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 Sobolev q=2 detection rate
Example
Assume , , , and in the Gaussian sequence detection experiment. A minimax separation rate over is
Example references
Facts & Assumptions
Given: , , , , and the finite-support extremal profile for sufficiently small . For this rate comparison, means the ratio is bounded above and away from zero by constants independent of .
q=2 Gaussian-sequence ellipsoid detection boundary: , , and or gives the two minimax risk regimes.
Existence of a finite q=2 ellipsoid extremal profile for small radius and The q=2 ellipsoid extremal profile minimizes the fourth-power objective: the active cutoff satisfies .
Verification
Let be the largest active index, so , and write . For , the mean-value theorem applied to on gives For , the profile factor is at most one. Summing against , the near terms are bounded by the convergent sums and , and the far tail is exponentially smaller than . The term supplies matching lower bounds. Thus For , its extra factor is at most one and is bounded below by a positive constant at . Consequently [F1] gives and .
The cutoff relation implies . For , if , then , so the expression in step 1.1 tends to zero. If the ratio tends to infinity while , then and , because . If does not tend to zero, reduce to . Nonempty alternatives satisfy by the two q=2 constraints, so and . The inclusion transfers consistent tests to the original class. By [F1], these limits prove the displayed rate.
Depends on
Used by
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Dependency tree · two levels
10 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
- Yuri I. Ingster, Theofanis Sapatinas and Irina A. Suslina, Minimax signal detection in ill-posed inverse problems, Theorem 4.4 and equation (4.5), PDF pp. 13–14 (standard reference, not scraped)
- Evarist Giné and Richard Nickl, Mathematical Foundations of Infinite-Dimensional Statistical Models, §6.2.3 (standard reference, not scraped)