Basic Linear Technique

Abstract

In this chapter some linear and matrix methods are introduced that will simplify later work, particularly the linearization of the basic reduced model, a subject we take up in the next chapter. The notions of vec, mat_(m,n), I_(m,n), tensor products ⊗, and some relations between them are discussed. Next are the space of symmetric matrices, its natural inner product, and a useful projection lemma.