Alphabeta Math
ExampleConstruction: AI-adaptedVerification: AI-adaptedPipeline-generatedaudited 2026-09-22
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.

Diagonal operator on ell p is compact iff diagonal tends to zero

Example

Assume the Axiom of Dependent Choice (The axiom of dependent choice: a relation in which every element is related to something admits an N-indexed chain). Let K=R or C, let 1≤p≤∞ and let a:N→K, n↦an, be bounded in modulus: there is a real M≥0 such that ∣an∣≤M for every n. Write ℓp(N,K) for the counting-measure space Lp(#;K) on (N,P(N),#), read as the space of scalar sequences x with ∑n∣xn∣p<∞ for p<∞ and with sup⁡n∣xn∣<∞ for p=∞ (Counting measure on an arbitrary set, Counting measure is a measure, ℓp is the Lp space of counting measure, Complex Lp classes and Euclidean test-function conventions), and let

Da:ℓp(N,K)⟶ℓp(N,K),(Dax)n:=anxn,

be the diagonal operator. Then Da is compact (Compact linear operator) if and only if an→0, meaning that for every real ε>0 there is N∈N such that ∣an∣<ε whenever n≥N.

Facts & Assumptions

[A1]

On (N,P(N),#) every real function is measurable, for real f one has ∫∣f∣p d#=∑n∣f(n)∣p for 0<p<∞ and ∥f∥∞=sup⁡n∣f(n)∣, and almost-everywhere equality is equality everywhere (ℓp is the Lp space of counting measure, Counting measure on an arbitrary set); for complex f=u+iv measurability means measurability of u,v, so every complex function on N is measurable, and Lp(#;C) is complete under ACω (Complex Lp classes and Euclidean test-function conventions, Complex completeness, density, and inner product: the consumer interface).

[A2]

Real Lp(#) is complete under countable choice (Riesz-Fischer completeness of Lp for 1≤p≤∞); completeness of the target is what the norm-closure theorem needs for a compact conclusion (Banach space, A norm on a real vector space, the induced metric, and the dictionary with the metric axioms).

[A3]

For λ a scalar and n fixed, the sequence en that is 1 at n and 0 elsewhere lies in ℓp with ∥en∥p=1 for every 1≤p≤∞ (Counting measure on an arbitrary set, ℓp is the Lp space of counting measure, Complex Lp classes and Euclidean test-function conventions).

[A4]

A bounded finite-rank operator is compact (Bounded finite rank operators are compact); under ACω a norm limit of compact operators with Banach target is compact (Norm limit of compact operators is compact); under DC a compact operator sends bounded sequences to sequences with convergent subsequences (Sequential characterization of compact operators, The axiom of dependent choice: a relation in which every element is related to something admits an N-indexed chain, The Axiom of Countable Choice (ACω), Dependent choice implies countable choice).

[A5]

The operator norm bounds ∥Tx∥≤∥T∥ ∥x∥ and equals the supremum of ∥Tx∥ over the closed unit ball (The operator norm as the least bound and as the unit-sphere or unit-ball supremum, A bounded linear operator between normed spaces, Open ball, closed ball and sphere in a metric space); operator-norm convergence is metric convergence (Convergence of a sequence in a metric space: xk→x iff d(xk,x)→0 in R), while scalar convergence has the explicit epsilon meaning in the statement.

Verification

technique · direct

Given: DC, K∈{R,C}, 1≤p≤∞, a bounded sequence a, the operator Da on ℓp(N,K), and the truncations Da(N) defined by (Da(N)x)n=anxn for n<N and 0 for n≥N.

1.1A1A5algebra

Da is well defined and bounded with ∥Dax∥p≤∥a∥∞∥x∥p, because ∣anxn∣≤∥a∥∞∣xn∣ for every n; so ∥Da∥≤∥a∥∞.

1.2A3A4

Each truncation Da(N) is bounded, and its range is contained in the linear span of e0,…,eN−1, so Da(N) has finite rank and is compact by [A4].

1.3A5

If an↛0, then there is a real ε>0 and a strictly increasing n with ∣ank∣≥ε for all k: this is the negation of convergence, and the indices are chosen by DC (The axiom of dependent choice: a relation in which every element is related to something admits an N-indexed chain, A strictly increasing index map satisfies nk≥k).

2.1step 1.1A3A5

For every N one has ∥Da−Da(N)∥=sup⁡n≥N∣an∣: the upper bound is [step 1.1] applied to the tail sequence, and the lower bound follows by testing en for n≥N, where ∥(Da−Da(N))en∥p=∣an∣.

2.2step 1.3A3A4A5

Under the hypothesis of [step 1.3], the bounded sequence (enk) has ∥Daenk−Daenl∥p≥ε for all k≠l (indeed it is at least (εp+εp)1/p for p<∞ and at least ε for p=∞), so the sequence of images has no convergent subsequence; by the sequential characterization [A4] the operator Da is not compact.

3.1step 1.2step 2.1A1A2A4

If an→0, then for every real ε>0 there is N with ∣an∣<ε for all n≥N, so ∥Da−Da(N)∥≤ε by [step 2.1]; hence Da is a norm limit of the compact operators Da(N) and is compact by [A4], the target ℓp being Banach by [A1] and [A2].

4.1step 3.1step 2.2∎

Steps [step 3.1] and [step 2.2] are the two directions of the equivalence, so the diagonal operator Da on ℓp(N,K) is compact exactly when an→0.

Depends on

Used by

Nothing in the library uses this result yet.

Dependency tree · two levels

119 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