Alphabeta Math
Pipeline-generated
How statement and proof provenance work

The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.

  • Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
  • AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
  • AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.

These labels describe origin, not correctness: citations and verification chips remain separate evidence.

✓ 17 results · all verified · 15 also independently AI-judged
Every result on this page is machine-checked by a proof checker and read in full and owner-audited; the judge is an additional, independent cross-model AI review of the proofs. The 2 not AI-judged were verified by owner audit (typically over a confirmed judge false positive), not failures.

Particle in cell and particle mesh kinetic methods

1 · Prerequisites

2 · Summary

This page fixes a periodic electrostatic particle/grid model on TLd, d∈{1,2,3}, 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 h−d/2 factor.

Two force branches are kept distinct. The ordinary particle-mesh interaction uses a fixed-ε 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 ε, the smooth-density force error is bounded by Ld/2h2−d/2(γN,LCsrc+C3)+Cinth2, with γN,L≤L/4 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 1/12 coefficient without a dimension factor. The regularized continuum force is globally Lipschitz, so the XD-08 Dobrushin estimate propagates a prescribed initial W1 error and a uniform force defect. Classical RK4 contributes a conditional P−1/2CRKΔt4 term on uniform grid times tn=nΔt≤T with 0<Δt≤h0, when the C4 field and all paired stages stay in the declared compact tube and satisfy its local-defect bounds. The grid need not end at T. The resulting estimate is at fixed ε; it asserts no singular ε→0 limit and no universal empirical P−1/2 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 δ0; 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

DefinitionDefinition: AI-adaptedProof: Not applicablejudge pass (gpt-6-luna)Open item page →

Periodic uniform PIC grid and inner product

Definition

Fix a spatial dimension d∈{1,2,3}, side length L>0, and odd integer N≥3. Put h=L/N and TLd=(R/LZ)d. The periodic grid has index set JN=(Z/NZ)d and nodes xj=hj modulo L. A grid scalar is a real array u=(uj)j∈JN; a grid vector has d real components at each node. Define ⟨u,v⟩h=hd∑j∈JNujvj,∥u∥h=⟨u,u⟩h1/2,uˉ=L−dhd∑j∈JNuj. The same pairing is componentwise for grid vectors. For the coordinate vector ea, define the centered field difference and positive periodic Poisson stencil by (Da0u)j=uj+ea−uj−ea2h,(Ahu)j=∑a=1d2uj−uj+ea−uj−eah2. All indices wrap modulo N. The discrete Fourier index set is KN={−N−12,…,N−12}d; the character at k∈KN is j↦e2πik⋅j/N. This odd-grid convention has no Nyquist mode.

LemmaStatement: AI-adaptedProof: AI-generatedprecheck passjudge pass (gpt-6-luna)Open item page →

Composite periodic trapezoidal error in a uniform tensor grid

Statement

Let L>0, odd N≥3, h=L/N, and f∈C2(TLd) for d∈{1,2,3}. With the uniform tensor grid xj=hj and indices taken modulo N, ∣hd∑j∈(Z/NZ)df(xj)−∫[0,L]df(x) dx∣≤Ldh212∑a=1d∥∂aaf∥∞.

Facts & Assumptions

Given: A periodic C2 function and a uniform periodic tensor grid with N cells in each coordinate.

[F1]

Periodic uniform PIC grid and inner product: the periodic grid uses h=L/N, wraps indices modulo N, and its tensor nodes are xj=hj.

Proof

1.1F1algebra

In one coordinate, on a cell [a,a+h], put K(x)=(x−a)(a+h−x)/2. Two integrations by parts give h2(f(a)+f(a+h))−∫aa+hf(x) dx=∫aa+hK(x)f′′(x) dx. Since K≥0 and ∫aa+hK(x) dx=h3/12, the absolute cell error is at most h3∥f′′∥∞/12. Sum over the N periodic cells, whose endpoint contributions assemble into the periodic trapezoid sum h∑jf(jh). This gives the one-dimensional error bound Lh2∥f′′∥∞/12.

2.1F1step 1.1algebra∎

For each coordinate a, let Qa denote the periodic trapezoid operator in that coordinate and Ia integration over that coordinate. Both have sup-norm operator bound at most L, since their weights are nonnegative and sum to L. The telescoping identity Q1⋯Qd−I1⋯Id=∑a=1dQ1⋯Qa−1(Qa−Ia)Ia+1⋯Id holds by cancellation. In the ath summand, the one-dimensional bound from step 1.1 applies after the later-coordinate integrations; differentiation in coordinate a commutes with those integrations. The other d−1 operators contribute at most Ld−1 in sup norm. Thus that summand is bounded by Ldh2∥∂aaf∥∞/12. Summing these bounds gives the displayed estimate, because Q1⋯Qdf=hd∑jf(xj) and I1⋯Idf=∫[0,L]df.

DefinitionDefinition: AI-adaptedProof: Not applicablejudge pass (gpt-6-luna)Open item page →

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 wj:TLd→[0,∞) such that ∑j∈JNwj(x)=1 for every x. For the smooth fixed-ε branch used in the force-error and ODE results, fix ε>0, put αε=e−ε/L and choose the explicit even periodic kernel ηε(x)=L−d∏a=1d1−αε21−2αεcos⁡(2πxa/L)+αε2. For this smooth branch and each x∈TLd, set Zε,h(x)=hd∑j∈JNηε(xj−x),wjε,h(x)=hdηε(xj−x)Zε,h(x). Each factor in the kernel denominator is positive, so Zε,h(x)>0 and the smooth-branch weights are well-defined. For any algebraic shape family above and finitely many particle positions X=(X1,…,XP) with charges q1,…,qP∈R, write Q=∑p=1Pqp and define deposited charge density ρj(X)=h−d∑p=1Pqpwj(Xp)−Q/Ld. For any grid scalar g, its potential gather is (GXg)p=∑jwj(Xp)gj. For any grid vector E, its field gather is defined componentwise by the same weights, (GXE)p=∑jwj(Xp)Ej. On the smooth fixed-ε branch, wj means the explicit family wjε,h above.

TheoremStatement: AI-adaptedProof: AI-generatedprecheck passjudge pass (gpt-6-luna)Open item page →

Periodic centered-difference Poisson solvability and zero-mean gauge

Statement

Use the grid, inner product, and operator Ah of Periodic uniform PIC grid and inner product. Then Ah is self-adjoint and nonnegative, ker⁡Ah consists exactly of constant arrays, and ran⁡Ah={s:sˉ=0}. Consequently, for every compatible source sˉ=0, there is a unique solution ϕ of Ahϕ=s with the gauge ϕˉ=0.

For k∈KN, the Fourier character ek(j)=e2πik⋅j/N is an eigenvector with λh(k)=4h2∑a=1dsin⁡2 ⁣(πkaN). Only k=0 has eigenvalue zero.

Facts & Assumptions

Given: d∈{1,2,3}, odd N≥3, h=L/N, the periodic grid, its weighted inner product, and Ah.

[F1]

Periodic uniform PIC grid and inner product: Ahu is the periodic negative centered Laplacian, and ⟨u,v⟩h=hd∑jujvj.

Proof

1.1givenF1algebra

Reindex the finite periodic sums in each coordinate. For any real arrays u,v, ⟨u,Ahv⟩h=hd∑a=1d∑j(uj+ea−uj)(vj+ea−vj)h2. The right side is symmetric in u,v and is nonnegative when u=v. Thus Ah is self-adjoint and nonnegative.

2.1F1step 1.1algebra

If ⟨u,Ahu⟩h=0, every nonnegative squared difference in step 1.1 is zero, so uj+ea=uj for every j,a. Coordinate steps connect every pair of indices in JN, hence u is constant. Conversely a constant is annihilated by Ah.

3.1step 2.1algebra

For a symmetric finite-dimensional linear map, ran⁡Ah=(ker⁡Ah)⊥: symmetry gives ran⁡Ah⊆(ker⁡Ah)⊥, and rank-nullity makes the dimensions equal. By step 2.1, (ker⁡Ah)⊥ is precisely the zero-mean subspace. Therefore each zero-mean s is in the range, and any two solutions differ by a constant; imposing ϕˉ=0 selects exactly one.

4.1F1algebra∎

For ek(j)=e2πik⋅j/N, substitution in the stencil from [F1] gives (Ahek)j=1h2∑a(2−e2πika/N−e−2πika/N)ek(j)=λh(k)ek(j). The characters form a basis because their finite geometric sums are orthogonal: in one coordinate ∑j=0N−1e2πi(k−ℓ)j/N is N if k=ℓ modulo N and 0 otherwise; taking products gives Nd independent characters. Since every ka∈{−(N−1)/2,…,(N−1)/2}, λh(k)=0 exactly when every ka=0.

TheoremStatement: AI-adaptedProof: AI-generatedprecheck passjudge pass (gpt-6-luna)Open item page →

The periodic Poisson mean-zero pseudoinverse is linear and self-adjoint

Statement

For any real grid array s, define its mean-zero periodic Poisson pseudoinverse by Ah†s:=the unique mean-zero grid array u such that Ahu=s−sˉ 1, where sˉ=L−d⟨s,1⟩h. This definition is well-defined by Periodic centered-difference Poisson solvability and zero-mean gauge. It gives AhAh†s=s−sˉ1, Ah†1=0, 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.

[F1]

Periodic uniform PIC grid and inner product: ⟨u,v⟩h=hd∑jujvj and sˉ=L−d⟨s,1⟩h.

[F2]

Periodic centered-difference Poisson solvability and zero-mean gauge: Ah is self-adjoint, its range is the zero-mean subspace, and every zero-mean source has a unique mean-zero solution.

Proof

1.1F1F2given

For any s, the source s−sˉ1 has mean zero by [F1]. By [F2] it has a unique mean-zero solution; this defines Ah†s, proves AhAh†s=s−sˉ1, and gives Ah†1=0.

2.1F1F2step 1.1algebra

Let a,b∈R and grid arrays s,t. The array aAh†s+bAh†t has mean zero, and applying Ah gives as+bt−(asˉ+btˉ)1=as+bt−as+bt‾1. Uniqueness in [F2] therefore yields Ah†(as+bt)=aAh†s+bAh†t.

3.1F1F2step 1.1step 2.1algebra∎

Both Ah†s and Ah†t have mean zero. Hence, using [F2] and step 1.1, ⟨Ah†s,t⟩h=⟨Ah†s,t−tˉ1⟩h=⟨Ah†s,AhAh†t⟩h=⟨AhAh†s,Ah†t⟩h=⟨s−sˉ1,Ah†t⟩h=⟨s,Ah†t⟩h. The middle equality uses self-adjointness of Ah. This proves that the full-space linear map Ah† is self-adjoint.

AlgorithmAlgorithm: AI-adaptedProof: Not applicablejudge pass (gpt-6-luna)Open item page →

Fourier diagonal solver for the periodic centered-difference Poisson equation

Definition

Input an odd N≥3 periodic grid as in Periodic uniform PIC grid and inner product and a real grid source s. If sˉ≠0, return the status incompatible-source. Otherwise compute the finite discrete Fourier coefficients s^k=N−d∑jsje−2πik⋅j/N. Set ϕ^0=0 and, for each k≠0, set ϕ^k=s^k/λh(k) with λh(k) from Periodic centered-difference Poisson solvability and zero-mean gauge. Return the inverse finite Fourier transform ϕj=∑k∈KNϕ^ke2πik⋅j/N and status success. All arithmetic here is exact real or complex arithmetic; an implementation using floating-point FFTs requires a separate perturbation analysis.

TheoremStatement: AI-adaptedProof: AI-generatedprecheck passjudge pass (gpt-6-luna)Open item page →

Periodic PIC deposition conserves charge and satisfies Poisson compatibility

Statement

For positions X1,…,XP∈TLd and real charges q1,…,qP, define Q=∑pqp and an admissible algebraic assignment shape wj as in Periodic PIC deposition shape and gather operators. Then hd∑j∈JNh−d∑p=1Pqpwj(Xp)=Q. Consequently the neutralized source ρj(X)=h−d∑pqpwj(Xp)−Q/Ld has mean zero and is in the range of the periodic Poisson operator; it therefore has a unique mean-zero potential for the gauge ϕˉ=0 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.

[F1]

Periodic PIC deposition shape and gather operators: ρj=h−d∑pqpwj(Xp)−Q/Ld, and an algebraic assignment has nonnegative weights.

[F2]

Periodic PIC deposition shape and gather operators: every algebraic assignment shape satisfies ∑jwj(x)=1 for every particle location.

[F3]

Periodic centered-difference Poisson solvability and zero-mean gauge: the range of Ah is exactly the zero-mean grid subspace, and every zero-mean source has a unique mean-zero solution.

Proof

1.1givenF1F2algebra

Before subtracting the background, sum the assigned density with cell volume. Since the sum is finite, interchange its particle and grid sums; [F2] gives hd∑jh−d∑pqpwj(Xp)=∑pqp∑jwj(Xp)=∑pqp=Q.

2.1F1step 1.1algebra

The background has total grid charge hd∣JN∣Q/Ld=LdQ/Ld=Q because hd∣JN∣=Ld. Hence ⟨ρ,1⟩h=0, equivalently ρˉ=0.

3.1F3step 2.1∎

By [F3], this zero-mean source has a solution and fixing its mean to zero selects exactly one potential.

TheoremStatement: AI-adaptedProof: AI-generatedprecheck passjudge pass (gpt-6-luna)Open item page →

Periodic PIC regularization gives a smooth compatible Poisson solution

Statement

Let ηε be the explicit product kernel in Periodic PIC deposition shape and gather operators, with αε=e−ε/L∈(0,1). Let μ be a finite signed Borel measure on TLd with mass Q and total variation ∥μ∥TV. Put μ^(k)=∫TLde−2πik⋅y/L dμ(y),κk=2πk/L. Then ηε is strictly positive, even, smooth, and has integral one. The regularized neutralized source ρεμ(x)=∫TLdηε(x−y) dμ(y)−Q/Ld is C∞ with zero mean. Its unique zero-mean periodic solution of −Δϕεμ=ρεμ is the absolutely and uniformly differentiable Fourier series ϕεμ(x)=L−d∑k∈Zd∖{0}(∏a=1dαε∣ka∣)μ^(k)∣κk∣2eiκk⋅x. For every integer r≥0, all spatial derivative series of order at most r converge absolutely and uniformly; their bounds may depend on r,ε,L,∥μ∥TV.

Facts & Assumptions

Given: d∈{1,2,3}, L,ε>0, the product periodic kernel from the shape definition, and a finite real signed measure μ on the torus.

[F1]

Periodic PIC deposition shape and gather operators: ηε(x)=L−d∏a(1−αε2)/(1−2αεcos⁡(2πxa/L)+αε2) with αε=e−ε/L.

Proof

1.1F1algebra

For 0<α<1, the two geometric series ∑n≥0αneinθ and ∑n≥1αne−inθ converge absolutely and uniformly. Adding them and simplifying the denominator gives ∑n∈Zα∣n∣einθ=1+αeiθ1−αeiθ+αe−iθ1−αe−iθ=1−α21−2αcos⁡θ+α2. The denominator is (1−α)2+2α(1−cos⁡θ)>0. The constant Fourier coefficient is 1, 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 ηε.

2.1F1step 1.1algebra

Multiplying the coordinate Fourier series from step 1.1 gives ηε(x)=L−d∑k∈Zd(∏aαε∣ka∣)eiκk⋅x. The product coefficients are absolutely summable, so uniform convergence permits termwise integration against the finite measure μ. The k=0 term is Q/Ld and is removed by neutralization. For each k≠0, ∣μ^(k)∣≤∥μ∥TV. For every integer m≥0, ∑n∈Z(1+∣n∣)mαε∣n∣<∞ by the ratio test; taking products bounds the corresponding d-dimensional weighted sums. Hence the source and every formally differentiated Fourier series converge absolutely and uniformly, proving that ρεμ∈C∞ and has zero mean.

3.1step 2.1algebra∎

For k≠0, −Δeiκk⋅x=∣κk∣2eiκk⋅x. Dividing the nonzero source coefficients in step 2.1 by this positive eigenvalue gives the displayed ϕεμ; 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 C2 potentials solve the equation, their difference u satisfies Δu=0. Periodic integration by parts gives ∫TLd∣∇u∣2=−∫uΔu=0, so ∇u=0, u is constant, and its zero mean forces u=0. This proves uniqueness.

TheoremStatement: AI-adaptedProof: AI-generatedprecheck passjudge pass (gpt-6-luna)Open item page →

Periodic PIC deposition and potential gather are adjoint

Statement

Let ρj+=h−d∑pqpwj(Xp) be the deposited density before background subtraction for an admissible algebraic shape wj of Periodic PIC deposition shape and gather operators, and let GX be its scalar potential gather. For every grid scalar ϕ, ⟨ρ+,ϕ⟩h=∑p=1Pqp(GXϕ)p. For the neutralized density ρ=ρ+−Q/Ld the corresponding identity is ⟨ρ,ϕ⟩h=∑pqp(GXϕ)p−Qϕˉ. 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.

[F1]

Periodic uniform PIC grid and inner product: ⟨u,v⟩h=hd∑jujvj and ϕˉ=L−d⟨ϕ,1⟩h.

[F2]

Periodic PIC deposition shape and gather operators: ρj+=h−d∑pqpwj(Xp) and (GXϕ)p=∑jwj(Xp)ϕj.

Proof

1.1givenF1F2algebra

Substitute [F2] into the left pairing and cancel hdh−d: ⟨ρ+,ϕ⟩h=hd∑jh−d∑pqpwj(Xp)ϕj=∑pqp∑jwj(Xp)ϕj. The finite inner sum is (GXϕ)p by [F2], proving the first identity.

2.1F1step 1.1algebra∎

The background contributes ⟨Q/Ld,ϕ⟩h=QL−dhd∑jϕj=Qϕˉ by [F1]. Subtract this term from step 1.1 to obtain the second identity.

LemmaStatement: AI-adaptedProof: AI-generatedprecheck passjudge pass (gpt-6-luna)Open item page →

Smooth periodic PIC assignment weights have bounded derivatives

Statement

For fixed ε>0 and periodic grid, the smooth-branch weights wjε,h of Periodic PIC deposition shape and gather operators are C∞ on TLd. For every multi-index β, max⁡j∥∂βwjε,h∥∞<∞. They are nonnegative and sum to one at every point.

Facts & Assumptions

Given: The explicit smooth periodic kernel ηε, its sampled normalizer Zε,h, and the displayed weights.

[F1]

Periodic PIC deposition shape and gather operators: Zε,h(x)=hd∑jηε(xj−x) and wjε,h(x)=hdηε(xj−x)/Zε,h(x), where Zε,h(x)>0.

[F2]

Periodic PIC regularization gives a smooth compatible Poisson solution: ηε is strictly positive and C∞ on the compact torus.

Proof

1.1F1F2algebra

By [F2], each numerator in [F1] is a smooth periodic function. The finite sum defining Zε,h is smooth and strictly positive; compactness gives a positive minimum. The reciprocal of a positive smooth function is smooth, so every ratio wjε,h is C∞. Each derivative is continuous on the compact torus and hence bounded; there are finitely many indices j, so their maximum is finite.

2.1F1step 1.1algebra∎

Each weight is nonnegative by [F1] and positivity of ηε. Summing [F1] over j gives ∑jwjε,h(x)=Zε,h(x)/Zε,h(x)=1.

TheoremStatement: AI-adaptedProof: AI-generatedprecheck passjudge pass (gpt-6-luna)Open item page →

Periodic Poisson residual controls the gathered particle force

Statement

Let s be a zero-mean grid source and let ϕ be the zero-mean solution of Ahϕ=s. Let ϕ~ be any approximate grid potential, and set r=s−Ahϕ~; then rˉ=0. Define γN,L=max⁡k∈KNk≠0(∑a=1dh−2sin⁡2(2πka/N))1/24h−2∑a=1dsin⁡2(πka/N). For the centered field operator D0=(Da0)a=1d, ∥D0(ϕ−ϕ~)∥h≤γN,L∥r∥h,γN,L≤h2sin⁡(π/N)≤L4. For any particle location xp and charge-to-mass ratio qp/mp with mp>0, the force gather using the weights of Periodic PIC deposition shape and gather operators obeys ∣qpmpGxp ⁣(−D0ϕ+D0ϕ~)∣≤∣qp∣mph−d/2γN,L∥r∥h. Thus the norm in the force certificate is the actual finite-grid inverse/derivative norm; the explicit h−d/2 conversion is retained when passing from grid L2 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.

[F1]

Periodic uniform PIC grid and inner product: Ah is the centered periodic stencil and Da0 is its centered field difference.

[F2]

Periodic centered-difference Poisson solvability and zero-mean gauge: Ah has kernel the constants and range the zero-mean arrays; the Fourier characters form a basis, and on mode k≠0, Ah has eigenvalue λh(k)=4h−2∑asin⁡2(πka/N)>0. The symbol of Da0 is derived from its stencil in [F1].

[F3]

Periodic PIC deposition shape and gather operators: GxpE=∑jwj(xp)Ej with nonnegative weights of total one.

[F4]

The periodic Poisson mean-zero pseudoinverse is linear and self-adjoint: for zero-mean r, Ah†r is the unique mean-zero solution.

Proof

1.1F1F2F4givenalgebra

Let δϕ=ϕ−ϕ~. Since Ahϕ=s, Ahδϕ=r. The range statement in [F2] gives Ahϕ~‾=0, so rˉ=sˉ−Ahϕ~‾=0. By [F4], Ah†r is the mean-zero solution of Ahu=r; hence δϕ−Ah†r lies in ker⁡Ah and is constant by [F2]. Expand r in the finite orthogonal Fourier-character basis from [F2]. On each nonzero mode, Ah†r has coefficient r^k/λh(k) by [F2], while the possible constant difference is annihilated by D0.

2.1F1F2F4step 1.1algebra

For a Fourier character ek, direct substitution into the centered difference from [F1] gives (Da0ek)j=ek(j+ea)−ek(j−ea)2h=e2πika/N−e−2πika/N2hek(j)=isin⁡(2πka/N)hek(j). By [F2], Ah has eigenvalue λh(k)>0 on every nonzero mode, so [F4] implies that Ah†r has coefficient r^k/λh(k) there. Thus the vector multiplier of D0Ah† has Euclidean modulus (∑ah−2sin⁡2(2πka/N))1/2/λh(k). Parseval's identity for this finite orthogonal basis therefore gives the first bound with the displayed maximum γN,L.

3.1F2step 2.1algebra

Put S=∑asin⁡2(πka/N). For k≠0, some coordinate satisfies 1≤∣ka∣≤(N−1)/2 because N is odd and k∈KN. Hence π/N≤π∣ka∣/N<π/2; monotonicity of sine on [0,π/2] gives S≥sin⁡2(π/N)>0. Since ∣sin⁡(2θ)∣≤2∣sin⁡θ∣, the numerator in the definition of γ is at most 2h−1S, while its denominator is 4h−2S. Their ratio is at most h/(2S)≤h/(2sin⁡(π/N)). For N≥3, π/N≤π/2 and concavity of sine gives sin⁡(π/N)≥2/N, so this is at most hN/4=L/4.

4.1F3step 2.1step 3.1algebra∎

Cauchy–Schwarz gives ∣GxpE∣≤(∑jwj(xp)2)1/2(∑j∣Ej∣2)1/2. Nonnegativity and ∑jwj=1 imply ∑jwj2≤1, while ∑j∣Ej∣2=h−d∥E∥h2. Apply this to E=D0(ϕ−ϕ~) and use steps 2.1–3.1. Multiplying by ∣qp∣/mp gives the gathered-force estimate.

DefinitionDefinition: AI-adaptedProof: Not applicablejudge pass (gpt-6-luna)Open item page →

Fixed-regularization periodic PIC pair kernel

Definition

Fix ε>0, d∈{1,2,3}, L>0, and a regularized one-species model with total charge Q and total mass M>0. Let c=Q/M. For each position y∈TLd, define the continuous unit-source field by taking the zero-mean solution ϕεy from Periodic PIC regularization gives a smooth compatible Poisson solution for μ=δy, and setting Eε(x,y)=∫TLdηε(z−x)(−∇ϕεy(z)) dz=1Ld∑k∈Zd∖{0}−iκk∣κk∣2(∏a=1dαε2∣ka∣)eiκk⋅(x−y). The series converges absolutely with all derivatives by geometric summability. For the grid branch, let ϕhy be the mean-zero solution of Ahϕhy=h−dwε,h(y)−L−d1 whose compatibility follows from Periodic PIC deposition conserves charge and satisfies Poisson compatibility, and put Eε,h(x,y)=∑j∈JNwjε,h(x)(−D0ϕhy)j. If z=(x,v) and z′=(y,w) are lifted phase-space states in R2d, the continuum and grid mean-field kernels are Kε(z,z′)=(v,cQ Eε(x,y)),Kε,h(z,z′)=(v,cQ Eε,h(x,y)). The spatial components are periodic in their position variables. A finite equal-weight system z˙p=P−1∑r=1PKε,h(zp,zr) uses particle charge Q/P and mass M/P. No claim about the limit ε→0 is part of this definition.

LemmaStatement: AI-adaptedProof: AI-generatedprecheck passjudge pass (gpt-6-luna)Open item page →

Partition and quadrature bounds for a periodic PIC shape

Statement

Let d,L,N,h,ηε,Zε,h, and wjε,h 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 μ on the torus, write ∥μ∥TV=∣μ∣(TLd) and define (Phεμ)j=h−d∫TLdwjε,h(x) dμ(x). Put Cη=Ld12∑a=1d∥∂aaηε∥∞,Zmin⁡=Ldmin⁡x∈TLdηε(x)>0. Then ∑jwjε,h(x)=1 for every x, and Zε,h(x)≥Zmin⁡. The measure assignment satisfies ∣(Phεμ)j−(ηε∗μ)(xj)∣≤Cη∥ηε∥∞Zmin⁡∥μ∥TVh2. For g∈C2(TLd;Rm) with finite m≥1 (including scalar m=1), use the Euclidean norm ∣⋅∣2 and ∥g∥∞=sup⁡y∣g(y)∣2. Define the translation-uniform constant Cη,g=Ld12∑a=1dsup⁡x,y∈TLd∣∂yaya[ηε(y−x)g(y)]∣2. The gathered nodal samples satisfy the explicit bound ∣∑jwjε,h(x)g(xj)−(ηε∗g)(x)∣≤Cη,g+Cη∥g∥∞Zmin⁡h2(x∈TLd).

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.

[F1]

Periodic uniform PIC grid and inner product: h=L/N, the grid is the uniform periodic tensor grid, and hd∑j is its volume-weighted sum.

[F2]

Periodic PIC deposition shape and gather operators: Zε,h(x)=hd∑jηε(xj−x) and wjε,h(x)=hdηε(xj−x)/Zε,h(x).

[F3]

Composite periodic trapezoidal error in a uniform tensor grid: for f∈C2(TLd), the uniform periodic tensor-grid trapezoid error is at most (Ldh2/12)∑a∥∂aaf∥∞.

Proof

1.1F1F2algebra

Strict positivity of ηε implies Zε,h(x)>0. Summing the weights in [F2] gives ∑jwjε,h(x)=Zε,h(x)/Zε,h(x)=1, and each weight is nonnegative. Since every summand in Z is at least hdmin⁡ηε, and hd∣JN∣=Ld, Zε,h(x)≥Zmin⁡.

1.2F1F3F4algebra

For fixed x, put fx(y)=ηε(y−x)g(y) and let qx=hd∑jfx(xj)−∫fx(y) dy∈Rm. For every Euclidean unit vector v, apply the scalar estimate [F3] to v⋅fx. Since ∣v⋅∂aafx∣≤∣∂aafx∣2, this gives ∣v⋅qx∣≤Cη,gh2. If qx≠0, take v=qx/∣qx∣2; if qx=0 the bound is immediate. Thus ∣qx∣2≤Cη,gh2, with no dimension factor. The integral is (ηε∗g)(x) because the kernel is even. Projecting that integral onto its unit direction in the same way, nonnegativity and the unit integral [F4] give ∣(ηε∗g)(x)∣2≤∥g∥∞. The defining supremum is over both x and y: translation of the kernel alone does not translate g.

2.1F1F2F3F4step 1.1algebra

Apply [F3] to y↦ηε(y−x); translation does not change its second-derivative suprema and its integral is 1 by [F4]. Thus ∣Zε,h(x)−1∣≤Cηh2. By [F2], (Phεμ)j=∫TLdηε(xj−x)Zε,h(x) dμ(x). Subtract (ηε∗μ)(xj), factor ηε(xj−x), and use ∣Z−1−1∣=∣Z−1∣/Z≤Cηh2/Zmin⁡. Integrating against the total variation measure gives the first bound.

3.1F2step 1.1step 1.2algebra∎

The gathered sum in the Statement is hd∑jfx(xj)/Zε,h(x) by [F2]. Subtract the integral, use the quadrature error from step 1.2 divided by Z≥Zmin⁡, and bound the Euclidean norm of the normalization correction by ∣Z−1−1∣∥g∥∞≤Cηh2∥g∥∞/Zmin⁡. This is the second bound.

Remarks

The shifted-product constant is finite and can be bounded entirely by separate derivative suprema: Cη,g≤Ld12∑a=1d(∥∂aaηε∥∞∥g∥∞+2∥∂aηε∥∞∥∂ag∥∞+∥ηε∥∞∥∂aag∥∞). This follows by differentiating the product twice and using the Euclidean triangle inequality. The unshifted product ηε(y)g(y) alone does not supply a uniform bound for all gather locations x.

TheoremStatement: AI-adaptedProof: AI-generatedprecheck passjudge pass (gpt-6-luna)Open item page →

The periodic PIC Poisson algorithm returns the unique gauged solution

Statement

For every real zero-mean source s 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 ϕ satisfying Ahϕ=s and ϕˉ=0. 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.

[F1]

Periodic centered-difference Poisson solvability and zero-mean gauge: the Fourier characters diagonalize Ah, λh(k)>0 for k≠0, and a zero-mean source has a unique zero-mean solution.

[F2]

Fourier diagonal solver for the periodic centered-difference Poisson equation: the procedure checks sˉ, sets ϕ^0=0, divides each other coefficient by λh(k), and applies the inverse finite Fourier transform.

Proof

1.1F1F2algebra

The source and grid contain finitely many real numbers, so computing its mean and finite Fourier transform terminates. If sˉ≠0, then the constant Fourier coefficient of s is nonzero while Ah annihilates constants and has zero constant coefficient on every output, so Ahϕ=s is impossible.

2.1F1F2step 1.1algebra

If sˉ=0, its zero Fourier coefficient is zero. By [F1], every other eigenvalue is positive, so all divisions in [F2] are defined. For real input, s^−k=s^k‾ and λh(−k)=λh(k); therefore the returned coefficients have the same conjugate symmetry, and pairing the k and −k terms in the inverse transform shows every ϕj is real. For every nonzero mode, the returned coefficient satisfies λh(k)ϕ^k=s^k, and the zero mode satisfies 0=s^0. Inverse Fourier transformation therefore gives Ahϕ=s and ϕ^0=0 gives ϕˉ=0.

3.1F1step 2.1∎

The coefficient list is finite, hence inverse transformation terminates. Uniqueness of the returned gauged solution follows from [F1].

AlgorithmAlgorithm: AI-adaptedProof: Not applicableOpen item page →

Classical RK4 step for the fixed-grid regularized PIC particle ODE

Definition

Input an odd periodic grid with N≥3, a fixed ε>0, particle count P≥1, total charge Q, total mass M>0, a state Z=(z1,…,zP) with zp=(Xp,Vp)∈R2d, and step Δt>0. 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: Fp(Z)=1P∑r=1PKε,h(zp,zr). At each of four classical RK stages, evaluate this complete field at that stage's particle state: deposit every charge Q/P, subtract the neutralizing background, solve its zero-mean Poisson system with Fourier diagonal solver for the periodic centered-difference Poisson equation, compute Eh=−D0ϕh, and gather Eh at each stage position Xp. Multiply the gathered field by c=Q/M and return Fp=(Vp,c(GXEh)p), using that stage's velocity Vp. With k1=F(Z), k2=F(Z+Δt2k1), k3=F(Z+Δt2k2), and k4=F(Z+Δt k3), return Z+=Z+Δt6(k1+2k2+2k3+k4). 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.

DefinitionDefinition: AI-adaptedProof: Not applicablejudge pass (gpt-6-luna)Open item page →

Matched variational Hamiltonian branch for periodic PIC

Definition

Use the smooth assignment branch of Periodic PIC deposition shape and gather operators, real particle charges qp, positive masses mp, and its neutralized grid density ρ(X). Let ϕ(X)=Ah†ρ(X) denote the unique mean-zero solution from Periodic centered-difference Poisson solvability and zero-mean gauge. Define the grid potential energy Uh(X)=12⟨ρ(X),Ah†ρ(X)⟩h=12⟨ρ(X),ϕ(X)⟩h and the finite-dimensional separable Hamiltonian Hh(X,p)=12pTM−1p+Uh(X),M=diag⁡(m1Id,…,mPId). The corresponding canonical ODE is X˙=M−1p, p˙=−∇XUh(X). Its force is the variational force obtained by differentiating the deposited shape in Uh; this definition does not identify that force with ordinary field interpolation GXE.

TheoremStatement: AI-adaptedProof: AI-generatedprecheck passjudge pass (gpt-6-luna)Open item page →

Fixed-regularization periodic PIC kernels are globally Lipschitz

Statement

For fixed ε>0, odd grid size N, and Q,M as in Fixed-regularization periodic PIC pair kernel, define Mxε,h=sup⁡x,y∈TLd∥Dx(cQEε,h)(x,y)∥op,Myε,h=sup⁡x,y∈TLd∥Dy(cQEε,h)(x,y)∥op and Lε,h=max⁡{1,Mxε,h,Myε,h}. These are finite mesh- and regularization-dependent constants. The phase kernel Kε,h is globally Lipschitz in the two-variable convention ∣Kε,h(z,z′)−Kε,h(z~,z~′)∣≤Lε,h(∣z−z~∣+∣z′−z~′∣). The continuum kernel Kε is also globally Lipschitz with the explicit admissible constant Lε=max⁡{1,∣cQ∣Ld∑k∈Zd∖{0}∏a=1dαε2∣ka∣}.

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.

[F1]

Fixed-regularization periodic PIC pair kernel: Eε,h(x,y) is a finite weighted sum of entries of the fixed matrix −D0Ah†; Eε is the displayed absolutely convergent Fourier series.

[F2]

Smooth periodic PIC assignment weights have bounded derivatives: every fixed-grid weight is C∞ with all derivatives bounded on the compact torus.

[F3]

The periodic Poisson mean-zero pseudoinverse is linear and self-adjoint: Ah† 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 −D0Ah†.

Proof

1.1F1F2F3givenalgebra

By [F2], each grid weight is smooth and has bounded derivatives of every finite order. By [F1], Eε,h is a finite sum of products of such weights and fixed matrix entries, so it is C∞ and all its derivatives are bounded. In particular, both derivative suprema Mxε,h,Myε,h are finite. More explicitly, if Bjk are the vector entries of −D0Ah† and Cw=max⁡j∥∇wj∥∞, then Mxε,h≤∣cQ∣h−dCw∑j,k∣Bjk∣∥wk∥∞,Myε,h≤∣cQ∣h−dCw∑j,k∣Bjk∣∥wj∥∞, which are finite explicit bounds for the defining suprema.

1.2F1algebra

Any finite-order derivative of the continuum series multiplies each coefficient by finitely many components of κk. The coefficient already has one factor ∣κk∣−1; after r additional derivatives, its magnitude is bounded by a constant times (1+∣k∣)r∏aαε2∣ka∣. 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 ∣κk∣ cancels the denominator ∣κk∣2, so its norm is bounded by the displayed sum times ∣cQ∣/Ld. Periodicity permits the same bounds on Euclidean lifts.

2.1givenstep 1.1step 1.2algebra∎

First change z=(x,v) while holding z′=(y,w) fixed. The output difference has components (v−v~,cQ(Eε,h(x,y)−Eε,h(x~,y))). Its squared Euclidean norm is at most ∣v−v~∣2+(Mxε,h)2∣x−x~∣2, hence its norm is at most max⁡{1,Mxε,h}∣z−z~∣. Next change z′ while holding z~ fixed; this changes only the field component, by at most Myε,h∣z′−z~′∣. Adding these bounds gives the stated two-variable estimate with Lε,h. The same block-norm calculation using the continuum derivative bounds from step 1.2 gives the estimate with Lε.

TheoremStatement: AI-adaptedProof: AI-generatedprecheck passjudge pass (gpt-6-luna)Open item page →

Fixed-regularization periodic PIC force consistency on a smooth density

Statement

Fix ε>0 and a finite signed Borel measure μ on TLd with total mass Q. Let ρε=ηε∗μ−Q/Ld and let ϕε be its unique zero-mean periodic Poisson potential from Periodic PIC regularization gives a smooth compatible Poisson solution. Put Eε=−∇ϕε. 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 sh=Phεμ−Q/Ld, let Ahϕh=sh with ϕˉh=0, set Eh,j=−D0ϕh, and gather GhEh using the same shape. Define Cdep=Cη∥ηε∥∞Zmin⁡∥μ∥TV,CFD=112∑a=1d∥∂a4ϕε∥∞,Csrc=Cdep+CFD, where Cη,Zmin⁡ are from Partition and quadrature bounds for a periodic PIC shape. Put C3=16(∑a=1d∥∂a3ϕε∥∞2)1/2,Cint=Cη,E+∥Eε∥∞CηZmin⁡,Cη,E=Ld12∑a=1dsup⁡x,y∈TLd∣∂yaya[ηε(y−x)Eε(y)]∣2. For vector fields, ∥V∥∞=sup⁡x∣V(x)∣2 (the maximum of Euclidean lengths for grid fields); the derivatives in Cη,E use this same Euclidean norm. Then the source sh is compatible and ∥GhEh−ηε∗Eε∥∞≤Ld/2h2−d/2(γN,LCsrc+C3)+Cinth2. The displayed γN,L is the actual finite-grid inverse/derivative norm of Periodic Poisson residual controls the gathered particle force and satisfies γN,L≤L/4. Thus for d∈{1,2,3} this fixed-ε force error tends to zero as h→0. Every constant depends on the stated smooth regularized solution and kernel; this is not an ε→0 estimate.

Facts & Assumptions

Given: A zero-mean periodic density, its stated smooth potential and field, a fixed ε>0, and odd periodic grids with the specified shape and Poisson operators.

[F1]

Partition and quadrature bounds for a periodic PIC shape: the smooth weights are nonnegative and normalized; assigned samples differ from (ηε∗μ)(xj) by at most Cη∥ηε∥∞∥μ∥TVh2/Zmin⁡, and gathered samples of a C2 real vector field differ from its ηε convolution by the stated Euclidean trapezoidal bound with translation-uniform shifted-product derivatives.

[F2]

Periodic centered-difference Poisson solvability and zero-mean gauge: Ah has range exactly the zero-mean arrays and a unique mean-zero solution for every such source.

[F3]

Periodic Poisson residual controls the gathered particle force: if Ahϕ=s is the zero-mean solution and r=s−Ahϕ~, then rˉ=0 and ∥D0(ϕ−ϕ~)∥h≤γN,L∥r∥h, with γN,L≤L/4.

[F4]

Periodic PIC regularization gives a smooth compatible Poisson solution: ηε∗μ−Q/Ld has a unique zero-mean C∞ periodic potential obtained by dividing each nonzero Fourier coefficient by its positive Laplacian eigenvalue.

Proof

1.1F1F2F4givenalgebra

The assigned source has mean zero: by the partition identity in [F1], hd∑j(Phεμ)j=∫∑jwj(x) dμ(x)=Q, 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 rh=sh−Ah(ϕε∣h),∥rh∥∞≤Csrch2. Here [F1] bounds the measure-assignment error by Cdeph2, and for each coordinate the centered second difference has remainder at most h2∥∂a4ϕε∥∞/12, whose sum is CFDh2.

2.1F1F3step 1.1algebra

The weighted grid norm satisfies ∥rh∥h≤Ld/2∥rh∥∞ because the grid has Nd points and hdNd=Ld. In [F3], take s=sh, ϕ=ϕh, and ϕ~=ϕε∣h; its residual is exactly rh from step 1.1, so ∥D0(ϕh−ϕε∣h)∥h≤γN,LLd/2Csrch2. Taylor's theorem for the centered first difference gives ∥D0(ϕε∣h)−(∇ϕε)∣h∥∞≤C3h2, hence its grid L2 norm is at most Ld/2C3h2.

3.1F1step 2.1algebra

For any nonnegative normalized weights, ∑jwj(x)2≤1, so Cauchy–Schwarz gives ∣GxV∣≤h−d/2∥V∥h. Apply this to the two grid-field errors in step 2.1. Their gathered contribution is at most Ld/2h2−d/2(γN,LCsrc+C3).

4.1F1step 3.1algebra∎

The remaining difference is gathering the exact nodal samples Eε(xj) instead of the continuous field. Apply the Euclidean-vector bound of [F1] with m=d and g=Eε. Its translation-uniform constant is exactly Cη,E in the Statement, so this difference is at most Cinth2. The unit-vector projection proof in that supplier introduces no d factor. Add this to step 3.1 to get the displayed estimate. Since γN,L≤L/4 and 2−d/2>0 for d≤3, both terms tend to zero.

TheoremStatement: AI-adaptedProof: AI-generatedprecheck passjudge pass (gpt-6-luna)Open item page →

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 ϕ=Ah†ρ(X). Its position gradient is ∇XpUh(X)=qp∑j∈JN∇wjε,h(Xp)ϕj. Along every differentiable solution of X˙=M−1p, p˙=−∇XUh(X), the continuous semidiscrete energy Hh(X(t),p(t)) 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 Ah†, positive masses, and a differentiable solution of the stated Hamiltonian ODE.

[F1]

Matched variational Hamiltonian branch for periodic PIC: Uh=12⟨ρ,Ah†ρ⟩h, Hh=12pTM−1p+Uh, and the ODE is X˙=M−1p, p˙=−∇Uh.

[F2]

The periodic Poisson mean-zero pseudoinverse is linear and self-adjoint: Ah† is linear, maps a source to the unique mean-zero solution of its mean-zero part, and is self-adjoint.

[F3]

Periodic PIC deposition conserves charge and satisfies Poisson compatibility: the neutralized density ρ(X) has zero mean.

[F4]

Smooth periodic PIC assignment weights have bounded derivatives: the smooth weights are differentiable and satisfy ∑jwjε,h(x)=1 for every x.

Proof

1.1F1F2F3F4givenalgebra

For a variation δX, differentiating the partition identity in [F4] gives ∑j∇wjε,h(Xp)=0 for each p. Thus the finite variation (Dρ(X)[δX])j=h−d∑pqp∇wjε,h(Xp)⋅δXp has zero mean; ρ(X) itself has zero mean by [F3]. Since Ah† is self-adjoint on the zero-mean subspace by [F2], differentiating Uh gives DUh(X)[δX]=12⟨Dρ,Ah†ρ⟩h+12⟨ρ,Ah†Dρ⟩h=⟨Dρ,ϕ⟩h=∑pqp(∑j∇wj(Xp)ϕj)⋅δXp. Identifying coefficients of arbitrary δXp yields the displayed gradient.

2.1F1step 1.1givenalgebra∎

Differentiate Hh along a solution. Symmetry of M−1 gives ddtHh=(∇Uh)⋅X˙+(M−1p)⋅p˙=(∇Uh)⋅M−1p−(M−1p)⋅∇Uh=0. Therefore Hh is constant in time on the solution interval.

TheoremStatement: AI-adaptedProof: AI-generatedprecheck passjudge pass (gpt-6-luna)Open item page →

Periodic PIC particle and force errors under a prescribed initial coupling

Statement

Fix ε>0 and grid width h. Let Kε and Kε,h be the phase kernels of Fixed-regularization periodic PIC pair kernel, and let Lε be the two-variable global Lipschitz constant of Fixed-regularization periodic PIC kernels are globally Lipschitz. Suppose a probability characteristic solution μt for Kε and an equal-weight finite-particle grid solution with empirical law νth are defined on [0,T], with finite first moments and integrable path suprema. Assume the uniform grid-force defect δε,h=sup⁡z,z′∈R2d∣Kε,h(z,z′)−Kε(z,z′)∣<∞. If δ0=W1(ν0h,μ0) is the actual initial empirical-measure error, then for every 0≤t≤T, W1(νth,μt)≤e2Lεt(δ0+tδε,h). No rate for δ0 is implied: in particular, no dimension-free P−1/2 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.

[F1]

Fixed-regularization periodic PIC pair kernel: the equal-weight particle system is z˙i=P−1∑jKε,h(zi,zj) and the continuum kernel is Kε.

[F2]

Fixed-regularization periodic PIC kernels are globally Lipschitz: Kε,h and Kε have two-variable Lipschitz constants Lε,h and Lε, respectively, in the stated sum convention.

[F3]

The coupling definition of the 1-Wasserstein distance: W1 is the infimum of ∫∣z−z′∣ dπ over Borel probability couplings of finite-first-moment laws; no minimizing coupling is part of the definition.

[F4]

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.

[F5]

Gronwall's integral inequality with variable and constant coefficients: if u(t)≤b∫0tu(s) ds for a nonnegative continuous u and b≥0, then u(t)=0.

[F6]

Probability W1 stability under bounded force defects: for two characteristic flows of the same kernel with defects bounded by ημ,ην, every initial coupling of cost D0 gives transported cost at most e2Lεt(D0+(ημ+ην)t).

Proof

1.1F1F2F5givenalgebra

If particles i and j start at the same phase state, subtract their grid equations. The terms with common second argument satisfy ∣zi(t)−zj(t)∣≤Lε,h∫0t∣zi(s)−zj(s)∣ ds, 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 Xt(a) for each distinct atom a of ν0h, independent of the label representing a.

2.1F1F2F4givenstep 1.1algebra

Extend Xt by the identity off the finite support of ν0h. 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 [0,T]. Also νth=(Xt)#ν0h. For a support point a, the finite system equation can be written as rh(t,a)=∫(Kε,h(Xt(a),Xt(b))−Kε(Xt(a),Xt(b)))dν0h(b). Thus X˙t(a)=∫Kε(Xt(a),Xt(b))dν0h(b)+rh(t,a). This measurable residual has norm at most δε,h by the uniform defect hypothesis. The continuum characteristic flow has residual zero.

3.1F2F3F4F6step 1.1step 2.1

Fix any prescribed initial coupling π0 of ν0h and μ0 with cost D0. Apply [F6] to the two characteristic flows in steps 1.1 and 2.1, with ημ=0 and ην=δε,h. The transported coupling has cost at most e2Lεt(D0+tδε,h), so by [F3] the same expression bounds W1(νth,μt).

4.1F3step 3.1∎

Step 3.1 holds for every initial coupling. Taking the infimum over its initial cost D0 gives δ0 by [F3], yielding the claimed inequality. No coupling attaining the infimum is selected.

TheoremStatement: AI-adaptedProof: AI-generatedprecheck passOpen item page →

Fourth-order RK4 trajectory error for the fixed-grid periodic PIC ODE

Statement

Fix ε>0, grid width h, particle count P≥1, and final time T>0. Apply classical RK4 from Classical RK4 step for the fixed-grid regularized PIC particle ODE to the autonomous finite-dimensional PIC system Z˙=Fε,h(Z),(Fε,h(Z))p=1P∑r=1PKε,h(zp,zr),zp=(Xp,Vp). Let Z(t) be an exact solution on [0,T]. Assume Fε,h is C4 on an open set containing a common compact convex tube T; the exact path, all numerical states, and every RK4 stage generated from both the exact and numerical starting states lie in T; and all derivatives of Fε,h through order four are bounded there. Choose a uniform step 0<ht≤h0 with h0>0, initialize exactly, and retain every time tk=kht≤T for integers k≥0; T/ht need not be an integer. The stage hypotheses concern each step ending by T. Put LF=2Lε,h,L∗=LFeLFh0, and choose C4 so that the exact-start defect on this tube is at most C4s5 for admitted steps 0<s≤h0 ending by T. The local-order supplier gives such constants for a sufficiently small positive h0 under the stated smoothness and tube assumptions. Then, for every grid time tk=kht≤T, ∥Zk−Z(tk)∥2≤{C4eL∗T−1L∗ht4,L∗>0,C4Tht4,L∗=0. The tube, exact-solution, and stage-admissibility hypotheses are conditional; this is a fixed-ε, 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 0<ht≤h0 and the stated uniform local-defect bound.

[F1]

Fixed-regularization periodic PIC kernels are globally Lipschitz: the two-variable phase kernel has constant Lε,h in the sum norm convention.

[F2]

Orders and scalar stability functions of Euler, midpoint, and classical RK4: classical RK4 has uniform local order at least four for a C4 autonomous field with bounded derivatives and its exact-start stages in a common compact convex tube.

[F3]

One-step Lipschitz bound for classical RK4 on an admitted tube: if the field is LF-Lipschitz on the stages from two admitted starts, the one-step RK4 map has bound (1+L∗ht)∥u−v∥2 with L∗=LFeLFh0.

Proof

1.1F1F2givenalgebra

The state field is a mean over P pair interactions. For two stacked states Z,Z~, [F1] gives ∣(Fε,h(Z))p−(Fε,h(Z~))p∣≤Lε,h∣zp−z~p∣+Lε,hP∑r∣zr−z~r∣. Taking the stacked Euclidean norm and applying finite Cauchy–Schwarz to the average term shows ∥Fε,h(Z)−Fε,h(Z~)∥2≤2Lε,h∥Z−Z~∥2=LF∥Z−Z~∥2. The C4 tube hypotheses therefore permit [F2], which gives a uniform exact-start local defect at most C4ht5.

2.1F2F3givenstep 1.1algebra

Let Ek=∥Zk−Z(tk)∥2. 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 (1+L∗ht)Ek. Adding the exact-start defect from step 1.1 by the triangle inequality gives Ek+1≤(1+L∗ht)Ek+C4ht5, with E0=0.

3.1step 2.1algebra∎

Unroll step 2.1 over the first k steps to get Ek≤C4ht5∑j=0k−1(1+L∗ht)j, including the empty sum at k=0. If L∗>0, the finite geometric sum gives Ek≤C4ht4[(1+L∗ht)k−1]/L∗. Since 1+u≤eu for u≥0 and kht=tk≤T, this is at most C4ht4(eL∗T−1)/L∗. If L∗=0, the sum gives Ek≤C4kht5=C4tkht4≤C4Tht4. These are the claimed bounds on every retained partial-grid time, without requiring a step at T.

TheoremStatement: AI-adaptedProof: AI-generatedprecheck passjudge pass (gpt-6-luna)Open item page →

Leapfrog geometry and finite-time order for the matched periodic PIC Hamiltonian

Statement

Let Hh(X,p)=12pTM−1p+Uh(X) be Matched variational Hamiltonian branch for periodic PIC, with M symmetric positive definite and Uh∈C3(RdP) periodic. Let ΦΔt=KΔt/2∘DΔt∘KΔt/2 be the leapfrog map with the kick and drift conventions of One-step leapfrog map as force and drift shears. Then:

  1. For every signed step Δt, ΦΔt−1=Φ−Δt.
  2. Every step is symplectic.
  3. Assuming Countable Choice, every step preserves Lebesgue volume on phase space.
  4. On a finite interval [0,T], 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 CVTeLTΔt2 for exact initialization and sufficiently small Δt=T/n.

The exact continuous flow conserves Hh by The matched periodic PIC grid force is a gradient and its ODE conserves energy. No claim says the leapfrog map preserves Hh 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.

[A1]

Countable Choice is assumed only in claim 3 (The Axiom of Countable Choice (ACω)).

[F1]

One-step leapfrog map as force and drift shears: Ka(q,p)=(q,p−a∇Uh(q)), Db(q,p)=(q+bM−1p,p), and ΦΔt=KΔt/2∘DΔt∘KΔt/2.

[F2]

Canonical kick and drift shears satisfy the symplectic Jacobian identity: for Uh∈C2 and M symmetric positive definite, each kick and drift Jacobian satisfies ATJA=J.

[F3]

Local leapfrog and kick-then-drift symplectic Euler are symplectic: the admitted local leapfrog composition is C1 and symplectic under those hypotheses.

[F4]

Local and finite-time trajectory error for symplectic Euler and leapfrog: on a common compact convex tube with Uh∈C3, bounded derivatives through order two of the Hamiltonian vector field, exact initialization, and admitted stages, leapfrog has finite-time global error at most CVTeLTΔt2.

[F5]

A C^1 diffeomorphism satisfies the change-of-variables formula for nonnegative Lebesgue measurable functions: under Countable Choice a C1 diffeomorphism changes Lebesgue measure by the absolute value of its Jacobian determinant.

[F6]

The matched periodic PIC grid force is a gradient and its ODE conserves energy: the continuous semidiscrete Hamiltonian flow conserves the exact Hh.

Proof

1.1F1algebra

The kicks and drifts in [F1] have inverses K−a and D−b. Reversing the composition gives ΦΔt−1=K−Δt/2∘D−Δt∘K−Δt/2=Φ−Δt. All maps are global on the periodic lift, so no intermediate-domain restriction is lost.

1.2F1F2F3given

The potential is smooth, hence C2, and M 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].

1.3A1F1F5givenalgebra

The Jacobian of a kick is (I0−Δt2∇2UhI) and the Jacobian of a drift is (IΔtM−10I). Each is block triangular with identity diagonal blocks, so its determinant is 1; multiplicativity gives det⁡DΦΔt=1. The global kick/drift maps are C1 diffeomorphisms, so [A1] permits applying [F5] to the map and its inverse, proving preservation of Lebesgue volume.

2.1F4F6given∎

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.

TheoremStatement: AI-adaptedProof: AI-generatedprecheck passOpen item page →

Staged fixed-regularization PIC error budget

Statement

Fix ε>0, grid width h, particle count P≥1, and T>0. Use uniform RK4 times tn=nΔt for integers n≥0, with 0<Δt≤h0, where h0 is the positive admitted step-width bound in the RK4 tube/defect hypotheses below. Retain all tn≤T; no integer value of T/Δt 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 ηε(⋅−y)−L−d satisfy its derivative bounds uniformly in y. Let δε,h 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 δε,h≤∣cQ∣[Ld/2h2−d/2(γN,LCsrc(1)+C3(1))+Cint(1)h2], where Csrc(1),C3(1),Cint(1) 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 νP,hΔt(tn)=P−1∑p=1PδzpΔt(tn). Put δ0=W1(ν0h,μ0),CRK={C4(eL∗T−1)/L∗,L∗>0,C4T,L∗=0, 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 νP,hΔt(tn) and regularized characteristic solution με(tn) satisfy W1 ⁣(νP,hΔt(tn),με(tn))≤CRKPΔt4+e2LεT(δ0+Tδε,h),tn≤T. The terms are time error, prescribed initial empirical error, and fixed-ε mesh-force error. No universal rate for δ0 and no ε→0 singular Vlasov–Poisson limit is asserted.

Facts & Assumptions

Given: The fixed-ε 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.

[F1]

Fixed-regularization periodic PIC force consistency on a smooth density: the gathered grid field error is bounded by Ld/2h2−d/2(γCsrc+C3)+Cinth2 with all constants explicit in the source/field derivatives.

[F2]

Periodic PIC particle and force errors under a prescribed initial coupling: its proof transports every prescribed initial coupling of cost D0 to an exact-grid/continuum coupling of cost at most e2Lεt(D0+tδε,h).

[F3]

Fourth-order RK4 trajectory error for the fixed-grid periodic PIC ODE: with 0<Δt≤h0, exact initialization gives stacked state error at most CRKΔt4 at every retained uniform time tn=nΔt≤T, even when the grid does not end at T.

[F4]

The coupling definition of the 1-Wasserstein distance: W1 is the infimum of coupling costs for probability measures with finite first moment.

Proof

1.1F1givenalgebra

Apply [F1] to each unit source μ=δy. The explicit constants in [F1] depend on the source through ∥μ∥TV and suprema of derivatives of its continuum potential and field. Here ∥δy∥TV=1, and those continuum functions for δy are translates of the functions for δ0; their derivative suprema are therefore independent of y. For the corrected shifted-product quadrature constant, translating the unit-source field by y 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 Csrc(1),C3(1),Cint(1) gives the stated uniform phase-kernel defect bound, without asserting translation invariance of the finite grid kernel.

1.2F2F3givenalgebra

Work at a retained time t=tn=nΔt≤T on the stated grid, whose step obeys 0<Δt≤h0. Let A be the finite support of ν0h and Ia={p:zph(0)=a}, ma=∣Ia∣ for a∈A. For any prescribed coupling π0 of ν0h and μ0, define a measure on the second coordinate for each label p∈Ia by λp(B)=π0({a}×B)/ma. Since ν0h({a})=ma/P, each λp has mass 1/P, and for each a the sum over p∈Ia is π0({a}×⋅). By the duplicate-path argument in Periodic PIC particle and force errors under a prescribed initial coupling, all labels in Ia share the same exact path Xt(a). Thus summing these label measures gives exactly the pushforward Πt=(Xt,Yt)#π0, the Dobrushin-transported coupling, where Yt is the continuum characteristic flow. In particular, Πt has the exact grid and continuum marginals. Its cost is at most e2LεT(D0+Tδε,h) by [F2]. Replace zph(t) in each summand by the RK4 state zpΔt(t). The resulting measure is a coupling of νP,hΔt(t) and με(t), and pointwise triangle inequality increases its cost by at most P−1∑p∣zpΔt−zph∣. By Cauchy–Schwarz this is at most P−1/2∥ZΔt−Zh∥2≤P−1/2CRKΔt4 using [F3]. This gives the claimed bound with D0 in place of δ0.

2.1F4step 1.2∎

The bound of step 1.2 holds for every prescribed initial coupling. Taking the infimum of D0 gives δ0 by [F4], without selecting a minimizing plan. This proves the stated staged error budget.

5 · Examples, counterexamples and false statements

None yet.

Sources