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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 bounded form without coercivity need not be solvable
Statement refuted
Let be a nonzero real or complex Hilbert space and let , so is a bounded sesquilinear form with bound , but is not coercive: for all , so no satisfies at any . Let be a bounded conjugate-linear functional on . Then the equation for all has no solution, since its left side is identically while the right side is not. Hence boundedness alone does not imply existence or uniqueness, and the coercivity hypothesis of The Lax--Milgram theorem cannot be dropped. The same witness shows that the estimate has no content without .
Facts & Assumptions
Given: A nonzero real or complex Hilbert space ; the zero form ; and a nonzero bounded conjugate-linear functional on .
is sesquilinear and bounded with ; for every , so is coercive with no : a nonzero would give (Bounded, coercive and symmetric sesquilinear forms, Hilbert space).
A solution of for all would in particular satisfy (The Lax--Milgram theorem records the equation whose hypotheses fail here).
Proof
The form is bounded but not coercive: shows the bound , while for every and every one has .
A datum with nonzero value: means , so some has .
No solution: if satisfied for all , then , a contradiction. Hence the equation has no solution, so neither existence nor uniqueness follows from boundedness alone; the estimate of The Lax--Milgram theorem has no content without , and the coercivity hypothesis there cannot be dropped.
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Used by
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Dependency tree · two levels
24 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
- John K. Hunter, Notes on Partial Differential Equations (UC Davis, revised 18 June 2014, complete 242-page two-quarter notes) (standard reference, not scraped)
- Leon Simon, Lectures on Partial Differential Equations (Stanford, complete 223-page author scan) (standard reference, not scraped)
- Richard S. Laugesen, Linear Analysis and Partial Differential Equations (University of Illinois, 2020, complete 158-page graduate notes) (standard reference, not scraped)