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LemmaStatement: Literature-sourcedProof: AI-adaptedPipeline-generatedjudge pass (gpt-6-luna)
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The Hilbert-space Babuška–Nečas–Babuška criterion

Statement

Assume Countable Choice. Let X and Y be real Hilbert spaces and let b:X×Y→R be a bounded bilinear form. Suppose there is β>0 such that sup⁡∥y∥Y≤1∣b(x,y)∣≥β∥x∥X(x∈X), and the only y∈Y satisfying b(x,y)=0 for every x∈X is y=0. Then, for every bounded linear functional F:Y→R, there is a unique x∈X such that b(x,y)=F(y) for every y∈Y, and ∥x∥X≤β−1∥F∥Y∗,∥F∥Y∗:=sup⁡∥y∥Y≤1∣F(y)∣.

Facts & Assumptions

Given: Countable Choice, real Hilbert spaces X,Y, the bounded bilinear form b, its stated inf-sup bound, and the trivial right kernel.

[F1]

Every bounded real linear functional on a Hilbert space has a unique Riesz representative with the same norm (Riesz representation for Hilbert spaces).

[F2]

A closed linear subspace of a Hilbert space and its orthogonal complement give a direct decomposition of the whole space (Orthogonal decomposition by a closed subspace).

[F3]

A Hilbert space is complete in its norm (Hilbert space).

[A1]

Countable Choice is the hypothesis of the Riesz representation and orthogonal-decomposition suppliers (The Axiom of Countable Choice (ACω)).

Proof

1.1A1F1givenconstruct

If X={0}, the right-kernel hypothesis forces Y={0}; the only F∈Y∗ is zero and x=0 is the unique solution. If Y={0} and X≠{0}, the inf-sup hypothesis fails for any nonzero x, so no such instance satisfies the assumptions. Assume henceforth both spaces are nonzero. For each x∈X, the functional y↦b(x,y) is bounded and linear. By [F1], let Sx∈Y be the unique vector satisfying (Sx,y)Y=b(x,y) for every y∈Y. Bilinearity and uniqueness make S:X→Y linear, and the Riesz norm identity gives ∥Sx∥Y=sup⁡∥y∥Y≤1∣b(x,y)∣≤Cb∥x∥X, where Cb is a continuity bound for b.

2.1F3givenstep 1.1algebra

The inf-sup assumption gives ∥Sx∥Y≥β∥x∥X. Thus S is injective. If Sxn→y in Y, then ∥xn−xm∥X≤β−1∥Sxn−Sxm∥Y, so completeness of X gives xn→x for some x∈X. The bound in step 1.1 gives Sxn→Sx, hence y=Sx. Therefore S(X) is closed.

3.1A1F2step 2.1given

If y∈S(X)⊥, then (Sx,y)Y=b(x,y)=0 for every x∈X; the right-kernel hypothesis gives y=0. Apply [F2] to the closed subspace S(X). Its orthogonal complement is zero, so Y=S(X)⊕{0}=S(X); therefore S is onto.

4.1A1F1step 1.1step 2.1step 3.1algebra∎

For the given F∈Y∗, let g∈Y be its Riesz representative, so F(y)=(y,g)Y and ∥g∥Y=∥F∥Y∗. Surjectivity supplies x∈X with Sx=g, whence b(x,y)=(Sx,y)Y=(g,y)Y=(y,g)Y=F(y) for all y, using symmetry of the real inner product. The lower bound β∥x∥X≤∥Sx∥Y=∥F∥Y∗ proves the estimate and also uniqueness.

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