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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 Cc∞(Ω) with a nonnegative Radon measure μ (Radon measure on an LCH space): Λu(φ)=∫Ωφ dμ for every test function. Assume u and ψ have continuous representatives. Then μ({u>ψ})=0, so μ is concentrated on the contact set {u=ψ}, and ∫Ω(u−ψ) dμ=0.

Facts & Assumptions

Given: The obstacle setting of Obstacle complementarity in distribution form: a bounded C1 domain Ω⊆Rn (a bounded interval when n=1), a uniformly elliptic divergence-form operator L with symmetric bounded coercive form a, f∈L2(Ω), F(φ)=∫Ωfφ, an obstacle ψ∈H1(Ω) with Tψ≤0, the admissible set K={v∈H01(Ω):v≥ψ a.e.} (Zero-boundary Sobolev space as a norm closure), the obstacle solution u∈K, and the reaction Λu(φ)=a(u,φ)−F(φ) for real tests, extended complex linearly (The closed convex obstacle set and the obstacle variational inequality). The functions u and ψ are represented by continuous functions on Ω, again written u and ψ. A nonnegative Radon measure μ on the locally compact space Ω satisfies Λu(φ)=∫Ωφ dμ for every φ∈Cc∞(Ω) (Test function space d of an open set).

[F1]

The closed convex obstacle set and the obstacle variational inequality, Existence and uniqueness for the obstacle problem: u∈K satisfies a(u,v−u)≥F(v−u) for every v∈K, so in particular u≥ψ almost everywhere on Ω; and Cc∞(Ω;R)⊆H01(Ω;R), so a compactly supported smooth function belongs to the zero-boundary test space.

[F2]

Obstacle complementarity in distribution form: Λu(φ)=a(u,φ)−F(φ) on real tests, extended complex linearly, defines the reaction distribution of the solution u on Cc∞(Ω) (Distribution), and the additional product conclusions recorded there require the separate hypothesis that Λu be represented by an L2 function.

[F3]

Test function cutoffs and euclidean localization: in ZF, for compact K0⊆O⊆Rn with O open there is χ∈Cc∞(O) with 0≤χ≤1 and χ=1 on a neighborhood of K0.

[F4]

Radon measure on an LCH space: μ is a Borel measure on the locally compact Hausdorff space Ω with μ(K0)<∞ for every compact K0, outer regular on Borel sets and inner regular on open sets: μ(O)=sup⁡{μ(K0):K0⊆O compact} for every open O.

[F5]

Euclidean balls have positive finite Lebesgue measure: every Euclidean ball has positive finite Lebesgue measure, so a nonempty open subset of Rn is not Lebesgue-null (Measure-null sets and almost-everywhere statements relative to a measure).

[F6]

A nonnegative measurable function has integral 0 exactly when it vanishes almost everywhere, A nonnegative integral over a null set vanishes: a nonnegative measurable function has integral 0 if and only if it vanishes almost everywhere, and the integral of a nonnegative measurable function over a null set vanishes.

[F7]

Measures are monotone: a measure is monotone under inclusion of measurable sets.

[F8]

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

technique · direct

Given: The setting above, with the continuous representatives of u and ψ, the nonnegative Radon measure μ representing the reaction on test functions, and the open set O:={u>ψ}⊆Ω.

1.1givenF1F2F8

(O is open and the two-sided test vanishes there) Because u−ψ is continuous, O is open in Ω, hence in Rn; and for every real χ∈Cc∞(O;R) one has Λu(χ)=0. Indeed, if χ=0 this is trivial, so let χ≠0, put S:=supp⁡χ⊆O, a nonempty compact set, and let m:=min⁡S(u−ψ)>0, which is positive because u−ψ is continuous and positive on S. For every 0<ε<m/∥χ∥∞ define v±:=u±εχ; then v±∈H01(Ω) by [F1]. On the set {χ≠0}⊆S one has v±−ψ≥(u−ψ)−ε∣χ∣≥m−ε∥χ∥∞>0, while off {χ≠0} one has v±=u≥ψ almost everywhere by [F1]; hence v±∈K. Testing the variational inequality [F1] at v± gives a(u,±εχ)≥F(±εχ), that is ±εΛu(χ)≥0, so Λu(χ)=0. For a complex test χ=χ1+iχ2 on O, apply this argument to its real and imaginary parts; complex linearity [F2] gives Λu(χ)=0 as well.

2.1givenstep 1.1F3F6F7

(Compact subsets of the noncontact set are μ-null) Let K0⊆O be compact. By [F3] there is χ∈Cc∞(O) with 0≤χ≤1 and χ=1 on a neighborhood U of K0; then K0⊆U⊆{χ=1}⊆{χ≠0}. Step 1.1 and the measure representation give ∫Ωχ dμ=Λu(χ)=0, and χ≥0 is continuous, hence μ-measurable; by [F6] χ=0 μ-almost everywhere, that is μ({χ≠0})=0. Monotonicity [F7] applied to K0⊆{χ≠0} gives μ(K0)=0.

3.1step 2.1F4

(μ(O)=0 by inner regularity) By [F4] inner regularity on the open set O gives μ(O)=sup⁡{μ(K0):K0⊆O compact}, and every term of this supremum is 0 by step 2.1, so μ(O)=0; this includes the case O=∅, where the only compact subset is the empty set, whose measure is 0.

4.1givenstep 3.1F1F5

(The complementary open set is empty) The set {u<ψ} is open in Ω and has Lebesgue measure zero, because u≥ψ almost everywhere by [F1]; were it nonempty it would contain a Euclidean ball of positive measure by [F5]. Hence {u<ψ}=∅ and therefore Ω∖{u=ψ}={u>ψ}∪{u<ψ}=O with μ(Ω∖{u=ψ})=μ(O)=0; equivalently, μ is concentrated on the contact set {u=ψ}.

5.1step 3.1step 4.1F1F3F4F5F6∎

(The integral vanishes) The functions (u−ψ)+ and (u−ψ)− are nonnegative and continuous, hence μ-measurable; (u−ψ)+ vanishes outside O, which is μ-null by step 3.1, and (u−ψ)− vanishes outside {u<ψ}=∅ by step 4.1, so [F6] gives ∫Ω(u−ψ)+ dμ=0=∫Ω(u−ψ)− dμ; both integrals being finite, ∫Ω(u−ψ) dμ=0. This proves all the asserted conclusions: μ({u>ψ})=0, concentration on {u=ψ} 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 u [F1].

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