Definition (Operator norm)
For some linear map A∈L(Rn;Rm), the expression ∥A∥Rn,Rm=sup{∥A(x)∥Rm∣∥x∥Rn=1}or for a linear functional f ∥f∥=x:∥x∥=0sup∥x∥∣f(x)∣ is the operator norm of A.
Definition (Bounded in operator norm)
Let X be a normed vector space. We say f∈Γ(X;R) is bounded (in the operator norm) if ∃M>0 such that ∣f(x)∣≤M∥x∥∀x∈X
Theorem (Principle of uniform boundedness (Banach-Steinhaus))
Let (X,∥⋅∥X),(Y,∥⋅∥Y) be Banach spaces. Let (ϕα)α∈Λ be a family of continuous linear mappings s.t. ϕα:X→Y. Assume ∀x∈X:supα∈Λ∥ϕα(x)∥Y<∞. Then α∈Λsup∥ϕα∥op<∞where ∥ϕα∥op=∥x∥X≤1sup∥ϕα(x)∥Y