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TheoremStatement: AI-adaptedProof: AI-generatedPipeline-generatedprecheck passverified 2026-10-22 (gpt-6.1-sol)
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Second-order local residual of the periodic wave benchmark

Physical scope

A consistency estimate for a smooth nondimensionalized scalar wave on the periodic circle. It is not a global error or Einstein-equation convergence theorem.

Statement

Let I⊆R be open, and let u:R×I→R be six times continuously differentiable and 2π-periodic in its spatial variable x. Assume the nondimensional scalar wave equation utt=uxx on R×I. For N≥3, h=2π/N, k>0, xj=jh, and an integer n with tn=nk and [tn−k,tn+k]⊂I, put

Ujn:=u(xj,tn),τjn:=Ujn+1−2Ujn+Ujn−1k2−Uj+1n−2Ujn+Uj−1nh2.

Set Mn to be the supremum

Mn:=sup⁡{∣∂x4u(x,t)∣:0≤x≤2π, tn−k≤t≤tn+k}.

Then for every grid index j,

∣τjn∣≤k2+h212Mn.

Thus the normalized local truncation residual is O(k2+h2) on each compact time window where the displayed fourth-derivative bound is uniform. This consistency estimate alone is not a convergence theorem.

Facts & Assumptions

Given: A C6 periodic solution of utt=uxx on the stated open time interval and the periodic grid of the scalar benchmark.

[F1]

A finite periodic scalar-wave benchmark: h=2π/N, xj=jh modulo the period, and the normalized discrete second difference is the centered three-point expression in the Statement.

[F2]

A uniform derivative bound gives a uniform Taylor remainder bound: if the fourth derivative of a scalar function has absolute value at most M between x and x+d, its Taylor remainder after degree three has absolute value at most M∣d∣4/4!.

[F3]

Clairaut--Schwarz theorem for continuous second partial derivatives: continuous mixed partials of the C6 function commute, so differentiating the wave equation twice gives utttt=uxxxx.

[F5]

A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value: a continuous real-valued function on a nonempty compact metric space is bounded (and attains its extrema).

[F6]

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

[F7]

The triangle inequality: for real a,b, ∣a+b∣≤∣a∣+∣b∣.

Proof

technique · direct Taylor estimate
1.1givenF4F5algebra

The set [0,2π]×[tn−k,tn+k] is a nonempty closed box in R2: k>0 and the time interval lies in I. Thus [F4] makes it compact. The function (x,t)↦uxxxx(x,t) is continuous there because u∈C6; [F5] bounds it, so Mn<∞ as claimed.

1.2F1F2F6F7givenalgebra

Apply [F2] to the spatial function x↦u(x,tn) at xj with increments h and −h. Adding the two degree-three Taylor polynomials and subtracting twice their common center value cancels their odd terms and leaves h2uxx(xj,tn). By [F2], each remainder has absolute value at most Mnh4/4!; by [F7], the sum of the two remainders has absolute value at most 2Mnh4/4!. After division by h2,

∣Uj+1n−2Ujn+Uj−1nh2−uxx(xj,tn)∣≤h212Mn.

Periodicity of u and its derivatives extends the bound defining Mn from [0,2π] to all real spatial coordinates, including a wrapped neighbor.

1.3givenF2F3algebra

Apply the same estimate to t↦u(xj,t) with increments k and −k. By [F3] and utt=uxx, the fourth time derivative equals utttt=uxxxx, whose absolute value is bounded by Mn on this time window and all x. Thus

∣Ujn+1−2Ujn+Ujn−1k2−utt(xj,tn)∣≤k212Mn.
2.1F7step 1.2step 1.3givenalgebra∎

Subtract the two estimates of steps 1.2 and 1.3, use utt(xj,tn)=uxx(xj,tn), and apply the real triangle inequality [F7] to their error terms. The result is ∣τjn∣≤(k2+h2)Mn/12, as claimed.

Depends on

Dependency tree · 2 levels

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