Alphabeta Math
LemmaStatement: AI-adaptedProof: AI-adaptedPipeline-generatedjudge pass (gpt-5.6-terra)audited 2026-09-22
How statement and proof provenance work

The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.

  • Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
  • AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
  • AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.

These labels describe origin, not correctness: citations and verification chips remain separate evidence.

The inner product is jointly continuous

Statement

Let V be a real or complex inner-product space with induced norm ∥⋅∥. The pairing (x,y)↦⟨x,y⟩ is continuous on V×V for the product of the induced norm topologies. Quantitatively, for all x,x′,y,y′∈V,

∣⟨x,y⟩−⟨x′,y′⟩∣≤∥x−x′∥ ∥y∥+∥x′∥ ∥y−y′∥,

and consequently xn→x and yn→y in norm imply ⟨xn,yn⟩→⟨x,y⟩.

Facts & Assumptions

[A1]

The pairing is linear in the first argument and conjugate-linear in the second (Real and complex inner-product spaces and their induced length).

[A2]

Cauchy–Schwarz gives ∣⟨u,v⟩∣≤∥u∥ ∥v∥ (Cauchy–Schwarz: ∣⟨x,y⟩∣≤∥x∥ ∥y∥, with equality exactly for dependent pairs).

[A3]

The induced length is a norm, so it is nonnegative, homogeneous and satisfies the triangle inequality (The induced length is a norm).

[A4]

In the metric topology a set is open exactly when every one of its points has a ball around it inside the set, B(x,r)={y:d(x,y)<r} is the open ball, and every open ball is open (The metric topology: a set is open when every one of its points has a ball around it inside the set; closed means open complement, Open ball, closed ball and sphere in a metric space, Arbitrary unions and finite intersections of open sets are open, open balls are open and closed balls are closed).

[A6]

Convergence in a metric space means that the distances to the limit tend to zero (Convergence of a sequence in a metric space: xk→x iff d(xk,x)→0 in R).

Proof

technique · direct

Given: A real or complex inner-product space V, vectors x,x′,y,y′∈V and a point of continuity (x′,y′) of V×V.

1.1A1A2algebra

Inserting and subtracting the mixed pairing gives ⟨x,y⟩−⟨x′,y′⟩=⟨x−x′,y⟩+⟨x′,y−y′⟩, so Cauchy–Schwarz applied to the two summands and the triangle inequality for scalars give ∣⟨x,y⟩−⟨x′,y′⟩∣≤∥x−x′∥ ∥y∥+∥x′∥ ∥y−y′∥.

2.1step 1.1A3algebra

Given ε>0, put δ=min⁡{1, ε/(1+∥x′∥+∥y′∥)}>0; if ∥x−x′∥<δ and ∥y−y′∥<δ, then ∥y∥≤∥y′∥+δ<1+∥y′∥ by the triangle inequality, so step 1.1 gives ∣⟨x,y⟩−⟨x′,y′⟩∣<δ(1+∥x′∥+∥y′∥)≤ε.

3.1step 2.1A4A5A6∎

The product B(x′,δ)×B(y′,δ) is a basic product-open set containing (x′,y′), and step 2.1 shows that on it the pairing stays within every ball about ⟨x′,y′⟩, so the pairing is continuous at every point of V×V; if moreover xn→x and yn→y, then for every ε>0 the pair (xn,yn) eventually lies in the corresponding δ-box, whence ∣⟨xn,yn⟩−⟨x,y⟩∣<ε and ⟨xn,yn⟩→⟨x,y⟩.

Depends on

Dependency tree · 2 levels

Sources