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ExampleConstruction: AI-adaptedVerification: AI-adaptedPipeline-generated
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.

A batch-size sequence fails the OBM consistency conditions

Example

Set δ=1 and bn=⌊n1/2⌋ for n≥2. This sequence fails one Flegal–Jones batch-size condition, n2/(2+δ)(log⁡n)3/bn→0. The example establishes inapplicability of this sufficient condition only; it does not imply that the OBM estimator is inconsistent.

Facts & Assumptions

Given: The sequence bn=⌊n1/2⌋ and the lower-growth batch-size premise retained in the corrected Flegal–Jones OBM contract.

[F1]

The Flegal–Jones batch-size contract for exponent δ includes the lower-growth limit n2/(2+δ)(log⁡n)3/bn→0. (Flegal–Jones overlapping-batch size conditions)

[F2]

The OBM estimator uses overlapping batch means of integer length bn<n. (Overlapping batch means for MCMC standard errors)

Verification

1.1F1givenalgebra

For n≥2, n1/2−1<bn≤n1/2, so bn/n1/2→1. Thus n2/3(log⁡n)3/bn∼n1/6(log⁡n)3→∞, which violates the required limit in [F1] at δ=1.

2.1F2step 1.1givenalgebra∎

Since 1≤bn≤n1/2<n for n≥2, the finite OBM procedure in [F2] is defined. Step 1.1 establishes failure of one source sufficient condition only, not inconsistency of the estimator.

Depends on

Used by

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Dependency tree · two levels

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Sources