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Symplectic Verlet and analytic backward error

1 · Prerequisites

2 · Summary

This page develops exact symmetric splitting in dimensionless canonical coordinates. Drift and kick preserve the canonical form, and velocity Verlet has cubic local and quadratic finite-time trajectory error on an explicit convex tube. Additive per-step state errors have their own accumulation bound.

For real analytic splitting data with a uniformly bounded holomorphic extension, the finite logarithm supplies Hamiltonian coefficient fields on a common retained complex neighbourhood. Symmetry removes the first correction; an optimal finite truncation gives an exponential local modified-flow defect and order-two modified energy. The energy theorem telescopes that defect on exponentially long times while the numerical iterates remain in the stated compact set. It establishes conditional energy control, with no exponential-time accuracy claim for the original trajectory.

The companion works out the oscillator invariant and checks analytic pendulum domains, including the separate perturbation contribution. All content is draft and awaits independent workflow review.

3 · Logical flowchart

4 · Definitions, postulates, theorems and proofs

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Additive per-step errors in a Lipschitzian one-step scheme accumulate geometrically: η((1+Lh)n−1)/(Lh)

Statement

Let (X,d) be a metric space (Metric space: d(x,y)=0 iff x=y, symmetry, and the triangle inequality; pseudometric and ultrametric), let V:X→X map X into itself, and let L≥0 and h>0. Assume

d(V(x),V(y))≤(1+Lh) d(x,y)for all x,y∈X,

which is a Lipschitz hypothesis on V with constant 1+Lh (Lipschitz map, α-Hölder map for rational 0<α≤1, and contraction). Fix z0∈X, put zj+1:=V(zj) for j∈N, and let x0:=z0 together with points xj+1∈X satisfying

d(xj+1,V(xj))≤η(j∈N)

for a number η≥0 ("computational error per step"). Then for every n∈N:

  1. if L>0, d(xn,zn)≤η (1+Lh)n−1Lh, and if L=0, d(xn,zn)≤nη;
  2. if moreover F:X→R satisfies the Lipschitz bound ∣F(x)−F(y)∣≤Λ d(x,y) for all x,y∈X and some 0≤Λ<∞, then ∣F(xn)−F(zn)∣≤Λη (1+Lh)n−1Lh(L>0),∣F(xn)−F(zn)∣≤Λnη(L=0);
  3. if nh≤T for some T>0 and L>0, then (1+Lh)n≤eLT and therefore d(xn,zn)≤η eLT−1Lh≤η eLTTh.

Facts & Assumptions

Given: The metric space (X,d), the map V, the constants L≥0, h>0, η≥0, the exact iterates zj=Vj(z0) and the computed points xj with d(xj+1,V(xj))≤η.

[F1]

Metric axioms and the triangle inequality in the forms d(a,c)≤d(a,b)+d(b,c) (Metric space: d(x,y)=0 iff x=y, symmetry, and the triangle inequality; pseudometric and ultrametric).

[F2]

The Lipschitz hypothesis on V, and the Lipschitz bound on F in clause 2 (Lipschitz map, α-Hölder map for rational 0<α≤1, and contraction).

Proof

technique · direct induction on $n$ with a finite geometric sum
1.1givenF1F2

One-step recursion. By [F1] and [F2], d(xj+1,zj+1)≤d(xj+1,V(xj))+d(V(xj),V(zj))≤η+(1+Lh) d(xj,zj).

2.1step 1.1algebra

Induction. We show d(xj,zj)≤η∑i=0j−1(1+Lh)i for all j. For j=0 this is d(x0,x0)=0. If it holds for j, then step 1.1 gives d(xj+1,zj+1)≤η+(1+Lh)η∑i=0j−1(1+Lh)i=η∑i=0j(1+Lh)i.

3.1step 2.1F2algebra

Geometric evaluation. For L>0 the finite geometric sum is ∑i=0n−1(1+Lh)i=(1+Lh)n−1Lh, and for L=0 it is n; this proves clause 1 in both cases. Clause 2 follows by applying the Lipschitz bound on F to the pair (xn,zn) and substituting clause 1.

4.1step 3.1F3algebra∎

Long-time form. If nh≤T then by [F3], (1+Lh)n≤eLhn≤eLT, so (1+Lh)n−1≤eLT−1 and d(xn,zn)≤η(eLT−1)/(Lh). Finally (eLT−1)/(Lh)=Th⋅eLT−1LT≤TheLT because eLT−1≤LT eLT for LT≥0; this proves clause 3.

Remarks

  • The lemma is a general accumulation statement about a one-step scheme with an external per-step perturbation; it does not model any concrete floating-point arithmetic, and η is a hypothesis on the computed points, not a derived roundoff bound. For velocity Verlet, its application requires a metric state set (X,d) on which all stages are defined, Vh:X→X, computed points remaining in X, and a positive step h>0. Establish separately a numerical-map bound d(Vh(x),Vh(y))≤(1+Lmaph)d(x,y) for every x,y∈X. Then, for nh≤T and Lmap>0, this lemma contributes η(eLmapT−1)/(Lmaph) to the finite-time error comparison, or nη when Lmap=0. The exact-field derivative constant in Finite-time global error of the velocity-Verlet method: ∥zn−Φnh(z0)∥≤C(eLT−1)h2/L bounds the exact flow and does not establish this map bound or invariance of X. Combining the estimates requires their hypotheses on a common admissible set; exact-arithmetic symplecticity in The drift, kick and velocity-Verlet maps are canonical: (DC)TJ DC=J and C∗ω=ω does not itself provide these error hypotheses.
  • No choice principle is used; the induction is finite and the geometric sums are finite sums.
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Complex phase domains, holomorphic maps on Cm, and the complexified canonical form and bracket

Definition

Holomorphic maps. Let m,p≥1 and let D⊆Cm be open. Write each coordinate zk=xk+iyk and identify D with the corresponding open subset of R2m by (z1,…,zm)↦(x1,y1,…,xm,ym). A map F:D→Cp is complex differentiable at a∈D when there is a map L:Cm→Cp that is C-linear — L(u+v)=L(u)+L(v) and L(λu)=λL(u) for λ∈C (Linear map between vector spaces over the same field, A linear map L:Rm→Rn in Euclidean coordinates, C=R[x]/(x2+1) is a field, every element is uniquely a+bi, and every nonzero element has inverse (a−bi)/(a2+b2)) — with

F(a+v)=F(a)+L(v)+r(v),∥r(v)∥∥v∥⟶0  (v→0),

the norm being the Euclidean norm of R2m and R2p (The total (Fréchet) derivative Df(a) as the linear first-order approximation with o(∥h∥2) remainder). Such an L is unique by the argument of Complex differentiability at a point, the complex derivative, holomorphic functions, and entire functions, applied componentwise; it is denoted DF(a). The map F is holomorphic on D when it is complex differentiable at every point of D; for m=p=1 this is the notion of Complex differentiability at a point, the complex derivative, holomorphic functions, and entire functions. For holomorphic F and k≤m put ∂zkF(a):=DF(a)(ek), the k-th coordinate derivative; for p=1 this is the partial derivative of Directional derivatives and partial derivatives of a map U⊆Rm→Rn in the complex coordinate direction.

Real analytic functions. Let N≥1 and let V⊆RN be open. A function φ:V→R is real analytic at x∈V when there are an open set W⊆CN with x∈W and a holomorphic F:W→C with F(ξ)=φ(ξ) for every ξ∈W∩V; φ is real analytic on V when it is real analytic at every point of V. Thus real analyticity is defined here exactly as admitting a local holomorphic extension.

Polydiscs. For a∈Cm and a polyradius ρ=(ρ1,…,ρm) with 0<ρk≤∞ put

Δρ(a):={ z∈Cm: ∣zk−ak∣<ρk for all k },

the open polydisc, which is open and convex (Open ball, closed ball and sphere in a metric space, The metric topology: a set is open when every one of its points has a ball around it inside the set; closed means open complement). If every ρk is finite, its distinguished boundary is

Γρ(a):={ z∈Cm: ∣zk−ak∣=ρk for all k }.

When any radius is infinite, no distinguished boundary is defined.

Complex phase domains. Let d≥1. A complex phase domain is a nonempty open D⊆C2d whose points are written Z=(z,w) with z=(z1,…,zd), w=(w1,…,wd)∈Cd. In these coordinates, ∂zi and ∂wi denote the coordinate derivatives defined above for the corresponding entries of Z. On D define the complexified canonical two-form and the complexified Poisson bracket of holomorphic functions f,g:D→C by

ωC:=∑i=1ddzi∧dwi,{f,g}:=∑i=1d(∂zif ∂wig−∂wif ∂zig),

and for a holomorphic f:D→C its complex Hamiltonian field Xf:=J∇f, where the same entries of J=(0dId−Id0d) from A phase domain, its canonical one-form and its standard symplectic two-form are regarded as a matrix in M2d(C), and ∇f=(∂z1f,…,∂zdf,∂w1f,…,∂wdf) is the gradient column of coordinate derivatives. If DR:=D∩R2d is nonempty, it is open in R2d, and the restrictions of ωC and J to DR are exactly the standard two-form and matrix of A phase domain, its canonical one-form and its standard symplectic two-form.

Distance domains. For a nonempty U⊆R2d and r>0 put

D(r):={ ζ∈C2d: dist⁡(ζ,U‾)<r },dist⁡(ζ,U‾):=inf⁡{∥ζ−x∥:x∈U‾},

where U‾ is the closure of U in R2d and the norm is the Euclidean norm of C2d≅R4d. Each D(r) is open, contains U, and D(r)⊆D(r′) for r≤r′; if U is star-shaped with respect to 0 (Star-shaped open subsets of Euclidean space), then every D(r) is star-shaped with respect to 0 as well.

Remarks

  • The definition of holomorphy used here is the C-linear total-derivative definition, matching the one-variable published definition. The equivalence with power-series representability and with continuity plus separate holomorphy is not assumed: it is proved in Iterated Cauchy formula, power-series expansion and Cauchy estimates for functions continuous and separately holomorphic on a polydisc and Calculus of holomorphic maps: chain rule, Wirtinger derivatives, coefficient extraction in one variable, and locally uniform limits on this page, together with the differentiability of the coordinate derivatives.

  • No choice principle is used. All objects are the standard complexifications of the real canonical objects; no physical interpretation is attached to z,w or to ωC in this definition.

  • To verify the distance-domain claim, first note that U‾ is star-shaped about 0: if xj∈U converges to x∈U‾, then txj∈U and txj→tx, so tx∈U‾ for every 0≤t≤1. If ζ∈D(r), the inequality dist⁡(ζ,U‾)<r supplies x∈U‾ with ∥ζ−x∥<r. Thus tx∈U‾ and dist⁡(tζ,U‾)≤∥tζ−tx∥=t∥ζ−x∥<r for 0≤t≤1. Hence tζ∈D(r), proving that D(r) is star-shaped with respect to 0.

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The splitting Hamiltonian H=A+B, the drift and kick maps, and the velocity-Verlet map

Definition

Let d≥1 and let U⊆R2d be a nonempty open phase domain with coordinates z=(q,p), q=(q1,…,qd) and p=(p1,…,pd), standard two-form ωU=∑idqi∧dpi and standard symplectic matrix J (A phase domain, its canonical one-form and its standard symplectic two-form).

Fix M∈Md(R) and M−1∈Md(R) with MM−1=M−1M=Id. Assume M is symmetric and positive definite, meaning MT=M (The transpose AT of a matrix) and vTMv>0 for every nonzero v∈Rd; here vTMv is the matrix product of Rectangular matrix multiplication and the identity matrix In, including zero-sized shapes. Transposing the two inverse identities and using uniqueness of a two-sided inverse gives (M−1)T=(MT)−1=M−1. Fix an open Π⊆Rd with U⊆Π×Rd and a function Upot:Π→R of class C3 (Ck Euclidean maps and diffeomorphisms), whose gradient ∇Upot and Hessian matrix HUpot are those of The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case and The Hessian matrix and critical points of a scalar field; write ∇Upot(q) as a column vector and abbreviate Upot(q) by V(q) on U.

For any C1 scalar function G:U→R, use the coordinate convention XG:=J∇G=(∂piG,−∂qiG)i=1d for its Hamiltonian field. With ωU=∑idqi∧dpi, contraction is ιXGωU:=∑i((XG)qi dpi−(XG)pi dqi)=∑i(∂piG dpi+∂qiG dqi)=dG.

On U define the kinetic part and potential part

A(q,p):=12 pTM−1p,B(q,p):=V(q),H:=A+B,

and the ambient-valued drift and kick formulas

D^h(q,p):=(q+h M−1p,  p),K^h(q,p):=(q,  p−h ∇V(q))((q,p)∈U).

Use these as partial self-maps of U by setting Dh:={(q,p)∈U:D^h(q,p)∈U},Dh:=D^h∣Dh:Dh→U, Kh:={(q,p)∈U:K^h(q,p)∈U},Kh:=K^h∣Kh:Kh→U. The velocity-Verlet map of the splitting H=A+B at step h∈R is the partial composite

Vh:=Kh/2∘Dh∘Kh/2:Vh→U, where Vh:={z∈Kh/2:Kh/2(z)∈Dh and Dh(Kh/2(z))∈Kh/2}. Thus every intermediate input and the final output belongs to U.

Remarks

  • The definition is purely mathematical and choice-free; the names drift, kick and velocity-Verlet are conventional, and no physical units are assigned. The coordinate Hamiltonian fields of A and B are XA(q,p)=(M−1p,0) and XB(q,p)=(0,−∇V(q)) by the convention above. The proposition The drift, kick and velocity-Verlet maps are canonical: (DC)TJ DC=J and C∗ω=ω identifies Dt and Kt with the respective time-t local flow values whenever their whole intermediate straight drift or kick segment stays in U. Endpoint containment alone, used by the algebraic definitions above, does not imply this on an arbitrary open U. When each of the three flow segments is admissible, Vh is the symmetric Strang-type splitting of those local flows; its algebraic canonical-form preservation identity holds on the full declared composition domain. The exact flow of H is denoted Φt in the items of this page.
  • For H(q,p)=12pTM−1p+V(q) and the second-order differential equation Mq¨=−∇V(q), the map Vh is the classical velocity-Verlet (leapfrog) update in one-step form: half a kick, a full drift, half a kick. For d=1, M=(1) and V(q)=q2/2, these formulas reduce to the explicit two-by-two map of Oscillator Verlet: a preserved quadratic form and bounded original-energy oscillation ↗ on the companion page.
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Iterated Cauchy formula, power-series expansion and Cauchy estimates for functions continuous and separately holomorphic on a polydisc

Statement

Let m≥1, let a∈Cm, let ρ be a polyradius with 0<ρk<∞, and let f:Δρ(a)→C be continuous and holomorphic in each variable separately, that is, for every k and every choice of the other coordinates the slice ζ↦f(…,ζ,… ) is holomorphic on its open disc (Complex phase domains, holomorphic maps on Cm, and the complexified canonical form and bracket, Complex differentiability at a point, the complex derivative, holomorphic functions, and entire functions). For a polyradius r with rk<ρk put M(r):=sup⁡Γr(a)∣f∣, a finite number.

Then:

  1. Iterated Cauchy formula. For every z∈Δr(a), f(z)=1(2πi)m∮∣ζ1−a1∣=r1⋯∮∣ζm−am∣=rmf(ζ)∏k(ζk−zk) dζ1⋯dζm, and the iterated integrals in any order of the variables agree.
  2. Power-series expansion. For every polyradius r′ with rk<rk′<ρk, and every z∈Δr(a), f(z)=∑α∈Nmcα (z−a)α,cα=1(2πi)m∮Γr′(a)f(ζ) dζ(ζ−a)α+1, where the coefficients cα do not depend on r′, the series converges absolutely and uniformly on every compact subset of Δρ(a), and ∣cα∣≤M(r′)∏k(rk′)−αk.
  3. Holomorphy, derivatives and estimates. The function f is holomorphic on Δρ(a) in the sense of Complex phase domains, holomorphic maps on Cm, and the complexified canonical form and bracket. Its coordinate derivatives ∂zkf exist everywhere on Δρ(a), are continuous and holomorphic in each variable separately there, and satisfy for every polyradius s=(s1,…,sm) with 0<sℓ<ρℓ for all ℓ, ∣∂zkf(a)∣≤M(s)sk.

Facts & Assumptions

Given: The polydisc Δρ(a) with 0<ρk<∞; a continuous f holomorphic in each variable separately; polyradii r,r′ with rk<rk′<ρk; the numbers M(r),M(r′).

[F1]

One-variable Cauchy formula: if g is holomorphic on D(a,R) and 0<r<R, then g(z)=12πi∫∣ζ−a∣=rg(ζ)ζ−zdζ for ∣z−a∣<r, the contour integral agreeing with the parametrized Riemann integral t↦a+reit over [0,2π] (Cauchy's integral formula on a circle compactly contained in a disc of holomorphy, For piecewise-C1 contours the Riemann–Stieltjes integral agrees with the parametric complex integral and the published real line integrals, Rectifiable complex contours, reversal, concatenation, closedness, and orientation).

[F2]

One-variable Taylor estimates: for g holomorphic on D(a′,R) with ∣g∣≤M on ∣ζ−a′∣=s, the n-th Taylor coefficient obeys ∣cn∣≤Ms−n (Cauchy's inequalities bound the Taylor coefficients by the circle supremum); and ∣g(n)(z)∣≤n!sM/(s−t)n+1 for ∣z−a′∣≤t<s (Cauchy estimates on a smaller concentric disc).

[F3]

Parameter integrals: if φ:[0,2π]×Ω→C is jointly continuous and φ(t,⋅) is holomorphic on the open Ω⊆C for every t, then z↦∫02πφ(t,z) dt is holomorphic on Ω and the derivative integral formula holds under joint continuity of the derivative (A jointly continuous finite-interval parameter integral of holomorphic functions is holomorphic).

[F4]

Write each continuous complex integrand in real and imaginary components using the coordinate identification of Complex phase domains, holomorphic maps on Cm, and the complexified canonical form and bracket; its Riemann integral is componentwise (The derivative and the Riemann integral of a vector-valued function: an intrinsic derivative and a componentwise integral). Each continuous real component on a closed nondegenerate rectangle is Riemann integrable (Every continuous function on a closed nondegenerate rectangle in Rm is Riemann integrable); Riemann integrals over product rectangles may then be interchanged (Riemann--Fubini on product rectangles, with lower and upper section integrals and content-zero exceptional sections). Uniform limits of continuous integrands pass under each fixed complex line integral; for a finite product of fixed circles, apply this successively, with uniformity preserved by the fixed contour-length bounds. Vector-valued estimates are componentwise (A uniformly convergent sequence of continuous integrands on a fixed contour permits passage of the limit through the complex line integral, For a≤b and f:[a,b]→Rm integrable when a<b, ∥∫abf∥2≤∫ab∥f∥2; for a<b, ∥f∥2 is integrable, ML estimate: a contour integral is bounded by a supremum bound times path length).

[F5]

The modulus estimate: ∣∫γh dz∣≤sup⁡γ∗∣h∣⋅L(γ) on a rectifiable contour, the circle ∣ζ−a∣=s having length 2πs under the parametrization (ML estimate: a contour integral is bounded by a supremum bound times path length, For piecewise-C1 contours the Riemann–Stieltjes integral agrees with the parametric complex integral and the published real line integrals).

[F6]

Multi-index notation: α∈Nm, ∣α∣=∑kαk, α!=∏kαk!, wα=∏kwkαk, and the geometric series over Nm satisfies ∑α∏kθkαk=∏k(1−θk)−1 for 0≤θk<1 (Ck maps and multi-index derivative notation in Euclidean space, Cauchy's inequalities bound the Taylor coefficients by the circle supremum).

Proof

technique · direct, with an internal finite induction on the number of variables for the iterated formula, then expansion of the geometric kernel and identification of the coefficients; differentiability follows from the expansion
1.1givenF1F4

Iterated Cauchy formula. We prove clause 1 by induction on m. For m=1 it is exactly [F1]. Assume it holds for m−1≥1 and let f be as in the statement. Fix z∈Δr(a) and write z=(z1,z′), a=(a1,a′). For z′ fixed, the slice ζ1↦f(ζ1,z′) is holomorphic on the disc ∣z1−a1∣<ρ1 and continuous on its closure as the restriction of a continuous map, so [F1] gives f(z1,z′)=12πi∮∣ζ1−a1∣=r1f(ζ1,z′)ζ1−z1dζ1. For each ζ1 on the circle, the function z′↦f(ζ1,z′) is continuous and separately holomorphic on Δρ′(a′), ρ′=(ρ2,…,ρm), so the induction hypothesis gives f(ζ1,z′) as an (m−1)-fold iterated integral over ∣ζk−ak∣=rk, k≥2, for z′∈Δr′(a′). Substituting and interchanging the iterated integrals is legitimate by [F4], since after parametrizing each circle by [0,2π] the integrand is continuous on the compact product and the denominators never vanish (∣zk−ak∣<rk). This yields the displayed formula with the outer variable ζ1; the argument applies to every order of the variables, either directly or by [F4].

1.2givenF6algebra

Expansion of the kernel. Fix z∈Δr(a) and r′ with rk<rk′<ρk, and consider on the distinguished boundary Γr′(a) the product of the geometric series ∏k=1m1ζk−zk=∏k=1m∑n≥0(zk−ak)n(ζk−ak)n+1=∑α∈Nm(z−a)α(ζ−a)α+1, valid because ∣zk−ak∣<rk′=∣ζk−ak∣; its partial sums SN(ζ):=∑∣α∣∞≤N(ζ−a)−α−1(z−a)α converge uniformly on the compact parameter rectangle to the full product, by [F6] and the Weierstrass test with majorant ∑α∏k(rk/rk′)αk=∏k(1−rk/rk′)−1<∞.

2.1givenstep 1.2F4F5F6

Power-series expansion at a fixed contour radius. Fix any polyradius s with 0<sk<ρk and any z∈Δs(a). Choose an inner polyradius s^ with ∣zk−ak∣<s^k<sk for all k; the kernel expansion of step 1.2 applies with s^ as the inner radius and s as the contour radius. Applying clause 1 with contour radius s and substituting that expansion, the integral of fSN converges to that of f∏k(ζk−zk)−1 by [F4]; by linearity the integral of fSN is the finite sum ∑∣α∣∞≤Ncα(s)(z−a)α, where cα(s) is the displayed iterated contour integral with radii s. Hence these partial sums converge to f(z). The coefficient estimate ∣cα(s)∣≤M(s)∏ksk−αk follows from [F5], each factor contributing (2πsk)/(2π). By [F6], the resulting product of geometric series proves absolute convergence on Δs(a) and uniform convergence on every compact subset of Δs(a), since the coordinate ratios have suprema strictly below 1 there.

3.1givenF1F3F4constructstep 2.1

Independence of the contour radii. Fix a multi-index α and two polyradii s,s~ with all components strictly between 0 and the corresponding ρk. Connect them by changing one radius at a time. For a fixed coordinate k, hold the other contour radii fixed and integrate first in those other variables, defining g(ζk):=1(2πi)m−1∮Γs≠k(a≠k)f(ζ)∏ℓ≠k(ζℓ−aℓ)αℓ+1∏ℓ≠kdζℓ. For m=1 this means g=f. The parameter-integral theorem [F3], applied to the scalar integrands of these iterated contour integrals, shows that g is holomorphic on ∣ζk−ak∣<ρk. Differentiating its one-variable Cauchy formula [F1] αk times at ak under the contour integral, justified by [F3] because the differentiated kernels are jointly continuous on the contour, gives 12πi∮∣ζk−ak∣=skg(ζk)(ζk−ak)αk+1 dζk=g(αk)(ak)αk!. The right side is independent of sk. By [F4] the contour order can be chosen so this is the k-th integral in cα(s); therefore changing only sk leaves that coefficient unchanged. Repeating for each coordinate proves cα(s)=cα(s~). In particular the coefficients do not depend on the admissible r′. For any compact subset of Δρ(a), choose a contour polyradius s strictly larger in each coordinate than the maximum coordinate distance of that compact set from a; step 2.1 and the established independence give uniform absolute convergence there.

3.2givenstep 2.1F6F7algebra

Complex differentiability at the centre. Write the expansion of step 2.1 at the point a as f(a+v)=c0+L(v)+q(v) with L(v):=∑kcekvk (a C-linear map) and q(v):=∑∣α∣≥2cαvα. Fix a polyradius r′ with 0<rk′<ρk and take ∣vk∣≤rk′/2; put θk:=∣vk∣/rk′≤1/2. The coefficient bounds give ∣q(v)∣≤M(r′)∑∣α∣≥2∏kθkαk≤M(r′)Cmmax⁡kθk2≤M(r′)Cm(min⁡krk′)2 ∥v∥2, where Cm:=∑n≥2(n+m−1m−1)2−(n−2)<∞. Thus q(v)=o(∥v∥) as v→0. Hence f is complex differentiable at a with Df(a)=L. Applying the same argument at an arbitrary centre ζ∈Δρ(a) — the hypotheses hold on any polydisc centred at ζ contained in Δρ(a) — gives complex differentiability everywhere on Δρ(a), so f is holomorphic there, with ∂zkf(a)=cek.

3.3givenstep 2.1F2F4F5algebra

Derivative formula and estimates at the centre. Differentiating under the iterated integral of clause 1, the difference quotient of the kernel identity 1ζk−zk−h−1ζk−zk=h(ζk−zk)2+h2(ζk−zk)2(ζk−zk−h) and [F4] give, for every k, ∂zkf(a)=1(2πi)m∮Γr(a)f(ζ)∏l≠k(ζl−al)⋅dζ(ζk−ak)2. By [F5] the modulus is at most M(r)∏lrl(rl)−1⋅rk−1⋅…=M(r)/rk (each unmodified factor contributes rl/rl=1, the squared factor contributes rk/rk2), which is the estimate of clause 3 with s=r.

4.1givenstep 2.1step 3.3F3F4

Continuity and separate holomorphy of the derivatives. Fix a polydisc Δs(b) with Δ‾s(b)⊆Δρ(a). Compactness of Δ‾s(b) inside the open polydisc lets us choose a polyradius s′ with sk<sk′ for every k and Δ‾s′(b)⊆Δρ(a). Differentiating the iterated Cauchy formula on Δs′(b), for z∈Δs(b), ∂zkf(z)=1(2πi)m∮Γs′(b)f(ζ)(ζk−zk)2∏ℓ≠k(ζℓ−zℓ) dζ1⋯dζm. The integrand is jointly continuous in z and the contour parameters on the compact product, so the integral is continuous in z; fixing all but one coordinate of z, the integrand is holomorphic in that coordinate and [F3] makes the integral holomorphic in it. Such polydiscs cover Δρ(a), proving the regularity assertion. The Cauchy bound of clause 3 applies at any centre with any polyradius strictly inside its domain.

5.1step 1.1step 2.1step 3.1step 3.2step 3.3step 4.1∎

Conclusion. Clause 1 is step 1.1; clause 2 combines steps 2.1 and 3.1; clause 3 combines steps 3.2, 3.3 and 4.1. No choice principle was used: the induction is over the finite range 1,…,m, the geometric series are evaluated by [F6], and the limit is a uniformly convergent sequence of finite partial sums.

Remarks

LemmaStatement: AI-adaptedProof: AI-adaptedprecheck passOpen item page →

The velocity-Verlet step matches the exact flow through order two: local truncation error O(h3) on a convex tube

Statement

Let d≥1 and let U, M, V, A, B, H=A+B, Dh, Kh and Vh be as in The splitting Hamiltonian H=A+B, the drift and kick maps, and the velocity-Verlet map. Let W⊆U be open, bounded and convex, let K⊆W be nonempty compact, and let r>0 satisfy K+B‾r(0)⊆W (Open ball, closed ball and sphere in a metric space). Put

XH(q,p):=(M−1p, −∇V(q)),M0:=sup⁡W∥XH∥,L1:=sup⁡W∥DXH∥,L2:=sup⁡W∥D2XH∥,

the derivatives being the total derivatives with operator norms (The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case, Ck Euclidean maps and diffeomorphisms, The total (Fréchet) derivative Df(a) as the linear first-order approximation with o(∥h∥2) remainder); assume all three numbers are finite (for example, this holds when W‾⊆U). Let Φt be the local flow of XH (The local flow of an autonomous first-order system).

Then there exist h0>0 and C<∞, depending only on d, r, ∥M−1∥, sup⁡K∥p∥, M0, L1 and L2, such that for every (q,p)∈K and every 0<∣h∣≤h0:

  1. Φh(q,p) is defined and lies in W, and ∥Φh(q,p)−(q,p)−hXH(q,p)−h22DXH(q,p)XH(q,p)∥≤C∣h∣3.
  2. Vh(q,p) is defined and lies in W, and its two block components satisfy Vh(q,p)=(q+hM−1p−h22M−1∇V(q)+ρ1,    p−h∇V(q)−h22HV(q)M−1p+ρ2) with ∥ρ1∥,∥ρ2∥≤C∣h∣3; equivalently Vh and Φh have the same expansion through order two, XH(q,p)=(M−1p, −∇V(q)),DXH(q,p)XH(q,p)=(−M−1∇V(q), −HV(q)M−1p).
  3. Consequently ∥Vh(q,p)−Φh(q,p)∥≤C∣h∣3 for every (q,p)∈K and 0<∣h∣≤h0.

Facts & Assumptions

Given: The data of The splitting Hamiltonian H=A+B, the drift and kick maps, and the velocity-Verlet map; an open bounded convex W⊆U, a nonempty compact K⊆W and r>0 with K+B‾r(0)⊆W; the finite constants M0,L1,L2 of the Statement; the local flow Φt of XH; the abbreviations z=(q,p).

[F1]

Field and derivatives. The coordinate Hamiltonian-field convention XG=J∇G of The splitting Hamiltonian H=A+B, the drift and kick maps, and the velocity-Verlet map gives XH(q,p)=J∇H(q,p)=(M−1p,−∇V(q)); here (M−1)T=M−1 by that definition. Its total derivative is the block matrix DXH(q,p)=(0M−1−HV(q)0) with HV the Hessian of V (The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case, The Hessian matrix and critical points of a scalar field). Since V∈C3, XH is C2, and the finiteness of M0,L1,L2 is an explicit hypothesis, satisfied in particular when W‾⊆U by continuity and the extreme value theorem (Ck Euclidean maps and diffeomorphisms, A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value, Heine-Borel in Rn: with the Euclidean metric a subset of Rn is compact if and only if it is closed and bounded, and the proof by bisection uses no choice principle; the same holds on the real line).

[F2]

Quantitative local existence and uniqueness. If F is continuous and locally Lipschitz on the open D⊆R×Rn, (t0,x0)∈D, and h,r>0 satisfy [t0−h,t0+h]×B‾(x0,r)⊆D, ∥F∥≤M and Lip⁡-constant L on that cylinder with hM≤r and Lh<1, then there is exactly one solution through (t0,x0) on [t0−h,t0+h] with graph in the cylinder; any two solutions through the same data agree on every common interval containing t0 (Picard-Lindelöf local existence and uniqueness for first-order systems, The local flow of an autonomous first-order system). A C1 field on W has Lipschitz constant L1 on W: for x,y∈W the segment lies in W by convexity, and the mean value estimate ∥F(x)−F(y)∥≤L1∥x−y∥ follows by integrating the derivative along the segment.

[F5]

Hessian symmetry and the integral form of the mean value estimate. HV(q)T=HV(q), and for C1 HV and points q,q′∈Q:=pr⁡q(W)⊆Π, where pr⁡q(q,p)=q and Q is open and convex, one has ∇V(q′)−∇V(q)=∫01HV(q+t(q′−q))(q′−q) dt by [F3] applied to t↦∇V(q+t(q′−q)) and [F4] (The Hessian of a C2 scalar field is symmetric, The Hessian matrix and critical points of a scalar field).

Proof

technique · direct; bound the second derivative of the exact-flow deviation by the fundamental theorem of calculus, and expand the three Verlet factors exactly, bounding the potential-gradient remainder by the Lipschitz constant of the Hessian
1.1givenF1F2F3algebra

Uniform short existence. Put P=sup⁡K∥p∥ and M1=∥M−1∥. Choose 0<h0≤1 so that h0M0≤r/8, h0L1≤1/2, and h0M1(P+M0)≤r/8, ignoring a restriction whose left side is identically zero. Then [F2] on the ball B‾(z,r/2)⊆W supplies the flow from each z∈K for ∣t∣≤h0. Its displacement is at most M0∣t∣ by the integral equation and [F3].

2.1givenstep 1.1F2F3F4algebra

Deviation of the exact flow. Define g(t):=Φt(z)−z−tXH(z)−t22DXH(z)XH(z) for ∣t∣≤h0. By [F4] and the flow equation ∂tΦt=XH(Φt) (The local flow of an autonomous first-order system) the curve g′ has derivative g′′(t)=DXH(Φt(z))XH(Φt(z))−DXH(z)XH(z); writing Δt:=Φt(z)−z and using the mean value estimate for XH on the convex W (so that ∥XH(Φt)−XH(z)∥≤L1∥Δt∥, [F2]), ∥g′′(t)∥≤∥DXH(Φt)−DXH(z)∥∥XH(Φt)∥+∥DXH(z)∥∥XH(Φt)−XH(z)∥≤(L2M0+L12)∥Δt∥≤(L2M0+L12)M0∣t∣. Since g(0)=g′(0)=0, two applications of [F3] give ∥g′∥≤12(L2M0+L12)M0t2 and ∥g(h)∥≤16(L2M0+L12)M0∣h∣3. This proves clause 1 with C1:=16(L2M0+L12)M0+1.

2.2givenstep 1.1F1algebra

Intermediate points. Put p1=p−h∇V(q)/2, q2=q+hM−1p1, and p2=p1−h∇V(q2)/2. The first kick displacement is at most r/16, and the drift displacement is at most r/8, so (q2,p1)∈B(z,r/2)⊆W. The final kick also has displacement at most r/16 since the field is bounded there. Thus every intermediate point and the endpoint lie in W, legitimating all three evaluations. The block formula for DXHXH follows from [F1].

3.1givenstep 2.2F1F2F3F5algebra

Expansion of the potential gradient. With w:=q2−q, [F5] gives ∇V(q2)=∇V(q)+∫01HV(q+tw)w dt=∇V(q)+HV(q)w+R with ∥R∥≤12LV∥w∥2, where LV:=sup⁡q∈Q∥DHV(q)∥≤L2 is a Lipschitz constant of HV on the convex position set Q=pr⁡q(W). Indeed, each q∈Q has a lift (q,p)∈W, and DHV(q) is the momentum-output, position-input block of D2XH(q,p), giving its operator-norm bound by L2. Integrating this derivative along segments in Q gives ∥HV(q+tw)−HV(q)∥≤tL2∥w∥, and then [F3] gives the stated remainder. Both endpoints q,q2 lie in Q by step 2.2, and ∥w∥≤r/8.

4.1givenstep 2.2step 3.1F1algebra

Exact algebra and remainders. The position identity is exact: q2=q+hM−1p−h2M−1∇V(q)/2, so ρ1=0. In the momentum identity use step 3.1 with w=hM−1p−h2M−1∇V(q)/2. This gives p2=p−h∇V(q)−h2HV(q)M−1p/2+ρ2, where ρ2=h3HV(q)M−1∇V(q)/4−hR/2. Its norm is at most ∣h∣3(L1M1M0+L2M12(P+M0)2)/4, since ∥HV(q)∥≤L1 and ∥DHV(q)∥≤L2 on Q are block restrictions of DXH,D2XH at any lift (q,p)∈W.

5.1step 2.1step 4.1algebra∎

Conclusion. Step 2.1 bounds the exact-flow remainder and step 4.1 bounds the Verlet remainder. Their terms through degree two agree, so the triangle inequality gives the cubic local defect after enlarging C to bound both expansions and their difference. All constants use only the stated finite bounds and tube data.

Remarks

LemmaStatement: AI-adaptedProof: AI-adaptedprecheck passOpen item page →

Calculus of holomorphic maps: chain rule, Wirtinger derivatives, coefficient extraction in one variable, and locally uniform limits

Statement

Let m,l,p≥1 and let D⊆Cm, D′⊆Cl be open, with holomorphy in the sense of Complex phase domains, holomorphic maps on Cm, and the complexified canonical form and bracket.

  1. Chain rule. If g:D′→D and F:D→Cp are holomorphic, then F∘g:D′→Cp is holomorphic and D(F∘g)(z)=DF(g(z))∘Dg(z)(z∈D′).
  2. Wirtinger derivatives and the bracket matrix. If f:D→C is holomorphic, then f is totally differentiable as a map of R2m and, writing xk,yk for the real and imaginary parts of zk, ∂zˉkf:=12(∂xkf+i ∂ykf)=0,∂zkf:=12(∂xkf−i ∂ykf)=Df(ek). Consequently, for holomorphic f,g on a complex phase domain D⊆C2d, with ∇f=(∂z1f,…,∂wdf) and J the standard matrix, {f,g}=(∇f)TJ ∇g.
  3. Coefficient extraction in a complex step variable. Let 0<σ≤∞ and let D⊆Cm be open, and let F:{∣h∣<σ}×D→Cp be holomorphic. Then for every j∈N the coefficient map cj(z):=∂hjF(0,z)/j! is holomorphic on D, and for every 0<s<σ, cj(z)=12πi∮∣h∣=sF(h,z)hj+1 dh.
  4. Locally uniform limits. For maps Fn,F:D→Cp, define locally uniform convergence here to mean that for every nonempty compact C⊆D and every ε>0 there is n0 such that sup⁡z∈C∥Fn(z)−F(z)∥<ε for all n≥n0, with the Euclidean norm on Cp. This is equivalent to uniform convergence of each of the finitely many scalar components on every such C, since ∣vi∣≤∥v∥≤pmax⁡i∣vi∣. On one-variable scalar slices it agrees with Locally uniform convergence on an open subset of the complex plane is compact convergence and Uniform convergence and the uniformly Cauchy condition for complex-valued functions, with the componentwise dictionary. If all Fn are holomorphic and converge in this sense to F, then F is holomorphic on D.

Facts & Assumptions

[L2]

The chain rule for total derivatives: D(G∘H)(x)=DG(H(x))∘DH(x); and the partial derivatives in the coordinate directions are the entries of the total derivative (The chain rule for total derivatives: D(g∘f)(a)=Dg(f(a))∘Df(a), The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case, Ck Euclidean maps and diffeomorphisms).

[L3]

Cauchy formula in one variable and Taylor coefficients: for holomorphic G on D(h0,s) and 0<s′<s, ∂jG(h0)/j!=12πi∮∣h−h0∣=s′G(h)(h−h0)−j−1dh (Iterated Cauchy formula, power-series expansion and Cauchy estimates for functions continuous and separately holomorphic on a polydisc, clause 2, with m=1; Cauchy's inequalities bound the Taylor coefficients by the circle supremum).

[L4]

Parameter integrals: a jointly continuous φ:[0,2π]×Ω→C with h-slice holomorphic in the parameter z∈Ω has holomorphic parameter integral (A jointly continuous finite-interval parameter integral of holomorphic functions is holomorphic); and a locally uniform limit of holomorphic one-variable functions is holomorphic (Locally uniform limits of holomorphic functions are holomorphic and their derivatives converge locally uniformly).

[L5]

Continuity: uniform limits of continuous complex-valued maps are continuous (A uniform limit of continuous complex-valued functions is continuous); a holomorphic function of several variables is continuous, because differentiability at every point implies continuity (Complex phase domains, holomorphic maps on Cm, and the complexified canonical form and bracket).

[L6]

The matrix identity: for ∇f,∇g as in clause 2, (∇f)TJ∇g=∑i(∂zif ∂wig−∂wif ∂zig), by block multiplication (Rectangular matrix multiplication and the identity matrix In, including zero-sized shapes, The transpose AT of a matrix).

Proof

technique · direct; compose derivatives, decompose the complex derivative into real partials, and use one-variable Cauchy theory slice by slice
1.1givenL1L2

Clause 1. A holomorphic map is totally differentiable as a real map with DRF=DF by [L1], so [L2] applies to F∘g: it is totally differentiable with derivative DF(g(z))∘Dg(z), a composite of C-linear maps, hence C-linear by [L1]. Since z was arbitrary, F∘g is holomorphic with the displayed derivative.

1.2givenL1L2L6

Clause 2. Let f be holomorphic and fix k. The partial derivatives ∂xkf,∂ykf exist and are the images under Df of the real basis vectors exk,eyk by [L2]; because Df is C-linear, Df(eyk)=Df(i exk)=i Df(exk), that is, ∂ykf=i ∂xkf. Hence ∂zˉkf=12(∂xkf+i i ∂xkf)=0 and ∂zkf=12(∂xkf−i i ∂xkf)=∂xkf=Df(ek). The matrix identity of clause 2 is then exactly [L6].

1.3givenL3L4L5

Clause 3, holomorphy of cj. For fixed z∈D the map h↦F(h,z) is holomorphic on {∣h∣<σ} (composition of the holomorphic F with the holomorphic slice injection, clause 1), so cj(z) is well defined and equals the contour integral of [L3]. To see that z↦cj(z) is holomorphic, fix one coordinate zk and hold the others; the integrand φ(h,zk):=F(h,z)h−j−1 is, on the compact circle {∣h∣=s} times a small disc in zk, jointly continuous because F is continuous by [L5], and holomorphic in zk for each h because the slice z↦F(h,z) is holomorphic (clause 1). By [L4] applied to the parametrized integral, cj is holomorphic in zk on that disc; hence each scalar component of cj is separately holomorphic, and it is continuous as an integral of a jointly continuous family on a compact contour. By Iterated Cauchy formula, power-series expansion and Cauchy estimates for functions continuous and separately holomorphic on a polydisc applied componentwise to cj on a polydisc around any point, cj is holomorphic on D: assemble the finitely many complex-linear component derivatives, whose remainder norm is at most p times the largest scalar remainder.

2.1givenstep 1.3L4L5

Clause 4. Around any a∈D choose a closed polydisc contained in D. It is compact, so convergence is uniform there in the Euclidean target norm. Continuity of F at a follows from ∥F(z)−F(a)∥≤∥F(z)−Fn(z)∥+∥Fn(z)−Fn(a)∥+∥Fn(a)−F(a)∥, first choosing n to make both uniform errors less than ε/3, then choosing z close enough to a for the middle term. Apply the remaining argument to each scalar component: fixing all coordinates but one, the slice Fn(…,⋅,… ) is a locally uniform limit of holomorphic one-variable functions, hence holomorphic by [L4]; thus each scalar component is continuous and separately holomorphic on D, and Iterated Cauchy formula, power-series expansion and Cauchy estimates for functions continuous and separately holomorphic on a polydisc makes it holomorphic. Assemble their derivatives as in step 1.3 to obtain a complex-linear derivative of F, with vector remainder o(∥v∥).

3.1step 1.1step 1.2step 1.3step 2.1∎

Conclusion. Clause 1 is step 1.1, clause 2 is step 1.2, clause 3 is step 1.3 and clause 4 is step 2.1.

Remarks

PropositionStatement: AI-adaptedProof: AI-adaptedprecheck passOpen item page →

The drift, kick and velocity-Verlet maps are canonical: (DC)TJ DC=J and C∗ω=ω

Statement

Let d≥1, let U, M, V, A, B, H=A+B, Dh, Kh and Vh be as in The splitting Hamiltonian H=A+B, the drift and kick maps, and the velocity-Verlet map, with ωU the standard two-form and J=(0dId−Id0d) the standard symplectic matrix (A phase domain, its canonical one-form and its standard symplectic two-form). Then, on the sets where the maps are defined:

  1. Dh is C∞ with constant derivative DDh(q,p)=(IdhM−10dId), and, when the whole segment (q+tM−1p,p) for t between 0 and h lies in U, Dh(q,p) is the time-h value of the local flow (The local flow of an autonomous first-order system) of the Hamiltonian field XA(q,p)=(M−1p,0) of the kinetic part; moreover DDh(q,p)TJ DDh(q,p)=J.
  2. Kh is C2 with derivative DKh(q,p)=(Id0d−h HV(q)Id), where HV is the Hessian matrix of V, and, when the whole segment (q,p−t∇V(q)) for t between 0 and h lies in U, Kh(q,p) is the time-h value of the local flow of the Hamiltonian field XB(q,p)=(0,−∇V(q)) of the potential part; moreover DKh(q,p)TJ DKh(q,p)=J.
  3. The admissible composition domain of Vh is open, Vh is C2 there, and its derivative satisfies DVh(q,p)TJ DVh(q,p)=J, so that Vh∗ωU=ωU: the velocity-Verlet map preserves the standard two-form and, when its admissible composition domain is nonempty, is a local C2 canonical transformation in the finite-regularity sense of Finite-regularity differential forms, Hamiltonian fields and canonical maps in phase charts. This matrix/form conclusion holds on the full algebraic composition domain; the separate flow interpretations in clauses 1-2 require the stated intermediate-segment containment.

Facts & Assumptions

Given: The data of The splitting Hamiltonian H=A+B, the drift and kick maps, and the velocity-Verlet map: the phase domain U, the symmetric positive definite M with its specified two-sided inverse, the C3 potential V, and the maps Dh,Kh,Vh. Transposing the inverse identities and using MT=M gives (M−1)T=M−1.

[F2]

Symmetry of the blocks: (M−1)T=M−1 as recalled in the data, and HV(q)T=HV(q) for the C2 scalar field V (The Hessian of a C2 scalar field is symmetric, The Hessian matrix and critical points of a scalar field).

[F3]

The matrix test: for C1 maps between phase domains with the same J, preservation of the standard two-form, C∗ω=ω, is equivalent to DCTJ DC=J (A C1 map between phase domains preserves the standard two-form iff DCTJ DC=J, and a canonical diffeomorphism carries XH∘C to XH, A phase domain, its canonical one-form and its standard symplectic two-form).

[F4]

Local flows: for a locally Lipschitz field F, the time-t map of its local flow is characterised among solutions by Φ0=id and ∂tΦt=F∘Φt, with uniqueness of solutions through a given initial point (The local flow of an autonomous first-order system, Picard-Lindelöf local existence and uniqueness for first-order systems).

Proof

technique · direct; compute the two block derivatives, verify the two matrix identities by block multiplication, and compose
1.1givenF1F4algebra

Clause 1, derivative and flow. The map Dh(q,p)=(q+hM−1p,p) is affine, hence C∞, with constant Jacobian (IdhM−10dId) read off from the partial derivatives by [F1]. The curve t↦(q+tM−1p,p) has derivative (M−1p,0)=XA at its own value, and at t=0 it equals (q,p); if its full segment between 0 and h stays in U, uniqueness in [F4] identifies its endpoint with the time-h local flow value of XA. Writing C:=DDh(q,p), block multiplication using [F1] and the fact that the blocks Id, hM−1 commute with each other gives CTJC=(Id0hM−1Id)(0Id−Id−hM−1)=(0Id−Id0)=J, the middle factor being J C.

1.2givenF1F2F4algebra

Clause 2, derivative and flow. The first block row of DKh is (Id,0d) because Kh leaves q unchanged; the second block row is (−hHV(q),Id) because p−h∇V(q) has q-gradient −hHV(q) and p-gradient Id by [F1]; V∈C3 makes ∇V of class C2 (and the Hessian entries C1), so the displayed formula for Kh is C2. The curve t↦(q,p−t∇V(q)) has derivative (0,−∇V(q))=XB at its own value and equals (q,p) at t=0, so, when its full segment up to h stays in U, [F4] identifies its endpoint with the time-h local flow value of XB. With C:=DKh(q,p) and S:=HV(q), block multiplication using ST=S from [F2] gives CTJC=(Id−hS0Id)(−hSId−Id0)=(−hS+hSId−Id0)=J, the middle factor being J C.

2.1givenstep 1.1step 1.2F1algebra

Clause 3, composition. Since V is C3, its gradient is C2, so each kick is C2 and the drift is smooth. The admissible composition domain is an intersection of finitely many preimages of the open set U under these continuous maps, hence open; their composition Vh=Kh/2∘Dh∘Kh/2 is C2 on it. At each point there, the chain rule of [F1] gives DVh=C1C2C3 with C1=DKh/2 evaluated at Dh(Kh/2(q,p)), C2=DDh evaluated at Kh/2(q,p), and C3=DKh/2 evaluated at (q,p). Each factor satisfies CiTJCi=J by steps 1.1-1.2, so DVhTJ DVh=C3T(C2T(C1TJC1)C2)C3=C3T(C2TJC2)C3=C3TJC3=J.

3.1step 2.1F3∎

Clause 3, form preservation. If the composition domain is empty, the pointwise matrix and form assertions are vacuous. Otherwise it is a phase domain, and the identity of step 2.1 is exactly the matrix condition of [F3] for the C2 map Vh, so Vh∗ωU=ωU on its admissible open domain. The explicit inverse factors are D−h and K−h; reversing the palindrome gives V−h as the inverse on the image wherever the compositions exist. Restriction to these open domains makes Vh a C2 diffeomorphism onto its open image, with C2 inverse V−h, preserving the form. Thus it is a local C2 canonical transformation in Finite-regularity differential forms, Hamiltonian fields and canonical maps in phase charts, without assuming a smooth potential.

Remarks

  • The three factors in step 2.1 satisfy the matrix identity at every point of their domains, so no connectedness or constancy argument is needed. The verification is exact algebra: the proposition asserts exact symplecticity of Vh in exact arithmetic only, and says nothing about floating-point or rounded arithmetic.
  • The identities also show directly that det⁡DVh=±1 where defined; neither determinant sign nor phase-volume preservation is used on this page.
DefinitionDefinition: AI-adaptedProof: Not applicableprecheck passOpen item page →

Analytic splitting data with uniform holomorphic neighbourhood, and the exact symmetric splitting map Ψh

Definition

Let d≥1. Analytic splitting data consists of the following objects.

  1. A nonempty open bounded set U⊆R2d, star-shaped with respect to 0 (Star-shaped open subsets of Euclidean space), together with a number ρ>0 and the uniform holomorphic neighbourhood Uρ:=D(ρ)={ζ∈C2d:dist⁡(ζ,U‾)<ρ} of Complex phase domains, holomorphic maps on Cm, and the complexified canonical form and bracket.
  2. Functions A,B:U→R (written additively as the splitting H:=A+B) that are real analytic on U and admit holomorphic extensions A~,B~:Uρ→C with A~∣U=A and B~∣U=B, where holomorphy is the C-linear total-derivative notion of Complex phase domains, holomorphic maps on Cm, and the complexified canonical form and bracket. Set H~:=A~+B~ on Uρ; then H~∣U=H.
  3. A constant M≥1 with ∥XA~∥≤M and ∥XB~∥≤M pointwise on Uρ, where XF=J∇F is the complex Hamiltonian field of a holomorphic F and the norm is the Euclidean norm of C2d≅R4d (Complex phase domains, holomorphic maps on Cm, and the complexified canonical form and bracket, A phase domain, its canonical one-form and its standard symplectic two-form).
  4. A nonempty compact K⊆U; then δ:=dist⁡(K,R2d∖U)>0 because K is compact, R2d∖U is closed and nonempty, and the two sets are disjoint (Heine-Borel in Rn: with the Euclidean metric a subset of Rn is compact if and only if it is closed and bounded, and the proof by bisection uses no choice principle; the same holds on the real line, The metric topology: a set is open when every one of its points has a ball around it inside the set; closed means open complement, A compact set and a disjoint closed set have a positive norm-distance gap).

For F∈{A~,B~} and Z∈Uρ, the complex-flow lemma The flow of a bounded holomorphic field on a polydisc: existence in complex time, displacement bound, holomorphy, and the composition law ↗ supplies an open time neighborhood ΩF,Z⊆C of 0 and a uniquely determined holomorphic solution YF,Z:ΩF,Z→Uρ with YF,Z(0)=Z and YF,Z′(τ)=XF(YF,Z(τ)). Write φFt(Z):=YF,Z(t) when t∈ΩF,Z. Any use of a continuation to a larger connected time domain specifies a single-valued solution branch there; the compositions below are defined only where their three local maps or specified continuations can be composed.

The exact splitting map at step h∈C is the partial map from Uρ to Uρ given by

Ψh:=φA~h/2∘φB~h∘φA~h/2,

defined wherever the composition exists; for m∈N its m-th iterate is Ψhm:=Ψh∘⋯∘Ψh (m factors, Ψh0=id).

Remarks

  • Only A~ and B~ enter Ψh; the real functions A,B serve to state the hypotheses and conclusions on U. On real points of U, the restrictions A~∣U=A and B~∣U=B make their coordinate fields real. Whenever the full real-time flow segments stay in U, uniqueness identifies the complex local flows on those data with the corresponding real local flows.
  • In the mechanical case of The splitting Hamiltonian H=A+B, the drift and kick maps, and the velocity-Verlet map (A~=12pTM−1p, B~=V(q)), the two flows φA~t and φB~t, restricted to real points and real times whose entire affine drift or kick segment remains in U, are exactly the drift Dt and the kick Kt by The drift, kick and velocity-Verlet maps are canonical: (DC)TJ DC=J and C∗ω=ω; hence Ψh=Dh/2∘Kh∘Dh/2 whenever all three full internal segments remain in U. Interchanging the analytic labels A~,B~ gives Ψh=Vh=Kh/2∘Dh∘Kh/2. For each order the segment condition applies to every factor at its own initial state; endpoint inclusion alone does not ensure it on arbitrary U. In Analytic Verlet retains order-two energy accuracy on exponential times a smaller uniform step bound obtained from K and its margin δ supplies this condition.
  • The bound ∥XF∥≤M on the complex neighbourhood Uρ, not merely on U, is an essential hypothesis: it is what makes the analytic continuation and the Cauchy estimates on complex domains available. The number ρ and the margin δ are fixed data; no smallness is required of ρ.
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Finite-time global error of the velocity-Verlet method: ∥zn−Φnh(z0)∥≤C(eLT−1)h2/L

Statement

Use the data, finite field and derivative bounds, and constants h1,C1 of The velocity-Verlet step matches the exact flow through order two: local truncation error O(h3) on a convex tube on an open bounded convex tube W, with compact K1 and positive tube margin. Let T>0, 0<∣h∣≤h1, and n∈N satisfy n∣h∣≤T. Suppose zj=Vhj(z0) and yj=Φjh(z0) both lie in K1 for 0≤j≤n. With L=L1=sup⁡W∥DXH∥, the following holds:

∥zn−yn∥≤C1h2eLT−1L(L>0),∥zn−yn∥≤C1Th2(L=0).

The constants are independent of n,h,T, with the displayed data fixed.

Facts & Assumptions

Given: The stated data, including finite bounds on the convex tube and retention of both sequences in K1.

[F1]

The velocity-Verlet step matches the exact flow through order two: local truncation error O(h3) on a convex tube supplies existence of the short exact trajectories from each point of K1 in W, and ∥Vh(z)−Φh(z)∥≤C1∣h∣3.

[F2]

On the convex W, the derivative bound and the chain rule give ∥XH(x)−XH(y)∥≤L∥x−y∥; the exact flow obeys its integral equation (The local flow of an autonomous first-order system, The second fundamental theorem: if G is differentiable on [a,b] with G′=f and f is integrable, then ∫abf=G(b)−G(a)).

[F4]

The field XH=(M−1p,−∇V(q)) is C1 on its phase domain and hence locally Lipschitz. Clause 2 of The local flow is a partial one-parameter group: identity, composition and inverse-time laws applies to its unique maximal autonomous solutions: if Φs(z) and Φh(Φs(z)) are defined, then Φs+h(z)=Φh(Φs(z)), for signed real times as well.

Proof

1.1givenF1F2F3algebra

Exact-flow stability. Write a=∣h∣. For short trajectories starting at x,y∈K1, their distance u(t), with time oriented by the sign of h, satisfies u(t)≤u(0)+L∫0tu(s)ds on 0≤t≤a by [F2]. If v(t)=u(0)+L∫0tu(s)ds, then v′≤Lv; differentiation of e−Ltv(t) proves v(t)≤eLtu(0). Thus ∥Φh(x)−Φh(y)∥≤eLa∥x−y∥.

2.1givenF1F4step 1.1algebra

Recurrence. Set ej=∥zj−yj∥. For j<n, the datum yj=Φjh(z0) lies in K1, so [F1] supplies Φh(yj); [F4] with s=jh gives Φh(yj)=Φ(j+1)h(z0)=yj+1. Thus by [F1], ej+1≤∥Vh(zj)−Φh(zj)∥+∥Φh(zj)−Φh(yj)∥≤C1a3+eLaej. Since e0=0, induction gives en≤C1a3∑k=0n−1eLak.

3.1step 2.1F3algebra∎

Evaluation. For L>0 the sum is (eLna−1)/(eLa−1), and eLa−1≥La, obtained by integrating LeLt≥L on [0,a]. Hence en≤C1a2(eLT−1)/L. For L=0 the sum equals n and na≤T gives en≤C1Ta2.

Remarks

This is a conditional finite-time trajectory estimate. Retention in the compact tube is assumed. The analytic energy theorem does not give exponential-time accuracy of the original trajectory. Negative steps obey the same bound with elapsed time n∣h∣.

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The flow of a bounded holomorphic field on a polydisc: existence in complex time, displacement bound, holomorphy, and the composition law

Statement

In this item, a complex-time solution on an open set Ω⊆C is a holomorphic map Y:Ω→D satisfying Y′(τ)=F(Y(τ)). For a closed time disc, a solution means the restriction of such a map that is continuous on the closed disc.

Let n≥1, let D⊆Cn be open, let F:D→Cn be holomorphic in the sense of Complex phase domains, holomorphic maps on Cm, and the complexified canonical form and bracket with ∥F∥≤M everywhere on D for some M>0, let Z0∈D and let s>0 satisfy Δs(Z0)⊆D (Complex phase domains, holomorphic maps on Cm, and the complexified canonical form and bracket). Put

t0:=s8nM,Dt0:={t∈C: ∣t∣≤t0}.

Then there is a map Φ:Dt0×B(Z0,s/4)→D that is the restriction of a jointly holomorphic map on {∣t∣<3t0/2}×B(Z0,s/4), such that:

  1. Solution. For every Z∈B(Z0,s/4), t↦Φ(t,Z) solves Y′=F(Y) with Y(0)=Z for ∣t∣<3t0/2. It is the unique holomorphic solution on ∣t∣<t0 among solutions with values in B(Z,s/2). On Dt0 it satisfies ∥Φ(t,Z)−Z∥≤M∣t∣≤s/(8n).
  2. Holomorphy. Φ is holomorphic on the open set {∣t∣<t0}×B(Z0,s/4) in the sense of Complex phase domains, holomorphic maps on Cm, and the complexified canonical form and bracket, and Φ(0,Z)=Z.
  3. Composition and inverse. Repeating the construction with each initial point as a center gives a family of compatible local maps; in this clause Φ(t,Z) denotes the map in the chart centered at Z. If the two sides are defined by branches on the same connected open continuation of a solution, then Φ(s2,Φ(s1,Z))=Φ(s1+s2,Z). In particular, along the reverse continuation of the same local solution, Φ(−s1,Φ(s1,Z))=Z whenever both sides are defined.

Facts & Assumptions

Given: The open D⊆Cn, the holomorphic F with ∥F∥≤M on D, the point Z0, the radius s with Δs(Z0)⊆D, and t0=s/(8nM).

[L1]

Scalar Cauchy estimates on polydiscs (Iterated Cauchy formula, power-series expansion and Cauchy estimates for functions continuous and separately holomorphic on a polydisc): if a scalar holomorphic g is bounded by A on the distinguished boundary of a polydisc of radius r about W, then ∣∂zkg(W)∣≤A/r. Applying this to each component Fi gives ∣∂zkFi(W)∣≤4M/s whenever Δs/4(W)⊆D. Thus the Euclidean norm of the k-th column of DF(W) is at most 4nM/s. For v∈Cn, ∥DF(W)v∥≤(4nM/s)∑k∣vk∣≤(4nM/s)∥v∥, using (∑k∣vk∣)2≤n∑k∣vk∣2. This supplies the claimed vector-valued Lipschitz constant without applying a scalar estimate directly to a vector-valued map.

[L2]

Calculus of holomorphic maps (Calculus of holomorphic maps: chain rule, Wirtinger derivatives, coefficient extraction in one variable, and locally uniform limits): compositions of holomorphic maps are holomorphic with the chain rule; a locally uniform limit of holomorphic maps is holomorphic.

[L3]

Parameter integrals (A jointly continuous finite-interval parameter integral of holomorphic functions is holomorphic): a jointly continuous scalar φ:[0,1]×Ω→C whose slices are holomorphic in the complex parameter has a holomorphic integral, with differentiation under the integral when the parameter derivative is jointly continuous. For a Cn-valued integrand, apply this scalar result to each of its n components; the resulting integral is holomorphic componentwise.

[L4]

Completeness and componentwise uniform limits. A uniformly Cauchy sequence of maps into Cn≅R2n has a pointwise limit: at each argument its 2n real coordinates are Cauchy and converge by The reals are complete, and assembling these limits gives a vector limit. A uniform tail bound in Euclidean norm passes to that limit by continuity of the norm, so convergence is uniform. Each component of a uniform limit of continuous Cn-valued maps is continuous by A uniform limit of continuous complex-valued functions is continuous; finitely many continuous components give a continuous vector map, since ∥v∥≤nmax⁡i∣vi∣. Likewise a locally uniform limit of holomorphic scalar functions is holomorphic by Locally uniform limits of holomorphic functions are holomorphic and their derivatives converge locally uniformly. For a finite vector of componentwise holomorphic functions, collect their scalar derivatives into one complex-linear map; the Euclidean norm of the vector of finitely many o(∥v∥) remainders is again o(∥v∥), so the vector map is holomorphic in the total-derivative sense.

[L5]

Integrals of continuous Cn-valued functions satisfy ∥∫01φ dσ∥≤∫01∥φ∥ dσ; the complex segment integral ∫0tψ(τ)dτ=t∫01ψ(σt) dσ is thereby controlled (For a≤b and f:[a,b]→Rm integrable when a<b, ∥∫abf∥2≤∫ab∥f∥2; for a<b, ∥f∥2 is integrable, The derivative and the Riemann integral of a vector-valued function: an intrinsic derivative and a componentwise integral).

[L7]

The vector-valued fundamental theorem of calculus gives ∫01u′(σ) dσ=u(1)−u(0) for a differentiable u:[0,1]→R2n with integrable derivative; its bounded-derivative clause says that if u is continuous and ∥u′(σ)∥≤A on (0,1), then ∥u(1)−u(0)∥≤A (If f:[a,b]→Rm is differentiable with integrable f′ then ∫abf′=f(b)−f(a); and a bounded derivative makes f Lipschitz, both clauses).

Proof

technique · constructive; Picard iteration with the contraction estimate on the polydisc $\Delta_{s/2}(Z_0)$, uniform Cauchy convergence, and slice-wise holomorphy of the limit
1.1givenL1L2L6L7

Lipschitz estimate. For every W with ∥W−Z0∥≤3s/4, the polydisc Δs/4(W) is contained in Δs(Z0)⊆D: each coordinate satisfies ∣ζk−Z0k∣≤∣Wk−Z0k∣+∣ζk−Wk∣<3s/4+s/4=s. By [L1], the operator norm of DF(W) is at most Λ=4nM/s. For W,W′∈B(Z0,3s/4) the segment u(t)=F(W′+t(W−W′)), 0≤t≤1, stays in the convex ball by [L6]; by the chain rule in [L2], its derivative is DF(W′+t(W−W′))(W−W′) and has norm at most Λ∥W−W′∥. Applying [L7] to this real-parameter curve gives ∥F(W)−F(W′)∥≤Λ∥W−W′∥. Since t0=s/(8nM), Λ=1/(2t0).

2.1givenstep 1.1L4L5L6algebra

The Picard map [construct]. Fix Z∈B(Z0,s/4) and let XZ be the set of continuous γ:Dt0→Cn with γ(0)=Z and ∥γ(t)−Z∥≤s/2 for all t∈Dt0, equipped with the supremum distance. Define Tγ by (Tγ)(t):=Z+t∫01F(γ(σt)) dσ. For γ∈XZ, the integrand is continuous; since ∥Z−Z0∥<s/4 and ∥γ(σt)−Z∥≤s/2, its values satisfy ∥γ(σt)−Z0∥<3s/4 and lie in D. Therefore ∥(Tγ)(t)−Z∥≤∣t∣M≤t0M=s/(8n)≤s/2: T maps XZ to itself. Moreover, by step 1.1 and [L5], for γ1,γ2∈XZ, ∥(Tγ1)(t)−(Tγ2)(t)∥≤∣t∣∫01Λ∥γ1(σt)−γ2(σt)∥ dσ≤t0Λ∥γ1−γ2∥∞=12∥γ1−γ2∥∞. The same construction on Dt∗ with t∗:=3t0/2 also works: t∗Λ=3/4<1 and t∗M=3s/(16n)<s/2, so the iterates have summable successive differences bounded by a geometric sequence with ratio 3/4 and remain in XZ. The coordinatewise completeness argument of [L4] gives their limit. Repeating steps 3.1--5.1 with this radius yields a solution holomorphic on ∣t∣<t∗, so the solution on Dt0 extends through its boundary.

3.1givenstep 2.1L1L2L3L4

Iterates. For each initial value Z, put γ0(t,Z):=Z and γm+1(⋅,Z):=T(γm(⋅,Z)); all γm(⋅,Z) lie in XZ by step 2.1, and ∥γm+1(⋅,Z)−γm(⋅,Z)∥∞≤2−m∥γ1(⋅,Z)−γ0(⋅,Z)∥∞≤2−mt0M. Joint continuity in (t,Z) follows by induction: γ0(t,Z)=Z is continuous, and if γm is jointly continuous then (σ,t,Z)↦F(γm(σt,Z)) is continuous; on each compact parameter neighborhood its σ-integral is continuous by uniform continuity. Each γm is also holomorphic on Dt0 in the variable t: γ0 is constant; if γm is holomorphic then t↦γm(σt) and its composition with F are holomorphic for each σ by [L2]. The parameter integral in the definition of T is holomorphic componentwise by [L3], so every component of Tγm is holomorphic in t; the finite-dimensional assembly described in [L4] makes the vector map holomorphic. For fixed t, the same induction shows that each component of γm(t,⋅) is holomorphic in each coordinate of Z: apply [L3] separately to each output component and each input coordinate. Thus the iterates are continuous and separately holomorphic in the variables needed below.

4.1givenstep 3.1L1L2L4

Uniform convergence. By step 3.1, (γm) is uniformly Cauchy on Dt0×B(Z0,s/4): ∥γm′−γm∥∞≤2−m+1t0M for m′≥m. By the coordinatewise completeness argument in [L4], it converges uniformly to a map Φ; the componentwise continuity argument in [L4] makes Φ continuous. It satisfies ∥Φ(t,Z)−Z∥≤s/2, indeed ≤M∣t∣≤s/(8n), and Φ(0,Z)=Z. For fixed Z, each component of t↦Φ(t,Z) is a locally uniform limit of holomorphic functions, so it is holomorphic by [L4]; the same applies to each output component with t fixed and one complex coordinate of Z varying. At any point of the open product choose a polydisc contained in it. Each scalar component is continuous and separately holomorphic there, so Iterated Cauchy formula, power-series expansion and Cauchy estimates for functions continuous and separately holomorphic on a polydisc makes that component holomorphic in the total-derivative sense; the finite-dimensional assembly in [L4] then makes Φ a holomorphic Cn-valued map.

5.1givenstep 4.1L2L3L5L7

Fixed point and differential equation. T is Lipschitz with constant 1/2 on XZ by step 2.1, so TΦ=lim⁡mTγm=lim⁡mγm+1=Φ uniformly. Put G(t):=F(Φ(t,Z)), which is holomorphic with continuous derivative on ∣t∣<t0 by step 4.1 and [L2]. The fixed-point identity is Φ(t,Z)=Z+t∫01G(σt) dσ. By the derivative formula in [L3], applied componentwise, ddtΦ(t,Z)=∫01G(σt) dσ+t∫01σG′(σt) dσ=∫01ddσ(σG(σt)) dσ=G(t)=F(Φ(t,Z)), where the penultimate equality is [L7] applied to the R2n-valued curve σ↦σG(σt). The fixed-point identity also gives Φ(0,Z)=Z and, by [L5], ∥Φ(t,Z)−Z∥≤M∣t∣≤s/(8n). This proves clause 1 except uniqueness, and clause 2.

6.1givenstep 2.1step 5.1L6discharge-construct∎

Uniqueness and composition. Two solutions in the prescribed curve ball obey the contraction inequality of step 2.1 and coincide. More generally, two local solutions through any point agree on a sufficiently small time disc by that same argument centred at the point; the set of times of agreement is both relatively open and closed in a connected common continuation, hence they agree there. For fixed s1, the curves t↦Φ(s1+t,Z) and t↦Φ(t,Φ(s1,Z)) have the same initial value and derivative F wherever both are defined. Local uniqueness, followed by this continuation argument, proves the qualified composition rule and, with t=−s1, the inverse rule. This proves all three clauses.

Remarks

  • The lemma is local by design: the time radius t0=s/(8nM) shrinks with the size of the field and with the complex margin, and the initial-data ball is B(Z0,s/4). Applying it at each point gives compatible local solution maps. Continued branches are used on specified connected time domains; the local construction does not select a single-valued global maximal flow.
  • Clause 1's uniqueness is asserted among solutions with values in the ball B(Z,s/2), which is what the contraction proof gives; no global uniqueness of complex-time solutions outside that ball is claimed.
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Hamiltonian flows and the exact splitting map preserve the complexified canonical form and the Poisson bracket

Statement

Let d≥1 and let (U,Uρ,A~,B~,M,K,δ,Ψh) be analytic splitting data as in Analytic splitting data with uniform holomorphic neighbourhood, and the exact symmetric splitting map Ψh, with J the standard matrix and ωC, { ⋅ , ⋅ } the complexified form and bracket of Complex phase domains, holomorphic maps on Cm, and the complexified canonical form and bracket. Let F∈{A~,B~} and let φFt be the flow of XF as in The flow of a bounded holomorphic field on a polydisc: existence in complex time, displacement bound, holomorphy, and the composition law, on the domain where it is defined.

  1. For every (t,Z) in the flow domain, φFt is holomorphic near Z, its derivative is invertible, and DφFt(Z)TJ DφFt(Z)=J.
  2. For every h and every point Z where Ψh is defined and holomorphic, DΨh(Z) is invertible and DΨh(Z)TJ DΨh(Z)=J.
  3. For all holomorphic f,g on an open set containing Ψh(Z), {f∘Ψh,  g∘Ψh}(Z)={f,g}(Ψh(Z)).

Facts & Assumptions

Given: The analytic splitting data of Analytic splitting data with uniform holomorphic neighbourhood, and the exact symmetric splitting map Ψh; a field F∈{A~,B~} with ∥XF∥≤M on Uρ; the flow φFt of XF; the exact splitting map Ψh=φA~h/2∘φB~h∘φA~h/2.

[L2]

The variational equation. Since t↦φFt(Z) solves ∂tφ=XF(φ) and both sides are C1 in (t,Z) by [L1], Clairaut's theorem permits exchanging the mixed partials, and the chain rule gives ∂t(DφFt(Z))=DXF(φFt(Z))∘DφFt(Z) (Clairaut--Schwarz theorem for continuous second partial derivatives, The chain rule for total derivatives: D(g∘f)(a)=Dg(f(a))∘Df(a), The total (Fréchet) derivative Df(a) as the linear first-order approximation with o(∥h∥2) remainder, Directional derivatives and partial derivatives of a map U⊆Rm→Rn).

[L3]

For holomorphic H:D→C, its gradient column ∇H has total derivative D(∇H)(Z)=Hess⁡H(Z)=(∂zk∂zlH(Z))k,l, a complex-symmetric matrix, and DXH=JHess⁡H because XH=J∇H (Calculus of holomorphic maps: chain rule, Wirtinger derivatives, coefficient extraction in one variable, and locally uniform limits clause 2, Clairaut--Schwarz theorem for continuous second partial derivatives, Complex phase domains, holomorphic maps on Cm, and the complexified canonical form and bracket).

[L4]

Matrix algebra: JT=−J, J2=−I2d, hence JTJ=I2d; for invertible A, the identity ATJA=J is equivalent to AJAT=J; and products of matrices satisfying the identity satisfy it again (Rectangular matrix multiplication and the identity matrix In, including zero-sized shapes, The transpose AT of a matrix, Invertible matrices and the general linear group GL⁡n(F)).

[L5]

Bracket matrix identity: for holomorphic f,g, {f,g}=(∇f)TJ∇g (Calculus of holomorphic maps: chain rule, Wirtinger derivatives, coefficient extraction in one variable, and locally uniform limits clause 2).

Proof

technique · direct; differentiate the matrix identity along the flow with the variational equation, then compose and rewrite the bracket
1.1givenL1L2L3L4algebra

The derivative of the matrix identity along the flow. Fix (Z,t) in the flow domain and put A(τ):=DφFτ(Z). By [L2], A′(τ)=DXF(φFτ(Z))A(τ), and by [L3], DXF=JHess⁡F with Hess⁡F symmetric. Then ddτ(A(τ)TJA(τ))=AT[(JHess⁡F)TJ+J(JHess⁡F)]A=AT[Hess⁡FTJTJ+J2Hess⁡F]A=0, using JTJ=I, J2=−I and Hess⁡FT=Hess⁡F ([L4]). Since the expression is continuous in τ and has zero derivative on the connected flow interval, it equals its value at τ=0, namely ITJI=J. Thus DφFt(Z)TJDφFt(Z)=J.

2.1givenstep 1.1L4

Invertibility. Along the reverse continuation of the same solution branch, clause 3 of The flow of a bounded holomorphic field on a polydisc: existence in complex time, displacement bound, holomorphy, and the composition law supplies the local inverse φF−t near φFt(Z). The chain rule gives DφF−t(φFt(Z))∘DφFt(Z)=I: the derivative is invertible with inverse DφF−t(φFt(Z)), and the identity of step 1.1 transfers to AJAT=J by [L4].

3.1givenstep 1.1step 2.1L4algebra

Composition. The chain rule gives DΨh(Z)=A1A2A3 with A1=DφA~h/2 at φB~h(φA~h/2(Z)), A2=DφB~h at φA~h/2(Z) and A3=DφA~h/2 at Z. Each Ai satisfies AiTJAi=J by step 1.1 and is invertible by step 2.1; hence DΨh(Z)TJDΨh(Z)=A3T(A2T(A1TJA1)A2)A3=J by [L4], and DΨh(Z) is invertible as a product of invertible matrices.

4.1givenstep 3.1L4L5algebra

Bracket identity. Let f,g be holomorphic near Ψh(Z). By the chain rule, ∇(f∘Ψh)(Z)=DΨh(Z)T∇f(Ψh(Z)), and likewise for g; hence by [L5] {f∘Ψh,g∘Ψh}(Z)=∇f(Ψh(Z))T(DΨh(Z) J DΨh(Z)T)∇g(Ψh(Z)). By step 3.1 and the equivalence of [L4] (applicable because DΨh(Z) is invertible), DΨh J DΨhT=J, so the last display equals ∇f(Ψh(Z))TJ∇g(Ψh(Z))={f,g}(Ψh(Z)) by [L5] again.

5.1step 1.1step 3.1step 4.1∎

Conclusion. Step 1.1 gives clause 1 for the two fields, step 3.1 gives clause 2, and step 4.1 gives clause 3.

Remarks

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The difference operator Δh=Ψh∗−id loses a controlled domain margin and is bounded by CdM∣h∣/b

Statement

Let d≥1 and let (U,Uρ,A~,B~,M,K,δ,Ψh) be analytic splitting data as in Analytic splitting data with uniform holomorphic neighbourhood, and the exact symmetric splitting map Ψh, with complexified form and bracket as in Complex phase domains, holomorphic maps on Cm, and the complexified canonical form and bracket. For r>0 put D(r):={ζ∈C2d:dist⁡(ζ,U‾)<r}.

There is a constant C0=C0(d)≥1 such that for every integer N≥2, with

b:=ρ8N,rN:=ρC0MN,q:=CdM∣h∣b,

the following holds for every complex h with 0<∣h∣≤rN. Write Dk:=D(ρ/2−2bk) for 0≤k≤N; then D0=D(ρ/2), DN=D(ρ/4)⊇K, and DN⊆Dk⊆D0 for k≤N. Define the difference operator

Δhf:=f∘Ψh−f

for functions f holomorphic on Dk−1, where the composition is read on Dk. Then:

  1. Domain control. For every k=1,…,N the map Ψh is holomorphic on Dk, maps Dk into Dk−1, and satisfies ∥Ψh(Z)−Z∥≤2M∣h∣≤b for all Z∈Dk.
  2. Single-step bound. If f is holomorphic on Dk−1 with ∣f∣≤F there, then Δhf is holomorphic on Dk and ∣Δhf(Z)∣≤CdM∣h∣b F(Z∈Dk), with Cd:=4d2.
  3. Iterates. Taking C0:=max⁡{16, 128d2} one has q≤1/4 for ∣h∣≤rN, and for every f holomorphic on D0 and every 1≤k≤N, the iterate Δhkf is holomorphic on Dk and ∣Δhkf(Z)∣≤qk ∣f∣D0(Z∈Dk).

Facts & Assumptions

Given: The analytic splitting data; N≥2, b=ρ/(8N), the domains Dk; the constant Cd of clause 2 (to be produced in the proof).

[F1]

Geometric facts about the distance domains (Complex phase domains, holomorphic maps on Cm, and the complexified canonical form and bracket): dist⁡(⋅,U‾) is 1-Lipschitz, so ζ∈D(r) implies B(ζ,t)⊆D(r+t) for every t>0, and D(r)⊆D(r′) for r≤r′. Every Z∈K⊆U has dist⁡(Z,U‾)=0, so K⊆DN.

[F2]

Flow displacement: by The flow of a bounded holomorphic field on a polydisc: existence in complex time, displacement bound, holomorphy, and the composition law clause 1, each of the three flows in Ψh=φA~h/2∘φB~h∘φA~h/2 displaces its argument by at most M times the modulus of its time parameter, provided the argument lies in the appropriate polydisc of radius s with ∣t∣≤s/(8⋅2d⋅M); consequently, on the domains used below, ∥Ψh(Z)−Z∥≤(1/2+1+1/2)M∣h∣=2M∣h∣. The composition is holomorphic by Hamiltonian flows and the exact splitting map preserve the complexified canonical form and the Poisson bracket and Calculus of holomorphic maps: chain rule, Wirtinger derivatives, coefficient extraction in one variable, and locally uniform limits clause 1.

[F3]

Cauchy derivative estimates on a polydisc (Iterated Cauchy formula, power-series expansion and Cauchy estimates for functions continuous and separately holomorphic on a polydisc clause 3): if g is continuous and separately holomorphic on Δρ(a), then for 0<sk<ρk, ∣∂zkg(a)∣≤M(s)/sk with M(s):=sup⁡Γs(a)∣g∣; a function holomorphic on an open set is continuous and separately holomorphic there.

[F4]

The mean value estimate on a segment: if g is totally differentiable on the segment [Z,ξ] and ∣∂zkg∣≤A on it for every k, then ∣g(ξ)−g(Z)∣≤∑kA∣ξk−Zk∣≤2d A∥ξ−Z∥; this follows by applying the one-variable mean value estimate to the real coordinate functions along the segment (The chain rule for total derivatives: D(g∘f)(a)=Dg(f(a))∘Df(a), The total (Fréchet) derivative Df(a) as the linear first-order approximation with o(∥h∥2) remainder, Directional derivatives and partial derivatives of a map U⊆Rm→Rn).

[F5]

Holomorphy of the pullback and of differences: f∘Ψh is holomorphic on Dk by the chain rule of Calculus of holomorphic maps: chain rule, Wirtinger derivatives, coefficient extraction in one variable, and locally uniform limits clause 1, so Δhf is holomorphic there (Complex phase domains, holomorphic maps on Cm, and the complexified canonical form and bracket).

Proof

technique · direct; verify the margin bookkeeping, bound the increment by Cauchy estimates on slices of the segment, and iterate
1.1givenF1F2algebra

Margin bookkeeping. Fix N≥2, k≤N and Z∈Dk. Since C0≥128d2, ∣h∣≤rN implies both 2M∣h∣≤b and ∣h∣≤ρ/(64d2dM). Construct the three factors sequentially using polydiscs of radius s=ρ/(42d) centred at their initial points. The first centre is Z. The first flow exists by [F2] and displaces it by at most M∣h∣/2; the second centre is therefore within that distance of Z. Inductively, the second flow displaces its own initial point by at most M∣h∣, and the last by at most M∣h∣/2. Thus every intermediate centre and every point along a subflow, with its time parameter running along the segment from zero to that factor's time, lies within the accumulated bound 2M∣h∣≤b of Z. At each centre the polydisc has Euclidean radius ρ/4, so its distance to U‾ is less than ρ/2+b+ρ/4≤13ρ/16<ρ; it lies in Uρ. The flow lemma permits each subtime because s/(8⋅2dM)=ρ/(64d2dM). This induction establishes existence and the intermediate bounds without using cancellation in the final displacement. Set ξ=Ψh(Z); the triangle inequality gives ∥ξ−Z∥≤2M∣h∣≤b. By [F1], dist⁡(ξ,U‾)<ρ/2−2bk+b=ρ/2−2b(k−1)−b, so ξ∈Dk−1. The same strict bound holds along the straight segment [Z,ξ], since every such point is within b of Z. Consequently the polydisc of radius b/2d about each point of that segment, including its distinguished boundary, lies in Dk−1. Composition holomorphy follows from [F2]. This proves clause 1 with the stated constants and margins.

2.1givenstep 1.1F3F4F5algebra

Single-step bound. Let f be holomorphic on Dk−1 with ∣f∣≤F. For Z∈Dk, ξ=Ψh(Z) and ζ on the segment, [F3] applied at ζ with the polyradius (b/2d)1, whose distinguished boundary lies in Dk−1 by step 1.1, gives ∣∂zkf(ζ)∣≤2d F/b for every k. Hence by [F4], ∣f(ξ)−f(Z)∣≤2d⋅2d⋅Fb⋅∥ξ−Z∥≤2d Fb⋅2M∣h∣, and Δhf is holomorphic on Dk by [F5]. This is clause 2 with Cd:=4d2, which depends only on d.

3.1givenstep 1.1step 2.1algebra

Iteration. By induction on k: suppose Δhk−1f is holomorphic on Dk−1 with ∣Δhk−1f∣≤qk−1∣f∣D0 (true for k=1), then step 1.1 shows Ψh(Dk)⊆Dk−1, so Δhkf=Δh(Δhk−1f) is defined and holomorphic on Dk by clause 2, with bound q⋅qk−1∣f∣D0=qk∣f∣D0.

4.1givenstep 3.1algebra

The factor q. With C0≥16 the constraint ∣h∣≤rN implies 2M∣h∣≤ρ/(8N)=b and, with the constant Cd=4d2 of step 2.1, q=4d2M∣h∣b≤4d2MρC0MN⋅8Nρ=32d2C0≤14, because C0≥128d2=32Cd. This proves clause 3 with q≤1/4.

5.1step 1.1step 2.1step 3.1step 4.1∎

Conclusion. Clause 1 is step 1.1, clause 2 is step 2.1, clause 3 is steps 3.1 and 4.1; all constants depend only on d, M, ρ.

Remarks

  • The loss of margin is exactly 2b=ρ/(4N) per application: N applications consume ρ/4 of the available ρ/2, and the surviving domain D(ρ/4) still contains K. The choices b=ρ/(8N) and rN=ρ/(C0MN) are conventions fixed once and for all on this page; every later item refers to them.
  • The constant q≤1/4 is not used beyond the geometric summations; optimising it is irrelevant. No choice principle is used.
DefinitionDefinition: AI-adaptedProof: Not applicableprecheck passOpen item page →

The truncated binomial family Ths,N, the truncated logarithm LN(h), its coefficient fields Xj and the truncations X[N]

Definition

Let d≥1, let (U,Uρ,A~,B~,M,K,δ,Ψh) be analytic splitting data (Analytic splitting data with uniform holomorphic neighbourhood, and the exact symmetric splitting map Ψh), let C0=C0(d) be the constant of The difference operator Δh=Ψh∗−id loses a controlled domain margin and is bounded by CdM∣h∣/b, and fix the notation D(r), b=ρ/(8N), rN=ρ/(C0MN) and Dk=D(ρ/2−2bk) for 0≤k≤N of that lemma. Throughout, N≥2 is an integer, ∣h∣≤rN, and all functions are read on the domain DN unless stated otherwise.

Binomial coefficients. For s∈C and k∈N define

(sk):=∏i=0k−1(s−i)k!,

the empty product being 1, and k! the factorial of The factorial n! and the falling factorial nk‾, defined by recursion in N embedded in C; thus (s0)=1, (sk) is a polynomial in s of degree k with rational coefficients, (mk) agrees with the number of k-element subsets of an m-element set for integers m≥0 (and equals 0 when k>m), and

dds(sk)∣s=0=(−1)k+1k(k≥1),dds(s0)∣s=0=0.

Difference operator and pullbacks. For f holomorphic on D0 put Δhf:=f∘Ψh−f, a holomorphic function on D1 by The difference operator Δh=Ψh∗−id loses a controlled domain margin and is bounded by CdM∣h∣/b; for 0≤k≤N let Δhkf be the k-fold iterate, holomorphic on Dk, with Δh0f:=f. For m∈N let Ψhm be the partial m-fold composite of Ψh, defined only where every intermediate composition exists (so Ψh0=id).

Truncated binomial family. For s∈C, f holomorphic on D0 and Z∈DN define

Ths,Nf:=∑k=0N(sk) Δhkf,

a finite sum of functions each holomorphic on Dk⊇DN: it is a holomorphic function on DN, and for fixed h and f the map s↦Ths,Nf is a polynomial of degree at most N with values in the holomorphic functions on DN.

Truncated logarithm and coefficient fields. The truncated logarithm is

LN(h)f:=∑k=1N(−1)k+1k Δhkf=Ths,Nf∣s=0 differentiated in s,

that is, LN(h)f=dds(Ths,Nf)∣s=0; it is holomorphic on DN. For 1≤j≤N and each coordinate function zi (i=1,…,2d), the function h↦(LN(h)zi)(Z) is holomorphic on {∣h∣≤rN} and vanishes at h=0 (each Δhkzi is O(hk)), so the quotient (LN(h)zi)(Z)/h has a removable singularity at h=0 and a well-defined Taylor coefficient of hj−1; define the j-th coefficient field Xj:DN→C2d by

(Xj)i(Z):=[hj−1](LN(h)zi)(Z)h(Z∈DN, i=1,…,2d),

the coefficient being extracted by Cauchy's formula in the one variable h (Calculus of holomorphic maps: chain rule, Wirtinger derivatives, coefficient extraction in one variable, and locally uniform limits clause 3). Finally the truncation of the modified field at order N is

X[N](h):=∑j=1Nhj−1Xj,

a holomorphic map DN→C2d for every ∣h∣≤rN.

Remarks

LemmaStatement: AI-adaptedProof: AI-adaptedprecheck passOpen item page →

The binomial family of the splitting pullback is multiplicative and bracket-preserving, and its logarithm is a derivation

Statement

Let d≥1, let (U,Uρ,A~,B~,M,K,δ,Ψh) be analytic splitting data, and use all notation of The truncated binomial family Ths,N, the truncated logarithm LN(h), its coefficient fields Xj and the truncations X[N]: the domains D(r) and Dk, the parameters b=ρ/(8N), rN=ρ/(C0MN), the binomial coefficients (sk), the difference operator Δh, the truncated family Ths,N and the truncated logarithm LN(h). Let f,g be holomorphic on D0, and put E:=D(ρ/4). For every Z∈D0 and finite k, joint local holomorphy of Ψh and Ψ0=id give a neighborhood of (0,Z) on which the first k iterates are defined and stay in D0. Define [hj](Δhkf)(Z) from this local holomorphic family. Compatible flow germs make these coefficients independent of the neighborhood; coefficient extraction makes them holomorphic on D0. On E they agree with the uniform construction at order Qj:=max⁡{2,j} for k≤j, where ∣h∣<rQj and E⊆Dk. Whenever Dj denotes a distance domain below, allocate it with order Qj; thus Dj⊆D0 even for j=0,1. For s∈C and Z∈D0 define the coefficient polynomial

Pj(s)f:=∑k=0j(sk) [hj](Δhkf),

where [hj](Δhkf):=1j!∂hj(Δhkf)∣h=0, and Pj(s)f is a polynomial of degree at most j in s with coefficients in the holomorphic functions on D0.

Then:

  1. Integer case. For all integers Q≥2, 0≤m≤Q and every ∣h∣≤rQ, Thm,Qf=f∘Ψhm (omit the zero summands with k>m to extend the finite sum) on the domain Dm allocated with order Q.
  2. Multiplicativity and bracket identity. For every j∈N and every s∈C, as identities of holomorphic functions on Dj, Pj(s)(fg)=∑j1+j2=jPj1(s)f⋅Pj2(s)g,Pj(s){f,g}=∑j1+j2=j{Pj1(s)f,  Pj2(s)g}.
  3. The logarithm is a derivation. Put Djf:=Pj′(0)f∈O(D0) (the derivative in s at s=0), so that Djf=[hj](L(h)f) for the formal logarithm L(h):=∑k≥1(−1)k+1kΔhk. Then D0=0, each Dj is a C-linear local differential operator on holomorphic functions, and Dj(fg)=Djf⋅g+f⋅Djg,Dj{f,g}={Djf, g}+{f, Djg} as functions on Dj; equivalently the coefficient of hj in L(h)(fg) and in L(h){f,g} obeys the product rule and the bracket derivation rule. Moreover Djf for h-degree j≤N agrees with the j-th coefficient of the concrete holomorphic function h↦LN(h)f restricted to ∣h∣≤rN whenever j≤N.

Moreover Djf=∑i(Djzi)∂zif for j≥1: each coefficient derivation is the coordinate vector field used in the later Hamiltonian construction.

Facts & Assumptions

Given: The analytic splitting data and all notational conventions of The truncated binomial family Ths,N, the truncated logarithm LN(h), its coefficient fields Xj and the truncations X[N]; holomorphic f,g on D0.

[L1]

Binomial algebra: the polynomial identity (1+x)m=∑k=0m(mk)xk for m∈N holds for the single operator Δh in the algebra of operators on functions holomorphic on the appropriate domains, because all powers of Δh commute; (mk)=0 for integers k>m; and dds(sk)∣s=0=(−1)k+1k for k≥1 with value 0 for k=0 (The truncated binomial family Ths,N, the truncated logarithm LN(h), its coefficient fields Xj and the truncations X[N], The factorial n! and the falling factorial nk‾, defined by recursion in N).

[L2]

Pullback calculus: (f∘Ψhm)=(f∘Ψh)∘Ψhm−1, and {f∘Ψhm,g∘Ψhm}={f,g}∘Ψhm for holomorphic f,g, by the chain rule and Hamiltonian flows and the exact splitting map preserve the complexified canonical form and the Poisson bracket clause 3; all maps involved are holomorphic (Calculus of holomorphic maps: chain rule, Wirtinger derivatives, coefficient extraction in one variable, and locally uniform limits, Complex phase domains, holomorphic maps on Cm, and the complexified canonical form and bracket).

[L3]

Domains: Dj⊆Dj′ for fixed truncation order and j≥j′, and rj≤rj′ for j≥j′; Dhkf is holomorphic on Dk for ∣h∣≤rk (The difference operator Δh=Ψh∗−id loses a controlled domain margin and is bounded by CdM∣h∣/b).

[L4]

Holomorphic functions of h: if h↦G(h) is holomorphic for ∣h∣≤r and A(h)=B(h) for all such h, then all Taylor coefficients at 0 agree; and a polynomial in s vanishing at s=0,1,2,… vanishes identically (Calculus of holomorphic maps: chain rule, Wirtinger derivatives, coefficient extraction in one variable, and locally uniform limits clause 3, Iterated Cauchy formula, power-series expansion and Cauchy estimates for functions continuous and separately holomorphic on a polydisc).

Proof

technique · direct; identify the integer family with pullbacks, compare Taylor coefficients in $h$, then use polynomiality in $s$ and differentiate at $s=0$
1.1givenL1L2L3

Local coefficients and integer case. On any sufficiently small common neighborhood, write Ψh(Z)=Z+hR(h,Z) with holomorphic R. If a holomorphic family G(h,Z) is O(hk), then G(h,Ψh(Z))−G(h,Z) is O(hk+1): factor hk and integrate the spatial derivative of the remaining family along the short segment from Z to Ψh(Z). Induction therefore gives Δhkf=O(hk) locally. We prove Thm,Mf=f∘Ψhm for 0≤m≤M and ∣h∣≤rM by induction on m. For m=0, Th0,Mf=(00)f=f. If it holds for m, then by [L1] id+Δh=Ψh∗ on the relevant domains and (1+Δh)m applied to f equals f∘Ψhm; applying id+Δh once more gives (f∘Ψhm)∘Ψh=f∘Ψhm+1 by [L2], while the binomial expansion over M≥m+1 reproduces Thm+1,Mf because (m+1k)=0 for k>m+1.

2.1givenstep 1.1L2L4L5

Multiplicativity and bracket identities at integer s. For an integer m with 0≤m≤M, both Thm,M(fg) and Thm,Mf⋅Thm,Mg equal (f∘Ψhm)(g∘Ψhm) on Dm by step 1.1; likewise Thm,M{f,g} and {Thm,Mf,Thm,Mg} both equal {f,g}∘Ψhm by step 1.1 and [L2]. At any Z∈D0, the same finite pullback identities hold as local germs for arbitrary fixed integers m,M with M≥m. Comparing Taylor coefficients in h of order j≤M on that neighborhood by [L4] and using that Δhkf contributes only at order ≥k gives, for every j and every integer m≥0 (choose an integer truncation M:=max⁡{2,m,j}, distinct from the field bound M in the splitting data), Pj(m)(fg)=∑j1+j2=jPj1(m)f⋅Pj2(m)g,Pj(m){f,g}=∑j1+j2=j{Pj1(m)f,Pj2(m)g}.

3.1givenstep 2.1L1L4

Polynomial extension. Both sides of each identity of step 2.1 are polynomials in m of degree at most j (for the j-coefficient, products of polynomials of degrees j1,j2 with j1+j2=j), and they agree at every integer m≥0; hence by [L4] they agree for every s∈C. This is clause 2.

4.1givenstep 3.1L1L3L4

Derivative at s=0. Differentiate the identities of clause 2 in s at s=0 and use [L1]: since P0(s)f=(s0)[h0](Δh0f)=f and Pj(0)f=0 for j≥1 (all coefficients (0k) vanish for k≥1), the product identity becomes Dj(fg)=Djf⋅g+f⋅Djg, and the bracket identity becomes Dj{f,g}={Djf,g}+{f,Djg}. By [L1] again, Djf=∑k=1j(−1)k+1k[hj](Δhkf)=[hj](L(h)f). Finally, L(h)≡LN(h) mod hN+1 because the two series differ by terms of order hk≥hN+1; hence for j≤N the coefficients agree, and h↦LN(h)f is holomorphic on ∣h∣≤rN by The difference operator Δh=Ψh∗−id loses a controlled domain margin and is bounded by CdM∣h∣/b clause 3, so its Taylor coefficients are the Djf.

5.1givenstep 1.1step 4.1L4algebra

Coordinate field identification. Fix Z∗∈D0. By the integer pullback identity, each Δhkf is a finite linear combination of f∘Ψhm with 0≤m≤k; for fixed m, Ψhm(Z∗) is holomorphic in h near 0, equals Z∗ at h=0, and differs from Z∗ by O(h). The Taylor expansion of f at Z∗ through total degree j has a remainder O(∥W−Z∗∥j+1), so replacing f by that Taylor polynomial changes none of the coefficients [hj](Δhkf)(Z∗) for k≤j. The product derivation rule of step 4.1 gives Dj1=0 and annihilates at Z∗ every monomial of degree at least two in Z−Z∗: split such a monomial into two factors vanishing at Z∗. Only the linear Taylor terms remain, yielding Djf(Z∗)=∑iDjzi(Z∗)∂zif(Z∗). Since Z∗ was arbitrary, this is the claimed local differential-operator formula on D0.

6.1step 1.1step 3.1step 4.1step 5.1∎

Conclusion. Clause 1 is step 1.1, clause 2 is step 3.1 and clause 3 is step 4.1 together with the C-linearity of s-differentiation at 0 and of the coefficient extraction.

Remarks

  • The key point is that the family is a polynomial in s at each h-degree, so the integer-s identities — which are the multiplicativity and bracket naturality of the pullback — extend to all complex s; differentiating at s=0 then produces the derivation identities used to build the modified Hamiltonian. No convergence of the full series ∑k(−1)k+1Δhk/k is asserted here: only the concrete truncated functions LN(h)f for ∣h∣≤rN and their coefficients of order ≤N are used.
  • All identities are on complex domains; no real-valuedness or physical interpretation is involved, and no choice principle is used.
LemmaStatement: AI-adaptedProof: AI-adaptedprecheck passOpen item page →

Bounds for the truncated logarithm: ∣LN(h)zi/h∣≤8M/3 and ∣Xj∣≤(8M/3)(C0Mj/ρ)j−1

Statement

Let d≥1, let (U,Uρ,A~,B~,M,K,δ,Ψh) be analytic splitting data, and use the notation of The truncated binomial family Ths,N, the truncated logarithm LN(h), its coefficient fields Xj and the truncations X[N] and The difference operator Δh=Ψh∗−id loses a controlled domain margin and is bounded by CdM∣h∣/b: b=ρ/(8N), rN=ρ/(C0MN) with C0=max⁡{16,128d2}, the domains Dk, the difference operator Δh, the truncated logarithm LN(h) and the coefficient fields Xj, 1≤j≤N. Then for every integer N≥2, every ∣h∣≤rN and every coordinate index i:

  1. ∥Δhkzi∥Dk≤2M∣h∣ qk−1 for 1≤k≤N, where q=CdM∣h∣/b≤1/4.

  2. The function h↦(LN(h)zi)(Z)h, initially defined for 0<∣h∣≤rN, extends holomorphically to the disc ∣h∣≤rN, and ∣(LN(h)zi)(Z)h∣≤2M1−q≤8M3(∣h∣≤rN, Z∈DN).

  3. For 1≤j≤N and every Z∈DN, max⁡i∣(Xj)i(Z)∣≤8M3 rN−(j−1), and the sharper estimate max⁡i∣(Xj)i(Z)∣≤8M3(C0Mjρ)j−1, obtained for j≥2 by computing the j-th field with truncation order j, and for j=1 from X1=XA~+XB~; the two bounds agree in the form rN−(j−1)=(C0MN/ρ)j−1. The corresponding Euclidean field bounds are these component bounds multiplied by 2d.

  4. The field Xj is independent of the truncation order: if N,N′≥j then the j-th coefficient fields of LN and LN′ agree on D(ρ/4).

Facts & Assumptions

Given: The analytic splitting data, N≥2, b=ρ/(8N), rN=ρ/(C0MN), the fields Xj and functions LN(h)zi of The truncated binomial family Ths,N, the truncated logarithm LN(h), its coefficient fields Xj and the truncations X[N].

[L1]

Difference-operator bounds (The difference operator Δh=Ψh∗−id loses a controlled domain margin and is bounded by CdM∣h∣/b): ∥Ψh(Z)−Z∥≤2M∣h∣≤b on Dk, and for f holomorphic on Dk−1 with ∣f∣≤F, ∣Δhf∣≤qF on Dk with q=CdM∣h∣/b≤1/4; hence ∣Δhkf∣≤qkF on Dk.

[L2]

Cauchy coefficient estimates in one variable (Cauchy's inequalities bound the Taylor coefficients by the circle supremum): if G is holomorphic on D(0,R) and ∣G∣≤A on ∣h∣=r<R, then the j-th Taylor coefficient obeys ∣cj∣≤A/rj.

[L4]

Removable singularities and coefficient extraction: a function holomorphic and bounded on a punctured disc extends holomorphically to the centre, and the coefficients coincide with the Cauchy coefficients of Calculus of holomorphic maps: chain rule, Wirtinger derivatives, coefficient extraction in one variable, and locally uniform limits clause 3; the truncated logarithm is a finite linear combination of the Δhkzi, whose lowest h-degree in the k-th term is k, so (LN(h)zi)(Z)=O(h) at h=0 (Iterated Cauchy formula, power-series expansion and Cauchy estimates for functions continuous and separately holomorphic on a polydisc, Calculus of holomorphic maps: chain rule, Wirtinger derivatives, coefficient extraction in one variable, and locally uniform limits).

[L5]

Taylor coefficients of LN versus LN′: LN−LN′=∑k=min⁡+1max⁡(−1)k+1kΔhk is a sum of terms of h-degree ≥min⁡(N,N′)+1 (The truncated binomial family Ths,N, the truncated logarithm LN(h), its coefficient fields Xj and the truncations X[N]).

Proof

technique · direct; combine the displacement bound with the single-step operator bound, sum the geometric series, and apply Cauchy's coefficient estimate in $h$
1.1givenL1algebra

Iterate bound. For Z∈D1, ∣Δhzi(Z)∣=∣zi(Ψh(Z))−zi(Z)∣≤∥Ψh(Z)−Z∥≤2M∣h∣ by [L1]; applying the operator bound [L1] a further k−1 times gives ∣Δhkzi(Z)∣≤qk−1⋅2M∣h∣ on Dk. This is clause 1.

2.1givenstep 1.1L3L4algebra

Bound for the truncated logarithm. On DN, ∣LN(h)zi(Z)h∣≤∑k=1N∣Δhkzi(Z)∣k ∣h∣≤2M∑k=1Nqk−1k≤2M1−q≤8M3, using q≤1/4. The quantity (LN(h)zi)(Z) is O(h) at h=0 by [L4], and h↦(LN(h)zi)(Z)/h is holomorphic for 0<∣h∣≤rN by [L3]; the bound just proved makes h=0 a removable singularity, so the extension is holomorphic on ∣h∣≤rN. This is clause 2.

3.1givenstep 2.1L2algebra

Coefficient bound. Fix Z∈DN and let G(h):=(LN(h)zi)(Z)/h denote the holomorphic extension of clause 2. It is bounded by 8M/3 throughout the open disc ∣h∣<rN. For any radius 0<r<rN, the Taylor coefficient of order j−1, namely (Xj)i(Z) (The truncated binomial family Ths,N, the truncated logarithm LN(h), its coefficient fields Xj and the truncations X[N]), obeys ∣(Xj)i(Z)∣≤(8M/3)r−(j−1) by [L2], whose circle hypothesis is strict. Letting r↑rN gives ∣(Xj)i(Z)∣≤(8M/3)rN−(j−1). Taking the maximum over i gives the first estimate. The finite difference LN−LN′ starts at degree min⁡(N,N′)+1 by [L5], so coefficients through that degree minus one coincide. For j≥2 we may therefore use truncation order j, giving the sharper estimate. For j=1, differentiating the three subflows at zero gives X1=XA~+XB~, with each coordinate bounded by 2M≤8M/3.

4.1givenL5algebra

Independence of the truncation order. If N,N′≥j, then by [L5] the difference LN(h)zi−LN′(h)zi has no terms of h-degree ≤min⁡(N,N′), hence none of degree ≤j; dividing by h and extracting the coefficient of hj−1 gives the same value for both truncation orders, on the common domain D(ρ/4). This is clause 4, and it justifies the substitution made in step 3.1.

5.1step 1.1step 2.1step 3.1step 4.1∎

Conclusion. Clauses 1, 2 and 4 are steps 1.1, 2.1 and 4.1; clause 3 is step 3.1. All constants depend only on d, M and ρ.

Remarks

  • Note the displayed first estimate of clause 3 contains a redundant form; the usable statement is max⁡i∣(Xj)i(Z)∣≤(8M/3)(C0Mj/ρ)j−1, which exhibits the factorial-type growth of the modified-field coefficients and is the input to the truncation choice of Optimal finite truncation gives an exponential local splitting defect. The bound is uniform on DN and depends on M, ρ and d only.
  • No convergent infinite series is used: LN is a finite sum and the coefficients are extracted with Cauchy's formula in the single complex variable h.
LemmaStatement: AI-adaptedProof: AI-adaptedprecheck passOpen item page →

Each coefficient field Xj of the modified logarithm is a holomorphic symplectic field with a global holomorphic primitive Hj on the star-shaped domain, and X1=XA~+B~

Statement

Let d≥1, let (U,Uρ,A~,B~,M,K,δ,Ψh) be analytic splitting data with H~:=A~+B~, and let Xj, j≥1, be the coefficient fields of The truncated binomial family Ths,N, the truncated logarithm LN(h), its coefficient fields Xj and the truncations X[N] (independent of the truncation order by Bounds for the truncated logarithm: ∣LN(h)zi/h∣≤8M/3 and ∣Xj∣≤(8M/3)(C0Mj/ρ)j−1 clause 4), with the bound max⁡i∣(Xj)i∣≤βj:=8M3(C0Mjρ)j−1 of that lemma on the common retained domain E:=D(ρ/4). In this item Dj denotes E for every j≥1, including j=1, whose coefficient is extracted using any order N≥2. Write Xj=∑k=1duk(j)∂zk+∑k=1dvk(j)∂wk in the coordinates Z=(z,w) of Complex phase domains, holomorphic maps on Cm, and the complexified canonical form and bracket, and let Aj:=(∂Zl(Xj)k)k,l be its complex Jacobian. Then for every j≥1:

  1. Xj is a holomorphic vector field on Dj: all uk(j),vk(j) are holomorphic on Dj and real-valued on Dj∩R2d.
  2. AjJ+JAjT=0 on Dj; equivalently, the contraction one-form αj:=ιXjωC=∑k=1duk(j) dwk−∑k=1dvk(j) dzk is closed there.
  3. There is a holomorphic Hj:Dj→C with dHj=αj, Hj(0)=0 and Hj real-valued on Dj∩R2d, and ∣∇Hj∣≤2d βj,∣Hj(Z)∣≤2d βj ∣Z∣(Z∈Dj).
  4. X1=XH~=J∇H~; that is, for every holomorphic f on the domain of X1, X1f=d ⁣f(XH~).

Facts & Assumptions

[L2]

Derivation of the bracket: for the coefficient operators Dj of the logarithm, Dj{f,g}={Djf,g}+{f,Djg} for holomorphic f,g, and Xj acts on f as Xjf=Djf (The binomial family of the splitting pullback is multiplicative and bracket-preserving, and its logarithm is a derivation clause 3, The truncated binomial family Ths,N, the truncated logarithm LN(h), its coefficient fields Xj and the truncations X[N]).

[L3]

Realness of the extensions and their flows. By the distance-domain estimate in Complex phase domains, holomorphic maps on Cm, and the complexified canonical form and bracket, D(ρ) is star-shaped about 0. Fix ξ∈D(ρ)∩R2d; the set of real t for which tξ∈D(ρ) has a connected open interval containing [0,1]. The function gA(t):=Im⁡A~(tξ) is real analytic on that interval, since it is the restriction of a holomorphic function to a complex line. For t in a neighborhood of 0, tξ∈U because 0∈U and U is open, so gA(t)=0 as A~∣U=A and A is real-valued. To justify continuation, let S be the set of points where gA vanishes on a neighborhood. It is nonempty and open; if tj∈S converges to an interior point t, every derivative gA(k)(tj) is zero, so continuity of all derivatives gives gA(k)(t)=0 for every k, and the real-analytic Taylor expansion at t makes gA zero near t. Thus S is also closed in the interval and equals the whole interval. This proves A~(ξ)∈R; the identical argument applies to B~. The restrictions of these extensions to the open real domain D(ρ)∩R2d are real-valued, so their real-coordinate partial derivatives are real; holomorphic differentiability identifies those derivatives with the complex coordinate derivatives. Hence XA~=J∇A~ and XB~=J∇B~ are real on the real locus.

For either field F=XA~ or XB~, the Picard iterates in The flow of a bounded holomorphic field on a polydisc: existence in complex time, displacement bound, holomorphy, and the composition law starting from real Z remain real when t is real: the initial iterate is real, and each next iterate is Z+t∫01F(γm(σt)) dσ, an integral of real vectors by induction. Their limit is real because R2d is closed in C2d. Thus each local real-time flow preserves real points; uniqueness and the local gluing in that lemma preserve this property along every real continuation where the flow is defined. The three factors defining Ψh therefore preserve real points for real h, as do all defined iterates Ψhm.

[L4]

Closed one-forms on star-shaped real domains have potentials, with the explicit radial potential ϕ(x)=∫01⟨F(tx),x⟩ dt for centre 0 (Poincare's lemma on a star-shaped domain: every closed C1 field is exact, Star-shaped open subsets of Euclidean space); the complex domain Dj⊆C2d≅R4d is open and star-shaped about 0 (Complex phase domains, holomorphic maps on Cm, and the complexified canonical form and bracket), and the real and imaginary parts of a closed complex one-form with C1 coefficients are closed real one-forms.

[L5]

Holomorphy criterion: a complex-valued C1 function H on an open subset of C2d viewed as a real domain with ∂ZˉlH=0 for all l is holomorphic, since then dH is C-linear; and the zero-normalized radial primitive H(Z)=∫01α(tZ)(Z) dt is real-valued on the real part of its star-shaped domain whenever α is real on real points and real tangent vectors, because its integrand is then real (Complex phase domains, holomorphic maps on Cm, and the complexified canonical form and bracket, Calculus of holomorphic maps: chain rule, Wirtinger derivatives, coefficient extraction in one variable, and locally uniform limits clause 2, Directional derivatives and partial derivatives of a map U⊆Rm→Rn, The total (Fréchet) derivative Df(a) as the linear first-order approximation with o(∥h∥2) remainder).

Proof

technique · direct; read the bracket derivation rule on coordinate pairs to get closedness, integrate the closed form on the star-shaped domain, and identify the first coefficient by the differential of $\Psi_h$ at $h=0$
1.1givenL3algebra

Holomorphy and realness of the components. By The truncated binomial family Ths,N, the truncated logarithm LN(h), its coefficient fields Xj and the truncations X[N], (Xj)i is a coefficient in h of the holomorphic function h↦(LN(h)zi)(Z)/h (for any N≥max⁡{2,j}), so it is holomorphic in Z by Calculus of holomorphic maps: chain rule, Wirtinger derivatives, coefficient extraction in one variable, and locally uniform limits clause 3; this is clause 1's first assertion. For real Z and real h, Ψhm(Z) is real by [L3], so each Δhkzi, hence LN(h)zi, is real-valued there, and its Taylor coefficient in the real variable h at 0 is real; this gives the realness assertion.

1.2givenL1L2algebra

Closedness. Fix j and apply the bracket derivation rule [L2] to the constant bracket {Zk,Zl}=Jkl: 0=Dj{Zk,Zl}={DjZk,Zl}+{Zk,DjZl}={(Xj)k,Zl}+{Zk,(Xj)l}. Writing A:=Aj=(∂Zl(Xj)k) and using [L1], (Xj)k-component k of the field, {(Xj)k,Zl}=(∇(Xj)k)TJel and {Zk,(Xj)l}=ekTJ∇(Xj)l, so, using elTJT∇ak=(AJ)kl and ekTJ∇al=(JAT)kl for ak:=(Xj)k, the identity reads (AJ)kl+(JAT)kl=0 for all k,l, that is AJ+JAT=0. Equivalently, write αj=∑lbl dZl, so that b=(−v,u) and dbl=∑k∂Zkbl dZk; then dαj=∑k<l(∂Zkbl−∂Zlbk)dZk∧dZl, and comparing block entries shows that AJ+JAT=0 is precisely the symmetry of the Jacobian (∂Zkbl), i.e. the closedness dαj=0.

1.3givenL2algebra

The first coefficient. Since L(h)=Δh+O(h2) and Δhf=h d ⁣f(XA~+XB~)+O(h2), the coefficient of h in L(h)zi is dzi(XH~)=(J∇H~)i; here the derivative of Ψh at h=0 is XA~+XB~: differentiating Ψh=φA~h/2∘φB~h∘φA~h/2 at h=0 and using ddtφFt∣t=0=XF and DφF0=I gives 12XA~+XB~+12XA~. Hence X1=XH~, which is clause 4.

2.1givenstep 1.1L4L5algebra

Primitive. Let αj(R) and αj(I) be the real and imaginary parts of αj, viewed as real C1 one-forms on the open star-shaped set Dj⊆R4d; both are closed because dαj=0. By [L4] there are C2 potentials ϕ1,ϕ2 with dϕ1=αj(R), dϕ2=αj(I); subtracting constants we may assume ϕ1(0)=ϕ2(0)=0. Set Hj:=ϕ1+iϕ2. Then dHj=αj, and ∂ZˉlHj=dHj(∂Zˉl)=αj(∂Zˉl)=0 because αj is a (1,0)-form; hence Hj is holomorphic by [L5]. At real points and for real tangent vectors w, αj(w) is real by the realness of the coefficients from step 1.1, so dϕ2 vanishes on real directions at real points; the real part of Dj is star-shaped and connected, so ϕ2≡0 there and Hj is real-valued on Dj∩R2d. The gradient bound follows from ∇Hj=(−v(j),u(j))=−JXj and ∥Xj∥≤2dmax⁡k∣(Xj)k∣≤2dβj, and ∣Hj(Z)∣=∣∫01αj(tZ)(Z) dt∣≤2dβj∣Z∣ by the radial form of the potential and the norm inequality.

3.1step 1.1step 1.2step 2.1step 1.3∎

Conclusion. Clause 1 is step 1.1, clause 2 is step 1.2, clause 3 is step 2.1 and clause 4 is step 1.3.

Remarks

  • The star-shapedness of U (and hence of Uρ and every D(r)) is used exactly here: it produces global holomorphic primitives Hj on the working domain. On a domain with nonvanishing first de Rham cohomology the closed form αj would only be locally exact, and this is the step the design records as requiring the star-shaped hypothesis.
  • The primitive Hj is unique up to an additive constant on the connected domain Dj; the normalization Hj(0)=0 fixes it. The modified Hamiltonian of Optimal finite truncation gives an exponential local splitting defect is built from these normalized primitives.
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Symmetry of the splitting map forces Xj=0 for every even j, so the first possible modified-energy correction is of order h2

Statement

Let d≥1, let (U,Uρ,A~,B~,M,K,δ,Ψh) be analytic splitting data (Analytic splitting data with uniform holomorphic neighbourhood, and the exact symmetric splitting map Ψh), and use the notation of The truncated binomial family Ths,N, the truncated logarithm LN(h), its coefficient fields Xj and the truncations X[N] and Each coefficient field Xj of the modified logarithm is a holomorphic symplectic field with a global holomorphic primitive Hj on the star-shaped domain, and X1=XA~+B~: the coefficient fields Xj (j≥1, with Xj acting on holomorphic functions as the coefficient operator Dj=[hj]L(h), and Xj=Dj in the notation of that lemma) and the normalized primitives Hj with dHj=ιXjωC, Hj(0)=0, on the domains Dj.

  1. Reversibility. For the local flow germs at h=0, and their mutually reverse continuation branches wherever defined, Ψ−h=Ψh−1.
  2. Parity. Xj=0 for every even j≥2.
  3. Modified energy. Consequently H2=0. For N≥2 define the finite complex modified Hamiltonian on DN by Hh:=H~+∑j=2Nhj−1Hj. Then Hh=H~+∑j=3Nhj−1Hj on DN, so the first possible correction is of order h2. For real h, on the real part of DN, Hh restricts to the corresponding real function with baseline H=A+B.

Facts & Assumptions

Given: The analytic splitting data and the objects named in the Statement; for every holomorphic f on D0 the two families Thsf:=∑k≥0(sk)Δhkf,L(h)f:=∑k≥1(−1)k+1kΔhkf, read as formal power series in h whose h-degree-j coefficients are finite sums (because Δh=O(h)); the concrete truncations Ths,N, LN(h) of The truncated binomial family Ths,N, the truncated logarithm LN(h), its coefficient fields Xj and the truncations X[N] agree with them through order N.

[L2]

Integer case: for every integer m≥0, Thmf=f∘Ψhm as formal series in h (the sum is finite at each h-degree and equals the finite binomial sum of The binomial family of the splitting pullback is multiplicative and bracket-preserving, and its logarithm is a derivation clause 1 for any truncation order ≥m). Consequently Thmf is well defined for all m≥0 and all holomorphic f on D0.

[L3]

Formal identities in one element. Let A be an element of the ring of formal series in h with operator coefficients, with A=O(h). Define exp⁡(A):=∑m≥0Am/m! and log⁡(1+U):=∑k≥1(−1)k+1Uk/k, both well defined coefficient-wise because A=O(h) and U=O(h). Then: (i) exp⁡(A)exp⁡(−A)=1 and exp⁡(−A)exp⁡(A)=1, because all powers of A commute and the identity holds in the commutative Q-algebra Q[A]; (ii) log⁡(exp⁡(A))=A, because both sides are universal rational-coefficient expressions in the single element A and the identity holds in the commutative ring Q⟦x⟧ (differentiate t↦log⁡(exp⁡(tx)) and use (log⁡)′(1+u)=(1+u)−1 coefficient-wise); (iii) hence exp⁡ is injective on {A:A=O(h)}: if exp⁡(A)=exp⁡(B) then A=log⁡(exp⁡(A))=log⁡(exp⁡(B))=B.

[L4]

Formal binomial group law. For Bs(x)=∑k≥0(sk)xk, the falling-factorial recurrence gives (1+x)∂xBs=sBs and Bs(0)=1. Comparing coefficients determines the series uniquely. Thus BsBt satisfies the same equation as Bs+t and the same constant term, so BsBt=Bs+t. Differentiate in t at zero: ∂sBs=Bs∑k≥1(−1)k+1xk/k, by the derivative formula for (tk) at zero. Substituting the single operator x=Δh=O(h) makes all sums finite at any fixed h-degree and gives ∂sThs=L(h)Ths, with Th0=id (The factorial n! and the falling factorial nk‾, defined by recursion in N, The binomial family of the splitting pullback is multiplicative and bracket-preserving, and its logarithm is a derivation).

[L5]

Uniqueness of formal solutions: if s↦F(s) and s↦G(s) are families whose h-degree-j coefficients are polynomials in s with F′(s)=L(h)F(s), G′(s)=L(h)G(s) and F(0)=G(0), then F=G: comparing coefficients of sn determines each coefficient recursively from the preceding one, since L(h) acts coefficient-wise in h.

Proof

technique · direct; identify $\Psi_{-h}$ with the inverse, use the formal exponential of the logarithm to compare $L(h)$ and $L(-h)$, and differentiate in the binomial parameter
1.1givenL1algebra

Reversibility. Use the local flow germs, or continue each inverse factor along the reverse of the branch of its forward factor, as required by [L1]. For h in their common domain, Ψh−1=(φA~h/2∘φB~h∘φA~h/2)−1=φA~−h/2∘φB~−h∘φA~−h/2=Ψ−h by [L1]. This is clause 1.

1.2givenL2L4L5algebra

The exponential of the logarithm. By [L4] the family s↦Thsf solves the formal initial value problem of [L5] with initial value f; the family s↦log⁡-exponential exp⁡(sL(h))f solves the same problem, because ddsexp⁡(sL(h))=∑m≥1L(h)msm−1/(m−1)!=L(h)exp⁡(sL(h)) by commutation of L(h) with sL(h). By [L5], Thsf=exp⁡(sL(h))f as formal series in s; taking s=1 and using [L2] with m=1, Ψh∗f=f∘Ψh=Th1f=exp⁡(L(h))f.

2.1givenstep 1.2L2L3

Parity of the logarithm. Fix an integer m≥0. By clause 1 and [L2], T−hmf=f∘(Ψ−h)m=f∘(Ψh−1)m; by step 1.2 applied to the data at step −h this equals exp⁡(mL(−h))f. The same expression, read with the data at step h, equals (Ψh∗)−mf=exp⁡(L(h))−mf=exp⁡(−mL(h))f by [L3]. Hence exp⁡(mL(−h))f=exp⁡(m(−L(h)))f as formal series in h, for every integer m≥0. At fixed h-degree both sides are polynomials in m (all defining operations are polynomial at each degree), so the equality at all m≥0 extends to all complex m; taking m=1 gives exp⁡(L(−h))f=exp⁡(−L(h))f for every holomorphic f on D0, and injectivity of exp⁡ from [L3] gives L(−h)=−L(h).

3.1givenstep 2.1L6algebra

Vanishing of the even coefficients. Write L(h)=∑j≥0hjDj (so D0=0). Then L(−h)=∑j(−1)jhjDj and −L(h)=∑j−hjDj; comparing h-degree-j coefficients in the identity of step 2.1 gives (−1)jDj=−Dj, hence Dj=0 for even j. Since Xj acts as Dj by [L6], Xj=0 for every even j≥2. This is clause 2.

4.1givenstep 3.1L6∎

Modified energy. For j=2, X2=0 gives ιX2ωC=0, so dH2=0; since D2 is connected and H2(0)=0, H2=0 by [L6]. The definition of Hh in clause 3 therefore gives Hh=H~+∑j=3Nhj−1Hj on DN, and, for real h, its restriction to the real part of DN is real-valued: the baseline H~ and each normalized primitive Hj are real there by the primitive supplier. On U the baseline is H=A+B. No nonzero H3 is asserted; for example, an exact one-part splitting can have every correction zero. This is clause 3.

Remarks

LemmaStatement: AI-adaptedProof: AI-adaptedprecheck passOpen item page →

Optimal finite truncation gives an exponential local splitting defect

Statement

For analytic splitting data of Analytic splitting data with uniform holomorphic neighbourhood, and the exact symmetric splitting map Ψh, put m=2d, C0=max⁡{16,128d2}, C1=1024m2, C2=16eC0C1, a=ρ/(C2M) and c=alog⁡(2)/2>0. Here e=exp⁡(1) and log⁡ is the inverse of the real exponential on (0,∞) (The real exponential function and the number e by a power series, The natural logarithm as the inverse of the exponential function); positivity of c follows from strict increase of exp⁡ (The exponential function is strictly increasing). For 0<h≤a/3, set N=⌊a/h⌋≥2 and

Hh=H~+∑j=2Nhj−1Hj,X[N](h)=∑j=1Nhj−1Xj,

using the normalized primitives of Each coefficient field Xj of the modified logarithm is a holomorphic symplectic field with a global holomorphic primitive Hj on the star-shaped domain, and X1=XA~+B~. The time-h flow φHhh exists for initial data in D(ρ/8), for sufficiently small h depending only on the displayed data. There is C<∞, independent of h,N, such that

∥Ψh(Z)−φHhh(Z)∥≤CMh e−c/h(Z∈D(ρ/8)).

The same result holds for the splitting with A,B interchanged. The series defining Hh is finite.

Facts & Assumptions

Given: The stated splitting data, constants and normalized coefficients, with D(r) the distance domains.

[F1]

Bounds for the truncated logarithm: ∣LN(h)zi/h∣≤8M/3 and ∣Xj∣≤(8M/3)(C0Mj/ρ)j−1 gives the component bounds ∣(Xj)i∣≤(8M/3)rN−(j−1) on D(ρ/4) for j≤N, with rN=ρ/(C0MN).

[F2]

The binomial family of the splitting pullback is multiplicative and bracket-preserving, and its logarithm is a derivation identifies the coefficient logarithm with vector fields; Symmetry of the splitting map forces Xj=0 for every even j, so the first possible modified-energy correction is of order h2 proves exp⁡L(h)=Ψh∗ coefficient-wise. The primitive lemma identifies X[N]=XHh.

Proof

1.1givenF1F3algebra

Uniform field and flow radius. Fix N and let u be a complex parameter with ∣u∣≤RN=rN/C1. By [F1], summing a geometric series gives ∥X[N](u)∥≤m(8M/3)/(1−C1−1)≤4mM=:B on D(ρ/4). At each Z∈D(ρ/8) the polydisc of radius s=ρ/(16m) lies in D(ρ/4). The flow radius s/(8mB)=ρ/(512m2M) is at least RN since N≥2 and C1=1024m2. Picard iteration is also holomorphic in u (each iterate is a holomorphic parameter integral and the contraction is uniform); hence the time-u map of the field X[N](u) is holomorphic in u for ∣u∣<RN. Its displacement is at most B∣u∣. The splitting displacement is at most 2M∣u∣. All estimates hold uniformly on the initial-data domain.

2.1givenF2F3step 1.1algebra

Finite coefficient matching. In degree at most N, uX[N](u) agrees with L(u) as operators by [F2]. Terms in the exponential of order above N cannot change these degrees because both operators start in degree one. The time-u pullback of a fixed field X[N](u) has Taylor coefficients ∑k≥0uk(X[N](u))k/k!: differentiating f(φt(Z)) repeatedly in t gives Xkf and the holomorphic Taylor expansion supplies the coefficients. Therefore the two analytic coordinate maps agree through degree N. This argument uses finite jets and makes no assertion that the infinite formal logarithm converges.

3.1givenF3step 1.1step 2.1algebra

Cauchy tail. For each coordinate the difference EN(u,Z) of the two maps divided by u extends holomorphically at zero, has its first N coefficients zero, and is bounded by 2M+B on ∣u∣<RN. Cauchy estimates on smaller circles, followed by taking their radii to RN, give ∣EN(h,Z)∣≤(2M+B)(h/RN)N/(1−h/RN) for 0<h<RN. The actual map difference is hEN(h,Z); multiplying its coordinate bound by m gives the Euclidean bound.

4.1step 3.1F4algebra∎

Optimal integer choice. For N=⌊a/h⌋, h/RN=C1C0MNh/ρ≤C1C0/C2=1/(16e)<1/2 by [F4]. Also N≥a/(2h) when h≤a/3. The logarithm definition and the exponential addition law give 2−N=exp⁡(−Nlog⁡2); therefore Nlog⁡2≥c/h implies 2−N≤exp⁡(−c/h) by monotonicity of exp⁡. Thus (h/RN)N≤2−N≤e−c/h. The denominator in step 3.1 is at least 1/2, yielding the asserted defect. Interchanging A,B leaves all bounds and formal arguments unchanged.

LemmaStatement: AI-adaptedProof: AI-adaptedprecheck passOpen item page →

The optimal modified Hamiltonian differs from the original by order two

Statement

Use the splitting data, constants and N(h),Hh of Optimal finite truncation gives an exponential local splitting defect. There are constants CE,CG<∞, independent of 0<h≤a/3, such that on D(ρ/8)

∣Hh−H~∣≤CEh2,∥∇Hh∥≤CG.

In particular Hh is real analytic on the real part. Its additive normalization is Hh(0)=H(0), so the comparison includes constants.

Facts & Assumptions

Given: The stated data and normalized finite sum.

[F1]

Bounds for the truncated logarithm: ∣LN(h)zi/h∣≤8M/3 and ∣Xj∣≤(8M/3)(C0Mj/ρ)j−1 gives max⁡i∣(Xj)i∣≤(8M/3)(C0Mj/ρ)j−1 for j≥2 on the common inner domain; Each coefficient field Xj of the modified logarithm is a holomorphic symplectic field with a global holomorphic primitive Hj on the star-shaped domain, and X1=XA~+B~ gives ∥∇Hj∥≤2dβj and ∣Hj(Z)∣≤2dβj∥Z∥.

[F2]

Symmetry of the splitting map forces Xj=0 for every even j, so the first possible modified-energy correction is of order h2 gives X2=H2=0, and realness and holomorphy of all primitives are proved in the primitive lemma.

Proof

1.1givenF1algebra

Summable correction. Put b=C0M/ρ and uj=(bhj)j−1 for j≥3. Direct division gives uj+1/uj=bh(j+1)(1+1/j)j−1≤ebh(j+1). For j<N, h(j+1)≤hN≤a, so this ratio is at most eC0/C2<1/2. Therefore ∑j=3Nuj≤2u3=18b2h2, with the empty sum understood as zero.

2.1step 1.1F1F2algebra∎

Hamiltonian comparison. The bounded set D(ρ/8) has R=sup⁡Z∈D(ρ/8)∥Z∥<∞, since U is bounded. By [F1], [F2] and step 1.1, ∣Hh−H~∣≤R2d(8M/3)18b2h2, and the same bound without R controls ∥∇(Hh−H~)∥. As ∥XH~∥≤2M and J is an isometry, ∥∇H~∥≤2M. The gradient is therefore bounded independently of h after fixing h≤a/3. Reality, analyticity and normalization follow term by term in the finite sum.

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

Analytic Verlet retains order-two energy accuracy on exponential times

Statement

For analytic splitting data, let 0<h≤h0 be sufficiently small as in Optimal finite truncation gives an exponential local splitting defect, and let zj=Ψhj(z0)∈K for 0≤j≤n. Here e=exp⁡(1) and ex denotes exp⁡(x) (The real exponential function and the number e by a power series). There are constants C,c,h0>0, independent of h,n, such that

∣Hh(zn)−Hh(z0)∣≤Cnh e−c/h,∣H(zn)−H(z0)∣≤Ch2if nh≤ec/(2h).

Here Hh is the finite optimally truncated Hamiltonian with ∣Hh−H∣≤Ch2 on a neighbourhood of K. For kinetic-plus-potential data, choose the analytic labels A~=V, B~=12pTM−1p to obtain the velocity-Verlet map Kh/2∘Dh∘Kh/2; the other order is the position-Verlet variant. Each variant has the stated energy estimate. Compact retention of numerical iterates is assumed; no original-trajectory accuracy on exponential times is asserted.

Facts & Assumptions

Given: The splitting data, compact retention and small positive constant step.

[F1]

Optimal finite truncation gives an exponential local splitting defect gives a time-h modified flow with state defect at most Che−c/h and uniformly bounded displacement on D(ρ/8).

[F2]

The optimal modified Hamiltonian differs from the original by order two gives uniform gradient and order-two energy bounds. The analytic splitting and mechanical-map definitions fix the map order.

[F3]

Uniform mechanical-stage admissibility. The datum supplies δ=dist⁡(K,R2d∖U)>0 and ∥XA~∥,∥XB~∥≤M on Uρ. The holomorphic flow supplier The flow of a bounded holomorphic field on a polydisc: existence in complex time, displacement bound, holomorphy, and the composition law gives each subflow displacement at most M times its elapsed time. The real drift/kick identification under full segment containment is The drift, kick and velocity-Verlet maps are canonical: (DC)TJ DC=J and C∗ω=ω.

[F4]

For x>0, the power series defining exp⁡(x) has nonnegative terms and includes x2/2, hence exp⁡(x)≥x2/2 (The real exponential function and the number e by a power series).

Proof

1.1givenF3construct

Mechanical identification with a uniform smaller step. Decrease the existing positive h0, independently of n, so that h0≤δ/(4M) and h0≤ρ/(64d2dM). Starting at any z∈K, construct the three subflows successively using polydiscs of radius ρ/(42d) at their initial points. By [F3] their accumulated displacement, including every partial subflow time, is at most (1/2+1+1/2)Mh=2Mh≤δ/2. These polydiscs lie in Uρ, as in the distance-domain construction of the flow supplier, after further decreasing h0 to ensure 2Mh0≤ρ/16. For real mechanical initial data each subflow is real: on the real neighbourhood inside U its vector field is real, and uniqueness makes its local solution equal to its complex conjugate. If this real continuation reached the boundary of U before a factor ended, the accumulated displacement bound would put that boundary point within δ/2 of the starting point in K, contradicting the definition of δ. Local uniqueness therefore continues the real solution through every factor inside U. The mechanical fields integrate to affine drift and kick paths there, so [F3] identifies every complete internal segment and its endpoint with the corresponding real factor. Thus Ψh=Kh/2∘Dh∘Kh/2 in the potential-first order, and equals the position-Verlet variant in the other order, uniformly for every starting point in K. Retention of step endpoints in K lets this same argument apply at every step. All original energy estimates remain valid after decreasing h0.

1.2givenF1F2F3algebra

Modified conservation and local comparison. Along the modified flow, differentiation gives dHh(XHh)=∇HhTJ∇Hh=0 by skew symmetry. For zj∈K, the splitting displacement is at most 2Mh by [F3], and the modified-flow displacement is at most CGh by [F2], since J is an isometry and integration of Y˙=XHh(Y) bounds displacement by the supremum of ∥XHh∥ times elapsed time. Put C∗:=max⁡{2M,CG} and decrease h0 so that C∗h0≤ρ/16. Every point of the segment joining the two endpoints is then within ρ/16 of zj∈U, hence in D(ρ/8). Integrating the bounded gradient along this segment and using [F1] gives ∣Hh(zj+1)−Hh(zj)∣≤Che−c/h.

2.1step 1.2F2F4algebra∎

Telescoping and original energy. Summing step 1.2 over the finite n steps gives ∣Hh(zn)−Hh(z0)∣≤Cnhe−c/h. By [F2], ∣H(zn)−H(z0)∣≤2CEh2+Cnhe−c/h. If nh≤ec/(2h), the last term is at most Ce−c/(2h). Applying [F4] to x=c/(2h)>0 gives e−c/(2h)≤8h2/c2. Enlarging C proves the asserted order-two estimate for both splitting orders.

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Bounded per-step state perturbations add a separate linear energy term

Statement

Use the analytic data and small step of Analytic Verlet retains order-two energy accuracy on exponential times. Suppose computed points xj∈K satisfy ∥xj+1−Ψh(xj)∥≤η, for 0≤j<n, with η≥0 small enough that all comparison segments lie in D(ρ/8). Then

∣H(xn)−H(x0)∣≤2CEh2+Cnhe−c/h+CGnη.

In particular the state-error contribution is CG(t/h)η for t=nh. This is a deterministic additive-error hypothesis, not an analysis of floating-point arithmetic or a claim of rounded symplecticity.

Facts & Assumptions

Given: The stated computed points, perturbation bound, domain segments and analytic constants.

Proof

1.1givenF1algebra

Per-step estimate. Compare xj+1 first with Ψh(xj) and then with the modified-flow endpoint. Integrating the gradient along the two stated segments gives ∣Hh(xj+1)−Hh(xj)∣≤CGη+Che−c/h, using conservation at the modified endpoint.

2.1step 1.1F1algebra∎

Sum and compare. Summation gives ∣Hh(xn)−Hh(x0)∣≤CGnη+Cnhe−c/h. Adding the two endpoint bounds ∣Hh−H∣≤CEh2 proves the displayed result, including n=0 and η=0.

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Scope of the certified velocity-Verlet estimates: exact arithmetic, compact tubes, roundoff, and absent all-time claims

Exact scope of the certified estimates

The results The drift, kick and velocity-Verlet maps are canonical: (DC)TJ DC=J and C∗ω=ω, The velocity-Verlet step matches the exact flow through order two: local truncation error O(h3) on a convex tube and Finite-time global error of the velocity-Verlet method: ∥zn−Φnh(z0)∥≤C(eLT−1)h2/L are mathematical statements about the deterministic maps Dh, Kh and Vh of The splitting Hamiltonian H=A+B, the drift and kick maps, and the velocity-Verlet map in exact arithmetic. Symplecticity is an algebraic identity for the derivative, not a numerical observation. The finite-time bound holds only under the stated hypotheses: the potential is C3 on a convex tube, the step obeys ∣h∣≤h1, and both the exact orbit and the numerical iterates remain in the compact set K1 for the whole interval [0,T]. The constants are unoptimised and depend on the data through the listed sup-norms; no claim is made that the bound is attained or that it predicts observed errors.

Roundoff and arithmetic

Additive per-step errors in a Lipschitzian one-step scheme accumulate geometrically: η((1+Lh)n−1)/(Lh) treats rounding only through explicit hypotheses. On a metric state set (X,d), fix L≥0, h>0 and η≥0. The exact map V:X→X must satisfy d(V(x),V(y))≤(1+Lh)d(x,y) for every x,y∈X. The exact iterates zj+1=V(zj) and computed states xj∈X must start at the common initial state x0=z0∈X, with d(xj+1,V(xj))≤η at each computed step. Under these conditions, d(xn,zn)≤η((1+Lh)n−1)/(Lh) for L>0 (or d(xn,zn)≤nη for L=0). This lemma assumes the residual and map-Lipschitz bounds; floating-point arithmetic is not analysed here, and no IEEE-754 or machine-epsilon statement is made. For Verlet, a suitable one-step bound for Vh must be established separately: the exact-field derivative constant L1 in Finite-time global error of the velocity-Verlet method: ∥zn−Φnh(z0)∥≤C(eLT−1)h2/L bounds exact-flow stability and does not supply that map hypothesis. In particular the exact symplecticity above is not guaranteed under rounding, and the separate Bounded per-step state perturbations add a separate linear energy term gives a conditional linear energy perturbation term CGnη for analytic data, the stated sufficiently small fixed positive real step, and computed points xj∈K with residual ∥xj+1−Ψh(xj)∥≤η, provided both straight comparison segments [xj+1,Ψh(xj)] and [Ψh(xj),φHhh(xj)] lie in the controlled neighbourhood D(ρ/8). Here Hh is the finite modified Hamiltonian and φHhh its time-h flow from the cited lemma; its domain and bounded-gradient hypotheses are essential to this energy estimate. The residual bound and segment containment are adopted deterministic hypotheses, and no bound on machine rounding is derived.

Absent claims

The finite-time results alone do not assert (i) conservation of the original energy H under Vh; (ii) uniform-in-time boundedness of the energy error beyond finite T; (iii) existence of a convergent modified Hamiltonian series for Vh; (iv) any statement about adaptive steps, variable step sizes or non-separable Hamiltonians; or (v) any physically interpreted energy, mass or time step. The analytic backward-error refinement on this page, Analytic Verlet retains order-two energy accuracy on exponential times, replaces (ii) for analytic data by an exponentially small defect on exponentially long discretised times, under its own explicit hypotheses, and still does not assert (i) or (iii). The physical reading of M, V and h belongs to the consuming classical-mechanics pages, which add their own postulates and empirical qualifications.

5 · Examples, experiments and counterexamples

None yet.

Sources