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 distributed heat source has an exact box-constrained optimum
Statement
Assume Countable Choice. Let , , , and . Let be the load functional , set , , , and . Put and , which solve the state equation. Set and . Define . Then is the unique optimal control, and its adjoint is .
Facts & Assumptions
Given: The one-dimensional coercive elliptic control problem, the admissible box , and the exactly defined target .
The state and adjoint equations have unique weak solutions under the bounded coercive form hypotheses (Well-posedness of elliptic control state and adjoint equations).
For , an admissible satisfying for every is the unique minimizer (Existence, uniqueness, and variational inequality for elliptic PDE control).
Verification
The form is the full inner product, so it is bounded and coercive with constants one, and . Since , , and , integration by parts first for compactly supported smooth tests and then by density gives for every ; uniqueness in [F1] identifies the state. Since and has zero boundary values, the same argument verifies the adjoint equation.
The load identity gives for every , hence . Since , it is admissible, and . Thus its variational inequality holds with equality for every admissible comparison control, and [F2] makes the unique minimizer.
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
22 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
- Eduardo Casas and Fredi Tröltzsch, Error estimates for linear-quadratic elliptic control problems (standard reference, not scraped)
- Hannes Meinlschmidt, Optimization with Partial Differential Equations, FAU lecture notes (standard reference, not scraped)