Linear Algebra: Gateway to Mathematics
eBook - PDF

Linear Algebra: Gateway to Mathematics

Second Edition

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

Linear Algebra: Gateway to Mathematics

Second Edition

Book details
Table of contents
Citations

About This Book

Linear Algebra: Gateway to Mathematics uses linear algebra as a vehicle to introduce students to the inner workings of mathematics. The structures and techniques of mathematics in turn provide an accessible framework to illustrate the powerful and beautiful results about vector spaces and linear transformations.The unifying concepts of linear algebra reveal the analogies among three primary examples: Euclidean spaces, function spaces, and collections of matrices. Students are gently introduced to abstractions of higher mathematics through discussions of the logical structure of proofs, the need to translate terminology into notation, and efficient ways to discover and present proofs. Application of linear algebra and concrete examples tie the abstract concepts to familiar objects from algebra, geometry, calculus, and everyday life.Students will finish a course using this text with an understanding of the basic results of linear algebra and an appreciation of the beauty and utility of mathematics. They will also be fortified with a degree of mathematical maturity required for subsequent courses in abstract algebra, real analysis, and elementary topology. Students who have prior background in dealing with the mechanical operations of vectors and matrices will benefit from seeing this material placed in a more general context.

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Yes, you can access Linear Algebra: Gateway to Mathematics by Robert Messer 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.

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Table of contents

  1. Cover
  2. Title page
  3. Copyright
  4. Contents
  5. Preface
  6. Chapter 1. Vector Spaces
  7. Chapter 2. Systems of Linear Equations
  8. Chapter 3. Dimension Theory
  9. Chapter 4. Inner Product Spaces
  10. Chapter 5. Matrices
  11. Chapter 6. Linearity
  12. Chapter 7. Determinants
  13. Chapter 8. Eigenvalues and Eigenvectors
  14. Hints and Answers to Selected Exercises
  15. Index
  16. Back Cover