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The obstacle reaction is supported on the contact set under measure regularity
Statement
Assume Countable Choice and the Axiom of Choice, in the setting of Obstacle complementarity in distribution form, and suppose additionally that the reaction agrees on with a nonnegative Radon measure (Radon measure on an LCH space): for every test function. Assume and have continuous representatives. Then , so is concentrated on the contact set , and .
Facts & Assumptions
Given: The obstacle setting of Obstacle complementarity in distribution form: a bounded domain (a bounded interval when ), a uniformly elliptic divergence-form operator with symmetric bounded coercive form , , , an obstacle with , the admissible set (Zero-boundary Sobolev space as a norm closure), the obstacle solution , and the reaction for real tests, extended complex linearly (The closed convex obstacle set and the obstacle variational inequality). The functions and are represented by continuous functions on , again written and . A nonnegative Radon measure on the locally compact space satisfies for every (Test function space d of an open set).
The closed convex obstacle set and the obstacle variational inequality, Existence and uniqueness for the obstacle problem: satisfies for every , so in particular almost everywhere on ; and , so a compactly supported smooth function belongs to the zero-boundary test space.
Obstacle complementarity in distribution form: on real tests, extended complex linearly, defines the reaction distribution of the solution on (Distribution), and the additional product conclusions recorded there require the separate hypothesis that be represented by an function.
Test function cutoffs and euclidean localization: in ZF, for compact with open there is with and on a neighborhood of .
Radon measure on an LCH space: is a Borel measure on the locally compact Hausdorff space with for every compact , outer regular on Borel sets and inner regular on open sets: for every open .
Euclidean balls have positive finite Lebesgue measure: every Euclidean ball has positive finite Lebesgue measure, so a nonempty open subset of is not Lebesgue-null (Measure-null sets and almost-everywhere statements relative to a measure).
A nonnegative measurable function has integral exactly when it vanishes almost everywhere, A nonnegative integral over a null set vanishes: a nonnegative measurable function has integral if and only if it vanishes almost everywhere, and the integral of a nonnegative measurable function over a null set vanishes.
Measures are monotone: a measure is monotone under inclusion of measurable sets.
A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value: a continuous real function on a nonempty compact metric space attains its minimum and maximum, so a positive continuous function has a positive minimum there and a continuous test function has finite sup norm.
Proof
Given: The setting above, with the continuous representatives of and , the nonnegative Radon measure representing the reaction on test functions, and the open set .
( is open and the two-sided test vanishes there) Because is continuous, is open in , hence in ; and for every real one has . Indeed, if this is trivial, so let , put , a nonempty compact set, and let , which is positive because is continuous and positive on . For every define ; then by [F1]. On the set one has , while off one has almost everywhere by [F1]; hence . Testing the variational inequality [F1] at gives , that is , so . For a complex test on , apply this argument to its real and imaginary parts; complex linearity [F2] gives as well.
(Compact subsets of the noncontact set are -null) Let be compact. By [F3] there is with and on a neighborhood of ; then . Step 1.1 and the measure representation give , and is continuous, hence -measurable; by [F6] -almost everywhere, that is . Monotonicity [F7] applied to gives .
( by inner regularity) By [F4] inner regularity on the open set gives , and every term of this supremum is by step 2.1, so ; this includes the case , where the only compact subset is the empty set, whose measure is .
(The complementary open set is empty) The set is open in and has Lebesgue measure zero, because almost everywhere by [F1]; were it nonempty it would contain a Euclidean ball of positive measure by [F5]. Hence and therefore with ; equivalently, is concentrated on the contact set .
(The integral vanishes) The functions and are nonnegative and continuous, hence -measurable; vanishes outside , which is -null by step 3.1, and vanishes outside by step 4.1, so [F6] gives ; both integrals being finite, . This proves all the asserted conclusions: , concentration on and vanishing of the integral. The positive-measure ball supplier [F5] uses Countable Choice; the cutoff [F3] is constructed in ZF and inner regularity is part of [F4], so the local argument makes no further selections. The assumed Axiom of Choice and Countable Choice also cover the inherited obstacle setting and existence of [F1].
Depends on
- A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value
- A nonnegative integral over a null set vanishes
- Obstacle complementarity in distribution form
- The Axiom of Choice
- The closed convex obstacle set and the obstacle variational inequality
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- Distribution
- Measure-null sets and almost-everywhere statements relative to a measure
- Radon measure on an LCH space
- Test function space d of an open set
- Zero-boundary Sobolev space as a norm closure
- Euclidean balls have positive finite Lebesgue measure
- Test function cutoffs and euclidean localization
- Measures are monotone
- Existence and uniqueness for the obstacle problem
- A nonnegative measurable function has integral $0$ exactly when it vanishes almost everywhere
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Sources
- John Andersson, The Obstacle Problem, KTH lecture notes, 16 December 2015 (complete 52-page notes) (standard reference, not scraped)