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Constrained Variational Problems and Variational Inequalities — Examples

1 · Prerequisites

2 · Summary

These companions compute the page's two constraint mechanisms on explicit problems and show by witness that each hypothesis is load-bearing.

On the equality-constraint side, the isoperimetric problem on an interval minimises the Dirichlet energy subject to a prescribed integral: the minimiser is the parabola 6Ax(1−x) and its Lagrange multiplier is the constant 24A, computed from a complete weak integration-by-parts argument. The finite-dimensional counterexample with the dependent constraints G1=x and G2=2x shows that without independence of the constraint gradients the stationarity equation is satisfied by a whole line of multiplier vectors, so the uniqueness clause of the multiplier lemma genuinely needs surjectivity.

On the convex-constraint side, the one-dimensional obstacle problem with the parabolic obstacle ψ(x)=ε−12x2 is solved in closed form: the contact set is the interval [−t,t] with t=1−1−2ε, the solution is the parabola on the contact set and the linear function t(1−∣x∣) off it, and the reaction is the density 1[−t,t] of mass 2t, carried by the contact set and with no atom at the free boundary. Two counterexamples surround it: the admissible set can be empty when the trace of the obstacle is incompatible with zero boundary values, and the complementarity product u⋅μ is not well defined for an H1 class alone, because the value of log⁡log⁡(1/∣x∣) at a point charged by a Dirac measure depends on the chosen representative.

Finally, the interval computation makes the constrained eigenvalue problem explicit: on (0,1) the energy minimiser on the L2-unit sphere is 2sin⁡(πx), the minimum is π2, and the weak eigenvalue equation −u′′=π2u holds with zero boundary values. The infinite-dimensional counterexample that the unit sphere of a Hilbert space is not weakly sequentially closed explains why the norm constraint in these minimisations is recovered in the limit from strong L2 compactness rather than from weak closedness of the sphere. Choice principles are inherited from the main page's suppliers and declared per item. The explicit Rayleigh computation uses only Countable Choice through the sharp interval inequality. The integral-constraint and obstacle computations inherit AC from the trace and representative interfaces; AC also supplies the Countable and Dependent Choice required by integration by parts. The sphere and Sobolev-product counterexamples assume AC through their orthonormal-family and ACL suppliers, respectively, while the dependent-constraint calculation uses no choice principle.

3 · Logical flowchart

4 · Definitions, theorems and proofs

None yet.

5 · Examples, counterexamples and false statements

ExampleConstruction: Literature-sourcedVerification: AI-adaptedjudge pass (gpt-6.1-sol)Open item page →

The Rayleigh quotient on an interval

Example

Assume the Axiom of Choice, the ultrafilter lemma, DC and HB (The Axiom of Choice, The ultrafilter extension principle (UL/BPI), The axiom of dependent choice: a relation in which every element is related to something admits an N-indexed chain, The real dominated-extension principle as an additional hypothesis over ZF), inherited from The first Dirichlet eigenfunction by constrained minimisation; the explicit computation below consumes only Countable Choice, through The sharp Dirichlet Poincare inequality on an interval. On Ω=(0,1) the constrained minimisation of The first Dirichlet eigenfunction by constrained minimisation is explicit: a minimiser of E(u)=∫01u′2 on the L2-unit sphere S⊆H01(0,1) is u0(x)=2 sin⁡(πx), the minimum is λ1=π2, and the weak eigenvalue equation is −u0′′=π2u0 with u0(0)=u0(1)=0.

Facts & Assumptions

Given: The interval (0,1), the energy E(u)=∫01u′2 dx on H01(0,1;R), the unit sphere S={u∈H01(0,1):∥u∥L2=1} (The notation Hk and the reserved zero-boundary symbol, Integer-order Sobolev spaces and their norms, Zero-boundary Sobolev space as a norm closure), and u0(x)=2 sin⁡(πx).

[F1]

The sharp Dirichlet Poincare inequality on an interval: with L=1 and ϕ(x)=sin⁡(πx), every u∈H01(0,1) satisfies ∥u∥L2≤π−1∥u′∥L2, the function ϕ attains equality, and ∫01ϕ′v′ dx=π2∫01ϕv dx for every v∈H01(0,1).

[F3]

The second fundamental theorem: if G is differentiable on [a,b] with G′=f and f is integrable, then ∫abf=G(b)−G(a): for every ψ∈Cc∞(0,1), choose 0<a<b<1 with ψ=0 near a,b; applying the fundamental theorem to u0ψ on [a,b] gives ∫01u0ψ′=−∫01u0′ψ. Thus the classical derivative u0′ is also the weak derivative.

[F4]

Explicit compactly supported smooth cutoffs: in dimension one there is χ∈Cc∞(R) with 0≤χ≤1, χ=1 on [−1,1], and χ=0 outside [−2,2]; for every R>0, the dilate χR(x)=χ(x/R) has derivative R−1χ′(x/R). The construction requires no choice.

[F5]

Double-angle and quadratic power-reduction identities, The second fundamental theorem: if G is differentiable on [a,b] with G′=f and f is integrable, then ∫abf=G(b)−G(a), The derivatives of sine and cosine are cosine and minus sine, Integrable functions on [a,b] form a set closed under sums and scalar multiples, and ∫ab(λf+μg)=λ∫abf+μ∫abg, Pi is the first positive zero of sine: sin⁡2t=(1−cos⁡2t)/2 and cos⁡2t=(1+cos⁡2t)/2; sin⁡(π)=sin⁡(2π)=0; and the fundamental theorem of calculus applied to sin⁡(2πx)/(2π) gives ∫01cos⁡(2πx) dx=0, since the integral is linear.

[F6]

The first Dirichlet eigenfunction by constrained minimisation: on a nonempty bounded open set, E attains its infimum λ1 on S, and every minimiser u0 satisfies ∫u0′h′=λ1∫u0h for all h∈H01 with λ1=E(u0).

Verification

technique · direct

Given: The interval, the energy and the function u0 above.

1.1givenF2F3F4F5

The function u0 is smooth on [0,1], with classical derivative u0′(x)=2πcos⁡(πx) by [F2]. For each test function ψ∈Cc∞(0,1), integration of (u0ψ)′ over an interior interval containing its support gives ∫01u0ψ′=−∫01u0′ψ [F3], so u0′ is its weak derivative; both u0 and u0′ are bounded, hence u0∈H1(0,1). Take χ from [F4] and put M=∥χ′∥L∞(R)<∞. For integers m≥5, define ξm(x)=(1−χ(mx))(1−χ(m(1−x))). Then ξm∈Cc∞(0,1), ξm=1 on [2/m,1−2/m], ∥ξm′∥∞≤2Mm, and both 1−ξm and ξm′ are supported in Bm=(0,2/m)∪(1−2/m,1). On Bm, ∣u0(x)∣≤22π/m, while ∣u0′(x)∣≤2π everywhere; since ∣Bm∣≤4/m, these bounds give ∥(1−ξm)u0∥L2→0 and ∥(1−ξm)u0′−ξm′u0∥L2→0. Hence ξmu0→u0 in H1(0,1), and the closure definition of H01 gives u0∈H01(0,1). Finally u0(0)=u0(1)=0 because sin⁡0=sin⁡π=0 [F5].

2.1step 1.1F5

Normalisation and energy: by the power-reduction identities and the vanishing of ∫01cos⁡(2πx) dx [F5], ∫01sin⁡2(πx) dx=12∫01(1−cos⁡(2πx)) dx=12 and ∫01cos⁡2(πx) dx=12; hence ∥u0∥L22=2⋅12=1, so u0∈S, and E(u0)=∫01u0′2=2π2∫01cos⁡2(πx) dx=π2.

3.1step 1.1step 2.1F1

Minimality: for every v∈S the sharp inequality [F1] gives 1=∥v∥L2≤π−1∥v′∥L2, that is E(v)=∥v′∥L22≥π2; since u0∈S with E(u0)=π2 by step 2.1, the infimum over S is the minimum λ1=π2, attained at u0.

4.1step 1.1step 3.1F1F2F5

Weak eigenvalue equation: the weak identity of [F1] for ϕ=sin⁡(πx) scales by 2 to ∫01u0′h′=π2∫01u0h for every h∈H01(0,1), and by [F2] u0′′=−π2u0 classically with u0(0)=u0(1)=0; thus −u0′′=π2u0 holds in the weak sense, with λ1=π2 as the eigenvalue.

5.1step 1.1step 2.1step 3.1step 4.1F1F6∎

Steps 1.1-4.1 exhibit the minimiser, the minimum and the eigenvalue equation explicitly, so the constrained minimisation of [F6] on (0,1) has u0(x)=2sin⁡(πx) as a minimiser with λ1=π2, in agreement with the general statement; the only choice principle consumed by this computation is Countable Choice through the sharp interval inequality [F1].

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An integral constraint and its constant multiplier

Example

Assume the Axiom of Choice (The Axiom of Choice), inherited from the trace and Hilbert multiplier suppliers. On (0,1) minimise J(u)=∫01u′2 dx over u∈H01(0,1) subject to the integral constraint ∫01u dx=A, where A≠0. The minimiser is u0(x)=6A x(1−x) and the Lagrange multiplier of The Lagrange multiplier rule for one regular constraint in Hilbert space, in the convention DJ(u)=λDG(u) with G(u)=∫01u−A, is the constant λ=24A.

Facts & Assumptions

Given: The Axiom of Choice and a real number A≠0, the space H01(0,1) with its weak derivative D and norm (The notation Hk and the reserved zero-boundary symbol, Integer-order Sobolev spaces and their norms, Zero-boundary Sobolev space as a norm closure), the functional J(u)=∫01u′2 dx and the constraint G(u)=∫01u dx−A.

[A1]

The Axiom of Choice, AC implies DC implies countable choice: the assumed Axiom of Choice supplies Dependent and Countable Choice for the integration and trace suppliers.

[F1]

Hk is a Hilbert space under the derivative-sum inner product, A closed subspace of a Banach space is Banach, Zero-boundary Sobolev space as a norm closure, Endpoint trace commutes with Sobolev truncation on an interval, One-dimensional W1,p functions have unique absolutely continuous representatives: for I=(0,1) and p=2, the endpoint trace T is well defined and ker⁡T=W01,2(I)=H01(I); the closure defining H01(I) is a closed linear subspace of the real Hilbert space H1(I), hence complete for the restricted derivative-sum inner product and itself a real Hilbert space; a class in H01(I) has an absolutely continuous representative v∗ on [0,1] with v∗=0 at both endpoints and with (v∗)′=Dv almost everywhere.

[F2]

Classical derivatives agree with weak derivatives: a C1 function on I has its classical derivative as weak derivative; in particular u0 and the affine function 1−2x are weakly differentiable with u0′(x)=6A(1−2x) and (1−2x)′=−2.

[F4]

Integration by parts for absolutely continuous functions: for absolutely continuous F,H on [0,1], ∫01FH′+∫01F′H=F(1)H(1)−F(0)H(0).

[F5]

Fréchet derivative between Banach spaces, Holder's inequality for integrals, including the endpoint cases: for u,h∈H01(0,1) one has J(u+h)−J(u)=2∫01u′h′+∫01(h′)2, and ∣∫01(h′)2∣=∥h′∥22≤∥h∥H012; hence DJ(u)h=2∫01u′h′ with ∥DJ(u)∥≤2∥u′∥2. Similarly G is continuous affine, with bounded linear derivative DG(u)h=∫01h for every u, and ∣DG(u)h∣≤∥h∥2≤∥h∥H01, so G is C1 with this derivative at every point.

[F6]

The Lagrange multiplier rule for one regular constraint in Hilbert space: if u is a local minimiser of J on the level set {G=G(u)} and DG(u)≠0, then there is a unique λ∈R with DJ(u)=λDG(u).

[F7]

Fundamental theorem of calculus for absolutely continuous functions: an absolutely continuous function whose derivative vanishes almost everywhere is constant.

Verification

technique · direct

Given: The Axiom of Choice, the number A≠0, the function u0(x)=6Ax(1−x) on (0,1), and the functionals J and G above.

1.1givenF1F2F3

The polynomial u0 is smooth on [0,1] with u0(0)=u0(1)=0; its class on (0,1) is absolutely continuous with weak derivative u0′=6A(1−2x) by [F2], and its endpoint trace vanishes, so u0∈ker⁡T=H01(0,1) by [F1]. Moreover ∫01u0 dx=6A∫01(x−x2) dx=6A(1/2−1/3)=A by [F3], so u0 is admissible.

2.1givenstep 1.1F5

For every h∈H01(0,1) the derivative formulae are DJ(u0)h=2∫01u0′h′ and DG(u)h=∫01h by [F5]; in particular DG(u0) is a nonzero bounded functional, because DG(u0)u0=A≠0 by step 1.1, so the constraint is regular.

3.1step 1.1step 2.1F1F2F4algebra

We compute 2∫01u0′h′=24A∫01h for every h∈H01(0,1): by [F1] the absolutely continuous representative h∗ vanishes at both endpoints and (h∗)′=Dh, so [F4] applied to F=1−2x and H=h∗ gives ∫01(1−2x)Dh=−∫01(−2)h=2∫01h; multiplying by 6A gives ∫01u0′h′=12A∫01h, hence the displayed identity. Thus DJ(u0)=24A DG(u0).

4.1step 3.1F5algebra

Let v∈H01(0,1) satisfy the constraint ∫01v dx=A; then h:=v−u0∈H01(0,1) by step 1.1, and [F5] gives J(v)=J(u0)+2∫01u0′h′+∫01(h′)2=J(u0)+24A∫01h+∥h′∥22=J(u0)+∥h′∥22 by step 3.1, because ∫01h=0; hence J(v)≥J(u0), with equality exactly when ∥h′∥2=0.

5.1step 1.1step 2.1step 3.1step 4.1A1F1F6F7∎

If ∥h′∥2=0, then h has weak derivative 0, so its absolutely continuous representative is constant by [F7] and [F1]; that constant is h∗(0)=0 because h∈H01(0,1) has vanishing trace, so h=0 and v=u0. Therefore u0 is the unique admissible minimiser, in particular a local minimiser, and the multiplier rule [F6] applies with the regular constraint G; comparing its conclusion DJ(u0)=λDG(u0) with the identity of step 3.1 and the fact that DG(u0)≠0 gives the unique multiplier λ=24A. This proves the example.

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The L^2 unit sphere is not weakly sequentially closed in infinite dimensions

Statement refuted

Refuted: that the unit sphere S={u∈H:∥u∥=1} of an infinite-dimensional real Hilbert space H is weakly sequentially closed — equivalently, that norm closedness and norm boundedness of a subset of a Hilbert space force weak sequential closedness (Weak convergence of nets and sequences).

Assume the Axiom of Choice (The Axiom of Choice). The witness works in every infinite-dimensional real Hilbert space, for instance H=ℓ2(N;R) (Hilbert space). There S is norm closed and norm bounded, yet an orthonormal sequence (ej)⊆S satisfies ej⇀0 while 0∉S, so S is not weakly sequentially closed. In particular the direct method for minimisation cannot be applied to the unit sphere by weak closedness alone; the repair used for the eigenvalue problems below is the strong L2 compactness of Weak H^1 convergence plus Rellich preserves the L^2 unit normalisation. By Weak closure of the unit sphere is the closed unit ball (which assumes the Hahn–Banach extension principle, available under our Axiom of Choice hypothesis through Hahn-Banach dominated extension theorem for real vector spaces) the weak closure of S is exactly the closed unit ball of H.

Facts & Assumptions

Given: An infinite-dimensional real Hilbert space H (assumed to admit no ordered basis of finite length), with the Axiom of Choice available.

[A1]

The Axiom of Choice, The Axiom of Countable Choice (ACω), AC implies DC implies countable choice: the Axiom of Choice implies Countable Choice, so the countable-selection and maximal-family suppliers below apply.

[F1]

Existence of a maximal orthonormal family, and maximality as completeness: H contains an orthonormal set maximal under inclusion, and an orthonormal set is maximal exactly when it is complete, that is, when its closed linear span is H (Orthonormal families, complete orthonormal systems and Hilbert bases).

[F2]

A finite-dimensional normed subspace is closed, Basis of a vector space: a linearly independent spanning subset; and ordered basis: an injective finite list whose image is a basis: the linear span of a finite set is finite dimensional and closed in H, so if a complete orthonormal set were finite, its span would already be the closed linear span and H would admit an ordered basis of finite length.

[F3]

The infinite set B admits a sequence of distinct elements under the Axiom of Choice; the finite-tuple recursion establishing this fact is given in step 3.1.

[F4]

Orthonormal families, complete orthonormal systems and Hilbert bases: a subset of an orthonormal family is orthonormal; in particular ∥ej∥=1 and ⟨ei,ej⟩=0 for i≠j.

[F5]

The Bessel inequality for an arbitrary orthonormal family: for every y∈H the family (∣⟨y,ej⟩∣2)j has finite sum ∑j∣⟨y,ej⟩∣2≤∥y∥2.

[F6]

Riesz representation for Hilbert spaces: every bounded linear functional f on H has the form f(x)=⟨x,yf⟩ for a unique yf∈H.

[F7]

Weak convergence of nets and sequences: ej⇀0 means f(ej)→0 for every bounded linear functional f.

Counterexample

technique · direct

Given: An infinite-dimensional real Hilbert space H and the unit sphere S={u∈H:∥u∥=1}.

1.1A1F1

By [F1] choose a maximal, equivalently complete, orthonormal set B⊆H.

2.1step 1.1F1F2

The set B is infinite: were B finite, its linear span would be finite dimensional and closed by [F2], and completeness would force it to equal the closed linear span of B, namely H; then H would admit an ordered basis of finite length, contrary to the hypothesis.

3.1step 2.1A1F3F4

Let T be the nonempty set of all finite tuples of distinct elements of B, including the empty tuple. Every tuple has an extension by one new element because its range is finite and B is infinite. The Axiom of Choice in [A1] selects one such extension for each tuple in T. Starting with the empty tuple, iterate this fixed extension function recursively over N; the successive appended elements give distinct ej∈B. This proves [F3] locally. By [F4], (ej) is orthonormal, so ∥ej∥=1 and ej∈S for every j.

4.1step 3.1F5F6F7

We claim ej⇀0. Fix y∈H; by Bessel's inequality [F5] the series ∑j∣⟨ej,y⟩∣2 has finite sum, so its terms tend to 0, that is ⟨ej,y⟩→0. Given a bounded linear functional f, write f(x)=⟨x,yf⟩ by [F6]; then f(ej)=⟨ej,yf⟩→0, which by the definition of weak convergence [F7] is exactly ej⇀0.

5.1step 3.1step 4.1F8F4∎

The set S is norm closed, because S is the preimage of the closed singleton {1} under the continuous norm [F8], and it is norm bounded because ∥u∥=1 for every u∈S. Since ej∈S for every j by step 3.1 while 0∉S because ∥0∥=0≠1, and ej⇀0 by step 4.1, the sphere S is not weakly sequentially closed; the refuted claim is therefore false.

Remarks

  • The weak closure is much larger than S: by Weak closure of the unit sphere is the closed unit ball it is the closed unit ball B={u:∥u∥≤1}, which contains 0 and every point of the open unit ball. The maximal orthonormal family used above exists in every Hilbert space under the Axiom of Choice; on the concrete space ℓ2(N;R) the standard basis itself is the orthonormal sequence (The standard basis of ℓ2(N)), and no maximal-family argument is needed.

  • Why compactness replaces closedness. A bounded sequence in an infinite-dimensional Hilbert space need not have a strongly convergent subsequence, but Weak H^1 convergence plus Rellich preserves the L^2 unit normalisation shows that weak H01 convergence plus Rellich compactness nevertheless preserves the L2 normalisation along a subsequence, which is the substitute used in the eigenvalue problems of this page.

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A one-dimensional obstacle problem and its contact set

Example

Assume the Axiom of Choice, which supplies Countable and Dependent Choice (The Axiom of Choice, AC implies DC implies countable choice). Let Ω=(−1,1), a(u,v)=∫−11uxvx dx, F=0, and ψ(x)=ε−12x2 with 0<ε<12. By Endpoint trace commutes with Sobolev truncation on an interval, Tψ=(ε−12,ε−12)≤(0,0). Then the obstacle solution of Existence and uniqueness for the obstacle problem on K={v∈H01(−1,1):v≥ψ} is u(x)={ε−12x2,∣x∣≤t,t(1−∣x∣),t≤∣x∣≤1,t=1−1−2ε∈(0,1). The contact set is {u=ψ}=[−t,t], the noncontact set is {∣x∣>t}, and u is the admissible competitor whose slopes match the obstacle at the free boundary points: u′(±t)=ψ′(±t)=∓t.

Facts & Assumptions

Given: The interval (−1,1), the form a(u,v)=∫−11u′v′ dx, F=0, the energy J(v)=12∫−11∣v′∣2 dx, the obstacle ψ(x)=ε−12x2 with 0<ε<12, the admissible set K of The closed convex obstacle set and the obstacle variational inequality, and t=1−1−2ε.

[F1]

The closed convex obstacle set and the obstacle variational inequality, Existence and uniqueness for the obstacle problem: K={v∈H01(−1,1):v≥ψ a.e.} is nonempty and J has exactly one minimiser on K, which is the unique solution of the obstacle variational inequality; the form a is symmetric and J(u+q)=J(u)+a(u,q)+12a(q,q) for all u∈K, q∈H01(−1,1).

[F2]

Endpoint trace commutes with Sobolev truncation on an interval, One-dimensional W1,p functions have unique absolutely continuous representatives: the endpoint trace T is the endpoint pair of the unique absolutely continuous representative, ker⁡T=W01,2(−1,1)=H01(−1,1), and every class in H01(−1,1) has an absolutely continuous representative on [−1,1] vanishing at ±1 whose derivative equals the weak derivative almost everywhere. The continuous function ψ is its own absolutely continuous representative, so Tψ=(ψ(−1),ψ(1))=(ε−12,ε−12).

[F3]

AC implies DC implies countable choice: the Axiom of Choice implies Dependent Choice, which implies Countable Choice.

[F4]

Integration by parts for absolutely continuous functions: for absolutely continuous F,G on [−1,1], ∫−11FG′+∫−11F′G=F(1)G(1)−F(−1)G(−1).

[F5]

Classical derivatives agree with weak derivatives, Sums, scalar multiples, products and quotients: (f+g)′(c)=f′(c)+g′(c), (αf)′(c)=αf′(c), (fg)′(c)=f′(c)g(c)+f(c)g′(c), and (f/g)′(c)=(f′(c)g(c)−f(c)g′(c))/g(c)2 when g(c)≠0: the classical derivatives of the C1 pieces below are the corresponding weak derivatives, and ψ′(x)=−x; a continuous function on [−1,1] that is C1 on the pieces ∣x∣<t and t<∣x∣<1 with matching one-sided derivatives is C1 on [−1,1], hence absolutely continuous.

[F6]

Fundamental theorem of calculus for absolutely continuous functions: an absolutely continuous function with vanishing derivative almost everywhere is constant.

[F7]

Coercivity of the principal Dirichlet form: on the bounded interval, the model principal form a(v,v)=∥v′∥22 is bounded and coercive with respect to the H1 norm; thus the form hypotheses of [F1] hold.

Verification

technique · direct

Given: The data above, in particular ε∈(0,1/2) and t=1−1−2ε.

1.1givenF5F7algebra

By [F7] the principal form is bounded and coercive. Put s:=1−2ε, so 0<s<1 and t=1−s∈(0,1); from s2=1−2ε one gets ε=12(1−s2)=12(1−s)(1+s)=12t(2−t)=t−12t2, hence ψ(±t)=ε−12t2=t−t2=t(1−t) and ψ′(±t)=∓t.

2.1step 1.1F2F5

Define u(x)=ε−12x2 for ∣x∣≤t and u(x)=t(1−∣x∣) for t≤∣x∣≤1. At x=±t the two formulas agree by step 1.1, and the one-sided derivatives agree as well because the inner derivative is ψ′(x)=−x with ψ′(±t)=∓t and the outer derivative is ∓t; hence u is C1 on [−1,1] by [F5], with ∣u′∣≤max⁡{t,1}=1 and u(±1)=0. Therefore u∈H1(−1,1) with weak derivative u′ and Tu=(0,0), so u∈ker⁡T=H01(−1,1) by [F2]. Finally u−ψ=0 on [−t,t], while for t≤∣x∣≤1 one has u(x)−ψ(x)=t(1−∣x∣)−ε+12x2=12(∣x∣−t)2 by step 1.1; hence u≥ψ on (−1,1) with equality exactly on [−t,t], so u∈K and {u=ψ}=[−t,t].

3.1step 2.1F2F4

The derivative u′ equals t on (−1,−t), −x on (−t,t) and −t on (t,1); it is continuous and piecewise affine, hence Lipschitz and absolutely continuous on [−1,1], with u′′=0 a.e. on (−1,−t)∪(t,1) and u′′=−1 a.e. on (−t,t). Let v∈K and let q:=v−u be represented by its absolutely continuous representative vanishing at ±1, which exists by step 2.1 and [F2]. Applying integration by parts [F4] to F=q and G=u′ gives ∫−11q′u′+∫−11qu′′=q(1)u′(1)−q(−1)u′(−1)=0, that is ∫−11u′q′=∫−ttq dx.

4.1step 2.1F1

Since v∈K one has v≥ψ a.e. on (−1,1) [F1], and u=ψ on [−t,t] by step 2.1, so the representative q=v−u of step 3.1 satisfies q≥0 a.e. on (−t,t) and ∫−ttq dx=∫−tt(v−ψ) dx≥0.

5.1step 3.1step 4.1F1algebra

For every v∈K, [F1] expands J(v)−J(u)=a(u,q)+12a(q,q)=∫−11u′q′+12∫−11∣q′∣2 with q=v−u; by steps 3.1 and 4.1 this equals 12∫−11∣q′∣2+∫−tt(v−ψ) dx≥0. Hence u minimises J on K.

6.1step 3.1step 5.1F2F6

If v∈K satisfies J(v)=J(u), then both nonnegative terms in step 5.1 vanish, so ∫−11∣q′∣2=0 and q′=0 a.e.; the absolutely continuous representative of q is then constant by [F6], and its endpoint values Tq=(0,0) (it lies in H01(−1,1)) force that constant to be 0. Hence q=0 a.e. and v=u: the minimiser is unique.

7.1step 1.1step 2.1step 5.1step 6.1F1F2F3F4∎

By [F1] the obstacle problem has exactly one minimiser on K and it is the unique solution of the variational inequality; steps 4.1 and 5.1 identify this minimiser with the explicit u, so u is the obstacle solution. Step 2.1 gives the contact set {u=ψ}=[−t,t] and the noncontact set {t<∣x∣<1}, and step 1.1 gives the matching slopes u′(±t)=∓t=ψ′(±t) at the free boundary. The Axiom of Choice enters through the obstacle setting and the trace lemma [F1, F2], and it supplies the Countable and Dependent Choice consumed by the integration by parts [F3, F4]; no further choice principle is used.

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The complementarity product needs extra regularity

Statement refuted

Refuted: that for every open Ω⊆Rn, every u∈H1(Ω;R) and every nonnegative Radon measure μ on Ω (Radon measure on an LCH space, Integer-order Sobolev spaces and their norms) the product u⋅μ is a well-defined distribution on Ω by the formula φ↦∫Ωuφ dμ. This is the unrestricted class-level product claim; the obstacle corollaries impose continuity or L2 representation to define their products (Obstacle complementarity in distribution form, The obstacle reaction is supported on the contact set under measure regularity).

Assume the Axiom of Choice (The Axiom of Choice), inherited from the ACL supplier. In dimension n=2 the function u(x)=log⁡log⁡(1/∣x∣), extended by a constant outside a neighbourhood of 0, lies in H1(B1/2(0)) but is unbounded near 0, so it has no continuous representative there. For the nonnegative Radon measure μ=δ0 the calculation of the pairing φ↦∫uφ dμ requires a representative and returns 0⋅φ(0) or 1⋅φ(0) for two representatives of the same class; changing the value at the single point 0 changes the result, so the product u⋅μ is not a well-defined distribution. In contrast, the multiplication of a distribution by a smooth function is well-defined (Multiplication of a distribution by a smooth function), because a smooth multiplier carries genuine pointwise values. The Dirac measure in this witness is not asserted to be the reaction of an obstacle solution; the witness refutes multiplication by arbitrary Radon measures from the Sobolev class alone.

Facts & Assumptions

Given: The Axiom of Choice, inherited from the ACL supplier, and the open ball B:=B1/2(0)⊆R2 (Open ball, closed ball and sphere in a metric space), the function u:B→R with u(x)=log⁡log⁡(1/∣x∣) for 0<∣x∣<1/4, u(x)=log⁡log⁡4 for 1/4≤∣x∣<1/2, and u(0):=0; the Dirac measure μ=δ0 on B (The Dirac set function at a point).

[F1]

Polar coordinates decompose Lebesgue measure into r^{n-1} dr d sigma: the polar surface measure σ is a finite Borel measure on S1 and ∫R2f dλ2=∫0∞∫S1f(rω)r dσ(ω) dr for every Borel measurable f≥0; a radial integrand gives an inner integral r f(r) σ(S1).

[F2]

Change of variable in an improper integral, The improper p-test for rational exponents, Comparison tests for improper integrals, The exponential dominates every fixed nonnegative integer power at +∞: the monotone substitution r=e−t exchanges ∫01/4g(r) dr with ∫log⁡4∞g(e−t)e−t dt whenever either side converges; ∫1∞t−2 dt converges with value 1; and for every prescribed polynomial growth there is T0 with e2t≥t4 for t≥T0, so (log⁡t)2e−2t≤t−2 for large t because log⁡t≤t there.

[F4]

The ACL characterisation of W1,p, The space Lp(μ) as the quotient by null functions: a class in L2(Ω) lies in H1(Ω)=W1,2(Ω) if and only if it has a measurable ACL representative whose classical coordinate derivatives exist almost everywhere, are measurable, and lie in L2(Ω).

[F6]

Euclidean balls have positive finite Lebesgue measure, Every at most countable subset of Rn is Lebesgue null; in particular λ1(Q)=0, Assuming countable choice, L(Rn) is a sigma-algebra containing every elementary set and λn is a complete measure extending elementary volume: a Euclidean ball has positive finite Lebesgue measure, singletons are Lebesgue-null, and Lebesgue measure is additive on disjoint measurable sets, so a punctured ball Bρ(0)∖{0} has positive measure.

[F7]

A Dirac set function is a probability measure, The Dirac set function at a point, A nonnegative integral over a null set vanishes, Measure-null sets and almost-everywhere statements relative to a measure, Radon measure on an LCH space: δ0 is a probability measure on B with δ0({0})=1 and δ0(B∖{0})=0, so B∖{0} is δ0-null. For a finite-valued Borel measurable real or complex f, the function f−f(0) vanishes at 0 and its absolute value has integral 0 over B, by the null-set integral principle on B∖{0}. Thus f is δ0-integrable and ∫f dδ0=f(0)δ0(B)=f(0). It is a Radon measure: δ0(K)≤1 on compact sets, and for open U one has δ0(U)=1 if 0∈U (witnessed by the compact set {0}⊆U) and δ0(U)=0 otherwise, while for Borel E the same alternatives give outer regularity.

[F8]

Test function cutoffs and euclidean localization: there is φ∈Cc∞(B) with 0≤φ≤1 and φ=1 on a neighbourhood of 0, in particular φ(0)=1.

Counterexample

technique · direct

Given: The Axiom of Choice and the ball B=B1/2(0) and the function u of the setting above.

1.1given

The function u is continuous on B∖{0}: there ∣x∣ is continuous and positive, so x↦log⁡log⁡(1/∣x∣) is continuous on the punctured inner ball, and u equals the constant log⁡log⁡4 on the outer annulus, with matching limiting value at ∣x∣=1/4. Moreover log⁡log⁡(1/r)→+∞ as r↓0, because log⁡(1/r)→+∞ and log⁡s→+∞ as s→+∞; hence for every M there is ρ∈(0,1/4) with u(x)>M whenever 0<∣x∣<ρ.

1.2givenstep 1.1F1F2F3F6

For x≠0, rationalising the norm difference gives (∣x+tei∣−∣x∣)/t=(2xi+t)/(∣x+tei∣+∣x∣)→xi/∣x∣ as t→0, hence ∂i∣x∣=xi/∣x∣. On the punctured inner ball 0<∣x∣<1/4 the chain rule [F3] gives ∂iu(x)=ddrlog⁡log⁡(1/r)∣r=∣x∣⋅xi∣x∣=−xi∣x∣2log⁡(1/∣x∣), so ∣Du∣(x)=1∣x∣log⁡(1/∣x∣); on 1/4<∣x∣<1/2 the gradient vanishes. The joining circle is Lebesgue-null by [F1] applied to its indicator, since the radial integral is supported at r=1/4; the origin is null by [F6]. Define the gradient to be zero on these exceptional sets. By polar coordinates [F1], the substitution r=e−t [F2] and the convergence facts there, ∫Bu2 dx=σ(S1)∫01/4(log⁡log⁡(1/r))2 r dr+O(1)=σ(S1)∫log⁡4∞(log⁡t)2e−2t dt+O(1)<+∞, ∫B∣Du∣2 dx=σ(S1)∫01/4drrlog⁡2(1/r)=σ(S1)∫log⁡4∞t−2 dt=σ(S1)log⁡4<+∞, the first integral converging because (log⁡t)2e−2t≤t−2 for all large t and the remaining compact piece is finite. Hence u∈L2(B) and its classical gradient lies in L2(B).

2.1step 1.2F4

The function u is Borel measurable, since it is continuous on the open set B∖{0}; along almost every coordinate line — all lines except the single line through 0 in each of the two coordinate directions — the section is continuous and piecewise C1 with bounded derivatives on each compact subinterval away from 0 (the joining circle meets a coordinate line in at most two points), hence Lipschitz and absolutely continuous there, and the exceptional lines form a null set. By step 1.2 the classical coordinate derivatives exist almost everywhere, are measurable and lie in L2(B), so the ACL characterisation [F4] gives u∈H1(B) and identifies Du with the classical gradient almost everywhere.

2.2step 1.1F5F6

The class of u has no continuous representative. Suppose w:B→R were continuous with w=u almost everywhere. On the compact ball B‾1/8(0) the function w is bounded, say ∣w∣≤M [F5]. By step 1.1 choose ρ∈(0,1/8) with u(x)>M+1 for all 0<∣x∣<ρ; the punctured ball Bρ(0)∖{0} has positive Lebesgue measure [F6], so it contains a point x with w(x)=u(x)>M+1, contradicting ∣w∣≤M.

3.1step 2.1F4F6

The functions w1:=u and w2:=u+1{0} (that is, w2(0)=1 and w2(x)=u(x) for x≠0) are both representatives of the same L2 class, because they differ only on the Lebesgue-null singleton {0} [F6, F4].

4.1step 3.1F7F8

By [F7], μ=δ0 is a nonnegative Radon measure on the locally compact space B and ∫f dδ0=f(0); let φ∈Cc∞(B) with φ(0)=1 be the cutoff of [F8]. Evaluating the formula φ↦∫Buφ dμ with the representative w1 gives w1(0)φ(0)=0, while evaluating it with w2 gives w2(0)φ(0)=1; the two candidates differ by the nonzero distribution φ↦φ(0). Hence the formula is not independent of the representative of the H1 class, and no distribution u⋅μ is defined by it: the product is not a well-defined distribution of the class u alone.

5.1step 2.2step 4.1F7F8∎

Consequently an H1 class alone does not define its product with an arbitrary Radon measure. Sufficient hypotheses supplied by the obstacle corollaries are continuity of the representatives, as in The obstacle reaction is supported on the contact set under measure regularity, or the L2 representation of the reaction, as in clause 2 of Obstacle complementarity in distribution form; neither follows from u∈H1 (and the class here has no continuous representative by step 2.2). This contrasts with Multiplication of a distribution by a smooth function, where the multiplier is a genuine function and the product is representative-independent.

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The obstacle admissible set can be empty when trace and obstacle are incompatible

Statement refuted

Refuted: that after omitting the trace-compatibility hypothesis Tψ≤0 from The closed convex obstacle set and the obstacle variational inequality, the set Kψ={v∈H01(Ω;R):v≥ψ a.e.} is automatically nonempty for every real ψ∈H1(Ω). The definition itself retains that hypothesis and has the admissible element ψ+; 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 I=(−1,1) with the incompatible obstacle datum ψ≡1 (Endpoint trace commutes with Sobolev truncation on an interval). If v∈K, the unique absolutely continuous representative v∗ satisfies v∗≥1 at every point of [−1,1]: a strict violation at one point would, by continuity, persist on an interval of positive measure, contradicting v≥1 almost everywhere. But v∈H01(I) has zero endpoint trace, Tv=(0,0), so v∗(−1)=v∗(1)=0, a contradiction. Hence K=∅, and boundary compatibility (Tψ≤0 in the sense of the definition) is necessary for nonemptiness. [The obstacle ψ≡1 satisfies Tψ=(1,1)≰(0,0).]

Facts & Assumptions

Given: The interval I=(−1,1), the incompatible obstacle datum ψ≡1, and the admissible set K={v∈H01(I):v≥1 a.e.}.

[F1]

Endpoint trace commutes with Sobolev truncation on an interval: for I=(−1,1) and p=2, T is well defined and linear with ker⁡T=H01(I); a class v∈H01(I) therefore has endpoint trace Tv=(0,0).

[F2]

One-dimensional W1,p functions have unique absolutely continuous representatives: every v∈H1(I) has a unique continuous absolutely continuous representative v∗ on [−1,1], and the endpoint trace is Tv=(v∗(−1),v∗(1)).

[F3]

The closed convex obstacle set and the obstacle variational inequality: the definition requires Tψ≤0 before defining its admissible set. Here the same set formula is used for arbitrary real H1 data, without imposing that compatibility condition; ψ≡1 is outside the definition's permitted obstacles.

Counterexample

technique · direct

Given: The interval I=(−1,1), the incompatible obstacle datum ψ≡1 and the set K above; suppose, towards the case analysis, that v∈K.

1.1givenF2

Since v≥1 almost everywhere and v∗ is continuous with v∗=v almost everywhere [F2], the representative v∗ satisfies v∗(x)≥1 for every x∈[−1,1]: if v∗(x0)<1 at some point, then by continuity v∗<1 on the intersection of I with a sufficiently small interval about x0, which has positive measure even when x0 is an endpoint, contradicting v≥1 a.e.

2.1step 1.1F1F2

On the other hand v∈H01(I)=ker⁡T by the definition of K and [F1, F3], and the endpoint trace of the class is read from its absolutely continuous representative, so Tv=(v∗(−1),v∗(1))=(0,0) [F2]. This contradicts step 1.1, which gives v∗(−1)≥1 and v∗(1)≥1.

3.1step 2.1givenF1F3∎

More generally, if ψ∈H1(I) and v∈H01(I) obeys v≥ψ a.e., then (ψ−v)+=0 as a class, so [F1] gives (Tψ−Tv)+=T((ψ−v)+)=0. Since Tv=0, necessarily Tψ≤(0,0). No v satisfies both requirements of membership in K, so K=∅. Since Tψ=(1,1)≰(0,0), this is exactly the failure of the boundary compatibility hypothesis of [F3]; hence that hypothesis (equivalently ψ+∈H01(I)) is necessary for the admissible set to be nonempty.

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Dependent equality constraints have nonunique multiplier vectors

Statement refuted

Refuted: that the multiplier vector produced by the Lagrange multiplier rule is unique without any independence hypothesis on the constraint derivatives — equivalently, that the conclusion of The multiplier vector is unique when the constraint gradients are independent remains true when surjectivity of DG(u) is dropped.

The witness is the finite-dimensional problem X=R2, G(x,y)=(x,2x) and I(x,y)=x2+y2 (The Lagrange multiplier rule for finitely many regular constraints, Fréchet derivative between Banach spaces). On the level set G=0, which is the y-axis, the point u=(0,0) is the strict global minimiser of I, and DI(u)=0, while DG1(u)=(1,0) and DG2(u)=(2,0) are linearly dependent, so DG(u) is not surjective. The stationarity equation DI(u)=λ1DG1(u)+λ2DG2(u) holds exactly for the pairs with λ1+2λ2=0, a one-parameter family of multiplier vectors. Hence surjectivity of DG(u), equivalently independence of the constraint gradients, is what makes the multiplier unique.

Facts & Assumptions

Given: The maps G:R2→R2, G(x,y)=(x,2x), and I:R2→R, I(x,y)=x2+y2, with components G1(x,y)=x, G2(x,y)=2x, and the point u=(0,0).

[F1]

Fréchet derivative between Banach spaces: I and the components G1,G2 are differentiable everywhere with DI(x,y)=(2x,2y) as a linear functional, DG1≡(1,0) and DG2≡(2,0), and DG(x,y):R2→R2 is the linear map (ξ,η)↦(ξ,2ξ).

[F2]

The Lagrange multiplier rule for finitely many regular constraints, The multiplier vector is unique when the constraint gradients are independent: the multiplier rule asserts the existence of multipliers when DG(u) is surjective, and the uniqueness lemma shows that surjectivity is precisely the hypothesis that rules out the degeneracy exhibited here.

Counterexample

technique · direct

Given: The maps and point above.

1.1givenF1

The level set {G=G(u)}={(x,y):x=0} is the y-axis, and I(0,y)=y2≥0 with equality only for y=0; hence u=(0,0) is the strict global minimiser of I on the level set.

1.2givenF1

The derivatives at u are DI(u)=(0,0)=0, DG1(u)=(1,0) and DG2(u)=(2,0) by [F1]; the map DG(u):(ξ,η)↦(ξ,2ξ) has image {(a,2a):a∈R}≠R2, so DG(u) is not surjective, and DG2(u)=2 DG1(u) shows that the two constraint gradients are linearly dependent.

2.1step 1.2F1algebra

A pair (λ1,λ2)∈R2 satisfies λ1DG1(u)+λ2DG2(u)=DI(u) exactly when (λ1+2λ2,0)=(0,0), that is, exactly when λ1+2λ2=0; the solution set is the line of all pairs (−2t,t), t∈R, a one-parameter family.

3.1step 1.1step 1.2step 2.1F2∎

The stationarity equation therefore holds for infinitely many multiplier vectors although the constrained minimiser is unique, so the claim that uniqueness of the multiplier follows from stationarity alone is false; the uniqueness statement of [F2] genuinely requires the surjectivity, equivalently the independence, hypothesis.

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The one-dimensional obstacle reaction is supported on the contact set

Example

Assume the Axiom of Choice and Countable Choice (The Axiom of Choice, The Axiom of Countable Choice (ACω)), inherited from the obstacle example. In A one-dimensional obstacle problem and its contact set, the solution u lies in H2(−1,1) with u′′=ψ′′=−1 on (−t,t) and u′′=0 on the noncontact set {t<∣x∣<1}. The reaction distribution Λ(φ)=∫−11u′φ′ dx=−∫−11u′′φ dx of Obstacle complementarity in distribution form equals ∫−111[−t,t]φ dx: it is represented by the nonnegative density 1{u=ψ}, has mass 2t, and has no atom at the free boundary points ±t because u′ is continuous there.

Facts & Assumptions

Given: The obstacle example A one-dimensional obstacle problem and its contact set with Ω=(−1,1), 0<ε<1/2, t=1−1−2ε∈(0,1), the obstacle ψ(x)=ε−x2/2, the solution u(x)=ψ(x) for ∣x∣≤t and u(x)=t(1−∣x∣) for t≤∣x∣≤1, and the reaction Λ(φ)=a(u,φ)=∫−11u′φ′ dx on test functions (Distribution, Test function space d of an open set, Distributional derivative).

[F1]

A one-dimensional obstacle problem and its contact set: u is the unique obstacle solution on K={v∈H01(−1,1):v≥ψ}; it is C1 on [−1,1] with u′(x)=t for x∈(−1,−t), u′(x)=−x for x∈(−t,t), u′(x)=−t for x∈(t,1), and its slopes match the obstacle at ±t; the contact set is {u=ψ}=[−t,t].

[F2]

Classical derivatives agree with weak derivatives, Integer-order Sobolev spaces and their norms: the classical derivative of a C1 function is its weak derivative, and H2(−1,1) consists of the classes in L2 with first and second weak derivatives in L2.

[F3]

Integration by parts for absolutely continuous functions: for absolutely continuous F,G on [−1,1], ∫−11FG′=−∫−11F′G+F(1)G(1)−F(−1)G(−1).

[F4]

Obstacle complementarity in distribution form: the reaction of the solution is the distribution Λ(φ)=a(u,φ)−∫Ωfφ on Cc∞(−1,1), here with f=0.

[F5]

Every at most countable subset of Rn is Lebesgue null; in particular λ1(Q)=0, A nonnegative integral over a null set vanishes: countable subsets of R are Lebesgue-null and the integral of a nonnegative measurable function over a null set vanishes; for φ∈Cc∞(−1,1) the pairing against the density 1[−t,t] is ∫{−t,t}1[−t,t]φ dx=0.

[F6]

The space Lp(μ) as the quotient by null functions: 1[−t,t] is an L∞, hence L2, class determined up to null sets, and the pairing ∫1[−t,t]φ dx depends only on this class.

Verification

technique · direct

Given: The explicit solution u and the reaction functional Λ above.

1.1givenF1F2F3

By [F1] the derivative u′ equals t on (−1,−t), −x on (−t,t) and −t on (t,1); it is continuous and piecewise affine on [−1,1] with matching one-sided values, hence Lipschitz and absolutely continuous, and its a.e. derivative is u′′=0 on (−1,−t)∪(t,1) and u′′=−1 on (−t,t). For each compactly supported smooth test φ, [F3] gives ∫u′φ′=−∫u′′φ, proving that this a.e. derivative is the weak derivative of u′. Since u′′∈L∞(−1,1)⊆L2(−1,1), [F2] gives u∈H2(−1,1) with weak second derivative u′′; in particular u′′=ψ′′=−1 on the contact interval and u′′=0 on the noncontact set.

2.1step 1.1F3F4

For every φ∈Cc∞(−1,1) integration by parts [F3] applied to the absolutely continuous u′ and the smooth compactly supported φ gives Λ(φ)=∫−11u′φ′ dx=−∫−11u′′φ dx, the endpoint terms vanishing because φ is compactly supported; by step 1.1 the right-hand side equals ∫−ttφ dx=∫−111[−t,t]φ dx. Hence the reaction is represented by the density 1[−t,t] on all test functions.

3.1step 2.1F5F6

The density 1[−t,t] is nonnegative and lies in L∞(−1,1)⊆L2(−1,1) [F6]; its total mass is ∫−111[−t,t] dx=2t. Since the free boundary points ±t form a Lebesgue-null set, the pairing against 1[−t,t] assigns them value zero, so the reaction has no atom at ±t; concretely ∫{−t,t}1[−t,t]φ dx=0 for every test function by [F5].

4.1step 1.1step 2.1step 3.1∎

Steps 1.1, 2.1 and 3.1 prove all the asserted properties: u∈H2(−1,1) with u′′=−1 on (−t,t) and u′′=0 on the noncontact set, the reaction Λ(φ)=∫u′φ′=−∫u′′φ is represented by the nonnegative density 1{u=ψ}=1[−t,t], its mass is 2t, and it gives the Lebesgue-null set {−t,t} the value 0, because the continuous derivative u′ produces no boundary contribution at the free boundary points in the integration by parts.

Sources