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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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