Chapter III
Compact linear mappings and perturbations
In this chapter, all the vector spaces considered are vector spaces over a field K equal to or . The references to EVT, II made in this book concern in general the case where ; for the case where , cf. EVT, II, p. 64 to 68.
A semi-normed space is called a vector space E endowed with a semi-norm and the topology defined by cf. EVT, II, p. 2). The unit ball of E, or of , is called the set of elements of E such that .
For every vector space E, denotes the identity mapping of E. If E, F and G are vector spaces and are linear mappings, one sometimes denotes by the linear mapping from E into G.
Let E and F be topological vector spaces. A continuous linear mapping from E into F will also be called a morphism and an endomorphism when F = E. A bijective linear mapping from E into F which is continuous as well as its inverse will be called an isomorphism and, when F = E, an automorphism. When E and F are semi-normed spaces, the notions of endomorphism, isomorphism and automorphism refer to the underlying topological vector space structure.
Given topological vector spaces E and F, denotes the vector space of continuous linear mappings of finite rank from E into F. One also denotes by the vector space .
Recall that a continuous linear mapping from E into F is strict if it induces by passing to the quotient an isomorphism of Ker() into (TG, III, p. 16, déf. 1); it is equivalent to saying that the image of every neighbourhood of 0 in E is a neighbourhood of 0 in (TG, III, p. 16, prop. 24).