Basic Linear Algebra

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Basic Linear Algebra is a text for first year students leading from concrete examples to abstract theorems, via tutorial-type exercises. More exercises (of the kind a student may expect in examination papers) are grouped at the end of each section. The book covers the most important basics of any first course on linear algebra, explaining the algebra of matrices with applications to analytic geometry, systems of linear equations, difference equations and complex numbers. Linear equations are treated via Hermite normal forms which provides a successful and concrete explanation of the notion of linear independence. Another important highlight is the connection between linear mappings and matrices leading to the change of basis theorem which opens the door to the notion of similarity. This new and revised edition features additional exercises and coverage of Cramer's rule (omitted from the first edition). However, it is the new, extra chapter on computer assistance that will be of particular interest to readers: this will take the form of a tutorial on the use of the "LinearAlgebra" package in MAPLE 7 and will deal with all the aspects of linear algebra developed within the book.

Author(s): Thomas S. Blyth, Edmund F. Robertson
Series: Springer Undergraduate Mathematics Series
Edition: 2
Publisher: Springer
Year: 2002

Language: English
Pages: 232
Tags: Algebra; Linear and Multilinear Algebras, Matrix Theory

Front Matter....Pages i-xi
The Algebra of Matrices....Pages 1-16
Some Applications of Matrices....Pages 17-26
Systems of Linear Equations....Pages 27-58
Invertible Matrices....Pages 59-68
Vector Spaces....Pages 69-94
Linear Mappings....Pages 95-112
The Matrix Connection....Pages 113-128
Determinants....Pages 129-152
Eigenvalues and Eigenvectors....Pages 153-174
The Minimum Polynomial....Pages 175-182
Computer Assistance....Pages 183-204
Solutions to the Exercises....Pages 205-230
Back Matter....Pages 231-232