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ExampleConstruction: AI-adaptedVerification: AI-generatedPipeline-generatedprecheck passverified 2026-10-22 (gpt-6.1-sol)
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Zero sampled constraint residual with unresolved smooth data

Physical scope

A mathematical aliasing example for the discrete constraint diagnostic. It is not a reported simulation, a measurement, or a claim that the sampled data admit a spacetime development.

Example

Let N≥4 be even, let N2,N3≥3, let L∗>0 be a length, and choose 0<ε<1. On T2π3 with dimensionless angular coordinates xi, set

h~=L∗2((dx1)2+(dx2)2+(dx3)2),σ~=0,τ=0,ϕN(x)=1+εsin⁡(Nx1/2).

Take the vacuum branch with Λ=0 and ρ=j=0. Fix any κ>0 with the SI units specified by the discrete diagnostic; its value drops out because j=0. The conformal data are h=ϕN4h~ and K=0. Use a periodic mesh with N1=N and counts N2,N3 in the other directions. Put Δi=2π/Ni and use nodes xjii=2πji/Ni, 0≤ji<Ni, with indices wrapped modulo each Ni. For i=1,2,3, let ei be the ith standard basis vector of Z3. For a scalar grid array fj, use the centered periodic maps

(δif)j:=fj+ei−fj−ei2Δi,i=1,2,3,

with indices reduced modulo (N1,N2,N3), and apply them componentwise. For reconstruction, partition each periodic coordinate circle into the half-open cells

Cj:=∏i=13[2π(ji−1/2)Ni,2π(ji+1/2)Ni)(mod2π),

and assign every component on Cj its value at node j. This specifies the piecewise-constant map IΔ in the constraint-residual definition. For the reported residual arrays use uniform dimensionless weights wj:=(NN2N3)−1 and the norm

∥(HΔ,MΔ)∥Δ,2:=(∑jwj(∣HΔ(j)∣2+hik(j)MΔ,i(j)MΔ,k(j)))1/2.

The bars around the scalar residual denote the real absolute value. For the sampled scalar and covector arrays, define the bilinear form

⟨(H,M),(H^,M^)⟩Δ:=∑jwj(H(j)H^(j)+hik(j)Mi(j)M^k(j)).

At the nodes of this example hik=L∗−2δik and every wj=(NN2N3)−1 is positive. Hence this bilinear form is positive definite on the finite-dimensional space of scalar and covector grid arrays, and the displayed quantity is its induced norm. In the fixed SI component convention, each summand has units m−4, so the norm has units m−2. The recorded mesh hierarchy for this diagnostic is the singleton containing this grid; no refinement or convergence comparison is made.

The discrete residuals HΔ and MΔ vanish at every grid node, so their stated weighted norm is zero. However, the continuum Hamiltonian residual at x1=π/N is

H(h,K)=2εN2L∗2(1+ε)5>0.

Thus a smooth high-frequency field can have the same samples and zero discrete residual as flat data while violating the continuum constraint between grid points. A small or vanishing grid residual alone does not certify continuum constraint satisfaction or solution accuracy.

Statement references

Facts & Assumptions

Given: The Axiom of Countable Choice for the exact conformal-data supplier's embedded interpretation, an even mesh count N≥4, the stated smooth conformal data, and the vacuum convention.

[A1]

The Axiom of Countable Choice (ACω): ACω is the axiom that every countable family of nonempty sets has a choice function. It is retained because the conformal-data supplier includes the embedded Lorentzian interpretation; the algebraic grid example itself uses only the abstract data.

[F1]

Vacuum conformal constraint data: on a compact smooth three-manifold, h=ϕ4h~ and K=ϕ−2σ~+(τ/3)h; vacuum means Λ=0 and zero stress-energy, and zero σ~ is transverse-traceless.

[F2]

Conformal reduction of the vacuum constraint equations: for these data,

H(h,K)=ϕ−5(−8Δ~ϕ+R~ϕ−∣σ~∣h~2ϕ−7+23τ2ϕ5).
[F3]

A finite periodic scalar-wave benchmark: the periodic coordinate grid has nodes xj=2πj/N in its first circle factor.

[F4]

A discrete Hamiltonian and momentum constraint diagnostic: the discrete derivatives annihilate constant arrays, the signed vacuum scalar residual is RΔ+τΔ2−∣K∣Δ2, and the reconstruction map acts from admissible metric/extrinsic-curvature grid arrays to pointwise fields on the periodic torus without a smoothness claim.

[F5]

Christoffel formula for the levi civita connection, Curvature of an affine connection: Christoffel symbols are given by the first-derivative metric formula, and curvature is the derivative-plus- quadratic expression in those symbols.

[F8]

Absolute value in an ordered field: for real x, ∣x∣=x if x≥0 and ∣x∣=−x if x<0.

[F9]

Basic properties of the absolute value: ∣x∣≥0 and ∣x∣=0 exactly when x=0; in particular, ∣0∣=0.

Verification

Given: The mesh, parameter L∗, amplitude ε, and the vacuum conformal data and discrete reconstruction in the Example.

1.1givenA1F1F6algebra

Since N/2 is an integer, ϕN is 2π-periodic. By [F6], ϕN≥1−ε>0. The flat seed metric is smooth positive-definite; σ~=0 is symmetric, trace-free and divergence-free, and τ=0 is constant. Thus the data satisfy [F1] and h=ϕN4h~, K=0.

2.1givenF3F4F6F8F9step 1.1algebra

At each first-coordinate grid node xj1=2πj/N, [F6] gives ϕN(xj)=1. The sampled arrays therefore have hij=L∗2δij, hik=L∗−2δik, Kij=0, ρ=j=Λ=0. Since the discrete derivatives annihilate these constant arrays, the discrete connection and curvature formulas of [F4] give zero; [F4] then gives HΔ=MΔ=0 at every node. By [F8, F9], each scalar term ∣HΔ(j)∣2=∣0∣2=0, and the covector term is zero because MΔ=0. The induced norm of this zero array is therefore zero. The specified piecewise-constant reconstruction of these samples is flat.

2.2givenF2F5F6F7step 1.1algebra

In the lifted angular coordinates the coefficients of h~ are constant. The Christoffel formula in [F5] therefore gives Γ~kij=0, and the curvature formula in [F5] gives R~=0. Thus Δ~ϕN=L∗−2∂12ϕN. By [F7], Δ~ϕN=−εN24L∗2sin⁡(Nx1/2). At x1=π/N, [F6] gives ϕN=1+ε and sin⁡(Nx1/2)=1. Substituting σ~=0, τ=0 and this Laplacian into [F2] gives H(h,K)=2εN2/[L∗2(1+ε)5]>0.

3.1step 2.1step 2.2F3F4∎

Step 2.1 and step 2.2 exhibit identical grid data with zero discrete residuals and a smooth continuum representative with a nonzero exact Hamiltonian residual. The reconstruction and finite differences cannot identify the unresolved sine mode from these samples; the residual therefore does not certify continuum constraint satisfaction.

Depends on

Dependency tree · 2 levels

Sources