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.
Conditional asymptotic validity of the Simpson /15 indicator
Statement
Let , , for , , , and . Let . Then the refinement indicator satisfies . If , then . The Richardson-corrected value satisfies . When , these statements give no relative error estimate for ; at no finite level does alone certify the true error.
Facts & Assumptions
Given: A nondegenerate interval, a integrand, nested composite Simpson grids with mesh widths , and exact arithmetic.
Leading composite Simpson error coefficient: with the stated coefficient .
Embedded Simpson refinement indicator: the magnitude of the embedded indicator is ; a Richardson correction adds the signed quantity to the refined value.
Higher derivatives and the classes and : specifies continuous derivatives through order four on the closed interval.
The reverse triangle inequality: for reals , .
Proof
By [F3], the regularity hypothesis is . By [F1], write where . Since , .
The signed difference . Therefore [F2] and step 1.1 give for some . By [F4], the difference between and is at most , so .
If , step 1.1 and [F4] give , so for all sufficiently large ; dividing the step 2.1 relation by then gives . Also , whose order- terms cancel by step 1.1, leaving . If , both leading terms vanish, and these asymptotic formulas do not give a relative-error conclusion. The limit statements do not bound any finite-level error.
Depends on
Used by
Dependency tree · two levels
23 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
- Art B. Owen, Monte Carlo Theory, Methods and Examples, Chapter 7, §7.2 (standard reference, not scraped)
- Tobin A. Driscoll and Richard J. Braun, Fundamentals of Numerical Computation, §§5.6–5.7 (standard reference, not scraped)
- L. Ridgway Scott, Numerical Analysis, 2nd ed., Chapter 13, §13.2 (standard reference, not scraped)