Alphabeta Math
LemmaStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-14
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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.

Uniformly bounded pointwise-convergent operators converge uniformly on compact sets

Statement

Let X,Y be normed spaces and let Tn:XY be bounded linear operators with M0:=supnTn<. If TnxTx for every xX, then T is bounded and TnT uniformly on every norm-compact subset of X.

Facts & Assumptions

[L1]

For a bounded linear operator, SxSx (The operator norm as the least bound and as the unit-sphere or unit-ball supremum).

[L2]

The maps Tn are bounded linear operators (A bounded linear operator between normed spaces).

Proof

technique · direct

Given: The objects and hypotheses in the Statement.

1.1

Passing to limits in the linear identities for [L2] shows that T is [given, L2, L1] linear. By [L1], Tx=limnTnxM0x, so T is bounded and TM0.

L1L2algebra
2.1

Put M:=M0+T. If M=0, every Tn and T is zero and the result [given, step 1.1] is immediate. Suppose M>0, fix compact C and ε>0, and choose a finite ε/(3M)-net x1,,xr in C.

step 1.1algebra
3.1

Pointwise convergence gives n0 such that (TnT)xj<ε/3 for all j and nn0. For xC choose j with xxj<ε/(3M). Then [L1] gives

givenL1step 2.1

(TnT)xMxxj+(TnT)xj<2ε/3<ε.

Thus convergence is uniform on C. [L1, step 2.1, finite maximum] ∎

Depends on

Used by

Dependency tree · two levels

6 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.

Sources