Linear algebra refers to the study of lines, sub-spaces, planes and understanding the characteristics of vector spaces. It includes learning and analysing linear mapping. Linear algebra is also important in understanding differential equations, abstract algebra, functional analysis, etc. It has applications in fourier series expansion, linear systems, quantum mechanics, etc. This book presents the complex subject of linear algebra in the most comprehensible and easy to understand language. For someone with an interest and eye for detail, this text covers the most significant topics in the field of linear algebra. The textbook is appropriate for those seeking detailed information in this area.Linear algebra refers to the study of lines, sub-spaces, planes and understanding the characteristics of vector spaces. It includes learning and analysing linear mapping. Linear algebra is also important in understanding differential equations, abstract algebra, functional analysis, etc. It has applications in fourier series expansion, linear systems, quantum mechanics, etc. This book presents the complex subject of linear algebra in the most comprehensible and easy to understand language. For someone with an interest and eye for detail, this text covers the most significant topics in the field of linear algebra. The textbook is appropriate for those seeking detailed information in this area.Linear algebra refers to the study of lines, sub-spaces, planes and understanding the characteristics of vector spaces. It includes learning and analysing linear mapping. Linear algebra is also important in understanding differential equations, abstract algebra, functional analysis, etc. It has applications in fourier series expansion, linear systems, quantum mechanics, etc. This book presents the complex subject of linear algebra in the most comprehensible and easy to understand language. For someone with an interest and eye for detail, this text covers the most significant topics in the fil3b