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cover

Applied Linear Algebra

The Decoupling Principle

Lorenzo Sadun

₹ 1700

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Imprint

American Mathematical Society

Year of Publishing

2011

Number of pages

392

ISBN

9780821868874

Format

Paperback

Language

English

Dimensions

180 x 240 mm

Series

Indian Editions of AMS Titles

Territorial Rights

India,Nepal,Bhutan,Bangladesh,Sri Lanka,Maldives,Pakistan

  • the Book
  • the Author(s)
  • Table of Contents

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.

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Lorenzo Sadun, University of Texas, Austin, TX
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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
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