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.
Fermat's theorem: an interior differentiable local extremum has zero gradient
Statement
If is differentiable at an interior local maximum or minimum , then .
Facts & Assumptions
Given: A differentiable scalar field with a local extremum at .
The one-variable Fermat theorem gives derivative zero at an interior differentiable local extremum (Fermat's interior extremum theorem: if has a local extremum at a point interior to its domain and is differentiable at , then ).
The gradient consists of the coordinate partial derivatives (The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case).
Proof
Restrict to each coordinate line through . The restriction has a local extremum at , so [L1] makes its derivative zero.
These derivatives are the entries of by [L2], so every entry vanishes.
Depends on
- Local and strict local extrema for scalar fields on Euclidean open sets
- Fermat's interior extremum theorem: if $f$ has a local extremum at a point $c$ interior to its domain and is differentiable at $c$, then $f'(c) = 0$
- The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
17 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
- Analysis, Convexity, and Optimization (standard reference, not scraped)