Lecture 9

Functions (Part II)


Limits of Sequences of functions When we talk about limits of functions, we have to be careful. We must define what we mean by
|| fn-f || -> 0
There are several obvious choices: Each of these preserves slightly different properties (and smoothness) of functions. They are called norms, and rely on an underlying notion of distance. Norms satisfy the following three properties
  1. || x || = 0 if and only if x = 0
  2. || k x || = |k| ||x||, for all real k
  3. || x + y || <= ||x|| + ||y|| for all x, y


Extensions of functions We can define a "function of a function" (more precisely, an operator). As an example consider the derivative,

D = d/dx
or the integral
f(x) dx

These are examples of linear operators.


Finite Dimensional Approximations - A very important application of convergence of sequences of functions. Suppose we want to solve L[u]=f, where u and f are functions, and L is linear. Suppose we can find a solution of different problem, L[un]=fn which is finite dimensional. Furthermore, suppose that fn -> f as n increases. Does un -> u, a solution of the original problem?

Examples - finite difference solutions, or fourier series, or finite elements, or ...


Problems - Moderately Hard Problem: Does the linear operator have the property that L[f] = k f, where k is real or complex? If so, it has an eigen-value and an eigen-function. In the case of D, f is an eigen function if f'(x) = k f(x). which clearly has solutions of the form f(x)=ekx

Unsolved Problem

Invariant Subspace Problem. Does a linear operator L have an invariant suspace A, that is, is L[f] in A for all f in A?.
In this problem, we ignore the trivial subpsaces of {0} and A itself.