1st Edition

Linear Algebra What you Need to Know

By Hugo J. Woerdeman Copyright 2021
282 Pages 29 B/W Illustrations
by Chapman & Hall

282 Pages 29 B/W Illustrations
by Chapman & Hall

282 Pages 29 B/W Illustrations
by Chapman & Hall

There is good reason to be excited about Linear Algebra. With the world becoming increasingly digital, Linear Algebra is gaining more and more importance. When we send texts, share video, do internet searches, there are Linear Algebra algorithms in the background that make it work. This concise introduction to Linear Algebra is authored by a leading researcher presents a book that covers all... Read more

Preface to the Instructor
Preface to the Student
Acknowledgements
Notation

1.Matrices and Vectors. 1.1 Matrices and Linear Systems. 1.2 Row Reduction: Three Elementary Row Operations. 1.3 Vectors in Rn, Linear Combinations and Span. 1.4 Matrix Vector Product and the Equation Ax=b. 1.5 How to Check Your Work. 1.6 Exercises.

2.Subspaces in Rn, Basis and Dimension. 2.1 Subspaces in Rn. 2.2 Column Spaces, Row Spaces and Null Space of a Matrix. 2.3 Linear Independence. 2.4 Basis. 2.5 Coordinate Systems. 2.6 Exercises.

3.Matrix Algebra. 3.1 Matrix Addition and Multiplication. Transpose. Inverse.  Elementary  Matrices. Block Matrices. Lower and Upper Triangular Matrices and LU Factorization 3.7 Exercises 

4.Determinants. Definition of the Determinant and Properties. Alternative Definition and Proofs of Properties. Cramer’s rule. Determinants and Volumes. Exercises 

5.Vector spaces. Definition of a Vector Space. Main Examples. Linear Independence,  Span, and Basis. Coordinate Systems. Exercises.

6.Linear Transformations. Definition of a Linear Transformation. Range and Kernel of Linear Transformations. Matrix Representations of Linear Maps. Change of Basis. Exercises.

7.Eigenvectors and Eigenvalues. Eigenvectors and Eigenvalues. Similarity and Diagonalizability. Complex eigenvalues. Exercises.

8.Orthogonality. Dot Product and the Euclidean Norm. Orthogonality and Distance to Subspaces. Orthonormal Bases and Gram-Schmidt.  Unitary Matrices and QR Factorization. Least Squares Solution and Curve Fitting. Real Symmetric and Hermitian Matrices.
 
Appendix.A1.1 Some Thoughts on Writing Proofs. A1.2 Mathematical Examples. A 1.3 Truth Tables. A1.4 Quantifiers and Negation of Statements. A1.5 Proof by Induction. A1.6 Some Final Thoughts. A.2 Complex numbers. A.3 The Field Axioms.

Biography

Hugo J. Woerdeman, PhD, professor, Department of Mathematics, Drexel University, Philadelphia, Pennsylvania, USA, is also the author of Advanced Linear Algebra, published by CRC Press, and a co-author of Matrix Completions, Moments, and Sums of Squares, published by Princeton University Press. He also serves as Vice President of two societies of researchers: The International Linear Algebra Society and The International Workshop on Operator Theory and its Applications.