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Derivative-window alias bounds including the P=2 knot branch
Statement
Use the data and aliases of Exact three-dimensional spline assignment aliases and FFT normalization. Write and, for , for ; when , set for . Put For , define and For the physical derivative alias error satisfies Each series has a finite p-series controller: for , where for . For , after summing exactly over , the respective omitted tails are at most
For the approved case, the absolute derivative p-series above diverges when . Instead use the finite derivative of the local piecewise window sum. At every open mesh box and each one-sided knot limit, put This is a computable finite bound for the same physical derivative error. At a grid knot, use the declared branch from Periodic cardinal-spline assignment and unitary mesh transform: it is a selected one-sided value or their average and obeys the bound, but is not asserted to be a classical derivative there. Thus for the full range the bound is on , with wherever the classical derivative exists.
Facts & Assumptions
Given: A cell matrix , integers , spline order , signed mode with and , a fractional point , and the assignment factors of the periodic mesh definition.
The exact signed alias expansion of has coefficients with , and is the causal -fold cardinal window (Exact three-dimensional spline assignment aliases and FFT normalization, Periodic cardinal-spline assignment and unitary mesh transform).
The physical gradient is , and (Neutral point sources and Fourier data on a three-dimensional torus).
Uniform convergence of a series and its derivative series on a closed interval permits termwise differentiation, with real and imaginary parts treated separately (If continuously differentiable functions converge at one point and their derivatives converge uniformly on a closed interval, then the functions converge uniformly to a differentiable function whose derivative is the derivative limit).
Proof
Suppose and first take . For , because . Since and , [F3] proves absolute convergence and the stated bounds. To prove the remainders locally, put . For and each integer , monotonicity gives . Summing and taking the limit yields . Apply this with and to the two majorants above. If , all shifted factors and both series vanish.
Now let . The convolution is the length of , hence is on , on , and outside . Its derivative is on , on , and outside, with the indicated one-sided values at . On every open mesh box, only finitely many window translates are nonzero, so direct differentiation gives The periodic residue version is identical because are integers and the phase is unchanged when is shifted by . For every non-knot , one translate lies in and one in , so ; at a knot the same sum of absolute one-sided values is at most . Also and by the partition identity proved in [F1]. Therefore . Since , the fractional derivative error is at most .
For , [F1] gives The absolute derivative sum in coordinate is finite by step 1.1 and the product bounds . Apply [F4] to finite partial sums on each coordinate interval; their values converge at one point by the absolute series and their derivative series converge uniformly by this bound. Thus the displayed series differentiates termwise. Subtracting the term gives The last equality follows by summing the term separately: the sum including is , from which the base is removed.
The physical gradient is times the three fractional derivative components. Hence [F2] and step 2.1 give This proves the branch.
Applying to the three component bounds as in step 3.1 gives . At a knot each one-sided limit satisfies the same coordinate bounds, and an average lies in their convex hull, so the declared branch value also satisfies them. No classical differentiability at a knot is used.
Remarks
- For the absolute Fourier derivative majorant diverges at nonzero . The finite piecewise window derivative avoids that invalid rearrangement.
- A tighter certified enclosure may subdivide the closed mesh boxes and bound the finite piecewise expression on each box. The explicit above is a valid initial enclosure and does not require a supremum oracle.
Depends on
- Neutral point sources and Fourier data on a three-dimensional torus
- Periodic cardinal-spline assignment and unitary mesh transform
- Exact three-dimensional spline assignment aliases and FFT normalization
- The p-series for a real exponent p converges exactly when p is greater than one
- If continuously differentiable functions converge at one point and their derivatives converge uniformly on a closed interval, then the functions converge uniformly to a differentiable function whose derivative is the derivative limit
Used by
Dependency tree · two levels
39 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Markus Deserno and Christian Holm, How to mesh up Ewald sums (I): A theoretical and numerical comparison of various particle mesh routines (1998) (standard reference, not scraped)
- Multi-Level Ewald: A hybrid multigrid / Fast Fourier Transform approach to the electrostatic particle-mesh problem (full-text article, 2011) (standard reference, not scraped)