Metric and Hilbert Spaces
Arun Ram
Department of Mathematics and Statistics
University of Melbourne
Parkville, VIC 3010 Australia
aram@unimelb.edu.au
Last updated: 4 November 2014
Lecture 43: Kinds of spaces and Cauchy-Schwarz review
Topics
(1) |
Topological spaces, uniform spaces, metric spaces, normed vector spaces, inner product spaces.
|
(1.5) |
Examples of spaces: Subspaces and product spaces and
and function spaces.
|
(2) |
Functions, Relations, Posets, Sets, functions, cardinality.
|
(3) |
Linear algebra – Vector spaces, bases, Linear transformations. Inner products, eigenvalues and eigenvectors.
|
(4) |
Convergence: Sequences and series, Hausdorff and compactness.
|
(5) |
Gram-Schmidt and determinants.
|
Modules of affine Lie algebras
(1) |
Category
|
(2) |
Finite dimensional
|
(3) |
Wakimoto modules
|
(4) |
Extremal weight modules
|
(5) |
Smooth modules
|
(6) |
Admissible representations
|
(7) |
Weyl modules
|
Screaming operators are
intertwiners
Let be or and let
be complex conjugation.
An inner product space is a vector space over with a function
such that
(a) |
If then
|
(b) |
If then
|
(c) |
If and then
|
(d) |
If then
|
(e) |
If and
then
|
(5.1) Let be an inner product space.
(a) |
If then
|
(b) |
If then
|
Let be an inner product space. Define
by
Show that with the function
is a normed vector space.
|
|
Proof. |
|
(a) |
Let
Case 1: Then
Case 2: Let
Let Then
Let (using property (e)) so that
Since
(because multiplying each side by gives
So
|
(b) |
By (a):
so that
So
|
|
HW: Prove the Cauchy-Schwartz and triangle inequalities for the norms
and with
and
HW: Prove the Cauchy-Schwarz and triangle inequalities for the norms
and
HW: What is Lagrange's identity?
Notes and References
These are a typed copy of Lecture 43 from a series of handwritten lecture notes for the class Metric and Hilbert Spaces given on October 13, 2014.
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