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TheoremStatement: AI-adaptedProof: AI-generatedPipeline-generatedprecheck pendingverified 2026-10-23 (gpt-6.1-sol)
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Vector Rankine–Hugoniot condition

Statement

Assume the Axiom of Countable Choice (ACω).

Let I⊆R be open, Ω⊆Rd be open, O⊆Rm be open and convex, and Fj∈C1(O;Rm). Let n∈Rd have ∣n∣=1, let s∈R, and let Σ={(t,x)∈I×Ω:n⋅x=st}. Suppose U is piecewise C1 across Σ, satisfies ∂tU+∑j∂xj(Fj(U))=0 pointwise on both open sides, and U,Fj(U)∈Lloc1. With [G]=GR−GL, the distributional residual is ∂tU+∑j=1d∂xjFj(U)=(∑j=1dnj[Fj(U)]−s[U])δΣ, Here spatial plane measure means the pushforward of Lebesgue measure λd−1 by z↦Ez+stn, where E:Rd−1→n⊥ is any linear isometry onto n⊥. Explicitly, ⟨AδΣ,φ⟩=∫I∫{z:Ez+stn∈Ω}A(t,Ez+stn)⋅φ(t,Ez+stn) dλd−1(z) dt. For d=1, R0={0} and λ0({0})=1. This definition is independent of E and specifies the normalization without Hausdorff-measure notation. Consequently, U solves the conservation system in distributions if and only if s[U]=∑j=1dnj[Fj(U)]at every point of Σ. This is a vector equality; no division by the vector jump is made.

Facts & Assumptions

Given: Countable Choice; the open cylinder, fluxes, planar interface, piecewise C1 field, and classical equations on the two open sides in the Statement.

[F1]

Planar shocks and piecewise smooth traces defines Σ, its open sides, the one-sided traces UL,UR, and [G]=GR−GL. The side fields have C1 extensions near each interface point.

[F2]

Distributional systems and entropy flux pairs defines the distributional residual by its action on compactly supported smooth vector tests; the derivative convention pairs a derivative with the negative test derivative.

[F3]

Distributional derivative defines ⟨∂jT,φ⟩=−⟨T,∂jφ⟩ for a distribution T.

[F4]

A linear map T of Rn sends Lebesgue measurable sets to Lebesgue measurable sets, with λn(T[E])=∣det⁡T∣ λn(E) when T is invertible and T[E] Lebesgue null when it is not: under Countable Choice, every invertible linear map T:RN→RN maps Lebesgue measurable sets E to measurable sets T[E] and satisfies λN(T[E])=∣det⁡T∣λN(E).

[F5]

Fubini's theorem for L^1 functions on a sigma-finite product permits the iterated integrals of an integrable function on a sigma-finite product space.

[F6]

The integral of a nonnegative simple function defines the integral of a nonnegative simple function g=∑ici1Ei as ∑iciλ(Ei) for disjoint measurable level sets Ei.

[F7]

The nonnegative Lebesgue integral defines the nonnegative Lebesgue integral as the supremum of the integrals of nonnegative simple minorants.

[F8]

Integrable real and complex functions, and their integrals defines a signed real integrable function by g=g+−g− with both parts having finite integrals, and ∫g=∫g+−∫g−.

[A1]

On each open side of Σ, U satisfies the classical equation ∂tU+∑j∂xj(Fj(U))=0 pointwise.

[A2]

Countable Choice is assumed as in [F4].

Proof

1.1givenF1F2F3F4F5F6F7F8A2algebra

Fix a test φ∈Cc∞(I×Ω;Rm). Choose an orthonormal basis of n⊥ and write x=y+(st+r)n, with y∈n⊥ and r=n⋅x−st. In these coordinates Φ(t,y,r)=(t,y+(st+r)n) is a linear bijection with absolute determinant 1, and y↦y+stn is an isometry from n⊥ onto the full spatial plane {x∈Rd:n⋅x=st}, whose restriction gives the slice in Ω. [F4] states scaling for measurable sets. For a nonnegative simple function, [F6] and the set-scaling identity for Φ−1 give equality of the integrals of the function and its pullback by summing over the measurable level sets; since Φ is bijective, pullback gives a bijection between the simple minorants of a nonnegative measurable function and those of its pullback, so [F7] gives the same integral identity for nonnegative measurable functions. Apply that identity to the positive and negative parts of each signed integrable real integrand; [F8] then gives equality for the integrable integrands used here. Every test-supported integrand is integrable after extension by zero, since the coefficients are locally integrable and the test derivatives are bounded on compact support. Thus this chart preserves the required volume integrals, and [F5] permits their iterated evaluation. The coordinate measure dy is the pushforward of λd−1 by the chosen linear isometry E. Replacing E by another such isometry changes z by an orthogonal linear map, whose determinant has absolute value 1, so [F4] and the same simple-function argument prove independence of the basis; when d=1 this is the one-point measure specified in the Statement. Let H(r)=1 for r>0 and H(r)=0 for r<0. By [F3], one-dimensional integration by parts in r gives, for every C1 coefficient field a, ∂t(aH)=H∂ta−s a∣ΣδΣ and ∂xj(aH)=H∂xja+nj a∣ΣδΣ, where δΣ pairs with dt dy on the spatial plane, with the coordinate Lebesgue measure just defined. The time derivative is at fixed x, so in this chart ∂t∣x=∂t∣y,r−s∂r; this produces the factor −s and the stated normalization. Tangential spatial derivatives have no boundary term, while the normal derivative contributes nj.

2.1givenA1F1step 1.1

On a neighborhood of Σ, write U=UL+[U]H and Fj(U)=Fj(UL)+[Fj(U)]H, using the C1 side extensions from [F1]. Apply the derivative formulas of step 1.1. The regular terms are the classical residuals on the two open sides, hence vanish by the given equations; the remaining interface term is (∑jnj[Fj(U)]−s[U])δΣ. A partition of unity over the compact support of φ gives the same formula throughout I×Ω.

3.1givenF1step 2.1∎

If the coefficient vanishes on Σ, the residual distribution is zero. Conversely, if it is nonzero at a point of Σ, continuity of the traces gives a neighborhood on which one component has a fixed strict sign. A nonnegative compactly supported test in that interface patch, placed in the corresponding vector component, has a nonzero pairing with the residual, contradicting that it is the zero distribution. If Σ is empty in the cylinder, the equivalence is vacuous. Thus the residual vanishes exactly when the vector Rankine–Hugoniot equality holds pointwise on Σ.

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