • Provides an ideal preparation for future study in applied differential equations

  • Presents material in engaging and informative full color

  • Includes supplementary material: sn.pub/extras

  • Request lecturer material: sn.pub/lecturer-material

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

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eBook USD 59.99
Price excludes VAT (USA)
  • ISBN: 978-3-319-91041-3
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 74.99
Price excludes VAT (USA)
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Table of contents (10 chapters)

  1. Front Matter

    Pages i-xxv
  2. Linear Algebraic Systems

    • Peter J. Olver, Chehrzad Shakiban
    Pages 1-74
  3. Vector Spaces and Bases

    • Peter J. Olver, Chehrzad Shakiban
    Pages 75-128
  4. Inner Products and Norms

    • Peter J. Olver, Chehrzad Shakiban
    Pages 129-182
  5. Orthogonality

    • Peter J. Olver, Chehrzad Shakiban
    Pages 183-234
  6. Minimization and Least Squares

    • Peter J. Olver, Chehrzad Shakiban
    Pages 235-300
  7. Equilibrium

    • Peter J. Olver, Chehrzad Shakiban
    Pages 301-340
  8. Linearity

    • Peter J. Olver, Chehrzad Shakiban
    Pages 341-402
  9. Eigenvalues and Singular Values

    • Peter J. Olver, Chehrzad Shakiban
    Pages 403-474
  10. Iteration

    • Peter J. Olver, Chehrzad Shakiban
    Pages 475-563
  11. Dynamics

    • Peter J. Olver, Chehrzad Shakiban
    Pages 565-632
  12. Back Matter

    Pages 633-679

About this book

This textbook develops the essential tools of linear algebra, with the goal of imparting technique alongside contextual understanding. Applications go hand-in-hand with theory, each reinforcing and explaining the other. This approach encourages students to develop not only the technical proficiency needed to go on to further study, but an appreciation for when, why, and how the tools of linear algebra can be used across modern applied mathematics.

Providing an extensive treatment of essential topics such as Gaussian elimination, inner products and norms, and eigenvalues and singular values, this text can be used for an in-depth first course, or an application-driven second course in linear algebra. In this second edition, applications have been updated and expanded to include numerical methods, dynamical systems, data analysis, and signal processing, while the pedagogical flow of the core material has been improved. Throughout, the text emphasizes the conceptual connections between each application and the underlying linear algebraic techniques, thereby enabling students not only to learn how to apply the mathematical tools in routine contexts, but also to understand what is required to adapt to unusual or emerging problems.

No previous knowledge of linear algebra is needed to approach this text, with single-variable calculus as the only formal prerequisite. However, the reader will need to draw upon some mathematical maturity to engage in the increasing abstraction inherent to the subject. Once equipped with the main tools and concepts from this book, students will be prepared for further study in differential equations, numerical analysis, data science and statistics, and a broad range of applications. The first author’s text, Introduction to Partial Differential Equations, is an ideal companion volume, forming a natural extension of the linear mathematical methods developed here.

Keywords

  • Linear algebra
  • Vector spaces
  • Inner products and norms
  • Equilibrium
  • Eigenvalues and singular values
  • Linear systems
  • Linear algebra textbook
  • Peter Olver textbook
  • Applied linear algebra
  • Principle component analysis
  • Linear iterative systems
  • Dynamical systems
  • matrix theory

Authors and Affiliations

  • School of Mathematics, University of Minnesota, Minneapolis, USA

    Peter J. Olver

  • Department of Mathematics, University of St. Thomas, St. Paul, USA

    Chehrzad Shakiban

About the authors

Peter Olver is Professor of Mathematics at University of Minnesota, Twin Cities. His research centers around Lie groups, differential equations, and various areas of applied mathematics. His previous books include Introduction to Partial Differential Equations (Springer, UTM, 2014), and Applications of Lie Groups to Differential Equations (Springer, GTM 107, 1993).

Chehrzad Shakiban is Professor of Mathematics at University of St. Thomas, St. Paul. Her interests include calculus of variations, computer vision, and innovative learning experiences that illustrate connections between mathematics and the arts.

Bibliographic Information

  • Book Title: Applied Linear Algebra

  • Authors: Peter J. Olver, Chehrzad Shakiban

  • Series Title: Undergraduate Texts in Mathematics

  • DOI: https://doi.org/10.1007/978-3-319-91041-3

  • Publisher: Springer Cham

  • eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)

  • Copyright Information: Springer Nature Switzerland AG 2018

  • Hardcover ISBN: 978-3-319-91040-6

  • Softcover ISBN: 978-3-030-08160-7

  • eBook ISBN: 978-3-319-91041-3

  • Series ISSN: 0172-6056

  • Series E-ISSN: 2197-5604

  • Edition Number: 2

  • Number of Pages: XXV, 679

  • Number of Illustrations: 42 b/w illustrations, 88 illustrations in colour

  • Topics: Linear Algebra, Mathematical Physics

Buying options

eBook USD 59.99
Price excludes VAT (USA)
  • ISBN: 978-3-319-91041-3
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 74.99
Price excludes VAT (USA)
Hardcover Book USD 74.99
Price excludes VAT (USA)