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.
Finite-grid Markov derivative inequality
Statement
Let and let be a real polynomial with no supported monomial of degree greater than . Put and . If for every integer , then
Facts & Assumptions
Given: An integer , a real polynomial of degree at most , and the bounds on the integer grid.
Continuous Markov derivative bound on an interval: for a polynomial of degree at most on , its maximum derivative magnitude is at most times its range height.
Bounded integer-grid values control excursions by the derivative: under the stated integer-grid bounds, ; in particular .
For a natural the function is differentiable everywhere with derivative ; for it is the constant , with derivative ; for a natural the function is differentiable at every with derivative ; consequently every polynomial function is differentiable at every real, with the derivative computed term by term, The chain rule, in one line from Carathéodory: if is differentiable at and is differentiable at , then is differentiable at with , Sums, scalar multiples, products, absolute values, maxima, minima and quotients with nonvanishing denominator of continuous functions are continuous, as are constants, the identity and every polynomial function, and Extreme value theorem: a continuous real function on a nonempty compact subset of attains a greatest and a least value: polynomial functions are differentiable with polynomial derivative, compositions obey the chain rule, and continuous functions on attain their extrema.
Proof
The polynomial functions are continuous and attain extrema on by [F3], so are defined. Put for . It has no supported monomial above degree and the same range height as on . By the chain rule in [F3], , hence . Applying [F1] gives .
Since , multiplying the inequality of step 1.1 by yields . The grid-return estimate [F2] is compatible with this bound and gives the additional consequence that will be used in the OR lower-bound proof.
Depends on
- Continuous Markov derivative bound on an interval
- Bounded integer-grid values control excursions by the derivative
- For a natural $n \ge 1$ the function $x \mapsto x^{n}$ is differentiable everywhere with derivative $\iota(n)\,x^{\,n-1}$; for $n = 0$ it is the constant $1$, with derivative $0$; for a natural $n \ge 1$ the function $x \mapsto x^{-n}$ is differentiable at every $x \ne 0$ with derivative $-\iota(n)\,x^{-n-1}$; consequently every polynomial function is differentiable at every real, with the derivative computed term by term
- The chain rule, in one line from Carathéodory: if $g$ is differentiable at $c$ and $f$ is differentiable at $g(c)$, then $f \circ g$ is differentiable at $c$ with $(f \circ g)'(c) = f'(g(c))\,g'(c)$
- Sums, scalar multiples, products, absolute values, maxima, minima and quotients with nonvanishing denominator of continuous functions are continuous, as are constants, the identity and every polynomial function
- Extreme value theorem: a continuous real function on a nonempty compact subset of $\mathbb{R}$ attains a greatest and a least value
Used by
Dependency tree · two levels
57 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
- N. L. Carothers, A Short Course on Approximation Theory (1998), Chapter 5, Theorem 5.22 (standard reference, not scraped)
- Andrew M. Childs, Lecture Notes on Quantum Algorithms (2025), §21.6 (standard reference, not scraped)
- Ronald de Wolf, Quantum Computing: Lecture Notes (arXiv:1907.09415), §11.2 (standard reference, not scraped)