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 differentiable function on an open interval is convex if and only if its derivative is nondecreasing
Statement
For a differentiable on an open interval , is convex if and only if is nondecreasing on .
Facts & Assumptions
Given: A differentiable on an open interval .
For a convex function, the ordered one-sided-derivative chain holds; at a differentiability point its two one-sided derivatives equal the ordinary derivative (A convex function on an open interval has finite left and right derivatives everywhere, with for ).
If a differentiable real function has nonnegative derivative on an interval, then it is nondecreasing on that interval (On an interval , for continuous on and differentiable at every interior point: throughout gives nondecreasing, gives increasing, and give the two decreasing forms; conversely a nondecreasing has and a nonincreasing has wherever it is differentiable, and no strict converse is claimed).
Proof
Assume is convex. For , [L1] becomes , so is nondecreasing.
Assume instead that is nondecreasing. For a fixed , the derivative of is nonpositive on the left of and nonnegative on the right; apply [L2] to on the left and to on the right to obtain for every .
If , multiply the supporting inequalities of step 1.2 at for and by and and add; this gives . Thus the two cases prove the equivalence.
Depends on
- A convex function on an open interval has finite left and right derivatives everywhere, with $f'_-(u)\le f'_+(u)\le (f(v)-f(u))/(v-u)\le f'_-(v)\le f'_+(v)$ for $u<v$
- Every slope between the left and right derivatives of a convex function gives a supporting line
- On an interval $I$, for $f$ continuous on $I$ and differentiable at every interior point: $f' \ge 0$ throughout gives $f$ nondecreasing, $f' > 0$ gives $f$ increasing, $f' \le 0$ and $f' < 0$ give the two decreasing forms; conversely a nondecreasing $f$ has $f' \ge 0$ and a nonincreasing $f$ has $f' \le 0$ wherever it is differentiable, and no strict converse is claimed
- A function differentiable at $c$ is continuous at $c$
- Nondecreasing, increasing (strictly increasing), nonincreasing, decreasing, monotone and strictly monotone real functions on a subset of $\mathbb{R}$, with the dictionary to monotone sequences
Used by
Dependency tree · next 3 levels
Direct dependencies and their dependencies through the next three levels: 67 results over 19 levels. An arrow runs from a result to what uses it, and this result sits at the bottom with a heavier outline. Click the chart to enlarge it.
Sources
- R. Gardner, Convex Functions, Notes 6.6 (standard reference, not scraped)