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About this book :-
Linear Algebra: Concepts and Methods (Solution) written by Martin Anthony, Michele Harvey . This solution text document contains solutions to all the Problems from the book ‘Linear Algebra: Concepts and Methods’. It is intended as an aid to those who use the text in support of teaching a course in linear algebra.
Book Detail :-
Title: Linear Algebra: Concepts and Methods (Solution)
Author(s): Martin Anthony, Michele Harvey
Publisher: Cambridge University Press
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About Author :- The author Martin Anthony is Professor of Mathematics at the London School of Economics (LSE), and Academic Coordinator for Mathematics on the University of London. International Programmes for which LSE has academic oversight. He has over 20 years’ experience of teaching students at all levels of university, and is the author of four books, including (with N. L. Biggs) the textbook Mathematics for Economics and Finance: Methods and Modelling (Cambridge University Press, 1996). The author Michele Harvey is lectures at the London School of Economics,where she has taught and developed the linear algebra part of the core foundation course in mathematics for over 20 years. She is also Chief Examiner for the Advanced Linear Algebra course on the University of London International Programmes and has co-authored with Martin Anthony the study guides for Advanced Linear Algebra and Linear Algebra on this programme.
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• Download PDF Linear Algebra: Concepts and Methods by Martin Anthony, Michele Harvey
• Download PDF Linear Algebra: Concepts and Methods (Solution) by Martin Anthony, Michele Harvey
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Book Contents :-
Linear Algebra: Concepts and Methods (Solution) written by Martin Anthony, Michele Harvey cover the following topics. '
Preliminaries: before we begin
Sets and set notation
A little bit of logic
1. Matrices and vectors
2. Systems of linear equations
3. Matrix inversion and determinants
4. Rank, range and linear equations
5. vector spaces
6. Linear independence, bases And dimension
7. Linear transformations and change of basis
9. Applications of diagonalisation
10. Inner products And orthogonality
11. Orthogonal diagonalisation and its applications
12. Direct sums And projections
13. Complex matrices and vector spaces
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