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✓ 4 results · all verified · 4 also independently AI-judged
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Deterministic source classes and optimal recovery

1 · Prerequisites

2 · Logical flowchart

3 · Definitions, theorems and proofs

DefinitionDefinition: AI-adaptedProof: Not applicablejudge pass (gpt-6-luna)verified 2026-10-22 (gpt-6.1-sol)Open item page →

Spectral-index source balls for compact operators

Definition

Assume Countable Choice. Let X and Y be real or complex Hilbert spaces over the same scalar field and let K:X→Y be compact. Write κ:=∥K∥, S:=K∗K, and ∣K∣:=S1/2, and let ΛK be zero together with the positive eigenvalues of ∣K∣. An admissible spectral index is a bounded function ψ:ΛK→[0,∞) with ψ(0)=0. Define ψ(∣K∣) by the compact spectral multiplier of S with scalar function t↦ψ(t). For ρ>0 define Xψ,ρ(K):={ψ(∣K∣)w:w∈X, ∥w∥X≤ρ}. For ν>0, ψν(t)=tν defines the power source ball Xν,ρ(K). If κ>0 and q>0, define the logarithmic spectral-index candidate by ψlog⁡,q(0)=0 and ψlog⁡,q(t)=(1+log⁡(κ/t))−q for positive t∈ΛK; when it is bounded, it defines Xlog⁡,q,ρ(K).

DefinitionDefinition: AI-adaptedProof: Not applicablejudge pass (gpt-6-luna)verified 2026-10-22 (gpt-6.1-sol)Open item page →

Centered conditional modulus of continuity

Definition

For a compact operator K:X→Y between real or complex Hilbert spaces over the same scalar field, write N(K):={x∈X:Kx=0}. For a set M with 0∈M⊆N(K)⊥ and δ≥0, define εK(M,δ):=sup⁡{∥x∥X:x∈M, ∥Kx∥Y≤δ}∈[0,+∞].

LemmaStatement: AI-adaptedProof: AI-generatedprecheck passjudge pass (gpt-6-luna)verified 2026-10-22 (gpt-6.1-sol)Open item page →

Index source elements are minimum-norm solutions

Statement

Assume Countable Choice. Let K:X→Y be compact between real or complex Hilbert spaces over the same scalar field, let ψ be a bounded nonnegative spectral index with ψ(0)=0, and let x=ψ(∣K∣)w for some w∈X. Then x∈N(K)⊥; consequently, among all z∈X satisfying Kz=Kx, x is the unique vector of minimum norm.

Facts & Assumptions

Given: Countable Choice, compact K:X→Y between real or complex Hilbert spaces, an admissible index function ψ with ψ(0)=0, and x=ψ(∣K∣)w.

[A1]

The Axiom of Countable Choice (ACω): Countable Choice is assumed by the compact singular-value decomposition supplier.

[F1]

Singular value decomposition for compact operators: A compact operator has orthonormal right singular vectors spanning N(K)⊥, with ∣K∣vj=sjvj for each positive singular value sj, and X=N(K)⊥⊕N(K).

[F2]

Spectral-index source balls for compact operators and Compact spectral filters, source conditions, and qualification: A bounded spectral index acts by ψ(sj) on each right singular vector and by ψ(0)=0 on the kernel.

[F3]

Hilbert space, Real and complex inner-product spaces and their induced length, and Orthogonality and the orthogonal complement: The Hilbert norm is induced by the inner product; if x⊥n, then ∥x+n∥2=∥x∥2+∥n∥2.

Proof

1.1givenA1F1F2construct

By [F1], write w=w0+∑jwjvj in norm, with w0∈N(K) and the vj an orthonormal basis of N(K)⊥. The compact spectral multiplier in [F2] gives x=ψ(∣K∣)w=ψ(0)w0+∑jψ(sj)wjvj=∑jψ(sj)wjvj. This norm-convergent sum is a limit of finite linear combinations of the vj, so [F1] places x in their closed span N(K)⊥; if the positive singular set is empty, the sum and closed span are both zero. Thus x⊥N(K).

2.1givenstep 1.1F3algebra∎

If Kz=Kx, then n:=z−x∈N(K). By step 1.1, x⊥n, so [F3] gives ∥z∥2=∥x+n∥2=∥x∥2+∥n∥2≥∥x∥2, with equality only when n=0, that is, z=x. Thus x is the unique minimum-norm solution.

DefinitionDefinition: AI-adaptedProof: Not applicablejudge pass (gpt-6-luna)verified 2026-10-22 (gpt-6.1-sol)Open item page →

Power source ball

Definition

Assume Countable Choice. Let K:X→Y be compact between real or complex Hilbert spaces over the same scalar field and let ν,ρ>0. The power source ball is Xν,ρ(K):={∣K∣νw:w∈X, ∥w∥X≤ρ}, where ∣K∣ν=(K∗K)ν/2 is defined by compact spectral calculus. It lies in N(K)⊥ and consists of minimum-norm representatives of the exact data Kx. In the convention S=K∗K this is the source condition x=Sν/2w.

LemmaStatement: AI-adaptedProof: AI-generatedprecheck passjudge pass (gpt-6-luna)verified 2026-10-22 (gpt-6.1-sol)Open item page →

Spectral interpolation for power source balls

Statement

Assume Countable Choice. Let K:X→Y be compact between real or complex Hilbert spaces over the same scalar field, let ν>0 and w∈X, and put x=∣K∣νw. Then ∥x∥X≤∥Kx∥Yν/(ν+1)∥w∥X1/(ν+1).

Facts & Assumptions

Given: Countable Choice, compact K:X→Y between real or complex Hilbert spaces, ν>0, w∈X, and x=∣K∣νw.

[A1]

The Axiom of Countable Choice (ACω): Countable Choice is assumed by the compact singular-value decomposition supplier.

[F1]

Singular value decomposition for compact operators: The positive singular system has orthonormal right and left singular vectors vj,uj with ∣K∣vj=sjvj and Kvj=sjuj, and the closed span of the vj is N(K)⊥.

[F2]

Power source ball: The power source multiplier is ∣K∣ν=(K∗K)ν/2.

[F3]

Compact spectral filters, source conditions, and qualification: The compact spectral multiplier acts on an eigenvector by its scalar function, and the power multiplier has value zero at the zero eigenvalue.

Proof

1.1givenA1F1F2F3construct

Let J index the positive singular values in [F1]. Write w=w0+∑j∈Jwjvj in norm, with w0∈N(K). By [F2]–[F3], x=∑j∈Jsjνwjvj and Kx=∑j∈Jsjν+1wjuj, with norm-convergent expansions. For each finite F⊆J, orthonormality gives the squared norms of the partial sums as the sums of squared coefficients; taking limits by continuity of the norm gives ∥x∥X2=∑j∈Jcj and ∥Kx∥Y2=∑j∈Jaj. The same finite-sum identity and w0⊥vj give ∥w∥X2=∥w0∥X2+∑j∈Jbj≥∑j∈Jbj, where cj=sj2ν∣wj∣2, aj=sj2ν+2∣wj∣2, and bj=∣wj∣2.

1.2givenF4algebra

Put θ=ν/(ν+1)∈(0,1). For a finite F⊆J, set AF=∑j∈Faj, BF=∑j∈Fbj, and CF=∑j∈Fcj. If AF=0 or BF=0, then every wj with j∈F is zero because sj>0, so CF=0. Otherwise, for j∈F put pj=aj/AF and qj=bj/BF. The scalar inequality tθ≤θt+1−θ holds for t≥0: for t>0 set g(t)=θt+1−θ−tθ. By [F4], g′(t)=θ(1−tθ−1). If 0<t<1, strict increase of u↦u1−θ gives t1−θ<11−θ=1; by [F4] and inverse order this implies tθ−1>1 and g′(t)<0. If t>1, the inequalities reverse and g′(t)>0. The mean value theorem then gives g(t)≥g(1)=0 for every t>0, while g(0)=1−θ>0. If qj>0, apply the scalar inequality to t=pj/qj to obtain pjθqj1−θ≤θpj+(1−θ)qj; if qj=0, the same inequality is immediate. Since cj=ajθbj1−θ, summing and using ∑pj=∑qj=1 gives CF≤AFθBF1−θ.

2.1givenstep 1.1step 1.2algebra∎

Exhaust J by its first n indices when J is infinite, and take F=J when it is finite; if J is empty, all three sums in step 1.1 are zero. Passing to the limit in step 1.2 gives ∥x∥X2≤∥Kx∥Y2θ∥w∥X2(1−θ). Taking nonnegative square roots and substituting θ=ν/(ν+1) proves the claimed inequality.

TheoremStatement: AI-adaptedProof: AI-generatedprecheck passjudge pass (gpt-6-luna)verified 2026-10-22 (gpt-6.1-sol)Open item page →

Deterministic minimax lower bound on power source balls

Statement

Assume Countable Choice. Let K:X→Y be compact between real or complex Hilbert spaces over the same scalar field, ν,ρ>0, and let Xν,ρ(K) be its power source ball. For any deterministic reconstruction map A:Y→X and any δ≥0, define Eδ(A):=sup⁡{∥A(Kx+η)−x∥X:x∈Xν,ρ(K), η∈Y, ∥η∥Y≤δ}. Then Eδ(A)≥εK(Xν,ρ(K),δ), and therefore inf⁡A:Y→XEδ(A)≥εK(Xν,ρ(K),δ). For any M⊆X with 0∈M, define the two-truth modulus ε~K(M,δ):=sup⁡{∥x1−x2∥X:x1,x2∈M, ∥K(x1−x2)∥Y≤2δ}. Then ε~K(Xν,ρ(K),δ)=2εK(Xν,ρ(K),δ).

Facts & Assumptions

Given: Countable Choice, compact K:X→Y between real or complex Hilbert spaces over the same scalar field, ν,ρ>0, the power source ball Xν,ρ(K), a noise level δ≥0, and a deterministic map A:Y→X.

[A1]

The Axiom of Countable Choice (ACω): Countable Choice is required by the compact spectral multiplier used to define the power source ball; the indistinguishable-data argument below uses no further choice.

[F1]

Power source ball: Xν,ρ(K)={∣K∣νw:∥w∥X≤ρ}.

[F2]

Centered conditional modulus of continuity: εK(M,δ)=sup⁡{∥x∥X:x∈M,∥Kx∥Y≤δ} when 0∈M⊆N(K)⊥.

[F3]

Index source elements are minimum-norm solutions: Every element of Xν,ρ(K) lies in N(K)⊥.

[F4]

Hilbert space and The induced length is a norm: The Hilbert norm is induced by the inner product, and its triangle inequality holds.

Proof

1.1givenA1F1F2F3F4choosealgebra

The class Xν,ρ(K) contains 0 by taking w=0 in [F1]. It is symmetric: if x=∣K∣νw with ∥w∥X≤ρ, then −x=∣K∣ν(−w) with ∥−w∥X≤ρ. It is convex: for xi=∣K∣νwi with ∥wi∥X≤ρ and 0≤t≤1, tx1+(1−t)x2=∣K∣ν(tw1+(1−t)w2), while the triangle inequality gives ∥tw1+(1−t)w2∥X≤tρ+(1−t)ρ=ρ. By [F3], this class is contained in N(K)⊥, so [F2] applies.

2.1givenstep 1.1F2F4algebra

Let x∈Xν,ρ(K) satisfy ∥Kx∥Y≤δ. The two admissible truths x and −x with noises −Kx and Kx both produce the same observed datum 0. Their reconstruction errors are ∥A(0)−x∥X and ∥A(0)+x∥X, and the triangle inequality yields 2∥x∥X=∥(A(0)+x)−(A(0)−x)∥X≤∥A(0)+x∥X+∥A(0)−x∥X. Hence the larger error is at least ∥x∥X, so taking the supremum over all such x gives Eδ(A)≥εK(Xν,ρ(K),δ). Taking the infimum over A preserves this lower bound.

3.1givenstep 1.1F1F2algebra∎

If x1,x2∈Xν,ρ(K) and ∥K(x1−x2)∥Y≤2δ, then z=(x1−x2)/2 lies in the class by symmetry and convexity from step 1.1 and satisfies ∥Kz∥Y≤δ; thus ∥x1−x2∥X=2∥z∥X≤2εK(Xν,ρ(K),δ). Conversely, for every z in the centered-modulus set, the pair (z,−z) lies in the source ball and has ∥K(z−(−z))∥Y=2∥Kz∥Y≤2δ, so the two-truth supremum is at least 2εK(Xν,ρ(K),δ). Taking suprema proves the claimed factor of two.

TheoremStatement: AI-adaptedProof: AI-generatedprecheck passjudge pass (gpt-6-luna)verified 2026-10-22 (gpt-6.1-sol)Open item page →

Conditional modulus on a power source ball

Statement

Assume Countable Choice. Let K:X→Y be compact between real or complex Hilbert spaces over the same scalar field and ν,ρ>0. For every δ≥0, εK(Xν,ρ(K),δ)≤δν/(ν+1)ρ1/(ν+1). For every positive singular value sj with right singular vector vj, equality holds at δj=ρsjν+1, witnessed by xj=ρsjνvj. If K has infinite rank, these δj form a null sequence; if K has finite positive rank, equality is asserted only at its finitely many positive singular values; if K=0, the source ball and modulus are {0} and 0.

Facts & Assumptions

Given: Countable Choice, compact K:X→Y between real or complex Hilbert spaces over the same scalar field, ν,ρ>0, the power source ball, its centered modulus, and δ≥0.

[A1]

The Axiom of Countable Choice (ACω): Countable Choice is assumed by the compact singular-value decomposition supplier.

[F1]

Power source ball: Xν,ρ(K)={∣K∣νw:∥w∥X≤ρ}.

[F2]

Centered conditional modulus of continuity: εK(M,δ) is the supremum of ∥x∥X over x∈M with ∥Kx∥Y≤δ.

[F3]

Index source elements are minimum-norm solutions: Every element of the power source ball lies in N(K)⊥.

[F4]

Spectral interpolation for power source balls: If x=∣K∣νw, then ∥x∥X≤∥Kx∥Yν/(ν+1)∥w∥X1/(ν+1).

[F5]

Singular value decomposition for compact operators and Absolute value and singular values of a compact operator: Each positive singular value sj has a unit right singular vector vj with ∣K∣vj=sjvj and ∥Kvj∥Y=sj; an infinite positive singular sequence tends to zero.

Proof

1.1givenF2F3algebra

If δ=0 and x belongs to the centered-modulus set, then Kx=0. By [F3], x∈N(K)⊥ as well, so x=0 and εK(Xν,ρ(K),0)=0. If K=0, [F3] likewise forces every member of the power source ball to be zero, so the asserted bound holds with no positive singular direction.

1.2givenA1F1F2F4choose

Suppose δ>0 and let x be any element of the centered-modulus set. By [F1], choose w∈X with x=∣K∣νw and ∥w∥X≤ρ. Applying [F4] and using ∥Kx∥Y≤δ gives ∥x∥X≤δν/(ν+1)ρ1/(ν+1); taking the supremum over the centered-modulus set proves the bound.

2.1givenA1step 1.1step 1.2F1F2F5constructalgebra∎

Fix a positive singular value sj and its unit right singular vector vj from [F5]. Set wj=ρvj and xj=∣K∣νwj=ρsjνvj. Then ∥Kxj∥Y=ρsjν+1=δj and ∥xj∥X=ρsjν=δjν/(ν+1)ρ1/(ν+1). Thus xj is feasible in the centered-modulus supremum at δj and attains the upper bound from step 1.2. If there are infinitely many positive singular values, compactness gives sj→0 and hence δj→0; finite positive rank gives only the stated finite list, while K=0 was handled in step 1.1.

4 · Examples, counterexamples and false statements

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