Alphabeta Math
ExampleConstruction: AI-generatedVerification: AI-generatedverified 2026-09-26 (gpt-6-sol)
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.

Smoothing a piecewise-linear real-valued function relative to a closed set

Example

Let f(x):=max⁡(x,0) on R, and let A:=(−∞,−1]. The function is piecewise linear and already smooth on a neighbourhood of the closed set A.

Facts & Assumptions

Given: The function f(x)=max⁡(x,0) and the closed set A=(−∞,−1].

Verification

technique · direct
1.1given

The function f is continuous on R and smooth on the open neighbourhood (−∞,−1/2) of A.

1.2givenconstruct

Let ε:R→(0,∞) be any continuous error function. By continuity at 0, choose 0<δ<min⁡{1/2,ε(0)/2} such that ε(x)>ε(0)/2 whenever ∣x∣≤δ.

2.1step 1.2construct

Let σ be the standard smooth step from The standard smooth step function and set f~(x)=xσ((x+δ)/(2δ)). This is smooth, equals 0=f(x) for x≤−δ, and equals x=f(x) for x≥δ. In particular it agrees with f on the open neighbourhood (−∞,−δ) of A.

3.1step 1.2step 2.1algebra∎

For ∣x∣≤δ, the bound 0≤σ≤1 gives ∣f~(x)−f(x)∣≤∣x∣≤δ<ε(0)/2<ε(x); outside this interval the error is 0<ε(x). Thus this explicit smoothing has the stated relative agreement and arbitrary positive continuous error control.

Depends on

Used by

Nothing in the library uses this result yet.

Dependency tree · two levels

2 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