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About this book :-
Introduction to Linear Algebra written by
Lee W. Johnson, R. Dean Riess, Jimmy T. Arnold .
Linear algebra is an important component of undergraduate mathematics, particularly for students majoring in the scientific, engineering, and social science disciplines. At the practical level, matrix theory and the related vector-space concepts provide a language and a powerful computational framework for posing and solving important problems.
Beyond this, elementary linear algebra is a valuable introduction to mathematical abstraction and logical reasoning because the theoretical development is self-contained, consistent, and accessible to most students.
Therefore, this book stresses both practical computation and theoretical principles and centers on the principal topics of the first four chapters: matrix theory and systems of linear equations, elementary vector-space concepts, and the eigenvalue problem.
This core material can be used for a brief (10-week) course at the late-freshman/ sophomore level. There is enough additional material in Chapters 5–7 either for a more advanced or a more leisurely paced course.
This edition contains a new section covering elementary vector-space ideas, for example subspace, basis, and dimension, introduced in the familiar setting of R.
Book Detail :-
Title: Linear Algebra Done Right
Edition: Fifth Edition
Author(s): Lee W. Johnson, R. Dean Riess, Jimmy T. Arnold
Publisher: Pearson
Series:
Year: 2001
Pages: 545
Type: PDF
Language: English
ISBN: 0201658593,9780201658590
Country: US
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About Author :- The author Lee W. Johnson (born 1960) is an American mathematician and operations researcher, the G. Lawton and Louise G. Johnson Professor of Engineering at the University of Michigan. He is known for his research in nonlinear discrete optimization and combinatorial optimization.
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• Download PDF Introduction to Linear Algebra by Lee W. Johnson, R. Dean Riess, Jimmy T. Arnold
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Book Contents :-
Linear Algebra Done Right written by
Lee W. Johnson, R. Dean Riess, Jimmy T. Arnold
cover the following topics.
1. Matrices and Systems of Linear Equations
2. Vectors in 2-Space and 3-Space
3. The Vector Space Rn
4. The Eigenvalue Problem
5. Vector Spaces and Linear Transformations
6. Determinants
7. Eigenvalues and Applications
Answers to Selected Odd-Numbered Exercises AN1
Index
Note:-
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