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.
The absolute-value extension gives a zero complex-step quotient despite its real derivative
Statement refuted
For every open , every , every open real interval with on which is real-valued and differentiable at , and every with , the quotient equals .
Facts & Assumptions
Given: , , , , and any .
Real and imaginary parts, complex conjugation, and modulus: if , then and .
The complex-step derivative estimator and its component-error model: the notation is defined there for holomorphic that is real-valued on a real interval around ; the counterexample tests the same quotient formula without holomorphy.
Complex-step differentiation is second-order for holomorphic functions real on the real axis: its derivative-error conclusion assumes is holomorphic near the vertical segment and real on a real interval around .
Counterexample
Given: The function, point and step in the Facts & Assumptions.
On a real neighborhood of , , so the ordinary derivative of the real restriction at is .
By [F1], is real. Thus the quotient in the Statement is for every , which is not the real derivative .
The complex difference quotient along real increments is for and . Along imaginary increments it is . The limits differ, so is not complex differentiable at and the formally defined estimator in [F2] and guarantee in [F3] do not apply; step 1.2 instead refutes the unqualified quotient claim.
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
16 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
- Nicholas J. Higham, What Is the Complex Step Approximation? (standard reference, not scraped)
- Mike Giles, Monte Carlo methods, Lecture 6: Complex Variable Trick (standard reference, not scraped)
- R. Boudjemaa, M. G. Cox, A. B. Forbes, and P. M. Harris, Automatic Differentiation Techniques and their Application in Metrology, NPL Report CMSC 26/03 (standard reference, not scraped)