Normed Spaces and Banach Spaces
1.1 Normed Spaces
Section titled “1.1 Normed Spaces”A normed space is a vector space over or together with a norm satisfying:
- (positive definiteness).
- for all scalars (homogeneity).
- (triangle inequality).
A norm induces a metric , making a metric space.
Example 1. with .
Example 2. with . This norm is weaker: convergence in does not imply pointwise convergence.
Example 3. with for .
Example 4. with .
1.2 Banach Spaces
Section titled “1.2 Banach Spaces”A Banach space is a complete normed space (every Cauchy sequence converges).
Theorem 1.1. is a Banach space for .
Theorem 1.2. is a Banach space for .
Theorem 1.3. is a Banach space, but is not (it is not complete: the limit of continuous functions in -norm may be discontinuous).
1.3 Finite-Dimensional Normed Spaces
Section titled “1.3 Finite-Dimensional Normed Spaces”Theorem 1.4. All norms on a finite-dimensional vector space are equivalent.
Corollary 1.5. Every finite-dimensional normed space is a Banach space.
Theorem 1.6 (Riesz’s Lemma). Let be a normed space and a proper closed subspace. For every , there exists with and .
Corollary 1.7. The closed unit ball of a normed space is compact if and only if the space is finite-dimensional.
1.4 Quotient Spaces
Section titled “1.4 Quotient Spaces”Let be a normed space and a closed subspace. The quotient space consists of equivalence classes with the quotient norm:
Theorem 1.8. If is a Banach space and is a closed subspace, then is a Banach space.
Proposition 1.9. The quotient map , , is a bounded linear operator with .
1.5 Dual Spaces
Section titled “1.5 Dual Spaces”The dual space of a normed space is the space of all bounded linear functionals , equipped with the operator norm:
Theorem 1.10. The dual space is always a Banach space, regardless of whether is complete.
Examples of dual spaces:
- where for .
- , where is the space of sequences converging to .
- for and .
1.6 The Completion of a Normed Space
Section titled “1.6 The Completion of a Normed Space”Theorem 1.11. Every normed space has a completion: a Banach space and an isometric embedding with dense image. The completion is unique up to isometric isomorphism.
Proof sketch. Take the set of Cauchy sequences in , modulo the equivalence relation if . Define as this set with the norm . The map is an isometric embedding.
Example. The completion of is .
1.7 Infinite-Dimensional Normed Spaces
Section titled “1.7 Infinite-Dimensional Normed Spaces”Infinite-dimensional normed spaces have properties that contrast sharply with finite-dimensional ones:
- The closed unit ball is not compact (Riesz’s lemma).
- There exist discontinuous linear operators (requires the axiom of choice).
- Not every linear subspace is closed.
- The weak topology differs from the norm topology.
1.8 Hölder and Minkowski Inequalities
Section titled “1.8 Hölder and Minkowski Inequalities”Theorem 1.12 (Hölder’s Inequality). For with :
Theorem 1.13 (Minkowski’s Inequality). For :
These inequalities prove that and are normed spaces.
1.9 Practice Problems
Section titled “1.9 Practice Problems”Problem 1. Show that with is not complete.
Solution. Consider . This is a Cauchy sequence in but converges to the discontinuous step function.
Problem 2. Prove that for .
Problem 3. Show that for .
Problem 4. Prove that the dual of is .
1.10 Weak Topologies
Section titled “1.10 Weak Topologies”A normed space carries the weak topology , the coarsest topology making all continuous. A sequence converges weakly () if for every .
The dual space carries the weak- topology* , the coarsest topology making all evaluation maps continuous.
Theorem 1.14 (Banach-Alaoglu). The closed unit ball of is compact in the weak-* topology.
1.11 Separable Normed Spaces
Section titled “1.11 Separable Normed Spaces”A normed space is separable if it contains a countable dense subset.
Examples: is separable for . is not separable. is separable (polynomials with rational coefficients are dense).
Theorem 1.15. If is separable, then is separable. The converse does not hold: is separable but is not.
1.12 Reflexive Spaces
Section titled “1.12 Reflexive Spaces”A Banach space is reflexive if the natural embedding defined by is surjective.
Examples: is reflexive for . and are not reflexive. Every finite-dimensional space is reflexive.
Theorem 1.16. A Banach space is reflexive if and only if its closed unit ball is weakly compact.
Problem 5. Show that (sequences converging to 0 with sup norm) is not reflexive.
Problem 6. Prove that for is reflexive using the fact that via the natural embedding.