Applied Linear Algebra: The Decoupling Principle (Second Edition) Sadun, Lorenzo

Applied Linear Algebra: The Decoupling Principle (Second Edition) Sadun, Lorenzo 2011; 392 pp; Paperback; 180 × 240 mm; 978-0-8218-6887-4 For sale only in India,Pakistan,Nepal,Bhutan,Bangladesh,Sri Lanka,Maldives Series: Indian Editions of AMS Titles 755.00 Linear algebra permeates mathematics, as well as physics and engineering. In this text for junior and senior undergraduates, Sadun treats diagonalization as a central tool in solving complicated problems in these subjects by reducing coupled linear evolution problems to a sequence of simpler decoupled problems. This is the Decoupling Principle. Traditionally, difference equations, Markov chains, coupled oscillators, Fourier series, the wave equation, the Schrödinger equation, and Fourier transforms are treated separately, often in different courses. Here, they are treated as particular instances of the decoupling principle, and their solutions are remarkably similar. By understanding this general principle and the many applications given in the book, students will be able to recognize it and to apply it in many other settings. Sadun includes some topics relating to infinite-dimensional spaces. He does not present a general theory, but enough so as to apply the decoupling principle to the wave equation, leading to Fourier series and the Fourier transform. The second edition contains a series of Explorations. Most are numerical labs in which the reader is asked to use standard computer software to look deeper into the subject. Some explorations are theoretical, for instance, relating linear algebra to quantum mechanics. There is also an appendix reviewing basic matrix operations and another with solutions to a third of the exercises. Table of Contents Preface to second edition  Preface Chapter 1. The Decoupling Principle Chapter 2. Vector Spaces and Bases Chapter 3. Linear Transformations and Operators Chapter 4. An Introduction to Eigenvalues Chapter 5. Some Crucial Applications Chapter 6. Inner Products Chapter 7. Adjoints, Hermitian Operators, and Unitary Operators Chapter 8. The Wave Equation Chapter 9. Continuous Spectra and the Dirac Delta Function Chapter 10. Fourier Transforms Chapter 11. Green's Functions Appendix A. Matrix Operations Appendix B. Solutions to Selected Exercises Index About the Author Lorenzo Sadun, University of Texas, Austin, TX