Alphabeta Math
CounterexampleConstruction: AI-adaptedVerification: AI-adaptedPipeline-generatedjudge pass (gpt-5.6-terra)audited 2026-09-13
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.

Pointwise convergent functions need not converge as distributions without local control

Statement refuted

Pointwise convergence of smooth functions forces convergence of their regular distributions to the regular distribution of the pointwise limit. Assume Countable Choice for Lebesgue integration. Let ρ0 be a smooth unit-mass bump supported in (1/2,1/2), set f0=0, and set fj(x)=jρ(jx2) for integers j1. Then fj(x)0 for every xR, but ufjδ0 weakly, so ufj↛0.

Facts & Assumptions

[F1]

Under Countable Choice, locally integrable functions, hence smooth functions, define regular distributions; Dirac acts by evaluation (Regular distribution from a locally integrable function, Locally integrable functions embed in distributions, Dirac delta and its derivatives).

[F2]

Compact nonnegative smooth bumps exist and may be rescaled and normalized to unit mass (Test function cutoffs and euclidean localization, The mollifier family generated by a unit-mass smooth bump).

Proof

Given: the fixed bump and its stated rescalings.

1.1

F2 supplies the bump by taking a nonzero nonnegative test with the required support and dividing by its positive finite integral. For j1, the support of fj lies in (3/(2j),5/(2j)). Thus fj(x)=0 for every jN when x0, and for each fixed x>0 it is zero once j>5/(2x). In particular the pointwise limit is zero even at the origin. Each fj, including f0, is smooth and compactly supported, so F1 applies.

givenF1F2
2.1

For every test φ and every j1, the substitution t=jx2 from F3 gives ufj(φ)=ρ(t)φ((t+2)/j)dt. Since t+25/2 on the bump support, [step 1.1, F1, F3] ufj(φ)φ(0)sups5/(2j)φ(s)φ(0)0. Here positivity and unit mass give the inequality, and continuity at zero gives the limit. Thus the weak limit is δ0. Choose a cutoff test equal to one near zero by F2; its pairings are eventually one, whereas the zero regular distribution pairs to zero. This is the failed conclusion for the explicit witness sequence. Its mass is one for every j, concentrated in a shrinking interval; pointwise convergence alone does not control these pairings.

step 1.1F1F2F3

Depends on

Used by

Nothing in the library uses this result yet.

Dependency tree · two levels

41 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