Alphabeta Math
TheoremStatement: AI-adaptedProof: AI-generatedPipeline-generatedprecheck pass
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Second-order bias for the kernel particle gradient

Statement

Let f∈C³(R^d) have bounded third derivative and define D_εf(x)=∫f(y)∇W_ε(x−y)dy. Then for every ε>0 and x∈R^d,

∣Dεf(x)−∇f(x)∣≤m36ε2∥D3f∥∞,

where ||D³f||∞ is the supremum of the operator norm of the trilinear derivative.

Facts & Assumptions

Given: The kernel W, ε>0, and f∈C³ with bounded third derivative.

[F1]

Scaling identities for kernel moments and derivatives: W_ε(z)=ε^(−d)W(z/ε), so ∇W_ε(z)=ε^(−d−1)∇W(z/ε).

[F2]

Derivative moments of a compact radial kernel: ∫∇W=0, ∫z_j∂_kW=−δ_jk, ∫z_jz_l∂_kW=0, and ∫|z|³|∇W|=m₃.

[F3]

Multivariable Taylor formula with a Lagrange remainder along a line segment: a C³ function has a degree-two Taylor expansion on each line segment with the third derivative remainder at an interior point.

[F4]

A compactly supported Riemann integrand admits the global change-of-variables formula from a diffeomorphism near the relevant compact preimage: let U⊂R^d be open and T:U→R^d be injective C¹ with invertible derivative. If g:R^d→R is compactly supported Riemann integrable with supp(g)⊂T(U), then ∫{R^d}g(y)dy=∫{R^d}h(u)du, where h(u)=g(T(u))|det DT(u)| on U and h=0 outside U. Apply this scalar identity componentwise to the compactly supported vector integrand, with U=R^d and the onto map T(u)=x−εu.

[F5]

A continuous real function on a compact Jordan measurable set is Riemann integrable over that set: a continuous real integrand on a compact Jordan box is Riemann integrable.

Proof

1.1F1F4F5

The scalar components of f(y)∇W_ε(x−y) are continuous and compactly supported, so [F5] makes them Riemann integrable on a bounding box. Apply [F4] with y=x−εu, whose absolute Jacobian determinant is ε^d, and use [F1] to obtain D_εf(x)=ε^(−1)∫f(x−εu)∇W(u)du.

1.2givenF3

For each x,u, [F3] gives f(x−εu)=f(x)−ε∇f(x)·u+(ε²/2)D²f(x)[u,u]+R(x,u), with |R(x,u)|≤(ε³/6)||D³f||∞|u|³.

2.1F2F6step 1.2algebra

Integrate the expansion of step 1.2 against ε^(−1)∇W(u). Linearity [F6] and [F2] make the constant and quadratic terms vanish; the linear term in coordinate k equals −Σ_j∂_jf(x)∫u_j∂_kW(u)du=∂_kf(x). Thus the integrated polynomial part is ∇f(x).

3.1F2F5F6F7step 1.1step 1.2algebra∎

Put G(u)=R(x,u)∇W(u), a continuous compactly supported vector function, and v=∫G componentwise. If v≠0 set a=v/||v||₂; then ||a||₂=1 and ||v||₂=∫⟨a,G(u)⟩≤∫|⟨a,G(u)⟩|≤∫||G(u)||₂ by linearity, monotonicity, and [F7]. If v=0 the same upper bound is immediate. The pointwise remainder estimate in step 1.2 and [F2] therefore give ||v||₂≤(ε³/6)||D³f||∞∫|u|³|∇W(u)|du=(ε³m₃/6)||D³f||∞. Multiplication by ε^(−1) from step 1.1 proves the stated bound.

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