This is a book for the second course in linear algebra whereby students are assumed to be familiar with calculations using real matrices. To facilitate a smooth transition into rigorous proofs, it combines abstract theory with matrix calculations. This book presents numerous examples and proofs of particular cases of important results before the general versions are formulated and proved. The knowledge gained from a particular case, that encapsulates the main idea of a general theorem, can be easily extended to prove another particular case or a general case. For some theorems, there are two or even three proofs provided. In this way, students stand to gain and study important results from different angles and, at the same time, see connections between different results presented in the book. Request Inspection Copy Sample Chapter(s) Preface Chapter 1: Vector Spaces Contents: Preface Vector Spaces Linear Transformations Inner Product Spaces Reduction of Endomorphisms Appendices: Permutations Complex Numbers Polynomials Infinite Dimensional Inner Product Spaces Readership: Undergraduate students taking a second course in linear algebra.