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The first variation vanishes at an interior minimiser
Statement
Let be a real Banach space, open, Gateaux differentiable at (Gateaux and Frechet derivatives of a functional) and suppose is a local minimiser of : for all with small (Local (relative) maximum and minimum of at a point, the strict forms, and what it means for the point to be interior to ). Then More generally, if is a linear subspace and for all with small, then for every .
Facts & Assumptions
Given: A real Banach space , an open set , a map that is Gateaux differentiable at , and the assumption that is a local minimiser: for all with small. For the general form, a linear subspace with for all with small.
Gateaux differentiability of at means that exists for every and that is a bounded linear functional; for each fixed the function satisfies (Gateaux and Frechet derivatives of a functional).
The point is an interior local minimum of when for all with small, the one-variable notion of Local (relative) maximum and minimum of at a point, the strict forms, and what it means for the point to be interior to (Local (relative) maximum and minimum of at a point, the strict forms, and what it means for the point to be interior to ).
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 has a local extremum at a point interior to its domain and is differentiable at , then ).
Proof
Reduction to one variable. Fix . Since is open and , there is with for every ; define for those . By [F1] exists and equals . The local minimality of gives with , that is , whenever ; in the terminology of [F2], is an interior local minimum of .
Fermat's theorem applied to . The function is differentiable at its interior point and has a local minimum there, so by [F3] ; by step 1.1 this reads .
The general admissible-affine form. Let be a linear subspace and suppose for all with small. Fix . For small the point belongs to , because is a linear subspace and is open; the argument of steps 1.1 and 2.1 therefore applies verbatim to this and yields . As was arbitrary, the first variation vanishes on the whole subspace .
Depends on
- Gateaux and Frechet derivatives of a functional
- 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 $f'(c) = 0$
- Local (relative) maximum and minimum of $f : A \to \mathbb{R}$ at a point, the strict forms, and what it means for the point to be interior to $A$
Used by
- Stationarity of the Euler-Lagrange equation does not imply a minimum Counterexample
- Euler-Lagrange is necessary but not sufficient without convexity Remark
- The direct method for convex integral functionals Theorem
- The natural boundary condition for free boundary variations Theorem
- The weak Euler-Lagrange equation for integral functionals with fixed trace Theorem
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
- Gerald Teschl, Partial Differential Equations: From Classical to Modern (2026 author manuscript; complete 392-page archived text) (standard reference, not scraped)
- Viktor Grigoryan, Math 246B Partial Differential Equations, UCSB 2011 (complete 31-page course notes) (standard reference, not scraped)