Linear Algebra
eBook - PDF

Linear Algebra

Vector Spaces and Linear Transformations

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Linear Algebra

Vector Spaces and Linear Transformations

About this book

This textbook is directed towards students who are familiar with matrices and their use in solving systems of linear equations. The emphasis is on the algebra supporting the ideas that make linear algebra so important, both in theoretical and practical applications. The narrative is written to bring along students who may be new to the level of abstraction essential to a working understanding of linear algebra. The determinant is used throughout, placed in some historical perspective, and defined several different ways, including in the context of exterior algebras. The text details proof of the existence of a basis for an arbitrary vector space and addresses vector spaces over arbitrary fields. It develops LU-factorization, Jordan canonical form, and real and complex inner product spaces. It includes examples of inner product spaces of continuous complex functions on a real interval, as well as the background material that students may need in order to follow those discussions. Special classes of matrices make an entrance early in the text and subsequently appear throughout. The last chapter of the book introduces the classical groups.

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Yes, you can access Linear Algebra by Meighan I. Dillon in PDF and/or ePUB format, as well as other popular books in Mathematics & Mathematics General. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Title page
  3. Contents
  4. List of Figures
  5. Preface
  6. How To Use This Book
  7. Notation and Terminology
  8. To the Student
  9. Introduction
  10. Chapter 1. Vector Spaces
  11. Chapter 2. Linear Transformations and Subspaces
  12. Chapter 3. Matrices and Coordinates
  13. Chapter 4. Systems of Linear Equations
  14. Chapter 5. Introductions
  15. Chapter 6. The Determinant Is a Multilinear Mapping
  16. Chapter 7. Inner Product Spaces
  17. Chapter 8. The Life of a Linear Operator
  18. Chapter 9. Similarity
  19. Chapter 10. 𝐺𝐿_{𝑛}(𝔽) and Friends
  20. Appendix A. Background Review
  21. Appendix B. ℝ² and ℝ³
  22. Appendix C. More Set Theory
  23. Appendix D. Infinite Dimension
  24. Bibliography
  25. Index
  26. Back Cover