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.
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- 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.
SOLIT in the mean-zero 2D satellite-gradiometry model
Example
Assume Countable Choice.
For a relative satellite radius , identify the mean-zero real Fourier coefficients of a function on the unit circle with , where the two coordinates at frequency are its normalized cosine and sine coefficients, and give this space the canonical inner product . Interleaving with scalar coordinates and identifies it isometrically with real , so is a real Hilbert space. In these coordinates define the 2D satellite-gradiometry operator by
This is the Fourier-coordinate map for recovering the mean-zero gravitational potential from the radial second derivative measured at relative satellite radius . Take the truth to be the Fourier coefficient sequence of on . Its constant coefficient is zero, so the omitted zero-frequency component is not part of this mean-zero model. The per-frequency eigenvalue of is , each with multiplicity two. For the inverse sequence model, order the cosine–sine modes by nonincreasing multiplier , breaking ties by frequency and then placing cosine before sine; write the resulting ordered singular values as and their squares as . Such an ordering exists because and only finitely many modes exceed any positive threshold. Use the Tikhonov filter and its continuous geometric-variance candidate grid in the SOLIT rule with known .
Example references
Facts & Assumptions
Given: The real cosine–sine Fourier coefficient model on the circle, , the multiplier sequence , and the truth .
The Axiom of Countable Choice (): Countable Choice is assumed for the upstream Fourier and compact singular-system coordinates.
The trigonometric system is complete in of the torus: The complex characters form a complete orthonormal basis of on the circle; their real and imaginary parts give the real cosine–sine coefficient basis.
Ordered spectral filters, source indices, and variance grids: A candidate grid has geometric variance growth when its consecutive variance ratios lie in a fixed interval with .
Gaussian sequence inverse model: The positive-noise sequence experiment has observations in singular coordinates.
SOLIT parameter choice on a geometric-variance grid: SOLIT accepts a candidate only after its estimator differences from all finer candidates pass the two-index variance and Gaussian-quantile threshold.
Risk decomposition and monotone bias for ordered spectral filters: For each candidate, the regularized estimator is a measurable square-integrable Hilbert-valued random element.
Ordered spectral filters, source indices, and variance grids: An ordered filter is nonnegative, satisfies and , and increases pointwise as decreases.
The real square-summable sequence space is complete: Real with its canonical inner product is complete. The shift is an isometric bijection from to that space.
Verification
Interleaving as is a linear isometry onto real , so [F7] gives the stated real Hilbert structure. In angular coordinates with normalized Haar measure , write the characters as and use and for . Their orthonormality follows from character orthonormality in [F1]. They are complete in mean-zero real : a real mean-zero function orthogonal to all is orthogonal to every character, hence is zero by [F1]. Thus their coefficient map identifies this function space isometrically with . The bounded truth belongs to , and its integral over is , so its constant Fourier coefficient vanishes and its normalized real Fourier coefficient sequence lies in .
For every , and exponentially since . The ratio of consecutive squared multipliers is , which tends to ; choose strictly between and , then the ratio is at most for all sufficiently large . Thus . The operator is injective because all its diagonal multipliers are positive. Its truncation to frequencies is finite rank and the operator-norm error is , so is compact and Hilbert–Schmidt.
The frequency multipliers satisfy , which can exceed for small ; thus the frequency order is not always the singular-value order. The multiset of modes has a nonincreasing enumeration: at every stage a remaining maximum exists because and only finitely many modes lie above any fixed positive threshold, and the fixed tie rule selects one uniquely. Every mode is eventually listed because only finitely many modes have multiplier at least its positive multiplier. The operator is diagonal on the orthonormal cosine–sine basis, so the frequency eigenvalue is twice at each frequency, and the enumerated singular system has these values in nonincreasing order. Since , , an exponential spectrum with exponent .
For every , is nonnegative, , and . If , then , so . Thus it is an ordered filter with by [F6]. Its trace variance is
On every compact interval , each summand is continuous and is bounded above by . Since by step 1.2, the series converges uniformly there, so is continuous. Each summand strictly decreases as increases, hence so does . Also as . For every fixed , as ; because , these lower bounds imply . Fix any and . Continuity, strict decrease, and these endpoint limits give a unique with for every . Thus decreases to zero and the variances have the constant consecutive ratio . The resulting infinite grid meets [F2], and the SOLIT rule truncates it at its finite .
The truth lies in because it is bounded, and its Fourier coefficients are coordinates in the model by [F1]. The positive diagonal multipliers give the injective compact Hilbert–Schmidt operator verified in step 1.2; the Tikhonov filter satisfies [F6] and its candidates satisfy [F2], and the positive-noise experiment and finite selector are [F3]–[F4]. The well-definedness and moment properties of its estimators follow from [F5]. This example asserts no rate for the resulting estimator.
Finite checks
At frequencies , , , , and . The first two Tikhonov variance terms are and ; both are finite, positive, and continuous for .
Depends on
- SOLIT parameter choice on a geometric-variance grid
- Risk decomposition and monotone bias for ordered spectral filters
- Ordered spectral filters, source indices, and variance grids
- Gaussian sequence inverse model
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- The real square-summable sequence space is complete
- The trigonometric system is complete in $L^2$ of the torus
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
31 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
- Housen Li and Frank Werner, Adaptive minimax optimality in statistical inverse problems via SOLIT, §5.3.2 (standard reference, not scraped)
- Christian Clason, Regularization of Inverse Problems, complete lecture notes, Chapter 5 (standard reference, not scraped)