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Particle in cell and particle mesh kinetic methods
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Areas of Elementary Plane Figures
- Banach-Space Differential Calculus and Banach Manifolds
- Binary Operations, Monoids, Groups and Subgroups
- Bounded Linear Operators and Quotient Spaces
- Codimension One Foliations, Secondary Classes and Characteristic Disk Foundations
- Compactness
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Complex Norms and Realification
- Complexification, Realification and Real Structures
- Connectedness
- Construction of the Natural Numbers
- Construction of the Real Numbers via Cauchy Sequences
- Construction of the Real Numbers via Dedekind Cuts
- Continuity, IVT, EVT, and Uniform Continuity
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Countability Axioms and Cardinal Functions
- Darboux, L'Hôpital, and Taylor's Theorem
- Density Separability and Convolution in Lᵖ
- Determinants of Matrices over a Commutative Ring
- Direct Matrix Factorisations: LU, Cholesky and QR
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Finite Dimensional Normed Spaces and Riesz Lemma
- Foundations of the Real Numbers for Analysis
- Fubini and Change of Variables
- Gaussian Elimination, Elementary Matrices and Reduced Row Echelon Form
- Geometric numerical integration
- Group Actions, Orbits, Stabilisers and Cayley's Theorem
- Hamiltonian Monte Carlo and leapfrog correction
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Interacting particle mean field and vortex blob error
- Lebesgue Measure on Euclidean Space
- Limits of Real Functions
- limsup, liminf, and Subsequential Limits
- Linear Independence, Bases and Dimension
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Matrices, the Matrix of a Linear Map, and Change of Basis
- Measurable Functions and Simple Approximation
- Measures and Their Basic Properties
- Metric Spaces
- Mixed Partials, Taylor Formulae, and Extrema
- Monotone Functions, Discontinuities, and Continuity Sets
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Normal Subgroups and Quotient Groups
- Normed and Banach Spaces
- One-step ODE Consistency and Local Error
- Order, Zorn's Lemma, and the Axiom of Choice
- Outer Measure and the Caratheodory Extension Theorem
- Picard-Lindelöf and First-Order Ordinary Differential Equations
- Polynomial Rings, the Division Algorithm and Roots
- Power Series and Real-Analytic Functions
- Product Measures and the Fubini Tonelli Theorems
- Properties of the Integral and the Working FTC
- Relations, Functions, and Quotients
- Rings, Subrings, Integral Domains and Fields
- Rⁿ as a Normed Space; Vector-Valued Functions
- Roots, Rational Powers, and Classical Inequalities
- Runge–Kutta Methods and Order
- Sequences and Limits
- Sequences and Series of Functions; Uniform Convergence
- Series: Convergence and the Nonnegative Tests
- Sigma Algebras and Borel Sets
- Simple Field Extensions and the Construction of the Complex Numbers
- Strongly Continuous Semigroups and Hille Yosida
- Subspaces, Products, and Quotients
- Suprema and Infima
- Symmetric Groups, Cycle Decomposition and the Sign Homomorphism
- Symplectic Manifolds, Moser Stability, and Darboux–Weinstein Theory
- The Derivative and the Mean Value Theorems
- The Determinant of a Linear Operator, Cofactors and Cramer's Rule
- The Exponential Function
- The Inverse and Implicit Function Theorems
- The Lebesgue Integral and the Convergence Theorems
- The Riemann Integral in Rᵐ and Jordan Content
- The Riemann Integral: Definition and Integrability
- The Topology of Euclidean Space
- The Total Derivative in ℝᵐ → ℝⁿ
- The ZFC Axioms and the Basic Set Constructions
- Topological Spaces and Continuity
- Topology of ℝ
- Vector Spaces, Linear Subspaces, Span and Direct Sums
2 · Summary
This page fixes a periodic electrostatic particle/grid model on , , with an odd uniform grid, a nonnegative partition-of-unity deposition shape, a uniform neutralizing background, centered differences, and a zero-mean periodic Poisson gauge. The finite Fourier solver is exact-arithmetic; floating-point FFT residuals require a separate certificate. Deposition and potential gathering are adjoints under the cell-volume grid pairing. A centered-field residual estimate uses the actual inverse/derivative norm and retains the grid-to-particle factor.
Two force branches are kept distinct. The ordinary particle-mesh interaction uses a fixed- smooth periodic assignment kernel, which makes the finite particle ODE globally smooth and Lipschitz. A separate variational grid energy defines the canonical force used for the leapfrog geometry theorem. Adjoint gathering alone does not identify the ordinary interpolated force with that variational force, and neither symplecticity nor reversibility gives exact discrete energy conservation.
For fixed , the smooth-density force error is bounded by , with and source/field derivative constants stated in the theorem. Vector quadrature uses Euclidean norms and a supremum over all shifted kernel/field products, preserving the scalar coefficient without a dimension factor. The regularized continuum force is globally Lipschitz, so the XD-08 Dobrushin estimate propagates a prescribed initial error and a uniform force defect. Classical RK4 contributes a conditional term on uniform grid times with , when the field and all paired stages stay in the declared compact tube and satisfy its local-defect bounds. The grid need not end at . The resulting estimate is at fixed ; it asserts no singular limit and no universal empirical rate.
Grid crossing, spectral aliasing, and stochastic loading are separate effects. The CIC example shows that a piecewise-linear assignment weight has a derivative jump at a node, so the smooth-tube RK4 theorem is not supplied by CIC regularity. The Fourier alias example concerns spectral collocation sampling, not the centered finite-difference solver. The chosen loading enters through the actual initial discrepancy ; no sampling law is assumed. A local periodic solvability proof is included because the inspected elliptic supplier page states a rectangular Dirichlet solver and does not provide the periodic Poisson interface planned in the design. Owner reconciliation is recorded in batch evidence.
3 · Logical flowchart
4 · Definitions, theorems and proofs
Periodic uniform PIC grid and inner product
Definition
Fix a spatial dimension , side length , and odd integer . Put and . The periodic grid has index set and nodes modulo . A grid scalar is a real array ; a grid vector has real components at each node. Define The same pairing is componentwise for grid vectors. For the coordinate vector , define the centered field difference and positive periodic Poisson stencil by All indices wrap modulo . The discrete Fourier index set is ; the character at is . This odd-grid convention has no Nyquist mode.
Composite periodic trapezoidal error in a uniform tensor grid
Statement
Let , odd , , and for . With the uniform tensor grid and indices taken modulo ,
Facts & Assumptions
Given: A periodic function and a uniform periodic tensor grid with cells in each coordinate.
Periodic uniform PIC grid and inner product: the periodic grid uses , wraps indices modulo , and its tensor nodes are .
Proof
In one coordinate, on a cell , put . Two integrations by parts give Since and , the absolute cell error is at most . Sum over the periodic cells, whose endpoint contributions assemble into the periodic trapezoid sum . This gives the one-dimensional error bound .
For each coordinate , let denote the periodic trapezoid operator in that coordinate and integration over that coordinate. Both have sup-norm operator bound at most , since their weights are nonnegative and sum to . The telescoping identity holds by cancellation. In the th summand, the one-dimensional bound from step 1.1 applies after the later-coordinate integrations; differentiation in coordinate commutes with those integrations. The other operators contribute at most in sup norm. Thus that summand is bounded by . Summing these bounds gives the displayed estimate, because and .
Periodic PIC deposition shape and gather operators
Definition
On the torus and grid of Periodic uniform PIC grid and inner product, an algebraic assignment shape is any family of functions such that for every . For the smooth fixed- branch used in the force-error and ODE results, fix , put and choose the explicit even periodic kernel For this smooth branch and each , set Each factor in the kernel denominator is positive, so and the smooth-branch weights are well-defined. For any algebraic shape family above and finitely many particle positions with charges , write and define deposited charge density For any grid scalar , its potential gather is . For any grid vector , its field gather is defined componentwise by the same weights, . On the smooth fixed- branch, means the explicit family above.
Periodic centered-difference Poisson solvability and zero-mean gauge
Statement
Use the grid, inner product, and operator of Periodic uniform PIC grid and inner product. Then is self-adjoint and nonnegative, consists exactly of constant arrays, and . Consequently, for every compatible source , there is a unique solution of with the gauge .
For , the Fourier character is an eigenvector with Only has eigenvalue zero.
Facts & Assumptions
Given: , odd , , the periodic grid, its weighted inner product, and .
Periodic uniform PIC grid and inner product: is the periodic negative centered Laplacian, and .
Proof
Reindex the finite periodic sums in each coordinate. For any real arrays , The right side is symmetric in and is nonnegative when . Thus is self-adjoint and nonnegative.
If , every nonnegative squared difference in step 1.1 is zero, so for every . Coordinate steps connect every pair of indices in , hence is constant. Conversely a constant is annihilated by .
For a symmetric finite-dimensional linear map, : symmetry gives , and rank-nullity makes the dimensions equal. By step 2.1, is precisely the zero-mean subspace. Therefore each zero-mean is in the range, and any two solutions differ by a constant; imposing selects exactly one.
For , substitution in the stencil from [F1] gives The characters form a basis because their finite geometric sums are orthogonal: in one coordinate is if modulo and otherwise; taking products gives independent characters. Since every , exactly when every .
The periodic Poisson mean-zero pseudoinverse is linear and self-adjoint
Statement
For any real grid array , define its mean-zero periodic Poisson pseudoinverse by where . This definition is well-defined by Periodic centered-difference Poisson solvability and zero-mean gauge. It gives , , and a linear self-adjoint map on the full finite grid space.
Facts & Assumptions
Given: The real grid space, its weighted inner product and mean, and the periodic centered Poisson operator.
Periodic centered-difference Poisson solvability and zero-mean gauge: is self-adjoint, its range is the zero-mean subspace, and every zero-mean source has a unique mean-zero solution.
Proof
For any , the source has mean zero by [F1]. By [F2] it has a unique mean-zero solution; this defines , proves , and gives .
Let and grid arrays . The array has mean zero, and applying gives . Uniqueness in [F2] therefore yields .
Both and have mean zero. Hence, using [F2] and step 1.1, The middle equality uses self-adjointness of . This proves that the full-space linear map is self-adjoint.
Fourier diagonal solver for the periodic centered-difference Poisson equation
Definition
Input an odd periodic grid as in Periodic uniform PIC grid and inner product and a real grid source . If , return the status incompatible-source. Otherwise compute the finite discrete Fourier coefficients . Set and, for each , set with from Periodic centered-difference Poisson solvability and zero-mean gauge. Return the inverse finite Fourier transform and status success. All arithmetic here is exact real or complex arithmetic; an implementation using floating-point FFTs requires a separate perturbation analysis.
Periodic PIC deposition conserves charge and satisfies Poisson compatibility
Statement
For positions and real charges , define and an admissible algebraic assignment shape as in Periodic PIC deposition shape and gather operators. Then Consequently the neutralized source has mean zero and is in the range of the periodic Poisson operator; it therefore has a unique mean-zero potential for the gauge by Periodic centered-difference Poisson solvability and zero-mean gauge.
Facts & Assumptions
Given: The finite periodic grid, particle positions and charges, the normalized assignment shape, and the periodic Poisson operator.
Periodic PIC deposition shape and gather operators: , and an algebraic assignment has nonnegative weights.
Periodic PIC deposition shape and gather operators: every algebraic assignment shape satisfies for every particle location.
Periodic centered-difference Poisson solvability and zero-mean gauge: the range of is exactly the zero-mean grid subspace, and every zero-mean source has a unique mean-zero solution.
Proof
Before subtracting the background, sum the assigned density with cell volume. Since the sum is finite, interchange its particle and grid sums; [F2] gives
The background has total grid charge because . Hence , equivalently .
By [F3], this zero-mean source has a solution and fixing its mean to zero selects exactly one potential.
Periodic PIC regularization gives a smooth compatible Poisson solution
Statement
Let be the explicit product kernel in Periodic PIC deposition shape and gather operators, with . Let be a finite signed Borel measure on with mass and total variation . Put Then is strictly positive, even, smooth, and has integral one. The regularized neutralized source is with zero mean. Its unique zero-mean periodic solution of is the absolutely and uniformly differentiable Fourier series For every integer , all spatial derivative series of order at most converge absolutely and uniformly; their bounds may depend on .
Facts & Assumptions
Given: , , the product periodic kernel from the shape definition, and a finite real signed measure on the torus.
Proof
For , the two geometric series and converge absolutely and uniformly. Adding them and simplifying the denominator gives The denominator is . The constant Fourier coefficient is , so integrating the absolutely convergent series over one period gives mean one. Applying this in every coordinate proves the positivity, evenness, smoothness, and unit integral of .
Multiplying the coordinate Fourier series from step 1.1 gives The product coefficients are absolutely summable, so uniform convergence permits termwise integration against the finite measure . The term is and is removed by neutralization. For each , . For every integer , by the ratio test; taking products bounds the corresponding -dimensional weighted sums. Hence the source and every formally differentiated Fourier series converge absolutely and uniformly, proving that and has zero mean.
For , . Dividing the nonzero source coefficients in step 2.1 by this positive eigenvalue gives the displayed ; the weighted geometric summability in step 2.1 justifies termwise differentiation and the equation. Its zero Fourier coefficient is set to zero, so it has mean zero. If two mean-zero potentials solve the equation, their difference satisfies . Periodic integration by parts gives , so , is constant, and its zero mean forces . This proves uniqueness.
Periodic PIC deposition and potential gather are adjoint
Statement
Let be the deposited density before background subtraction for an admissible algebraic shape of Periodic PIC deposition shape and gather operators, and let be its scalar potential gather. For every grid scalar , For the neutralized density the corresponding identity is Thus the background term vanishes in the zero-mean potential gauge.
Facts & Assumptions
Given: The grid inner product, particle positions and charges, and the deposition and gather formulas.
Proof
Substitute [F2] into the left pairing and cancel : The finite inner sum is by [F2], proving the first identity.
The background contributes by [F1]. Subtract this term from step 1.1 to obtain the second identity.
Smooth periodic PIC assignment weights have bounded derivatives
Statement
For fixed and periodic grid, the smooth-branch weights of Periodic PIC deposition shape and gather operators are on . For every multi-index , . They are nonnegative and sum to one at every point.
Facts & Assumptions
Given: The explicit smooth periodic kernel , its sampled normalizer , and the displayed weights.
Periodic PIC deposition shape and gather operators: and , where .
Periodic PIC regularization gives a smooth compatible Poisson solution: is strictly positive and on the compact torus.
Proof
By [F2], each numerator in [F1] is a smooth periodic function. The finite sum defining is smooth and strictly positive; compactness gives a positive minimum. The reciprocal of a positive smooth function is smooth, so every ratio is . Each derivative is continuous on the compact torus and hence bounded; there are finitely many indices , so their maximum is finite.
Each weight is nonnegative by [F1] and positivity of . Summing [F1] over gives .
Periodic Poisson residual controls the gathered particle force
Statement
Let be a zero-mean grid source and let be the zero-mean solution of . Let be any approximate grid potential, and set ; then . Define For the centered field operator , For any particle location and charge-to-mass ratio with , the force gather using the weights of Periodic PIC deposition shape and gather operators obeys Thus the norm in the force certificate is the actual finite-grid inverse/derivative norm; the explicit conversion is retained when passing from grid to a particle gather.
Facts & Assumptions
Given: An odd periodic grid, its centered Poisson operator and field differences, a compatible source, an approximate potential, and nonnegative normalized shape weights.
Periodic uniform PIC grid and inner product: is the centered periodic stencil and is its centered field difference.
Periodic centered-difference Poisson solvability and zero-mean gauge: has kernel the constants and range the zero-mean arrays; the Fourier characters form a basis, and on mode , has eigenvalue . The symbol of is derived from its stencil in [F1].
Periodic PIC deposition shape and gather operators: with nonnegative weights of total one.
The periodic Poisson mean-zero pseudoinverse is linear and self-adjoint: for zero-mean , is the unique mean-zero solution.
Proof
Let . Since , . The range statement in [F2] gives , so . By [F4], is the mean-zero solution of ; hence lies in and is constant by [F2]. Expand in the finite orthogonal Fourier-character basis from [F2]. On each nonzero mode, has coefficient by [F2], while the possible constant difference is annihilated by .
For a Fourier character , direct substitution into the centered difference from [F1] gives By [F2], has eigenvalue on every nonzero mode, so [F4] implies that has coefficient there. Thus the vector multiplier of has Euclidean modulus . Parseval's identity for this finite orthogonal basis therefore gives the first bound with the displayed maximum .
Put . For , some coordinate satisfies because is odd and . Hence ; monotonicity of sine on gives . Since , the numerator in the definition of is at most , while its denominator is . Their ratio is at most . For , and concavity of sine gives , so this is at most .
Cauchy–Schwarz gives . Nonnegativity and imply , while . Apply this to and use steps 2.1–3.1. Multiplying by gives the gathered-force estimate.
Fixed-regularization periodic PIC pair kernel
Definition
Fix , , , and a regularized one-species model with total charge and total mass . Let . For each position , define the continuous unit-source field by taking the zero-mean solution from Periodic PIC regularization gives a smooth compatible Poisson solution for , and setting The series converges absolutely with all derivatives by geometric summability. For the grid branch, let be the mean-zero solution of whose compatibility follows from Periodic PIC deposition conserves charge and satisfies Poisson compatibility, and put If and are lifted phase-space states in , the continuum and grid mean-field kernels are The spatial components are periodic in their position variables. A finite equal-weight system uses particle charge and mass . No claim about the limit is part of this definition.
Partition and quadrature bounds for a periodic PIC shape
Statement
Let , and have the meanings in Periodic uniform PIC grid and inner product and Periodic PIC deposition shape and gather operators. For a finite signed Borel measure on the torus, write and define Put Then for every , and . The measure assignment satisfies For with finite (including scalar ), use the Euclidean norm and . Define the translation-uniform constant The gathered nodal samples satisfy the explicit bound
Facts & Assumptions
Given: The periodic grid and pairing, the strictly positive normalized smooth kernel, its sampled normalizer, and the weights defined in Periodic uniform PIC grid and inner product and Periodic PIC deposition shape and gather operators.
Periodic uniform PIC grid and inner product: , the grid is the uniform periodic tensor grid, and is its volume-weighted sum.
Composite periodic trapezoidal error in a uniform tensor grid: for , the uniform periodic tensor-grid trapezoid error is at most .
Periodic PIC regularization gives a smooth compatible Poisson solution: has unit integral.
Proof
Strict positivity of implies . Summing the weights in [F2] gives , and each weight is nonnegative. Since every summand in is at least , and , .
For fixed , put and let . For every Euclidean unit vector , apply the scalar estimate [F3] to . Since , this gives . If , take ; if the bound is immediate. Thus , with no dimension factor. The integral is because the kernel is even. Projecting that integral onto its unit direction in the same way, nonnegativity and the unit integral [F4] give . The defining supremum is over both and : translation of the kernel alone does not translate .
Apply [F3] to ; translation does not change its second-derivative suprema and its integral is by [F4]. Thus . By [F2], Subtract , factor , and use . Integrating against the total variation measure gives the first bound.
The gathered sum in the Statement is by [F2]. Subtract the integral, use the quadrature error from step 1.2 divided by , and bound the Euclidean norm of the normalization correction by . This is the second bound.
Remarks
The shifted-product constant is finite and can be bounded entirely by separate derivative suprema: This follows by differentiating the product twice and using the Euclidean triangle inequality. The unshifted product alone does not supply a uniform bound for all gather locations .
The periodic PIC Poisson algorithm returns the unique gauged solution
Statement
For every real zero-mean source on the grid of Periodic uniform PIC grid and inner product, Fourier diagonal solver for the periodic centered-difference Poisson equation terminates and returns the unique satisfying and . Its incompatible-source branch is taken exactly when the equation has no solution.
Facts & Assumptions
Given: A real grid source and the exact-arithmetic finite Fourier procedure.
Periodic centered-difference Poisson solvability and zero-mean gauge: the Fourier characters diagonalize , for , and a zero-mean source has a unique zero-mean solution.
Fourier diagonal solver for the periodic centered-difference Poisson equation: the procedure checks , sets , divides each other coefficient by , and applies the inverse finite Fourier transform.
Proof
The source and grid contain finitely many real numbers, so computing its mean and finite Fourier transform terminates. If , then the constant Fourier coefficient of is nonzero while annihilates constants and has zero constant coefficient on every output, so is impossible.
If , its zero Fourier coefficient is zero. By [F1], every other eigenvalue is positive, so all divisions in [F2] are defined. For real input, and ; therefore the returned coefficients have the same conjugate symmetry, and pairing the and terms in the inverse transform shows every is real. For every nonzero mode, the returned coefficient satisfies , and the zero mode satisfies . Inverse Fourier transformation therefore gives and gives .
The coefficient list is finite, hence inverse transformation terminates. Uniqueness of the returned gauged solution follows from [F1].
Classical RK4 step for the fixed-grid regularized PIC particle ODE
Definition
Input an odd periodic grid with , a fixed , particle count , total charge , total mass , a state with , and step . The grid, mass, and shape must satisfy the domains in Periodic uniform PIC grid and inner product, Fixed-regularization periodic PIC pair kernel, and Periodic PIC deposition shape and gather operators; otherwise return status invalid-input. Use the exact-evaluation phase field of Fixed-regularization periodic PIC pair kernel: At each of four classical RK stages, evaluate this complete field at that stage's particle state: deposit every charge , subtract the neutralizing background, solve its zero-mean Poisson system with Fourier diagonal solver for the periodic centered-difference Poisson equation, compute , and gather at each stage position . Multiply the gathered field by and return , using that stage's velocity . With , , , and , return Every stage source is compatible by Periodic PIC deposition conserves charge and satisfies Poisson compatibility, and The periodic PIC Poisson algorithm returns the unique gauged solution supplies each exact finite field solve. Thus no field-solve-failure branch occurs for admissible input. All operations use exact real or complex arithmetic; no floating-point stability or error bound is asserted.
Matched variational Hamiltonian branch for periodic PIC
Definition
Use the smooth assignment branch of Periodic PIC deposition shape and gather operators, real particle charges , positive masses , and its neutralized grid density . Let denote the unique mean-zero solution from Periodic centered-difference Poisson solvability and zero-mean gauge. Define the grid potential energy and the finite-dimensional separable Hamiltonian The corresponding canonical ODE is , . Its force is the variational force obtained by differentiating the deposited shape in ; this definition does not identify that force with ordinary field interpolation .
Fixed-regularization periodic PIC kernels are globally Lipschitz
Statement
For fixed , odd grid size , and as in Fixed-regularization periodic PIC pair kernel, define and . These are finite mesh- and regularization-dependent constants. The phase kernel is globally Lipschitz in the two-variable convention The continuum kernel is also globally Lipschitz with the explicit admissible constant
Facts & Assumptions
Given: The fixed periodic grid, smooth normalized weights, the finite grid Poisson inverse, the continuum regularized Fourier kernel, and the phase-state definition.
Fixed-regularization periodic PIC pair kernel: is a finite weighted sum of entries of the fixed matrix ; is the displayed absolutely convergent Fourier series.
Smooth periodic PIC assignment weights have bounded derivatives: every fixed-grid weight is with all derivatives bounded on the compact torus.
The periodic Poisson mean-zero pseudoinverse is linear and self-adjoint: is linear on grid sources, so the pair field is a finite sum of products of its source and gather weights with fixed entries of .
Proof
By [F2], each grid weight is smooth and has bounded derivatives of every finite order. By [F1], is a finite sum of products of such weights and fixed matrix entries, so it is and all its derivatives are bounded. In particular, both derivative suprema are finite. More explicitly, if are the vector entries of and , then which are finite explicit bounds for the defining suprema.
Any finite-order derivative of the continuum series multiplies each coefficient by finitely many components of . The coefficient already has one factor ; after additional derivatives, its magnitude is bounded by a constant times . These bounds are summable because each one-dimensional geometric series with a polynomial factor converges. Thus every differentiated series converges uniformly, and all derivatives are bounded. In particular, for a first derivative the factor cancels the denominator , so its norm is bounded by the displayed sum times . Periodicity permits the same bounds on Euclidean lifts.
First change while holding fixed. The output difference has components . Its squared Euclidean norm is at most , hence its norm is at most . Next change while holding fixed; this changes only the field component, by at most . Adding these bounds gives the stated two-variable estimate with . The same block-norm calculation using the continuum derivative bounds from step 1.2 gives the estimate with .
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.
The matched periodic PIC grid force is a gradient and its ODE conserves energy
Statement
For the Hamiltonian grid model of Matched variational Hamiltonian branch for periodic PIC, let . Its position gradient is Along every differentiable solution of , , the continuous semidiscrete energy is constant. This is an invariant of the exact finite-grid ODE; no time-discrete energy conservation is asserted.
Facts & Assumptions
Given: Smooth periodic shape weights, the neutralized deposition, the mean-zero inverse , positive masses, and a differentiable solution of the stated Hamiltonian ODE.
Matched variational Hamiltonian branch for periodic PIC: , , and the ODE is , .
The periodic Poisson mean-zero pseudoinverse is linear and self-adjoint: is linear, maps a source to the unique mean-zero solution of its mean-zero part, and is self-adjoint.
Periodic PIC deposition conserves charge and satisfies Poisson compatibility: the neutralized density has zero mean.
Smooth periodic PIC assignment weights have bounded derivatives: the smooth weights are differentiable and satisfy for every .
Proof
For a variation , differentiating the partition identity in [F4] gives for each . Thus the finite variation has zero mean; itself has zero mean by [F3]. Since is self-adjoint on the zero-mean subspace by [F2], differentiating gives Identifying coefficients of arbitrary yields the displayed gradient.
Differentiate along a solution. Symmetry of gives Therefore is constant in time on the solution interval.
Periodic PIC particle and force errors under a prescribed initial coupling
Statement
Fix and grid width . Let and be the phase kernels of Fixed-regularization periodic PIC pair kernel, and let be the two-variable global Lipschitz constant of Fixed-regularization periodic PIC kernels are globally Lipschitz. Suppose a probability characteristic solution for and an equal-weight finite-particle grid solution with empirical law are defined on , with finite first moments and integrable path suprema. Assume the uniform grid-force defect If is the actual initial empirical-measure error, then for every , No rate for is implied: in particular, no dimension-free Wasserstein rate is assumed.
Facts & Assumptions
Given: A fixed regularization and grid, a finite equal-weight particle path, a continuum characteristic solution, finite first moments, a prescribed initial coupling, and the uniform pair-kernel force defect.
Fixed-regularization periodic PIC pair kernel: the equal-weight particle system is and the continuum kernel is .
Fixed-regularization periodic PIC kernels are globally Lipschitz: and have two-variable Lipschitz constants and , respectively, in the stated sum convention.
The coupling definition of the 1-Wasserstein distance: is the infimum of over Borel probability couplings of finite-first-moment laws; no minimizing coupling is part of the definition.
Characteristic solution of a probability mean-field equation: a characteristic solution is the pushforward of its initial probability by an absolutely continuous label flow satisfying its integral equation.
Gronwall's integral inequality with variable and constant coefficients: if for a nonnegative continuous and , then .
Probability W1 stability under bounded force defects: for two characteristic flows of the same kernel with defects bounded by , every initial coupling of cost gives transported cost at most .
Proof
If particles and start at the same phase state, subtract their grid equations. The terms with common second argument satisfy because the two-variable Lipschitz bound in [F2] applies with only the first argument changed. By [F5], the two paths agree. Thus the finite particle flow defines a single path for each distinct atom of , independent of the label representing .
Extend by the identity off the finite support of . This is a jointly Borel map, its paths are absolutely continuous on that support, and their path suprema are integrable because the support is finite and each path is continuous on . Also . For a support point , the finite system equation can be written as Thus . This measurable residual has norm at most by the uniform defect hypothesis. The continuum characteristic flow has residual zero.
Fix any prescribed initial coupling of and with cost . Apply [F6] to the two characteristic flows in steps 1.1 and 2.1, with and . The transported coupling has cost at most , so by [F3] the same expression bounds .
Step 3.1 holds for every initial coupling. Taking the infimum over its initial cost gives by [F3], yielding the claimed inequality. No coupling attaining the infimum is selected.
Fourth-order RK4 trajectory error for the fixed-grid periodic PIC ODE
Statement
Fix , grid width , particle count , and final time . Apply classical RK4 from Classical RK4 step for the fixed-grid regularized PIC particle ODE to the autonomous finite-dimensional PIC system Let be an exact solution on . Assume is on an open set containing a common compact convex tube ; the exact path, all numerical states, and every RK4 stage generated from both the exact and numerical starting states lie in ; and all derivatives of through order four are bounded there. Choose a uniform step with , initialize exactly, and retain every time for integers ; need not be an integer. The stage hypotheses concern each step ending by . Put and choose so that the exact-start defect on this tube is at most for admitted steps ending by . The local-order supplier gives such constants for a sufficiently small positive under the stated smoothness and tube assumptions. Then, for every grid time , The tube, exact-solution, and stage-admissibility hypotheses are conditional; this is a fixed-, fixed-grid finite-particle time error, not a continuum or singular-force estimate.
Facts & Assumptions
Given: The exact smooth finite-grid ODE solution, exact initialization, the common compact convex tube, bounded derivatives through order four, admissible RK4 stages from exact and numerical starts, and a uniform partial grid with and the stated uniform local-defect bound.
Fixed-regularization periodic PIC kernels are globally Lipschitz: the two-variable phase kernel has constant in the sum norm convention.
Orders and scalar stability functions of Euler, midpoint, and classical RK4: classical RK4 has uniform local order at least four for a autonomous field with bounded derivatives and its exact-start stages in a common compact convex tube.
One-step Lipschitz bound for classical RK4 on an admitted tube: if the field is -Lipschitz on the stages from two admitted starts, the one-step RK4 map has bound with .
Proof
The state field is a mean over pair interactions. For two stacked states , [F1] gives Taking the stacked Euclidean norm and applying finite Cauchy–Schwarz to the average term shows . The tube hypotheses therefore permit [F2], which gives a uniform exact-start local defect at most .
Let . The RK4 stages from the paired exact and numerical starts are admitted by assumption, so [F3] bounds the difference of their one-step outputs by . Adding the exact-start defect from step 1.1 by the triangle inequality gives , with .
Unroll step 2.1 over the first steps to get , including the empty sum at . If , the finite geometric sum gives . Since for and , this is at most . If , the sum gives . These are the claimed bounds on every retained partial-grid time, without requiring a step at .
Leapfrog geometry and finite-time order for the matched periodic PIC Hamiltonian
Statement
Let be Matched variational Hamiltonian branch for periodic PIC, with symmetric positive definite and periodic. Let be the leapfrog map with the kick and drift conventions of One-step leapfrog map as force and drift shears. Then:
- For every signed step , .
- Every step is symplectic.
- Assuming Countable Choice, every step preserves Lebesgue volume on phase space.
- On a finite interval , if the exact and numerical paths, all kick/drift stages, and all line segments in the comparison lie in a common compact convex tube and the Hamiltonian vector field has bounded derivatives through order two there, the leapfrog trajectory error is at most for exact initialization and sufficiently small .
The exact continuous flow conserves by The matched periodic PIC grid force is a gradient and its ODE conserves energy. No claim says the leapfrog map preserves exactly or that modified-energy estimates hold outside the analytic tube hypotheses of the geometric-integration suppliers.
Facts & Assumptions
Given: A smooth periodic potential, symmetric positive-definite mass matrix, the kick/drift convention, an admitted step, and (for the finite-time error) the stated compact convex tube and exact initialization.
Countable Choice is assumed only in claim 3 (The Axiom of Countable Choice ()).
Canonical kick and drift shears satisfy the symplectic Jacobian identity: for and symmetric positive definite, each kick and drift Jacobian satisfies .
Local leapfrog and kick-then-drift symplectic Euler are symplectic: the admitted local leapfrog composition is and symplectic under those hypotheses.
Local and finite-time trajectory error for symplectic Euler and leapfrog: on a common compact convex tube with , bounded derivatives through order two of the Hamiltonian vector field, exact initialization, and admitted stages, leapfrog has finite-time global error at most .
A C^1 diffeomorphism satisfies the change-of-variables formula for nonnegative Lebesgue measurable functions: under Countable Choice a diffeomorphism changes Lebesgue measure by the absolute value of its Jacobian determinant.
The matched periodic PIC grid force is a gradient and its ODE conserves energy: the continuous semidiscrete Hamiltonian flow conserves the exact .
Proof
The kicks and drifts in [F1] have inverses and . Reversing the composition gives . All maps are global on the periodic lift, so no intermediate-domain restriction is lost.
The potential is smooth, hence , and is symmetric positive definite. Each admitted kick and drift satisfies the symplectic Jacobian identity [F2]; composing the three maps preserves that identity by the chain rule, as stated in [F3].
The Jacobian of a kick is and the Jacobian of a drift is . Each is block triangular with identity diagonal blocks, so its determinant is ; multiplicativity gives . The global kick/drift maps are diffeomorphisms, so [A1] permits applying [F5] to the map and its inverse, proving preservation of Lebesgue volume.
Under the tube and smoothness hypotheses, [F4] gives the stated global order-two error bound. The continuous invariant is the separate identity [F6]; it is not an assertion about the discrete map.
Staged fixed-regularization PIC error budget
Statement
Fix , grid width , particle count , and . Use uniform RK4 times for integers , with , where is the positive admitted step-width bound in the RK4 tube/defect hypotheses below. Retain all ; no integer value of is required. Assume the smooth fixed-regularization hypotheses of Fixed-regularization periodic PIC force consistency on a smooth density, and that the translated unit-source regularized densities satisfy its derivative bounds uniformly in . Let be the uniform phase-kernel defect from Periodic PIC particle and force errors under a prescribed initial coupling. The consistency theorem gives the explicit estimate where are the constants of that theorem evaluated at a unit point source; translation of the continuum source leaves their derivative suprema unchanged, while the shape quadrature constants are independent of the translate. Define the RK4 empirical measure by . Put using the constants of Fourth-order RK4 trajectory error for the fixed-grid periodic PIC ODE. For exact initialization, a common admissible initial coupling, and the same compact-tube hypotheses, the RK4 empirical measure and regularized characteristic solution satisfy The terms are time error, prescribed initial empirical error, and fixed- mesh-force error. No universal rate for and no singular Vlasov–Poisson limit is asserted.
Facts & Assumptions
Given: The fixed- smooth regularized characteristic solution, the finite grid particle solution, a prescribed initial coupling of finite cost, exact initialization, and the common RK4 tube and stage assumptions.
Fixed-regularization periodic PIC force consistency on a smooth density: the gathered grid field error is bounded by with all constants explicit in the source/field derivatives.
Periodic PIC particle and force errors under a prescribed initial coupling: its proof transports every prescribed initial coupling of cost to an exact-grid/continuum coupling of cost at most .
Fourth-order RK4 trajectory error for the fixed-grid periodic PIC ODE: with , exact initialization gives stacked state error at most at every retained uniform time , even when the grid does not end at .
The coupling definition of the 1-Wasserstein distance: is the infimum of coupling costs for probability measures with finite first moment.
Proof
Apply [F1] to each unit source . The explicit constants in [F1] depend on the source through and suprema of derivatives of its continuum potential and field. Here , and those continuum functions for are translates of the functions for ; their derivative suprema are therefore independent of . For the corrected shifted-product quadrature constant, translating the unit-source field by is absorbed by translating both its spatial variable and the free gather location in the joint supremum. That constant and the other shape quadrature constants therefore do not depend on the source translate. One set of constants gives the stated uniform phase-kernel defect bound, without asserting translation invariance of the finite grid kernel.
Work at a retained time on the stated grid, whose step obeys . Let be the finite support of and , for . For any prescribed coupling of and , define a measure on the second coordinate for each label by . Since , each has mass , and for each the sum over is . By the duplicate-path argument in Periodic PIC particle and force errors under a prescribed initial coupling, all labels in share the same exact path . Thus summing these label measures gives exactly the pushforward , the Dobrushin-transported coupling, where is the continuum characteristic flow. In particular, has the exact grid and continuum marginals. Its cost is at most by [F2]. Replace in each summand by the RK4 state . The resulting measure is a coupling of and , and pointwise triangle inequality increases its cost by at most . By Cauchy–Schwarz this is at most using [F3]. This gives the claimed bound with in place of .
The bound of step 1.2 holds for every prescribed initial coupling. Taking the infimum of gives by [F4], without selecting a minimizing plan. This proves the stated staged error budget.
5 · Examples, counterexamples and false statements
None yet.
Sources
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- A. Myers, P. Colella, and B. Van Straalen, A 4th-Order Particle-in-Cell Method with Phase-Space Remapping for the Vlasov–Poisson Equation, SIAM Journal on Scientific Computing 39(3) (2017)
- David Levy, Introduction to Numerical Analysis, full lecture notes, §§6.2–6.3
- André Massing, TMA4320 Scientific Computation Notes, Composite Quadrature Rules
- R. W. Hockney and J. W. Eastwood, Computer Simulation Using Particles, Sections 2-2-3 and 5-2
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- Benjamin Seibold, MIT 18.336 Lecture 5, Finite Difference Approximation
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