Alphabeta Math
ExampleConstruction: AI-generatedVerification: AI-generatedPipeline-generatedverified 2026-10-22 (gpt-6.1-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.

Severely ill-posed analytic q=2 detection rate

Example

Assume α,β>0, q=2, aj=eαj, and σj=eβj in the Gaussian sequence detection experiment. A minimax separation rate over Θ2(r) is rε∗≍εα/(α+β).

Facts & Assumptions

Given: α,β>0, q=2, aj=eαj, σj=eβj, and the finite-support extremal profile for sufficiently small r. For this rate comparison, Xε≍Yε means the ratio is bounded above and away from zero by constants independent of ε.

[F1]

q=2 Gaussian-sequence ellipsoid detection boundary: r2=AJ1/J2, uε2=(r/ε)4J0/(2J12), and the uε boundary determines minimax distinguishability.

Verification

1.1F1F2givenconstructalgebra

Let m be the largest active index and put t=Ae2αm∈[e−2α,1). For j=m−ℓ, the profile factor is ρℓ=1−te−2αℓ. For every ℓ≥1, 1−e−2α≤ρℓ≤1, while 0≤ρ0≤1. The sums for J1 and J0 are geometric in ℓ; their ℓ=1 terms give positive lower bounds and the full geometric sums give upper bounds, so J1≍J0≍e4βm. In J2, the summands are te−(2α+4β)ℓρℓe4βm; the ℓ=1 term is bounded below by a positive constant times e4βm, and the geometric series gives the matching upper bound. Thus J2≍e4βm. By [F1], r2≍A≍e−2αm,uε2≍ε−4r4e−4βm≍ε−4r4+4β/α.

2.1F1step 1.1givenalgebra∎

The last expression is comparable to (r/εα/(α+β))4+4β/α. Thus radii below the displayed scale by a factor tending to zero have uε→0, and radii above it by a factor tending to infinity have uε→∞ when rε→0. If rε does not tend to zero, reduce to rˉε=rεrε∗. Nonempty alternatives satisfy rε2≤a1−2 by the two q=2 constraints, so rˉε→0 and rˉε/rε∗→∞. The inclusion Θ2(rε)⊆Θ2(rˉε) transfers consistent tests to the original class. The risk implications in [F1] establish the separation rate.

Depends on

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