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 convex function on an open interval has finite left and right derivatives everywhere, with for
Statement
If is convex on an open interval, then and are finite for every . Moreover, for in ,
Facts & Assumptions
Given: A convex on an open interval and in .
For a convex function and three ordered points, the three secant slopes satisfy (For a convex function and , the three secant slopes satisfy ).
The left and right derivatives are the one-sided limits of the difference quotient (The left and right derivatives of a real function as one-sided limits of its difference quotient).
A nondecreasing function on an interval has every well-posed one-sided limit, given by the corresponding supremum or infimum (One-sided limits of a monotone function always exist: for nondecreasing on an interval and , whenever has points below , whenever it has points above , and these satisfy ).
Proof
For fixed , the functions on and on are nondecreasing by [L1]; choosing points on both sides of , [L1] bounds each near between two fixed finite outer secant slopes.
The monotone one-sided-limit theorem [L3] therefore supplies finite one-sided limits of these two slope functions at , and [L2] identifies them respectively with and .
Apply [L1] to and let , then to and let ; together with and obtained in the same way, this gives the displayed chain.
Depends on
- For a convex function and $x<y<z$, the three secant slopes satisfy $s(x,y)\le s(x,z)\le s(y,z)$
- A convex real function is Lipschitz on every closed bounded subinterval of the interior of its domain, hence continuous throughout the interior
- The left and right derivatives of a real function as one-sided limits of its difference quotient
- One-sided limits of a monotone function always exist: for $f$ nondecreasing on an interval $I$ and $c \in I$, $\lim_{x \to c^{-}} f(x) = \sup\{f(x) : x \in I,\ x < c\}$ whenever $I$ has points below $c$, $\lim_{x \to c^{+}} f(x) = \inf\{f(x) : x \in I,\ x > c\}$ whenever it has points above $c$, and these satisfy $\lim_{x \to c^{-}} f(x) \le f(c) \le \lim_{x \to c^{+}} f(x)$
Used by
- A convex function on an open interval is differentiable except at at most countably many points Theorem
- A differentiable function on an open interval is convex if and only if its derivative is nondecreasing Theorem
- Every slope between the left and right derivatives of a convex function gives a supporting line Theorem
Dependency tree · next 3 levels
Direct dependencies and their dependencies through the next three levels: 47 results over 14 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)