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Two D4 vanishing moments give a local coefficient bound for smooth periodic samples

Statement

Let J≥3, N=2J, and let f:R→R be 1-periodic and C2. Its restriction to an open interval U⊃[0,1] belongs to S2; write M2=M2(f∣U). Form xn=N−1/2f(n/N) for 0≤n<N, and analyze x with the multilevel D4 transform. For a detail coefficient dj,k at scale j=J−ℓ (1≤ℓ≤J−2), one has ∣dj,k∣≤932M2 2−5j/2.

Facts & Assumptions

Given: J≥3, a 1-periodic C2 function f:R→R, its restriction f∣U∈S2 on an open interval U⊃[0,1], and the normalized samples xn=2−J/2f(n2−J).

[F1]

Local support, affine cancellation, and normalization of multilevel D4 detail rows: each stage-ℓ detail row is supported on at most 3⋅2ℓ consecutive lifted samples, has ℓ1 norm at most the square root of this support bound, and annihilates affine data on that lift.

[F2]

Smooth functions on the unit interval with bounded derivative data: for q=2, the second derivative of f is continuous and bounded by M2 on a full period; periodicity gives the same bound on the periodic extension.

[F3]

Taylor's Lagrange remainder follows from repeated Rolle steps: for a C2 function and a center c, f(t) differs from its degree-one Taylor polynomial at c by f′′(ξ)(t−c)2/2 for an intermediate point ξ.

Proof

1.1givenF1F2choose

Fix a detail row at stage ℓ and lift its fewer-than-N periodic support to a consecutive interval of integer indices. Periodicity makes the wrapped samples equal to f(n/N) at these lifted indices. Let c be the midpoint of the support interval in physical coordinates. Its length is at most 3⋅2ℓ/N=3⋅2−j, so every support point is within 3⋅2−j of c. The row's affine cancellation from [F1] removes the degree-one Taylor polynomial of f at c from the coefficient sum.

2.1givenF1F3step 1.1algebra∎

By [F3], each remaining Taylor remainder is bounded by 12M2(3⋅2−j)2. The row coefficient is the sum of these remainders weighted by 2−J/2 times the detail-row entries. Using the ℓ1 bound 3⋅2ℓ from [F1] gives ∣dj,k∣≤2−J/23⋅2ℓ 9M222−2j=932M2 2−j/22−2j, because ℓ=J−j. This is the asserted estimate.

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