Vectors are usually introduced with their geometric definition as directed line segments. Introduction of a coordinate system allows the concept of vector to be extended to a much broader class of objects called tensors, which are defined in terms of their transformation properties. As a tensor, vectors are now classified as first‐rank tensors. In images dimensions, a given vector can be written as the linear combination of images linearly independent basis vectors. Linear algebra is essentially the branch of mathematics that uses the concept of linear combination to extend the vector concept to a much broader class of objects. In this chapter, we discuss abstract vector spaces, which paves the way to many scientific and engineering applications of linear algebra.


We start with the basic definitions used throughout this chapter [13]. As usual, a collection of objects is called a set. The set of all real numbers is denoted by images and the set of all complex numbers by images. The set of all ‐tuples of real numbers,


is shown by . Similarly, the ...

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