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 obstacle admissible set can be empty when trace and obstacle are incompatible
Statement refuted
Refuted: that after omitting the trace-compatibility hypothesis from The closed convex obstacle set and the obstacle variational inequality, the set is automatically nonempty for every real . The definition itself retains that hypothesis and has the admissible element ; the assertion refuted here concerns arbitrary obstacle data without boundary compatibility.
Assume the Axiom of Choice (The Axiom of Choice), inherited from the trace suppliers. The witness is the interval with the incompatible obstacle datum (Endpoint trace commutes with Sobolev truncation on an interval). If , the unique absolutely continuous representative satisfies at every point of : a strict violation at one point would, by continuity, persist on an interval of positive measure, contradicting almost everywhere. But has zero endpoint trace, , so , a contradiction. Hence , and boundary compatibility ( in the sense of the definition) is necessary for nonemptiness. [The obstacle satisfies .]
Facts & Assumptions
Given: The interval , the incompatible obstacle datum , and the admissible set .
Endpoint trace commutes with Sobolev truncation on an interval: for and , is well defined and linear with ; a class therefore has endpoint trace .
One-dimensional functions have unique absolutely continuous representatives: every has a unique continuous absolutely continuous representative on , and the endpoint trace is .
The closed convex obstacle set and the obstacle variational inequality: the definition requires before defining its admissible set. Here the same set formula is used for arbitrary real data, without imposing that compatibility condition; is outside the definition's permitted obstacles.
Counterexample
Given: The interval , the incompatible obstacle datum and the set above; suppose, towards the case analysis, that .
Since almost everywhere and is continuous with almost everywhere [F2], the representative satisfies for every : if at some point, then by continuity on the intersection of with a sufficiently small interval about , which has positive measure even when is an endpoint, contradicting a.e.
On the other hand by the definition of and [F1, F3], and the endpoint trace of the class is read from its absolutely continuous representative, so [F2]. This contradicts step 1.1, which gives and .
More generally, if and obeys a.e., then as a class, so [F1] gives . Since , necessarily . No satisfies both requirements of membership in , so . Since , this is exactly the failure of the boundary compatibility hypothesis of [F3]; hence that hypothesis (equivalently ) is necessary for the admissible set to be nonempty.
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
51 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 Andersson, The Obstacle Problem, KTH lecture notes, 16 December 2015 (complete 52-page notes) (standard reference, not scraped)