Alphabeta Math
TheoremStatement: Literature-sourcedProof: AI-adaptedPipeline-generatedprecheck passjudge pass (gpt-6.1-sol)
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 first variation vanishes at an interior minimiser

Statement

Let X be a real Banach space, U⊆X open, F:U→R Gateaux differentiable at u∈U (Gateaux and Frechet derivatives of a functional) and suppose u is a local minimiser of F: F(u)≤F(w) for all w∈U with ∥w−u∥ small (Local (relative) maximum and minimum of f:A→R at a point, the strict forms, and what it means for the point to be interior to A). Then δF(u;v)=0for every v∈X. More generally, if V⊆X is a linear subspace and F(u)≤F(w) for all w∈(u+V)∩U with ∥w−u∥ small, then δF(u;v)=0 for every v∈V.

Facts & Assumptions

Given: A real Banach space X, an open set U⊆X, a map F:U→R that is Gateaux differentiable at u∈U, and the assumption that u is a local minimiser: F(u)≤F(w) for all w∈U with ∥w−u∥ small. For the general form, a linear subspace V⊆X with F(u)≤F(w) for all w∈(u+V)∩U with ∥w−u∥ small.

[F1]

Gateaux differentiability of F at u means that δF(u;v)=lim⁡ε→0,ε≠0ε−1(F(u+εv)−F(u)) exists for every v∈X and that v↦δF(u;v) is a bounded linear functional; for each fixed v the function φ(ε):=F(u+εv) satisfies φ′(0)=δF(u;v) (Gateaux and Frechet derivatives of a functional).

[F3]

If a function on a real interval is differentiable at an interior local extremum, then its derivative vanishes there (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).

Proof

technique · direct, reducing to the one-variable Fermat theorem along each admissible line
1.1F1F2given

Reduction to one variable. Fix v∈X. Since U is open and u∈U, there is ε0>0 with u+εv∈U for every ∣ε∣<ε0; define φ(ε):=F(u+εv) for those ε. By [F1] φ′(0) exists and equals δF(u;v). The local minimality of u gives ε1∈(0,ε0] with F(u)≤F(u+εv), that is φ(0)≤φ(ε), whenever ∣ε∣<ε1; in the terminology of [F2], 0 is an interior local minimum of φ.

2.1F3step 1.1

Fermat's theorem applied to φ. The function φ is differentiable at its interior point 0 and has a local minimum there, so by [F3] φ′(0)=0; by step 1.1 this reads δF(u;v)=0.

3.1F1step 2.1∎

The general admissible-affine form. Let V⊆X be a linear subspace and suppose F(u)≤F(w) for all w∈(u+V)∩U with ∥w−u∥ small. Fix v∈V. For ∣ε∣ small the point u+εv belongs to (u+V)∩U, because V is a linear subspace and U is open; the argument of steps 1.1 and 2.1 therefore applies verbatim to this v and yields δF(u;v)=0. As v∈V was arbitrary, the first variation vanishes on the whole subspace V.

Depends on

Used by

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