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Fixed-regularization periodic PIC force consistency on a smooth density
Statement
Fix and a finite signed Borel measure on with total mass . Let and let be its unique zero-mean periodic Poisson potential from Periodic PIC regularization gives a smooth compatible Poisson solution. Put . Use the shape and periodic centered-difference Poisson operator of Periodic PIC deposition shape and gather operators and Periodic uniform PIC grid and inner product. Let , let with , set , and gather using the same shape. Define where are from Partition and quadrature bounds for a periodic PIC shape. Put For vector fields, (the maximum of Euclidean lengths for grid fields); the derivatives in use this same Euclidean norm. Then the source is compatible and The displayed is the actual finite-grid inverse/derivative norm of Periodic Poisson residual controls the gathered particle force and satisfies . Thus for this fixed- force error tends to zero as . Every constant depends on the stated smooth regularized solution and kernel; this is not an estimate.
Facts & Assumptions
Given: A zero-mean periodic density, its stated smooth potential and field, a fixed , and odd periodic grids with the specified shape and Poisson operators.
Partition and quadrature bounds for a periodic PIC shape: the smooth weights are nonnegative and normalized; assigned samples differ from by at most , and gathered samples of a real vector field differ from its convolution by the stated Euclidean trapezoidal bound with translation-uniform shifted-product derivatives.
Periodic centered-difference Poisson solvability and zero-mean gauge: has range exactly the zero-mean arrays and a unique mean-zero solution for every such source.
Periodic Poisson residual controls the gathered particle force: if is the zero-mean solution and , then and , with .
Periodic PIC regularization gives a smooth compatible Poisson solution: has a unique zero-mean periodic potential obtained by dividing each nonzero Fourier coefficient by its positive Laplacian eigenvalue.
Proof
The assigned source has mean zero: by the partition identity in [F1], , so subtracting the background gives zero mean. By [F4], the continuum potential and field are smooth; [F2] gives the unique grid potential. The assignment and centered-stencil Taylor bounds give the residual Here [F1] bounds the measure-assignment error by , and for each coordinate the centered second difference has remainder at most , whose sum is .
The weighted grid norm satisfies because the grid has points and . In [F3], take , , and ; its residual is exactly from step 1.1, so . Taylor's theorem for the centered first difference gives , hence its grid norm is at most .
For any nonnegative normalized weights, , so Cauchy–Schwarz gives . Apply this to the two grid-field errors in step 2.1. Their gathered contribution is at most .
The remaining difference is gathering the exact nodal samples instead of the continuous field. Apply the Euclidean-vector bound of [F1] with and . Its translation-uniform constant is exactly in the Statement, so this difference is at most . The unit-vector projection proof in that supplier introduces no factor. Add this to step 3.1 to get the displayed estimate. Since and for , both terms tend to zero.
Depends on
- Periodic uniform PIC grid and inner product
- Periodic PIC deposition shape and gather operators
- Partition and quadrature bounds for a periodic PIC shape
- Periodic PIC regularization gives a smooth compatible Poisson solution
- Periodic centered-difference Poisson solvability and zero-mean gauge
- Periodic Poisson residual controls the gathered particle force
Used by
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Sources
- Benjamin Seibold, MIT 18.336 Lecture 5, Finite Difference Approximation (standard reference, not scraped)
- A. Myers, P. Colella, and B. Van Straalen, A 4th-Order Particle-in-Cell Method with Phase-Space Remapping for the Vlasov–Poisson Equation, Sections 2.1–2.2 (standard reference, not scraped)
- R. W. Hockney and J. W. Eastwood, Computer Simulation Using Particles, Section 5-4 (standard reference, not scraped)