Fundamental Theorems in Functional Analysis

Def: A seminorm or prenorm on a vector space X is real valued function p:X→R such that the following conditions are satisfies by all x,y∈X and α∈F.

Def: A function f:X→R≥0 is countably subadditive if f(∑xn)≤∑f(xn) for every convergent series ∑xn in X.

Zabreĭko's Lemma: Every countable subadditive seminorm on a Banach space is continuous.

Open Mapping Theorem: Every surjective bounded linear operator from a Banach space is an open mapping.

Cor: Every bijective bounded linear operator from a Banach space into a Banach space is an isomorphism.

Def: Two norms on the same vector space are equivalent if they induce the same topology.

Cor: Suppose ∥⋅∥1 and ∥⋅∥2 are two Banach norms on a vector space X and that the identity from (X,∥⋅∥1) to (X,∥⋅∥2) is continuous, then the two norms are equivalent.

Def: A family of F of linear operator from a normed space X into a normed space Y is said to be pointwise bounded if, for each element of x∈X, the set {Tx∣T∈F} is bounded, and is said to be uniformly bounded, if for each bounded set B⊆X, the set ⋃{T[B]∣T∈F} is bounded.

The Uniform Boundedness Principle: Let F⊆B(X,Y), where X is a Banach spaces and Y a normed space. If sup{∥Tx∥∣T∈F} is finite for each x∈X, then sup{∥T∥∣T∈F} is finite.

Cor: Let (Tn) be a sequence of bounded linear operators from a Banach space X into a normed space Y such that limTnX exists for each x∈X. Define T:X→Y by the formula Tx:=limTnx. Then T is a bounded linear operator from X into Y.

The Closed Graph Theorem: Let T be a linear operator from a Banach space X into a Banach space Y. Suppose that whenever a sequence (xn)n<ω in X converges to some x∈X and (Txn)n<ω converges to some y∈Y, it follows that Tx=y. Then T is bounded. Meaning that, if the set {(x,T(x))∣x∈X}⊆X×Y is a closed subset, then T is bounded.

Def: Let A be an absorbing subset of a vector space X. For each x∈X, let pA(x):=inf{t>0∣t>0∧x∈tA}. Then pA is the Minkowski functional or gauge functional of A.

Prop: