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Pure and Applied Mathematics: A WileyInterscience Series of #78: Linear Algebra and Its Applicationsby Peter D. Lax
Synopses & ReviewsPublisher Comments:Praise for the First Edition
". . .recommended for the teacher and researcher as well as for graduate students. In fact, [it] has a place on every mathematician's bookshelf." —American Mathematical Monthly 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 studentfriendly 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 included to reflect the most uptodate coverage of the topic, including:
Additionally, eight new appendices have been added and cover topics such as: the Fast Fourier Transform; the spectral radius theorem; the Lorentz group; the compactness criterion for finite dimensionality; the characterization of commentators; proof of Liapunov's stability criterion; the construction of the Jordan Canonical form of matrices; and Carl Pearcy's elegant proof of Halmos' conjecture about the numerical range of matrices. Clear, concise, and superbly organized, Linear Algebra and Its Applications, Second Edition serves as an excellent text for advanced undergraduate and graduatelevel courses in linear algebra. Its comprehensive treatment of the subject also makes it an ideal reference or selfstudy for industry professionals. Book News Annotation:This book was written by Lax (emeritus, mathematics, New York U.) to serve as a text for a secondary senior undergraduate course on linear algebra. In pursuit of this goal, terse descriptions of the first edition have been expanded and more problems have been added. New topics have also been added including the compactness of the unit ball as a criterion of finite dimensionality of a normed linear space, the QR algorithm for finding the eigenvalues of a selfadjoint matrix, the Householder algorithm for turning such matrices into tridiagonal form, and the analogy between the convergence of the QR algorithm and Moser's theorem on the asymptotic behavior of the Toda flow as time tends to infinity. Chapters discuss duality, linear mappings, matrices, determinant and trace, spectral theory, Euclidean structure, calculus of vector and matrixvalued functions, matrix inequalities, kinematics and dynamics, convexity, the duality theorem, normed liner spaces, linear mappings between normed linear spaces, positive matrices, and solutions of systems of linear equations. Annotation ©2008 Book News, Inc., Portland, OR (booknews.com)
Synopsis:This introduction to linear algebra by worldrenowned mathematician Peter Lax is unique in its emphasis on the analytical aspects of the subject as well as its numerous applications. The book grew out of Dr. Lax's course notes for the linear algebra classes he taught at New York University. Geared to graduate students as well as advanced undergraduates, it assumes only limited knowledge of linear algebra and avoids subjects already heavily treated in other textbooks. While it discusses linear equations, matrices, determinants, and vector spaces, it also includes a number of exciting topics, such as eigenvalues, the HahnBanach theorem, geometry, game theory, and numerical analysis.
About the AuthorPeter D. Lax, PhD, is Professor Emeritus of Mathematics at the Courant Institute of Mathematical Sciences at New York University. Dr. Lax is the recipient of the Abel Prize for 2005 "for his groundbreaking contributions to the theory and application of partial differential equations and to the computation of their solutions". * A student and then colleague of Richard Courant, Fritz John, and K. O. Friedrichs, he is considered one of the world's leading mathematicians. He has had a long and distinguished career in pure and applied mathematics, and with over fifty years of experience in the field, he has made significant contributions to various areas of research, including integratable systems, fluid dynamics, and solitonic physics, as well as mathematical and scientific computing.
Table of ContentsPreface.
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 SelfAdjoint Mappings. 9. Calculus of Vector and MatrixValued 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 SelfAdjoint 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. What Our Readers Are SayingBe the first to add a comment for a chance to win!Product Details
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