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Book Synopsis
This set features

Linear Algebra and Its Applications, Second Edition (978-0-471-75156-4)
Linear Algebra and Its Applications, Second Edition presents linear algebra as the theory and practice of linear spaces and linear maps with a unique focus on the analytical aspects as well as the numerous applications of the subject. In addition to thorough coverage of linear equations, matrices, vector spaces, game theory, and numerical analysis, the Second Edition features student-friendly additions that enhance the book''s accessibility, including expanded topical coverage in the early chapters, additional exercises, and solutions to selected problems.

Beginning chapters are devoted to the abstract structure of finite dimensional vector spaces, and subsequent chapters address convexity and the duality theorem as well as describe the basics of normed linear spaces and linear maps between normed spaces.

Further updates and revisions have been i

Trade Review
"...an informative and useful book, distinguished by its blend of theory and applications, which fulfills its goals admirably." (MAA Review March 2008)

Table of Contents
Preface.

Preface to the First Edition.

1. Fundamentals.

2. Duality.

3. Linear Mappings.

4. Matrices.

5. Determinant and Trace.

6. Spectral Theory.

7. Euclidean Structure.

8. Spectral Theory of Self-Adjoint Mappings.

9. Calculus of Vector- and Matrix-Valued Functions.

10. Matrix Inequalities.

11. Kinematics and Dynamics.

12. Convexity.

13. The Duality Theorem.

14. Normed Linear Spaces.

15. Linear Mappings Between Normed Linear Spaces.

16. Positive Matrices.

17. How to Solve Systems of Linear Equations.

18. How to Calculate the Eigenvalues of Self-Adjoint Matrices.

19. Solutions.

Bibliography.

Appendix 1. Special Determinants.

Appendix 2. The Pfaffian.

Appendix 3. Symplectic Matrices.

Appendix 4. Tensor Product.

Appendix 5. Lattices.

Appendix 6. Fast Matrix Multiplication.

Appendix 7. Gershgorin's Theorem.

Appendix 8. The Multiplicity of Eigenvalues.

Appendix 9. The Fast Fourier Transform.

Appendix 10. The Spectral Radius.

Appendix 11. The Lorentz Group.

Appendix 12. Compactness of the Unit Ball.

Appendix 13. A Characterization of Commutators.

Appendix 14. Liapunov's Theorem.

Appendix 15. The Jordan Canonical Form.

Appendix 16. Numerical Range.

Index.

Linear Algebra and Its Applications

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    A Hardback by Peter D. Lax

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      View other formats and editions of Linear Algebra and Its Applications by Peter D. Lax

      Publisher: John Wiley & Sons Inc
      Publication Date: 05/10/2007
      ISBN13: 9780471751564, 978-0471751564
      ISBN10: 0471751561
      Also in:
      Mathematics Algebra

      Description

      Book Synopsis
      This set features

      Linear Algebra and Its Applications, Second Edition (978-0-471-75156-4)
      Linear Algebra and Its Applications, Second Edition presents linear algebra as the theory and practice of linear spaces and linear maps with a unique focus on the analytical aspects as well as the numerous applications of the subject. In addition to thorough coverage of linear equations, matrices, vector spaces, game theory, and numerical analysis, the Second Edition features student-friendly additions that enhance the book''s accessibility, including expanded topical coverage in the early chapters, additional exercises, and solutions to selected problems.

      Beginning chapters are devoted to the abstract structure of finite dimensional vector spaces, and subsequent chapters address convexity and the duality theorem as well as describe the basics of normed linear spaces and linear maps between normed spaces.

      Further updates and revisions have been i

      Trade Review
      "...an informative and useful book, distinguished by its blend of theory and applications, which fulfills its goals admirably." (MAA Review March 2008)

      Table of Contents
      Preface.

      Preface to the First Edition.

      1. Fundamentals.

      2. Duality.

      3. Linear Mappings.

      4. Matrices.

      5. Determinant and Trace.

      6. Spectral Theory.

      7. Euclidean Structure.

      8. Spectral Theory of Self-Adjoint Mappings.

      9. Calculus of Vector- and Matrix-Valued Functions.

      10. Matrix Inequalities.

      11. Kinematics and Dynamics.

      12. Convexity.

      13. The Duality Theorem.

      14. Normed Linear Spaces.

      15. Linear Mappings Between Normed Linear Spaces.

      16. Positive Matrices.

      17. How to Solve Systems of Linear Equations.

      18. How to Calculate the Eigenvalues of Self-Adjoint Matrices.

      19. Solutions.

      Bibliography.

      Appendix 1. Special Determinants.

      Appendix 2. The Pfaffian.

      Appendix 3. Symplectic Matrices.

      Appendix 4. Tensor Product.

      Appendix 5. Lattices.

      Appendix 6. Fast Matrix Multiplication.

      Appendix 7. Gershgorin's Theorem.

      Appendix 8. The Multiplicity of Eigenvalues.

      Appendix 9. The Fast Fourier Transform.

      Appendix 10. The Spectral Radius.

      Appendix 11. The Lorentz Group.

      Appendix 12. Compactness of the Unit Ball.

      Appendix 13. A Characterization of Commutators.

      Appendix 14. Liapunov's Theorem.

      Appendix 15. The Jordan Canonical Form.

      Appendix 16. Numerical Range.

      Index.

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