ABSTRACT
The distance between a vector and the zero vector is a measure of the length of the vector. This generalized notion, which plays a central role in the whole of analysis, is called a norm. We begin this chapter with the definition of a norm of a vector and then extend it to a matrix. Then we will drive some estimates on the eigenvalues of a given matrix. Some very useful convergence results are also proved.
