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 positive mode multiplier too small to certify
Statement
Use the dyadic interval format with precision and exponent limits , , and select the matching operationwise model with a valid unit-roundoff bound . Set the common range truncation index to , twiddle bound to , phase tolerance to , phase precisions to and , and the FFT recursion cap to . Give the algorithm one type-1 source , mode bound , one candidate , , , and requested positive absolute tolerance . Its least positive subnormal is . The exact smallest deconvolution multiplier is positive but less than . Therefore a finite outward dyadic lower endpoint for this multiplier cannot be positive, and the algorithm must reject the candidate as inconclusive at its positive-lower-bound check (or at an earlier range check); it cannot return a certified result using this candidate.
Facts & Assumptions
Given: The displayed one-dimensional candidate and dyadic format, with , , , and .
Dyadic floating-point format and directed rounding: the least positive subnormal is , and every positive finite representable number is at least that value.
The exponential is positive and satisfies and The exponential function is strictly increasing: , , and the real exponential is strictly increasing.
Certified Gaussian gridding for type 1 and type 2: the candidate requires a positive certified lower endpoint for and rejects it if the lower endpoint is nonpositive; a non-finite elementary-range result is also inconclusive.
Nonnegative real square roots exist uniquely: the nonnegative square root of a positive number is positive and order comparisons follow from squaring nonnegative quantities.
Real elementary functions and their domains: , since the integrand is at least on .
Proof
The format's subnormal spacing is by [F1], and the exact multiplier is positive by [F3], [F5] and . Since , [F5] gives ; also by [F6]. Thus For , the positive exponential series gives Taking positive reciprocals therefore yields .
By [F1], any positive finite dyadic endpoint is at least . A sound lower endpoint for the exact multiplier must be at most by step 1.1, so it cannot be positive. The algorithm's explicit check [F4] consequently rejects this candidate as inconclusive if its finite multiplier enclosure is reached; if an earlier range operation is non-finite, [F4] gives the same inconclusive outcome. Thus this candidate cannot yield a certified transform result.
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
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