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Symplectic Verlet and analytic backward error
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Analyticity of Holomorphic Functions; Liouville and Morera
- Arc Length and Rectifiable Curves
- Binary Operations, Monoids, Groups and Subgroups
- Bounded Variation and the Riemann–Stieltjes Integral
- Cm Math Canonical
- Cm Math Dynamics
- Compactness
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Complex Differentiability and the Cauchy–Riemann Equations
- Complex Power Series and Analytic Functions
- Connectedness
- Construction of the Natural Numbers
- Construction of the Real Numbers via Cauchy Sequences
- Construction of the Real Numbers via Dedekind Cuts
- Continuity, IVT, EVT, and Uniform Continuity
- Contour Integration
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Countability Axioms and Cardinal Functions
- Determinants of Matrices over a Commutative Ring
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Foundations of the Real Numbers for Analysis
- Fubini and Change of Variables
- Function Space Topologies and the Exponential Law
- Fundamental Trigonometric Identities
- Goursat's Theorem and Cauchy's Theorem in a Convex Domain
- Group Actions, Orbits, Stabilisers and Cayley's Theorem
- Hamiltonian Mechanics and Completely Integrable Systems
- Hereditary and Productive Behaviour of the Separation Axioms
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Limits of Real Functions
- limsup, liminf, and Subsequential Limits
- Line Integrals and the Gradient Theorem
- Linear Independence, Bases and Dimension
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Matrices, the Matrix of a Linear Map, and Change of Basis
- Metric Spaces
- Mixed Partials, Taylor Formulae, and Extrema
- Monotone Functions, Discontinuities, and Continuity Sets
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Normal Subgroups and Quotient Groups
- Normed and Banach Spaces
- Norming and Separation under Hahn–Banach
- Order, Zorn's Lemma, and the Axiom of Choice
- Partitions of Unity and Paracompactness
- pi: the Equivalent Characterizations
- Picard-Lindelöf and First-Order Ordinary Differential Equations
- Polynomial Rings, the Division Algorithm and Roots
- Power Series and Real-Analytic Functions
- Properties of the Integral and the Working FTC
- Rank Theorems and Embedded Submanifolds
- Relations, Functions, and Quotients
- Rings, Subrings, Integral Domains and Fields
- Rⁿ as a Normed Space; Vector-Valued Functions
- Roots, Rational Powers, and Classical Inequalities
- Separation Axioms: the Hierarchy
- Sequences and Limits
- Sequences and Series of Functions; Uniform Convergence
- Series: Convergence and the Nonnegative Tests
- Simple Field Extensions and the Construction of the Complex Numbers
- Sine, Cosine, and the Definition of Pi
- Smooth Manifolds and Smooth Maps
- Smooth Partitions of Unity and Exhaustions
- Smooth Vector Bundles and Sections
- Subspaces, Products, and Quotients
- Suprema and Infima
- Symmetric Groups, Cycle Decomposition and the Sign Homomorphism
- Symplectic Manifolds, Moser Stability, and Darboux–Weinstein Theory
- Tangent Cotangent and the Differential
- Tensor Fields Exterior Algebra and Differential Forms
- The Cantor Set, Baire Category, and Measure Zero in ℝ
- The Complex Exponential and Euler's Formula
- The Derivative and the Mean Value Theorems
- The Determinant of a Linear Operator, Cofactors and Cramer's Rule
- The Exponential Function
- The Exterior Derivative and Cartan Calculus
- The Fundamental Theorems of Calculus
- The Inverse and Implicit Function Theorems
- The Inverse Function Theorem Completed
- The Logarithm and General Powers
- The Riemann Integral in Rᵐ and Jordan Content
- The Riemann Integral: Definition and Integrability
- The Topology of Euclidean Space
- The Total Derivative in ℝᵐ → ℝⁿ
- The ZFC Axioms and the Basic Set Constructions
- Topological Spaces and Continuity
- Topology of ℝ
- Vector Fields Flows and Lie Derivatives
- Vector Spaces, Linear Subspaces, Span and Direct Sums
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
Additive per-step errors in a Lipschitzian one-step scheme accumulate geometrically:
Statement
Let be a metric space (Metric space: iff , symmetry, and the triangle inequality; pseudometric and ultrametric), let map into itself, and let and . Assume
which is a Lipschitz hypothesis on with constant (Lipschitz map, -Hölder map for rational , and contraction). Fix , put for , and let together with points satisfying
for a number ("computational error per step"). Then for every :
- if , , and if , ;
- if moreover satisfies the Lipschitz bound for all and some , then
- if for some and , then and therefore
Facts & Assumptions
Given: The metric space , the map , the constants , , , the exact iterates and the computed points with .
Metric axioms and the triangle inequality in the forms (Metric space: iff , symmetry, and the triangle inequality; pseudometric and ultrametric).
The Lipschitz hypothesis on , and the Lipschitz bound on in clause 2 (Lipschitz map, -Hölder map for rational , and contraction).
Exponential estimates: for , and for with strictly increasing (The exponential function is smooth and , The second fundamental theorem: if is differentiable on with and is integrable, then , The exponential function is strictly increasing, The exponential is positive and satisfies ).
Proof
One-step recursion. By [F1] and [F2],
Induction. We show for all . For this is . If it holds for , then step 1.1 gives .
Geometric evaluation. For the finite geometric sum is , and for it is ; this proves clause 1 in both cases. Clause 2 follows by applying the Lipschitz bound on to the pair and substituting clause 1.
Long-time form. If then by [F3], , so and . Finally because for ; 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 is a hypothesis on the computed points, not a derived roundoff bound. For velocity Verlet, its application requires a metric state set on which all stages are defined, , computed points remaining in , and a positive step . Establish separately a numerical-map bound for every . Then, for and , this lemma contributes to the finite-time error comparison, or when . The exact-field derivative constant in Finite-time global error of the velocity-Verlet method: bounds the exact flow and does not establish this map bound or invariance of . Combining the estimates requires their hypotheses on a common admissible set; exact-arithmetic symplecticity in The drift, kick and velocity-Verlet maps are canonical: and does not itself provide these error hypotheses.
- No choice principle is used; the induction is finite and the geometric sums are finite sums.
Complex phase domains, holomorphic maps on , and the complexified canonical form and bracket
Definition
Holomorphic maps. Let and let be open. Write each coordinate and identify with the corresponding open subset of by . A map is complex differentiable at when there is a map that is -linear — and for (Linear map between vector spaces over the same field, A linear map in Euclidean coordinates, is a field, every element is uniquely , and every nonzero element has inverse ) — with
the norm being the Euclidean norm of and (The total (Fréchet) derivative as the linear first-order approximation with remainder). Such an is unique by the argument of Complex differentiability at a point, the complex derivative, holomorphic functions, and entire functions, applied componentwise; it is denoted . The map is holomorphic on when it is complex differentiable at every point of ; for this is the notion of Complex differentiability at a point, the complex derivative, holomorphic functions, and entire functions. For holomorphic and put , the -th coordinate derivative; for this is the partial derivative of Directional derivatives and partial derivatives of a map in the complex coordinate direction.
Real analytic functions. Let and let be open. A function is real analytic at when there are an open set with and a holomorphic with for every ; is real analytic on when it is real analytic at every point of . Thus real analyticity is defined here exactly as admitting a local holomorphic extension.
Polydiscs. For and a polyradius with put
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 is finite, its distinguished boundary is
When any radius is infinite, no distinguished boundary is defined.
Complex phase domains. Let . A complex phase domain is a nonempty open whose points are written with , . In these coordinates, and denote the coordinate derivatives defined above for the corresponding entries of . On define the complexified canonical two-form and the complexified Poisson bracket of holomorphic functions by
and for a holomorphic its complex Hamiltonian field , where the same entries of from A phase domain, its canonical one-form and its standard symplectic two-form are regarded as a matrix in , and is the gradient column of coordinate derivatives. If is nonempty, it is open in , and the restrictions of and to 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 and put
where is the closure of in and the norm is the Euclidean norm of . Each is open, contains , and for ; if is star-shaped with respect to (Star-shaped open subsets of Euclidean space), then every is star-shaped with respect to as well.
Remarks
-
The definition of holomorphy used here is the -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 or to in this definition.
-
To verify the distance-domain claim, first note that is star-shaped about : if converges to , then and , so for every . If , the inequality supplies with . Thus and for . Hence , proving that is star-shaped with respect to .
The splitting Hamiltonian , the drift and kick maps, and the velocity-Verlet map
Definition
Let and let be a nonempty open phase domain with coordinates , and , standard two-form and standard symplectic matrix (A phase domain, its canonical one-form and its standard symplectic two-form).
Fix and with . Assume is symmetric and positive definite, meaning (The transpose of a matrix) and for every nonzero ; here is the matrix product of Rectangular matrix multiplication and the identity matrix , including zero-sized shapes. Transposing the two inverse identities and using uniqueness of a two-sided inverse gives . Fix an open with and a function of class ( Euclidean maps and diffeomorphisms), whose gradient and Hessian matrix 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 as a column vector and abbreviate by on .
For any scalar function , use the coordinate convention for its Hamiltonian field. With , contraction is .
On define the kinetic part and potential part
and the ambient-valued drift and kick formulas
Use these as partial self-maps of by setting The velocity-Verlet map of the splitting at step is the partial composite
where . Thus every intermediate input and the final output belongs to .
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 and are and by the convention above. The proposition The drift, kick and velocity-Verlet maps are canonical: and identifies and with the respective time- local flow values whenever their whole intermediate straight drift or kick segment stays in . Endpoint containment alone, used by the algebraic definitions above, does not imply this on an arbitrary open . When each of the three flow segments is admissible, 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 is denoted in the items of this page.
- For and the second-order differential equation , the map is the classical velocity-Verlet (leapfrog) update in one-step form: half a kick, a full drift, half a kick. For , and , 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.
Iterated Cauchy formula, power-series expansion and Cauchy estimates for functions continuous and separately holomorphic on a polydisc
Statement
Let , let , let be a polyradius with , and let be continuous and holomorphic in each variable separately, that is, for every and every choice of the other coordinates the slice is holomorphic on its open disc (Complex phase domains, holomorphic maps on , and the complexified canonical form and bracket, Complex differentiability at a point, the complex derivative, holomorphic functions, and entire functions). For a polyradius with put , a finite number.
Then:
- Iterated Cauchy formula. For every , and the iterated integrals in any order of the variables agree.
- Power-series expansion. For every polyradius with , and every , where the coefficients do not depend on , the series converges absolutely and uniformly on every compact subset of , and .
- Holomorphy, derivatives and estimates. The function is holomorphic on in the sense of Complex phase domains, holomorphic maps on , and the complexified canonical form and bracket. Its coordinate derivatives exist everywhere on , are continuous and holomorphic in each variable separately there, and satisfy for every polyradius with for all ,
Facts & Assumptions
Given: The polydisc with ; a continuous holomorphic in each variable separately; polyradii with ; the numbers .
One-variable Cauchy formula: if is holomorphic on and , then for , the contour integral agreeing with the parametrized Riemann integral over (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).
One-variable Taylor estimates: for holomorphic on with on , the -th Taylor coefficient obeys (Cauchy's inequalities bound the Taylor coefficients by the circle supremum); and for (Cauchy estimates on a smaller concentric disc).
Parameter integrals: if is jointly continuous and is holomorphic on the open for every , then is holomorphic on and the derivative integral formula holds under joint continuity of the derivative (A jointly continuous finite-interval parameter integral of holomorphic functions is holomorphic).
Write each continuous complex integrand in real and imaginary components using the coordinate identification of Complex phase domains, holomorphic maps on , 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 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 and integrable when , ; for , is integrable, ML estimate: a contour integral is bounded by a supremum bound times path length).
The modulus estimate: on a rectifiable contour, the circle having length 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).
Multi-index notation: , , , , and the geometric series over satisfies for ( maps and multi-index derivative notation in Euclidean space, Cauchy's inequalities bound the Taylor coefficients by the circle supremum).
A continuous function on a compact set attains a finite maximum; closed bounded subsets of Euclidean space are compact (A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value, Heine-Borel in : with the Euclidean metric a subset of 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, Open ball, closed ball and sphere in a metric space, Euclidean maps and diffeomorphisms).
Proof
Iterated Cauchy formula. We prove clause 1 by induction on . For it is exactly [F1]. Assume it holds for and let be as in the statement. Fix and write , . For fixed, the slice is holomorphic on the disc and continuous on its closure as the restriction of a continuous map, so [F1] gives . For each on the circle, the function is continuous and separately holomorphic on , , so the induction hypothesis gives as an -fold iterated integral over , , for . Substituting and interchanging the iterated integrals is legitimate by [F4], since after parametrizing each circle by the integrand is continuous on the compact product and the denominators never vanish (). This yields the displayed formula with the outer variable ; the argument applies to every order of the variables, either directly or by [F4].
Expansion of the kernel. Fix and with , and consider on the distinguished boundary the product of the geometric series valid because ; its partial sums converge uniformly on the compact parameter rectangle to the full product, by [F6] and the Weierstrass test with majorant .
Power-series expansion at a fixed contour radius. Fix any polyradius with and any . Choose an inner polyradius with for all ; the kernel expansion of step 1.2 applies with as the inner radius and as the contour radius. Applying clause 1 with contour radius and substituting that expansion, the integral of converges to that of by [F4]; by linearity the integral of is the finite sum , where is the displayed iterated contour integral with radii . Hence these partial sums converge to . The coefficient estimate follows from [F5], each factor contributing . By [F6], the resulting product of geometric series proves absolute convergence on and uniform convergence on every compact subset of , since the coordinate ratios have suprema strictly below there.
Independence of the contour radii. Fix a multi-index and two polyradii with all components strictly between and the corresponding . Connect them by changing one radius at a time. For a fixed coordinate , hold the other contour radii fixed and integrate first in those other variables, defining . For this means . The parameter-integral theorem [F3], applied to the scalar integrands of these iterated contour integrals, shows that is holomorphic on . Differentiating its one-variable Cauchy formula [F1] times at under the contour integral, justified by [F3] because the differentiated kernels are jointly continuous on the contour, gives . The right side is independent of . By [F4] the contour order can be chosen so this is the -th integral in ; therefore changing only leaves that coefficient unchanged. Repeating for each coordinate proves . In particular the coefficients do not depend on the admissible . For any compact subset of , choose a contour polyradius strictly larger in each coordinate than the maximum coordinate distance of that compact set from ; step 2.1 and the established independence give uniform absolute convergence there.
Complex differentiability at the centre. Write the expansion of step 2.1 at the point as with (a -linear map) and . Fix a polyradius with and take ; put . The coefficient bounds give , where . Thus as . Hence is complex differentiable at with . Applying the same argument at an arbitrary centre — the hypotheses hold on any polydisc centred at contained in — gives complex differentiability everywhere on , so is holomorphic there, with .
Derivative formula and estimates at the centre. Differentiating under the iterated integral of clause 1, the difference quotient of the kernel identity and [F4] give, for every , By [F5] the modulus is at most (each unmodified factor contributes , the squared factor contributes ), which is the estimate of clause 3 with .
Continuity and separate holomorphy of the derivatives. Fix a polydisc with . Compactness of inside the open polydisc lets us choose a polyradius with for every and . Differentiating the iterated Cauchy formula on , for , . The integrand is jointly continuous in and the contour parameters on the compact product, so the integral is continuous in ; fixing all but one coordinate of , the integrand is holomorphic in that coordinate and [F3] makes the integral holomorphic in it. Such polydiscs cover , proving the regularity assertion. The Cauchy bound of clause 3 applies at any centre with any polyradius strictly inside its domain.
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 , the geometric series are evaluated by [F6], and the limit is a uniformly convergent sequence of finite partial sums.
Remarks
- The lemma is stated for functions that are continuous and separately holomorphic, which is the hypothesis produced by the Picard iteration of The flow of a bounded holomorphic field on a polydisc: existence in complex time, displacement bound, holomorphy, and the composition law: slice-wise uniform limits of holomorphic functions are holomorphic by the one-variable Weierstrass theorem, and joint continuity comes from uniform convergence of continuous maps. The conclusion upgrades such a function to a holomorphic map in the -linear total-derivative sense of Complex phase domains, holomorphic maps on , and the complexified canonical form and bracket.
- The exponent in the interior estimate is not optimised; only the form is used on this page.
The velocity-Verlet step matches the exact flow through order two: local truncation error on a convex tube
Statement
Let and let , , , , , , , and be as in The splitting Hamiltonian , the drift and kick maps, and the velocity-Verlet map. Let be open, bounded and convex, let be nonempty compact, and let satisfy (Open ball, closed ball and sphere in a metric space). Put
the derivatives being the total derivatives with operator norms (The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case, Euclidean maps and diffeomorphisms, The total (Fréchet) derivative as the linear first-order approximation with remainder); assume all three numbers are finite (for example, this holds when ). Let be the local flow of (The local flow of an autonomous first-order system).
Then there exist and , depending only on , , , , , and , such that for every and every :
- is defined and lies in , and
- is defined and lies in , and its two block components satisfy with ; equivalently and have the same expansion through order two,
- Consequently for every and .
Facts & Assumptions
Given: The data of The splitting Hamiltonian , the drift and kick maps, and the velocity-Verlet map; an open bounded convex , a nonempty compact and with ; the finite constants of the Statement; the local flow of ; the abbreviations .
Field and derivatives. The coordinate Hamiltonian-field convention of The splitting Hamiltonian , the drift and kick maps, and the velocity-Verlet map gives ; here by that definition. Its total derivative is the block matrix with the Hessian of (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 , is , and the finiteness of is an explicit hypothesis, satisfied in particular when by continuity and the extreme value theorem ( 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 : with the Euclidean metric a subset of 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).
Quantitative local existence and uniqueness. If is continuous and locally Lipschitz on the open , , and satisfy , and -constant on that cylinder with and , then there is exactly one solution through on with graph in the cylinder; any two solutions through the same data agree on every common interval containing (Picard-Lindelöf local existence and uniqueness for first-order systems, The local flow of an autonomous first-order system). A field on has Lipschitz constant on : for the segment lies in by convexity, and the mean value estimate follows by integrating the derivative along the segment.
Vector-valued FTC and norm inequality. For a curve with continuous derivative, ; and for continuous (The derivative and the Riemann integral of a vector-valued function: an intrinsic derivative and a componentwise integral, The second fundamental theorem: if is differentiable on with and is integrable, then , For and integrable when , ; for , is integrable).
Chain rule. for totally differentiable composites (The chain rule for total derivatives: , The total (Fréchet) derivative as the linear first-order approximation with remainder).
Hessian symmetry and the integral form of the mean value estimate. , and for and points , where and is open and convex, one has by [F3] applied to and [F4] (The Hessian of a scalar field is symmetric, The Hessian matrix and critical points of a scalar field).
Proof
Uniform short existence. Put and . Choose so that , , and , ignoring a restriction whose left side is identically zero. Then [F2] on the ball supplies the flow from each for . Its displacement is at most by the integral equation and [F3].
Deviation of the exact flow. Define for . By [F4] and the flow equation (The local flow of an autonomous first-order system) the curve has derivative ; writing and using the mean value estimate for on the convex (so that , [F2]), Since , two applications of [F3] give and . This proves clause 1 with .
Intermediate points. Put , , and . The first kick displacement is at most , and the drift displacement is at most , so . The final kick also has displacement at most since the field is bounded there. Thus every intermediate point and the endpoint lie in , legitimating all three evaluations. The block formula for follows from [F1].
Expansion of the potential gradient. With , [F5] gives with , where is a Lipschitz constant of on the convex position set . Indeed, each has a lift , and is the momentum-output, position-input block of , giving its operator-norm bound by . Integrating this derivative along segments in gives , and then [F3] gives the stated remainder. Both endpoints lie in by step 2.2, and .
Exact algebra and remainders. The position identity is exact: , so . In the momentum identity use step 3.1 with . This gives , where . Its norm is at most , since and on are block restrictions of at any lift .
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 to bound both expansions and their difference. All constants use only the stated finite bounds and tube data.
Remarks
- The convexity of is used only to have the segment between any two points of inside , so that mean value estimates for and apply; the constants are unoptimised, and no sharpness of the cubic order is claimed here. The oscillator example on the companion page supplies an exact quadratic invariant and an original-energy comparison.
- The hypotheses are open conditions on the data: the convex tube is an explicit hypothesis; a compact subset of a general nonconvex need not admit one (Heine-Borel in : with the Euclidean metric a subset of 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). No physical interpretation of , or enters the argument.
Calculus of holomorphic maps: chain rule, Wirtinger derivatives, coefficient extraction in one variable, and locally uniform limits
Statement
Let and let , be open, with holomorphy in the sense of Complex phase domains, holomorphic maps on , and the complexified canonical form and bracket.
- Chain rule. If and are holomorphic, then is holomorphic and
- Wirtinger derivatives and the bracket matrix. If is holomorphic, then is totally differentiable as a map of and, writing for the real and imaginary parts of , Consequently, for holomorphic on a complex phase domain , with and the standard matrix,
- Coefficient extraction in a complex step variable. Let and let be open, and let be holomorphic. Then for every the coefficient map is holomorphic on , and for every , .
- Locally uniform limits. For maps , define locally uniform convergence here to mean that for every nonempty compact and every there is such that for all , with the Euclidean norm on . This is equivalent to uniform convergence of each of the finitely many scalar components on every such , since . 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 are holomorphic and converge in this sense to , then is holomorphic on .
Facts & Assumptions
Given: The open sets and the holomorphic maps named in each clause; throughout ( as the Euclidean plane and as a normed real algebra: what the identification preserves, is the real coordinate plane, with coordinate arithmetic).
-linear maps are -linear, and the real total derivative of a holomorphic map equals its -linear derivative read on ; moreover a composition of -linear maps is -linear (Complex phase domains, holomorphic maps on , and the complexified canonical form and bracket, The total (Fréchet) derivative as the linear first-order approximation with remainder, Directional derivatives and partial derivatives of a map ).
The chain rule for total derivatives: ; and the partial derivatives in the coordinate directions are the entries of the total derivative (The chain rule for total derivatives: , The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case, Euclidean maps and diffeomorphisms).
Cauchy formula in one variable and Taylor coefficients: for holomorphic on and , (Iterated Cauchy formula, power-series expansion and Cauchy estimates for functions continuous and separately holomorphic on a polydisc, clause 2, with ; Cauchy's inequalities bound the Taylor coefficients by the circle supremum).
Parameter integrals: a jointly continuous with -slice holomorphic in the parameter 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).
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 , and the complexified canonical form and bracket).
The matrix identity: for as in clause 2, , by block multiplication (Rectangular matrix multiplication and the identity matrix , including zero-sized shapes, The transpose of a matrix).
Proof
Clause 1. A holomorphic map is totally differentiable as a real map with by [L1], so [L2] applies to : it is totally differentiable with derivative , a composite of -linear maps, hence -linear by [L1]. Since was arbitrary, is holomorphic with the displayed derivative.
Clause 2. Let be holomorphic and fix . The partial derivatives exist and are the images under of the real basis vectors by [L2]; because is -linear, , that is, . Hence and . The matrix identity of clause 2 is then exactly [L6].
Clause 3, holomorphy of . For fixed the map is holomorphic on (composition of the holomorphic with the holomorphic slice injection, clause 1), so is well defined and equals the contour integral of [L3]. To see that is holomorphic, fix one coordinate and hold the others; the integrand is, on the compact circle times a small disc in , jointly continuous because is continuous by [L5], and holomorphic in for each because the slice is holomorphic (clause 1). By [L4] applied to the parametrized integral, is holomorphic in on that disc; hence each scalar component of 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 on a polydisc around any point, is holomorphic on : assemble the finitely many complex-linear component derivatives, whose remainder norm is at most times the largest scalar remainder.
Clause 4. Around any choose a closed polydisc contained in . It is compact, so convergence is uniform there in the Euclidean target norm. Continuity of at follows from , first choosing to make both uniform errors less than , then choosing close enough to for the middle term. Apply the remaining argument to each scalar component: fixing all coordinates but one, the slice is a locally uniform limit of holomorphic one-variable functions, hence holomorphic by [L4]; thus each scalar component is continuous and separately holomorphic on , 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 , with vector remainder .
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
- Clause 3 is applied on this page to families whose coefficients are the field components ; it is the only place where the analytic (rather than merely formal) dependence on the complex step variable is used.
- Clause 1 for and a disc is used to see that is holomorphic in for fixed , once the joint holomorphy of is available from The flow of a bounded holomorphic field on a polydisc: existence in complex time, displacement bound, holomorphy, and the composition law.
The drift, kick and velocity-Verlet maps are canonical: and
Statement
Let , let , , , , , , , and be as in The splitting Hamiltonian , the drift and kick maps, and the velocity-Verlet map, with the standard two-form and 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:
- is with constant derivative and, when the whole segment for between and lies in , is the time- value of the local flow (The local flow of an autonomous first-order system) of the Hamiltonian field of the kinetic part; moreover
- is with derivative where is the Hessian matrix of , and, when the whole segment for between and lies in , is the time- value of the local flow of the Hamiltonian field of the potential part; moreover
- The admissible composition domain of is open, is there, and its derivative satisfies so that : the velocity-Verlet map preserves the standard two-form and, when its admissible composition domain is nonempty, is a local 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 , the drift and kick maps, and the velocity-Verlet map: the phase domain , the symmetric positive definite with its specified two-sided inverse, the potential , and the maps . Transposing the inverse identities and using gives .
Derivative calculus: the Jacobian matrix of a map records its partial derivatives, composition obeys , and a map is when its partial derivatives are continuous (The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case, Directional derivatives and partial derivatives of a map , The chain rule for total derivatives: , The total (Fréchet) derivative as the linear first-order approximation with remainder, Euclidean maps and diffeomorphisms).
Symmetry of the blocks: as recalled in the data, and for the scalar field (The Hessian of a scalar field is symmetric, The Hessian matrix and critical points of a scalar field).
The matrix test: for maps between phase domains with the same , preservation of the standard two-form, , is equivalent to (A map between phase domains preserves the standard two-form iff , and a canonical diffeomorphism carries to , A phase domain, its canonical one-form and its standard symplectic two-form).
Local flows: for a locally Lipschitz field , the time- map of its local flow is characterised among solutions by and , 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
Clause 1, derivative and flow. The map is affine, hence , with constant Jacobian read off from the partial derivatives by [F1]. The curve has derivative at its own value, and at it equals ; if its full segment between and stays in , uniqueness in [F4] identifies its endpoint with the time- local flow value of . Writing , block multiplication using [F1] and the fact that the blocks , commute with each other gives the middle factor being .
Clause 2, derivative and flow. The first block row of is because leaves unchanged; the second block row is because has -gradient and -gradient by [F1]; makes of class (and the Hessian entries ), so the displayed formula for is . The curve has derivative at its own value and equals at , so, when its full segment up to stays in , [F4] identifies its endpoint with the time- local flow value of . With and , block multiplication using from [F2] gives the middle factor being .
Clause 3, composition. Since is , its gradient is , so each kick is and the drift is smooth. The admissible composition domain is an intersection of finitely many preimages of the open set under these continuous maps, hence open; their composition is on it. At each point there, the chain rule of [F1] gives with evaluated at , evaluated at , and evaluated at . Each factor satisfies by steps 1.1-1.2, so
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 map , so on its admissible open domain. The explicit inverse factors are and ; reversing the palindrome gives as the inverse on the image wherever the compositions exist. Restriction to these open domains makes a diffeomorphism onto its open image, with inverse , preserving the form. Thus it is a local 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 in exact arithmetic only, and says nothing about floating-point or rounded arithmetic.
- The identities also show directly that where defined; neither determinant sign nor phase-volume preservation is used on this page.
Analytic splitting data with uniform holomorphic neighbourhood, and the exact symmetric splitting map
Definition
Let . Analytic splitting data consists of the following objects.
- A nonempty open bounded set , star-shaped with respect to (Star-shaped open subsets of Euclidean space), together with a number and the uniform holomorphic neighbourhood of Complex phase domains, holomorphic maps on , and the complexified canonical form and bracket.
- Functions (written additively as the splitting ) that are real analytic on and admit holomorphic extensions with and , where holomorphy is the -linear total-derivative notion of Complex phase domains, holomorphic maps on , and the complexified canonical form and bracket. Set on ; then .
- A constant with and pointwise on , where is the complex Hamiltonian field of a holomorphic and the norm is the Euclidean norm of (Complex phase domains, holomorphic maps on , and the complexified canonical form and bracket, A phase domain, its canonical one-form and its standard symplectic two-form).
- A nonempty compact ; then because is compact, is closed and nonempty, and the two sets are disjoint (Heine-Borel in : with the Euclidean metric a subset of 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 and , 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 of and a uniquely determined holomorphic solution with and . Write when . 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 is the partial map from to given by
defined wherever the composition exists; for its -th iterate is ( factors, ).
Remarks
- Only and enter ; the real functions serve to state the hypotheses and conclusions on . On real points of , the restrictions and make their coordinate fields real. Whenever the full real-time flow segments stay in , uniqueness identifies the complex local flows on those data with the corresponding real local flows.
- In the mechanical case of The splitting Hamiltonian , the drift and kick maps, and the velocity-Verlet map (, ), the two flows and , restricted to real points and real times whose entire affine drift or kick segment remains in , are exactly the drift and the kick by The drift, kick and velocity-Verlet maps are canonical: and ; hence whenever all three full internal segments remain in . Interchanging the analytic labels gives . For each order the segment condition applies to every factor at its own initial state; endpoint inclusion alone does not ensure it on arbitrary . In Analytic Verlet retains order-two energy accuracy on exponential times a smaller uniform step bound obtained from and its margin supplies this condition.
- The bound on the complex neighbourhood , not merely on , is an essential hypothesis: it is what makes the analytic continuation and the Cauchy estimates on complex domains available. The number and the margin are fixed data; no smallness is required of .
Finite-time global error of the velocity-Verlet method:
Statement
Use the data, finite field and derivative bounds, and constants of The velocity-Verlet step matches the exact flow through order two: local truncation error on a convex tube on an open bounded convex tube , with compact and positive tube margin. Let , , and satisfy . Suppose and both lie in for . With , the following holds:
The constants are independent of , with the displayed data fixed.
Facts & Assumptions
Given: The stated data, including finite bounds on the convex tube and retention of both sequences in .
The velocity-Verlet step matches the exact flow through order two: local truncation error on a convex tube supplies existence of the short exact trajectories from each point of in , and .
On the convex , the derivative bound and the chain rule give ; the exact flow obeys its integral equation (The local flow of an autonomous first-order system, The second fundamental theorem: if is differentiable on with and is integrable, then ).
Exponential integration and monotonicity follow from The exponential function is smooth and and The exponential function is strictly increasing.
The field is 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 and are defined, then , for signed real times as well.
Proof
Exact-flow stability. Write . For short trajectories starting at , their distance , with time oriented by the sign of , satisfies on by [F2]. If , then ; differentiation of proves . Thus .
Recurrence. Set . For , the datum lies in , so [F1] supplies ; [F4] with gives . Thus by [F1], . Since , induction gives .
Evaluation. For the sum is , and , obtained by integrating on . Hence . For the sum equals and gives .
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 .
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 is a holomorphic map satisfying . For a closed time disc, a solution means the restriction of such a map that is continuous on the closed disc.
Let , let be open, let be holomorphic in the sense of Complex phase domains, holomorphic maps on , and the complexified canonical form and bracket with everywhere on for some , let and let satisfy (Complex phase domains, holomorphic maps on , and the complexified canonical form and bracket). Put
Then there is a map that is the restriction of a jointly holomorphic map on , such that:
- Solution. For every , solves with for . It is the unique holomorphic solution on among solutions with values in . On it satisfies .
- Holomorphy. is holomorphic on the open set in the sense of Complex phase domains, holomorphic maps on , and the complexified canonical form and bracket, and .
- Composition and inverse. Repeating the construction with each initial point as a center gives a family of compatible local maps; in this clause denotes the map in the chart centered at . If the two sides are defined by branches on the same connected open continuation of a solution, then . In particular, along the reverse continuation of the same local solution, whenever both sides are defined.
Facts & Assumptions
Given: The open , the holomorphic with on , the point , the radius with , and .
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 is bounded by on the distinguished boundary of a polydisc of radius about , then . Applying this to each component gives whenever . Thus the Euclidean norm of the -th column of is at most . For , , using . This supplies the claimed vector-valued Lipschitz constant without applying a scalar estimate directly to a vector-valued map.
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.
Parameter integrals (A jointly continuous finite-interval parameter integral of holomorphic functions is holomorphic): a jointly continuous scalar 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 -valued integrand, apply this scalar result to each of its components; the resulting integral is holomorphic componentwise.
Completeness and componentwise uniform limits. A uniformly Cauchy sequence of maps into has a pointwise limit: at each argument its 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 -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 . 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 remainders is again , so the vector map is holomorphic in the total-derivative sense.
Integrals of continuous -valued functions satisfy ; the complex segment integral is thereby controlled (For and integrable when , ; for , is integrable, The derivative and the Riemann integral of a vector-valued function: an intrinsic derivative and a componentwise integral).
Polydisc and ball geometry: and for every radius ; balls are convex and compact balls are compact (Complex phase domains, holomorphic maps on , and the complexified canonical form and bracket, 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, Heine-Borel in : with the Euclidean metric a subset of 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, A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value, Directional derivatives and partial derivatives of a map , The total (Fréchet) derivative as the linear first-order approximation with remainder).
The vector-valued fundamental theorem of calculus gives for a differentiable with integrable derivative; its bounded-derivative clause says that if is continuous and on , then (If is differentiable with integrable then ; and a bounded derivative makes Lipschitz, both clauses).
Proof
Lipschitz estimate. For every with , the polydisc is contained in : each coordinate satisfies . By [L1], the operator norm of is at most . For the segment , , stays in the convex ball by [L6]; by the chain rule in [L2], its derivative is and has norm at most . Applying [L7] to this real-parameter curve gives . Since , .
The Picard map [construct]. Fix and let be the set of continuous with and for all , equipped with the supremum distance. Define by . For , the integrand is continuous; since and , its values satisfy and lie in . Therefore : maps to itself. Moreover, by step 1.1 and [L5], for , The same construction on with also works: and , so the iterates have summable successive differences bounded by a geometric sequence with ratio and remain in . The coordinatewise completeness argument of [L4] gives their limit. Repeating steps 3.1--5.1 with this radius yields a solution holomorphic on , so the solution on extends through its boundary.
Iterates. For each initial value , put and ; all lie in by step 2.1, and . Joint continuity in follows by induction: is continuous, and if is jointly continuous then is continuous; on each compact parameter neighborhood its -integral is continuous by uniform continuity. Each is also holomorphic on in the variable : is constant; if is holomorphic then and its composition with are holomorphic for each by [L2]. The parameter integral in the definition of is holomorphic componentwise by [L3], so every component of is holomorphic in ; the finite-dimensional assembly described in [L4] makes the vector map holomorphic. For fixed , the same induction shows that each component of is holomorphic in each coordinate of : apply [L3] separately to each output component and each input coordinate. Thus the iterates are continuous and separately holomorphic in the variables needed below.
Uniform convergence. By step 3.1, is uniformly Cauchy on : for . By the coordinatewise completeness argument in [L4], it converges uniformly to a map ; the componentwise continuity argument in [L4] makes continuous. It satisfies , indeed , and . For fixed , each component of is a locally uniform limit of holomorphic functions, so it is holomorphic by [L4]; the same applies to each output component with fixed and one complex coordinate of 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 a holomorphic -valued map.
Fixed point and differential equation. is Lipschitz with constant on by step 2.1, so uniformly. Put , which is holomorphic with continuous derivative on by step 4.1 and [L2]. The fixed-point identity is . By the derivative formula in [L3], applied componentwise, where the penultimate equality is [L7] applied to the -valued curve . The fixed-point identity also gives and, by [L5], . This proves clause 1 except uniqueness, and clause 2.
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 , the curves and have the same initial value and derivative wherever both are defined. Local uniqueness, followed by this continuation argument, proves the qualified composition rule and, with , the inverse rule. This proves all three clauses.
Remarks
- The lemma is local by design: the time radius shrinks with the size of the field and with the complex margin, and the initial-data ball is . 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 , which is what the contraction proof gives; no global uniqueness of complex-time solutions outside that ball is claimed.
Hamiltonian flows and the exact splitting map preserve the complexified canonical form and the Poisson bracket
Statement
Let and let be analytic splitting data as in Analytic splitting data with uniform holomorphic neighbourhood, and the exact symmetric splitting map , with the standard matrix and , the complexified form and bracket of Complex phase domains, holomorphic maps on , and the complexified canonical form and bracket. Let and let be the flow of 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.
- For every in the flow domain, is holomorphic near , its derivative is invertible, and
- For every and every point where is defined and holomorphic, is invertible and
- For all holomorphic on an open set containing ,
Facts & Assumptions
Given: The analytic splitting data of Analytic splitting data with uniform holomorphic neighbourhood, and the exact symmetric splitting map ; a field with on ; the flow of ; the exact splitting map .
The flow is holomorphic, and holomorphic maps are : the coordinate derivatives of a holomorphic map are again holomorphic (Iterated Cauchy formula, power-series expansion and Cauchy estimates for functions continuous and separately holomorphic on a polydisc clause 3, Calculus of holomorphic maps: chain rule, Wirtinger derivatives, coefficient extraction in one variable, and locally uniform limits clause 1 and 2, Complex phase domains, holomorphic maps on , and the complexified canonical form and bracket).
The variational equation. Since solves and both sides are in by [L1], Clairaut's theorem permits exchanging the mixed partials, and the chain rule gives (Clairaut--Schwarz theorem for continuous second partial derivatives, The chain rule for total derivatives: , The total (Fréchet) derivative as the linear first-order approximation with remainder, Directional derivatives and partial derivatives of a map ).
For holomorphic , its gradient column has total derivative , a complex-symmetric matrix, and because (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 , and the complexified canonical form and bracket).
Matrix algebra: , , hence ; for invertible , the identity is equivalent to ; and products of matrices satisfying the identity satisfy it again (Rectangular matrix multiplication and the identity matrix , including zero-sized shapes, The transpose of a matrix, Invertible matrices and the general linear group ).
Bracket matrix identity: for holomorphic , (Calculus of holomorphic maps: chain rule, Wirtinger derivatives, coefficient extraction in one variable, and locally uniform limits clause 2).
Proof
The derivative of the matrix identity along the flow. Fix in the flow domain and put . By [L2], , and by [L3], with symmetric. Then using , and ([L4]). Since the expression is continuous in and has zero derivative on the connected flow interval, it equals its value at , namely . Thus .
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 near . The chain rule gives : the derivative is invertible with inverse , and the identity of step 1.1 transfers to by [L4].
Composition. The chain rule gives with at , at and at . Each satisfies by step 1.1 and is invertible by step 2.1; hence by [L4], and is invertible as a product of invertible matrices.
Bracket identity. Let be holomorphic near . By the chain rule, , and likewise for ; hence by [L5] By step 3.1 and the equivalence of [L4] (applicable because is invertible), , so the last display equals by [L5] again.
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
- Whether the flows are globally defined on the whole of is not asserted; all identities hold wherever the flows and compositions exist, which is the only form used on this page. The lemma is the complexified counterpart of the real symplecticity of the splitting map in The drift, kick and velocity-Verlet maps are canonical: and ; for the mechanical data the velocity-Verlet variant is obtained by interchanging the analytic splitting labels.
- The bracket identity is the hypothesis that makes the formal logarithm a derivation of the Poisson bracket in The binomial family of the splitting pullback is multiplicative and bracket-preserving, and its logarithm is a derivation.
The difference operator loses a controlled domain margin and is bounded by
Statement
Let and let be analytic splitting data as in Analytic splitting data with uniform holomorphic neighbourhood, and the exact symmetric splitting map , with complexified form and bracket as in Complex phase domains, holomorphic maps on , and the complexified canonical form and bracket. For put .
There is a constant such that for every integer , with
the following holds for every complex with . Write for ; then , , and for . Define the difference operator
for functions holomorphic on , where the composition is read on . Then:
- Domain control. For every the map is holomorphic on , maps into , and satisfies for all .
- Single-step bound. If is holomorphic on with there, then is holomorphic on and with .
- Iterates. Taking one has for , and for every holomorphic on and every , the iterate is holomorphic on and
Facts & Assumptions
Given: The analytic splitting data; , , the domains ; the constant of clause 2 (to be produced in the proof).
Geometric facts about the distance domains (Complex phase domains, holomorphic maps on , and the complexified canonical form and bracket): is -Lipschitz, so implies for every , and for . Every has , so .
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 displaces its argument by at most times the modulus of its time parameter, provided the argument lies in the appropriate polydisc of radius with ; consequently, on the domains used below, . 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.
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 is continuous and separately holomorphic on , then for , with ; a function holomorphic on an open set is continuous and separately holomorphic there.
The mean value estimate on a segment: if is totally differentiable on the segment and on it for every , then ; this follows by applying the one-variable mean value estimate to the real coordinate functions along the segment (The chain rule for total derivatives: , The total (Fréchet) derivative as the linear first-order approximation with remainder, Directional derivatives and partial derivatives of a map ).
Holomorphy of the pullback and of differences: is holomorphic on 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 is holomorphic there (Complex phase domains, holomorphic maps on , and the complexified canonical form and bracket).
Proof
Margin bookkeeping. Fix , and . Since , implies both and . Construct the three factors sequentially using polydiscs of radius centred at their initial points. The first centre is . The first flow exists by [F2] and displaces it by at most ; the second centre is therefore within that distance of . Inductively, the second flow displaces its own initial point by at most , and the last by at most . 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 of . At each centre the polydisc has Euclidean radius , so its distance to is less than ; it lies in . The flow lemma permits each subtime because . This induction establishes existence and the intermediate bounds without using cancellation in the final displacement. Set ; the triangle inequality gives . By [F1], , so . The same strict bound holds along the straight segment , since every such point is within of . Consequently the polydisc of radius about each point of that segment, including its distinguished boundary, lies in . Composition holomorphy follows from [F2]. This proves clause 1 with the stated constants and margins.
Single-step bound. Let be holomorphic on with . For , and on the segment, [F3] applied at with the polyradius , whose distinguished boundary lies in by step 1.1, gives for every . Hence by [F4], and is holomorphic on by [F5]. This is clause 2 with , which depends only on .
Iteration. By induction on : suppose is holomorphic on with (true for ), then step 1.1 shows , so is defined and holomorphic on by clause 2, with bound .
The factor . With the constraint implies and, with the constant of step 2.1, because . This proves clause 3 with .
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 , , .
Remarks
- The loss of margin is exactly per application: applications consume of the available , and the surviving domain still contains . The choices and are conventions fixed once and for all on this page; every later item refers to them.
- The constant is not used beyond the geometric summations; optimising it is irrelevant. No choice principle is used.
The truncated binomial family , the truncated logarithm , its coefficient fields and the truncations
Definition
Let , let be analytic splitting data (Analytic splitting data with uniform holomorphic neighbourhood, and the exact symmetric splitting map ), let be the constant of The difference operator loses a controlled domain margin and is bounded by , and fix the notation , , and for of that lemma. Throughout, is an integer, , and all functions are read on the domain unless stated otherwise.
Binomial coefficients. For and define
the empty product being , and the factorial of The factorial and the falling factorial , defined by recursion in embedded in ; thus , is a polynomial in of degree with rational coefficients, agrees with the number of -element subsets of an -element set for integers (and equals when ), and
Difference operator and pullbacks. For holomorphic on put , a holomorphic function on by The difference operator loses a controlled domain margin and is bounded by ; for let be the -fold iterate, holomorphic on , with . For let be the partial -fold composite of , defined only where every intermediate composition exists (so ).
Truncated binomial family. For , holomorphic on and define
a finite sum of functions each holomorphic on : it is a holomorphic function on , and for fixed and the map is a polynomial of degree at most with values in the holomorphic functions on .
Truncated logarithm and coefficient fields. The truncated logarithm is
that is, ; it is holomorphic on . For and each coordinate function (), the function is holomorphic on and vanishes at (each is ), so the quotient has a removable singularity at and a well-defined Taylor coefficient of ; define the -th coefficient field by
the coefficient being extracted by Cauchy's formula in the one variable (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 is
a holomorphic map for every .
Remarks
- The definitions are coordinate-wise and choice-free; the coefficient extraction in is the only analytic operation, and it is justified by the one-variable holomorphy in supplied by The difference operator loses a controlled domain margin and is bounded by and Hamiltonian flows and the exact splitting map preserve the complexified canonical form and the Poisson bracket.
- The following facts are not part of the definition and are proved on this page: for integers one has on (The binomial family of the splitting pullback is multiplicative and bracket-preserving, and its logarithm is a derivation); the fields are independent of the truncation order in the sense that the coefficient of in coincides with that in on for (Bounds for the truncated logarithm: and ); each is a holomorphic vector field and a symplectic one (Each coefficient field of the modified logarithm is a holomorphic symplectic field with a global holomorphic primitive on the star-shaped domain, and ); and .
The binomial family of the splitting pullback is multiplicative and bracket-preserving, and its logarithm is a derivation
Statement
Let , let be analytic splitting data, and use all notation of The truncated binomial family , the truncated logarithm , its coefficient fields and the truncations : the domains and , the parameters , , the binomial coefficients , the difference operator , the truncated family and the truncated logarithm . Let be holomorphic on , and put . For every and finite , joint local holomorphy of and give a neighborhood of on which the first iterates are defined and stay in . Define from this local holomorphic family. Compatible flow germs make these coefficients independent of the neighborhood; coefficient extraction makes them holomorphic on . On they agree with the uniform construction at order for , where and . Whenever denotes a distance domain below, allocate it with order ; thus even for . For and define the coefficient polynomial
where , and is a polynomial of degree at most in with coefficients in the holomorphic functions on .
Then:
- Integer case. For all integers , and every , (omit the zero summands with to extend the finite sum) on the domain allocated with order .
- Multiplicativity and bracket identity. For every and every , as identities of holomorphic functions on ,
- The logarithm is a derivation. Put (the derivative in at ), so that for the formal logarithm . Then , each is a -linear local differential operator on holomorphic functions, and as functions on ; equivalently the coefficient of in and in obeys the product rule and the bracket derivation rule. Moreover for -degree agrees with the -th coefficient of the concrete holomorphic function restricted to whenever .
Moreover for : 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 , the truncated logarithm , its coefficient fields and the truncations ; holomorphic on .
Binomial algebra: the polynomial identity for holds for the single operator in the algebra of operators on functions holomorphic on the appropriate domains, because all powers of commute; for integers ; and for with value for (The truncated binomial family , the truncated logarithm , its coefficient fields and the truncations , The factorial and the falling factorial , defined by recursion in ).
Pullback calculus: , and for holomorphic , 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 , and the complexified canonical form and bracket).
Domains: for fixed truncation order and , and for ; is holomorphic on for (The difference operator loses a controlled domain margin and is bounded by ).
Holomorphic functions of : if is holomorphic for and for all such , then all Taylor coefficients at agree; and a polynomial in vanishing at 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).
Chain rule as applied on this page: the pullback of a bracket and of a product of holomorphic functions is computed by differentiating the composite map, so the complexified bracket of Complex phase domains, holomorphic maps on , and the complexified canonical form and bracket is transformed by the chain rule (The chain rule for total derivatives: , The total (Fréchet) derivative as the linear first-order approximation with remainder, Directional derivatives and partial derivatives of a map , A phase domain, its canonical one-form and its standard symplectic two-form).
Proof
Local coefficients and integer case. On any sufficiently small common neighborhood, write with holomorphic . If a holomorphic family is , then is : factor and integrate the spatial derivative of the remaining family along the short segment from to . Induction therefore gives locally. We prove for and by induction on . For , . If it holds for , then by [L1] on the relevant domains and applied to equals ; applying once more gives by [L2], while the binomial expansion over reproduces because for .
Multiplicativity and bracket identities at integer . For an integer with , both and equal on by step 1.1; likewise and both equal by step 1.1 and [L2]. At any , the same finite pullback identities hold as local germs for arbitrary fixed integers with . Comparing Taylor coefficients in of order on that neighborhood by [L4] and using that contributes only at order gives, for every and every integer (choose an integer truncation , distinct from the field bound in the splitting data),
Polynomial extension. Both sides of each identity of step 2.1 are polynomials in of degree at most (for the -coefficient, products of polynomials of degrees with ), and they agree at every integer ; hence by [L4] they agree for every . This is clause 2.
Derivative at . Differentiate the identities of clause 2 in at and use [L1]: since and for (all coefficients vanish for ), the product identity becomes , and the bracket identity becomes . By [L1] again, . Finally, because the two series differ by terms of order ; hence for the coefficients agree, and is holomorphic on by The difference operator loses a controlled domain margin and is bounded by clause 3, so its Taylor coefficients are the .
Coordinate field identification. Fix . By the integer pullback identity, each is a finite linear combination of with ; for fixed , is holomorphic in near , equals at , and differs from by . The Taylor expansion of at through total degree has a remainder , so replacing by that Taylor polynomial changes none of the coefficients for . The product derivation rule of step 4.1 gives and annihilates at every monomial of degree at least two in : split such a monomial into two factors vanishing at . Only the linear Taylor terms remain, yielding . Since was arbitrary, this is the claimed local differential-operator formula on .
Conclusion. Clause 1 is step 1.1, clause 2 is step 3.1 and clause 3 is step 4.1 together with the -linearity of -differentiation at and of the coefficient extraction.
Remarks
- The key point is that the family is a polynomial in at each -degree, so the integer- identities — which are the multiplicativity and bracket naturality of the pullback — extend to all complex ; differentiating at then produces the derivation identities used to build the modified Hamiltonian. No convergence of the full series is asserted here: only the concrete truncated functions for and their coefficients of order are used.
- All identities are on complex domains; no real-valuedness or physical interpretation is involved, and no choice principle is used.
Bounds for the truncated logarithm: and
Statement
Let , let be analytic splitting data, and use the notation of The truncated binomial family , the truncated logarithm , its coefficient fields and the truncations and The difference operator loses a controlled domain margin and is bounded by : , with , the domains , the difference operator , the truncated logarithm and the coefficient fields , . Then for every integer , every and every coordinate index :
-
for , where .
-
The function , initially defined for , extends holomorphically to the disc , and
-
For and every , and the sharper estimate obtained for by computing the -th field with truncation order , and for from ; the two bounds agree in the form . The corresponding Euclidean field bounds are these component bounds multiplied by .
-
The field is independent of the truncation order: if then the -th coefficient fields of and agree on .
Facts & Assumptions
Given: The analytic splitting data, , , , the fields and functions of The truncated binomial family , the truncated logarithm , its coefficient fields and the truncations .
Difference-operator bounds (The difference operator loses a controlled domain margin and is bounded by ): on , and for holomorphic on with , on with ; hence on .
Cauchy coefficient estimates in one variable (Cauchy's inequalities bound the Taylor coefficients by the circle supremum): if is holomorphic on and on , then the -th Taylor coefficient obeys .
Holomorphy in : each is holomorphic on (The difference operator loses a controlled domain margin and is bounded by , Hamiltonian flows and the exact splitting map preserve the complexified canonical form and the Poisson bracket, The flow of a bounded holomorphic field on a polydisc: existence in complex time, displacement bound, holomorphy, and the composition law, Calculus of holomorphic maps: chain rule, Wirtinger derivatives, coefficient extraction in one variable, and locally uniform limits clause 1), so is holomorphic on (The truncated binomial family , the truncated logarithm , its coefficient fields and the truncations ).
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 , whose lowest -degree in the -th term is , so at (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).
Taylor coefficients of versus : is a sum of terms of -degree (The truncated binomial family , the truncated logarithm , its coefficient fields and the truncations ).
Proof
Iterate bound. For , by [L1]; applying the operator bound [L1] a further times gives on . This is clause 1.
Bound for the truncated logarithm. On , using . The quantity is at by [L4], and is holomorphic for by [L3]; the bound just proved makes a removable singularity, so the extension is holomorphic on . This is clause 2.
Coefficient bound. Fix and let denote the holomorphic extension of clause 2. It is bounded by throughout the open disc . For any radius , the Taylor coefficient of order , namely (The truncated binomial family , the truncated logarithm , its coefficient fields and the truncations ), obeys by [L2], whose circle hypothesis is strict. Letting gives . Taking the maximum over gives the first estimate. The finite difference starts at degree by [L5], so coefficients through that degree minus one coincide. For we may therefore use truncation order , giving the sharper estimate. For , differentiating the three subflows at zero gives , with each coordinate bounded by .
Independence of the truncation order. If , then by [L5] the difference has no terms of -degree , hence none of degree ; dividing by and extracting the coefficient of gives the same value for both truncation orders, on the common domain . This is clause 4, and it justifies the substitution made in step 3.1.
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 , and .
Remarks
- Note the displayed first estimate of clause 3 contains a redundant form; the usable statement is , 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 and depends on , and only.
- No convergent infinite series is used: is a finite sum and the coefficients are extracted with Cauchy's formula in the single complex variable .
Each coefficient field of the modified logarithm is a holomorphic symplectic field with a global holomorphic primitive on the star-shaped domain, and
Statement
Let , let be analytic splitting data with , and let , , be the coefficient fields of The truncated binomial family , the truncated logarithm , its coefficient fields and the truncations (independent of the truncation order by Bounds for the truncated logarithm: and clause 4), with the bound of that lemma on the common retained domain . In this item denotes for every , including , whose coefficient is extracted using any order . Write in the coordinates of Complex phase domains, holomorphic maps on , and the complexified canonical form and bracket, and let be its complex Jacobian. Then for every :
- is a holomorphic vector field on : all are holomorphic on and real-valued on .
- on ; equivalently, the contraction one-form is closed there.
- There is a holomorphic with , and real-valued on , and
- ; that is, for every holomorphic on the domain of , .
Facts & Assumptions
Given: The analytic splitting data; the fields with components ; the bounds on (Bounds for the truncated logarithm: and ); the matrix and the form (Complex phase domains, holomorphic maps on , and the complexified canonical form and bracket, A phase domain, its canonical one-form and its standard symplectic two-form).
Coordinate bracket matrix formula: for holomorphic , , and the bracket is -bilinear and antisymmetric with constant (Calculus of holomorphic maps: chain rule, Wirtinger derivatives, coefficient extraction in one variable, and locally uniform limits clause 2, Complex phase domains, holomorphic maps on , and the complexified canonical form and bracket, Rectangular matrix multiplication and the identity matrix , including zero-sized shapes).
Derivation of the bracket: for the coefficient operators of the logarithm, for holomorphic , and acts on as (The binomial family of the splitting pullback is multiplicative and bracket-preserving, and its logarithm is a derivation clause 3, The truncated binomial family , the truncated logarithm , its coefficient fields and the truncations ).
Realness of the extensions and their flows. By the distance-domain estimate in Complex phase domains, holomorphic maps on , and the complexified canonical form and bracket, is star-shaped about . Fix ; the set of real for which has a connected open interval containing . The function is real analytic on that interval, since it is the restriction of a holomorphic function to a complex line. For in a neighborhood of , because and is open, so as and is real-valued. To justify continuation, let be the set of points where vanishes on a neighborhood. It is nonempty and open; if converges to an interior point , every derivative is zero, so continuity of all derivatives gives for every , and the real-analytic Taylor expansion at makes zero near . Thus is also closed in the interval and equals the whole interval. This proves ; the identical argument applies to . The restrictions of these extensions to the open real domain are real-valued, so their real-coordinate partial derivatives are real; holomorphic differentiability identifies those derivatives with the complex coordinate derivatives. Hence and are real on the real locus.
For either field or , 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 remain real when is real: the initial iterate is real, and each next iterate is , an integral of real vectors by induction. Their limit is real because is closed in . 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 therefore preserve real points for real , as do all defined iterates .
Closed one-forms on star-shaped real domains have potentials, with the explicit radial potential for centre (Poincare's lemma on a star-shaped domain: every closed C1 field is exact, Star-shaped open subsets of Euclidean space); the complex domain is open and star-shaped about (Complex phase domains, holomorphic maps on , and the complexified canonical form and bracket), and the real and imaginary parts of a closed complex one-form with coefficients are closed real one-forms.
Holomorphy criterion: a complex-valued function on an open subset of viewed as a real domain with for all is holomorphic, since then is -linear; and the zero-normalized radial primitive is real-valued on the real part of its star-shaped domain whenever is real on real points and real tangent vectors, because its integrand is then real (Complex phase domains, holomorphic maps on , 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 , The total (Fréchet) derivative as the linear first-order approximation with remainder).
Proof
Holomorphy and realness of the components. By The truncated binomial family , the truncated logarithm , its coefficient fields and the truncations , is a coefficient in of the holomorphic function (for any ), so it is holomorphic in 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 and real , is real by [L3], so each , hence , is real-valued there, and its Taylor coefficient in the real variable at is real; this gives the realness assertion.
Closedness. Fix and apply the bracket derivation rule [L2] to the constant bracket : Writing and using [L1], -component of the field, and , so, using and for , the identity reads for all , that is . Equivalently, write , so that and ; then , and comparing block entries shows that is precisely the symmetry of the Jacobian , i.e. the closedness .
The first coefficient. Since and , the coefficient of in is ; here the derivative of at is : differentiating at and using and gives . Hence , which is clause 4.
Primitive. Let and be the real and imaginary parts of , viewed as real one-forms on the open star-shaped set ; both are closed because . By [L4] there are potentials with , ; subtracting constants we may assume . Set . Then , and because is a -form; hence is holomorphic by [L5]. At real points and for real tangent vectors , is real by the realness of the coefficients from step 1.1, so vanishes on real directions at real points; the real part of is star-shaped and connected, so there and is real-valued on . The gradient bound follows from and , and by the radial form of the potential and the norm inequality.
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 (and hence of and every ) is used exactly here: it produces global holomorphic primitives on the working domain. On a domain with nonvanishing first de Rham cohomology the closed form would only be locally exact, and this is the step the design records as requiring the star-shaped hypothesis.
- The primitive is unique up to an additive constant on the connected domain ; the normalization fixes it. The modified Hamiltonian of Optimal finite truncation gives an exponential local splitting defect is built from these normalized primitives.
Symmetry of the splitting map forces for every even , so the first possible modified-energy correction is of order
Statement
Let , let be analytic splitting data (Analytic splitting data with uniform holomorphic neighbourhood, and the exact symmetric splitting map ), and use the notation of The truncated binomial family , the truncated logarithm , its coefficient fields and the truncations and Each coefficient field of the modified logarithm is a holomorphic symplectic field with a global holomorphic primitive on the star-shaped domain, and : the coefficient fields (, with acting on holomorphic functions as the coefficient operator , and in the notation of that lemma) and the normalized primitives with , , on the domains .
- Reversibility. For the local flow germs at , and their mutually reverse continuation branches wherever defined, .
- Parity. for every even .
- Modified energy. Consequently . For define the finite complex modified Hamiltonian on by Then on , so the first possible correction is of order . For real , on the real part of , restricts to the corresponding real function with baseline .
Facts & Assumptions
Given: The analytic splitting data and the objects named in the Statement; for every holomorphic on the two families read as formal power series in whose -degree- coefficients are finite sums (because ); the concrete truncations , of The truncated binomial family , the truncated logarithm , its coefficient fields and the truncations agree with them through order .
Inverse and composition laws: , and where the inverses exist (The flow of a bounded holomorphic field on a polydisc: existence in complex time, displacement bound, holomorphy, and the composition law clause 3, Calculus of holomorphic maps: chain rule, Wirtinger derivatives, coefficient extraction in one variable, and locally uniform limits).
Integer case: for every integer , as formal series in (the sum is finite at each -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 ). Consequently is well defined for all and all holomorphic on .
Formal identities in one element. Let be an element of the ring of formal series in with operator coefficients, with . Define and , both well defined coefficient-wise because and . Then: (i) and , because all powers of commute and the identity holds in the commutative -algebra ; (ii) , because both sides are universal rational-coefficient expressions in the single element and the identity holds in the commutative ring (differentiate and use coefficient-wise); (iii) hence is injective on : if then .
Formal binomial group law. For , the falling-factorial recurrence gives and . Comparing coefficients determines the series uniquely. Thus satisfies the same equation as and the same constant term, so . Differentiate in at zero: , by the derivative formula for at zero. Substituting the single operator makes all sums finite at any fixed -degree and gives , with (The factorial and the falling factorial , defined by recursion in , The binomial family of the splitting pullback is multiplicative and bracket-preserving, and its logarithm is a derivation).
Uniqueness of formal solutions: if and are families whose -degree- coefficients are polynomials in with , and , then : comparing coefficients of determines each coefficient recursively from the preceding one, since acts coefficient-wise in .
Primitives and domains (Each coefficient field of the modified logarithm is a holomorphic symplectic field with a global holomorphic primitive on the star-shaped domain, and ): , , connected with ; and as operators on holomorphic functions, with the bounds of Bounds for the truncated logarithm: and .
Proof
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 in their common domain, by [L1]. This is clause 1.
The exponential of the logarithm. By [L4] the family solves the formal initial value problem of [L5] with initial value ; the family -exponential solves the same problem, because by commutation of with . By [L5], as formal series in ; taking and using [L2] with ,
Parity of the logarithm. Fix an integer . By clause 1 and [L2], ; by step 1.2 applied to the data at step this equals . The same expression, read with the data at step , equals by [L3]. Hence as formal series in , for every integer . At fixed -degree both sides are polynomials in (all defining operations are polynomial at each degree), so the equality at all extends to all complex ; taking gives for every holomorphic on , and injectivity of from [L3] gives
Vanishing of the even coefficients. Write (so ). Then and ; comparing -degree- coefficients in the identity of step 2.1 gives , hence for even . Since acts as by [L6], for every even . This is clause 2.
Modified energy. For , gives , so ; since is connected and , by [L6]. The definition of in clause 3 therefore gives on , and, for real , its restriction to the real part of is real-valued: the baseline and each normalized primitive are real there by the primitive supplier. On the baseline is . No nonzero is asserted; for example, an exact one-part splitting can have every correction zero. This is clause 3.
Remarks
- The whole argument is formal in the step variable: only finitely many terms contribute to each -degree, and no convergence of the infinite logarithmic series is used. The concrete truncated functions of The truncated binomial family , the truncated logarithm , its coefficient fields and the truncations have coefficients agreeing with through order , by Bounds for the truncated logarithm: and clause 4.
- Parity is a property of the symmetric Strang-type splitting: it uses and fails for the asymmetric first-order splittings . No such claim is made for them.
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 , put , , , , and . Here and is the inverse of the real exponential on (The real exponential function and the number by a power series, The natural logarithm as the inverse of the exponential function); positivity of follows from strict increase of (The exponential function is strictly increasing). For , set and
using the normalized primitives of Each coefficient field of the modified logarithm is a holomorphic symplectic field with a global holomorphic primitive on the star-shaped domain, and . The time- flow exists for initial data in , for sufficiently small depending only on the displayed data. There is , independent of , such that
The same result holds for the splitting with interchanged. The series defining is finite.
Facts & Assumptions
Given: The stated splitting data, constants and normalized coefficients, with the distance domains.
Bounds for the truncated logarithm: and gives the component bounds on for , with .
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 for every even , so the first possible modified-energy correction is of order proves coefficient-wise. The primitive lemma identifies .
The flow of a bounded holomorphic field on a polydisc: existence in complex time, displacement bound, holomorphy, and the composition law and its Picard proof supply joint holomorphy and displacement of bounded fields on smaller domains; Iterated Cauchy formula, power-series expansion and Cauchy estimates for functions continuous and separately holomorphic on a polydisc supplies coefficient and geometric-tail bounds.
Proof
Uniform field and flow radius. Fix and let be a complex parameter with . By [F1], summing a geometric series gives on . At each the polydisc of radius lies in . The flow radius is at least since and . Picard iteration is also holomorphic in (each iterate is a holomorphic parameter integral and the contraction is uniform); hence the time- map of the field is holomorphic in for . Its displacement is at most . The splitting displacement is at most . All estimates hold uniformly on the initial-data domain.
Finite coefficient matching. In degree at most , agrees with as operators by [F2]. Terms in the exponential of order above cannot change these degrees because both operators start in degree one. The time- pullback of a fixed field has Taylor coefficients : differentiating repeatedly in gives and the holomorphic Taylor expansion supplies the coefficients. Therefore the two analytic coordinate maps agree through degree . This argument uses finite jets and makes no assertion that the infinite formal logarithm converges.
Cauchy tail. For each coordinate the difference of the two maps divided by extends holomorphically at zero, has its first coefficients zero, and is bounded by on . Cauchy estimates on smaller circles, followed by taking their radii to , give for . The actual map difference is ; multiplying its coordinate bound by gives the Euclidean bound.
Optimal integer choice. For , by [F4]. Also when . The logarithm definition and the exponential addition law give ; therefore implies by monotonicity of . Thus . The denominator in step 3.1 is at least , yielding the asserted defect. Interchanging leaves all bounds and formal arguments unchanged.
The optimal modified Hamiltonian differs from the original by order two
Statement
Use the splitting data, constants and of Optimal finite truncation gives an exponential local splitting defect. There are constants , independent of , such that on
In particular is real analytic on the real part. Its additive normalization is , so the comparison includes constants.
Facts & Assumptions
Given: The stated data and normalized finite sum.
Bounds for the truncated logarithm: and gives for on the common inner domain; Each coefficient field of the modified logarithm is a holomorphic symplectic field with a global holomorphic primitive on the star-shaped domain, and gives and .
Symmetry of the splitting map forces for every even , so the first possible modified-energy correction is of order gives , and realness and holomorphy of all primitives are proved in the primitive lemma.
Proof
Summable correction. Put and for . Direct division gives . For , , so this ratio is at most . Therefore , with the empty sum understood as zero.
Hamiltonian comparison. The bounded set has , since is bounded. By [F1], [F2] and step 1.1, , and the same bound without controls . As and is an isometry, . The gradient is therefore bounded independently of after fixing . Reality, analyticity and normalization follow term by term in the finite sum.
Analytic Verlet retains order-two energy accuracy on exponential times
Statement
For analytic splitting data, let be sufficiently small as in Optimal finite truncation gives an exponential local splitting defect, and let for . Here and denotes (The real exponential function and the number by a power series). There are constants , independent of , such that
Here is the finite optimally truncated Hamiltonian with on a neighbourhood of . For kinetic-plus-potential data, choose the analytic labels , to obtain the velocity-Verlet map ; 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.
Optimal finite truncation gives an exponential local splitting defect gives a time- modified flow with state defect at most and uniformly bounded displacement on .
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.
Uniform mechanical-stage admissibility. The datum supplies and on . 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 times its elapsed time. The real drift/kick identification under full segment containment is The drift, kick and velocity-Verlet maps are canonical: and .
For , the power series defining has nonnegative terms and includes , hence (The real exponential function and the number by a power series).
Proof
Mechanical identification with a uniform smaller step. Decrease the existing positive , independently of , so that and . Starting at any , construct the three subflows successively using polydiscs of radius at their initial points. By [F3] their accumulated displacement, including every partial subflow time, is at most . These polydiscs lie in , as in the distance-domain construction of the flow supplier, after further decreasing to ensure . For real mechanical initial data each subflow is real: on the real neighbourhood inside its vector field is real, and uniqueness makes its local solution equal to its complex conjugate. If this real continuation reached the boundary of before a factor ended, the accumulated displacement bound would put that boundary point within of the starting point in , contradicting the definition of . Local uniqueness therefore continues the real solution through every factor inside . 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 in the potential-first order, and equals the position-Verlet variant in the other order, uniformly for every starting point in . Retention of step endpoints in lets this same argument apply at every step. All original energy estimates remain valid after decreasing .
Modified conservation and local comparison. Along the modified flow, differentiation gives by skew symmetry. For , the splitting displacement is at most by [F3], and the modified-flow displacement is at most by [F2], since is an isometry and integration of bounds displacement by the supremum of times elapsed time. Put and decrease so that . Every point of the segment joining the two endpoints is then within of , hence in . Integrating the bounded gradient along this segment and using [F1] gives .
Telescoping and original energy. Summing step 1.2 over the finite steps gives . By [F2], . If , the last term is at most . Applying [F4] to gives . Enlarging proves the asserted order-two estimate for both splitting orders.
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 satisfy , for , with small enough that all comparison segments lie in . Then
In particular the state-error contribution is for . 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.
The exponential local state defect and bounded gradient follow from Optimal finite truncation gives an exponential local splitting defect and The optimal modified Hamiltonian differs from the original by order two; the modified flow conserves as proved in Analytic Verlet retains order-two energy accuracy on exponential times.
Proof
Per-step estimate. Compare first with and then with the modified-flow endpoint. Integrating the gradient along the two stated segments gives , using conservation at the modified endpoint.
Sum and compare. Summation gives . Adding the two endpoint bounds proves the displayed result, including and .
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: and , The velocity-Verlet step matches the exact flow through order two: local truncation error on a convex tube and Finite-time global error of the velocity-Verlet method: are mathematical statements about the deterministic maps , and of The splitting Hamiltonian , 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 on a convex tube, the step obeys , and both the exact orbit and the numerical iterates remain in the compact set for the whole interval . 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: treats rounding only through explicit hypotheses. On a metric state set , fix , and . The exact map must satisfy for every . The exact iterates and computed states must start at the common initial state , with at each computed step. Under these conditions, for (or for ). 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 must be established separately: the exact-field derivative constant in Finite-time global error of the velocity-Verlet method: 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 for analytic data, the stated sufficiently small fixed positive real step, and computed points with residual , provided both straight comparison segments and lie in the controlled neighbourhood . Here is the finite modified Hamiltonian and its time- 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 under ; (ii) uniform-in-time boundedness of the energy error beyond finite ; (iii) existence of a convergent modified Hamiltonian series for ; (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 , and belongs to the consuming classical-mechanics pages, which add their own postulates and empirical qualifications.
5 · Examples, experiments and counterexamples
None yet.
Sources
- E. Hairer, Geometric Numerical Integration (TU Munchen 2010), Lecture 3 'Backward error analysis', Section 3: accumulation of per-step perturbations with a Lipschitz constant, the summation argument for long-time energy estimates, printed pages 6-7
- A. Quillen, PHY411 Lecture notes Part 7 'Integrators' (University of Rochester), Section 1.1: accumulation of per-step errors versus local truncation errors for one-step methods, printed pages 2-5
- J. Lebl, Tasty Bits of Several Complex Variables, Chapter 1, Section 1.1 (holomorphic functions in several variables) and Section 1.2 (polydiscs and power series), printed pages 13-27
- E. Hairer, Geometric Numerical Integration (TU Munchen 2010), Lecture 2 'Symplectic integrators', Sections 1 and 5: the Stormer-Verlet scheme and its interpretation as the Strang splitting of the kinetic and potential flows, printed pages 1-3 and 12-13
- A. Quillen, PHY411 Lecture notes Part 7 'Integrators' (University of Rochester), Sections 2.3 and 2.5: drift and kick evolution operators and the Stormer-Verlet method, printed pages 18-20 and 23-24
- J. Lebl, Tasty Bits of Several Complex Variables, Chapter 1, Theorem 1.2.1 and the Cauchy estimates following Proposition 1.2.2, printed pages 18-23
- E. Hairer, Geometric Numerical Integration (TU Munchen 2010), Lecture 2 'Symplectic integrators', Theorem 2 and Section 5: the Stormer-Verlet method is of order 2 and is the Strang splitting of the kinetic and potential flows, printed pages 1-3 and 12-13
- A. Quillen, PHY411 Lecture notes Part 7 'Integrators' (University of Rochester), Sections 1.1-1.2 and 2.5: Taylor comparison of one-step methods with the exact flow and the second-order Stormer-Verlet update, printed pages 2-7 and 23-24
- J. Lebl, Tasty Bits of Several Complex Variables, Chapter 1, Sections 1.1-1.3 (holomorphic maps, power series, derivatives), printed pages 13-31
- E. Hairer, Geometric Numerical Integration (TU Munchen 2010), Lecture 2 'Symplectic integrators', Theorem 2 and its proof: the Stormer-Verlet scheme is symplectic of order 2, being a composition of symplectic Euler maps, printed pages 1-3
- A. Quillen, PHY411 Lecture notes Part 7 'Integrators' (University of Rochester), Sections 2.3-2.5: kinetic (drift) and potential (kick) evolution operators and the area-preserving Verlet map, printed pages 18-24
- E. Hairer, Geometric Numerical Integration (TU Munchen 2010), Lecture 3 'Backward error analysis', Sections 1-3: the modified differential equation of a splitting method, the modified Hamiltonian for symplectic methods and the star-shaped global existence remark, printed pages 1-7
- J. Lebl, Tasty Bits of Several Complex Variables, Chapter 1, Sections 1.1-1.2: holomorphic maps, polydiscs and separate holomorphy on complex domains, printed pages 13-27
- E. Hairer, Geometric Numerical Integration (TU Munchen 2010), Lecture 2 'Symplectic integrators', Sections 1-2 and 4: order of a one-step method and composition of consistent methods, printed pages 1-9
- A. Quillen, PHY411 Lecture notes Part 7 'Integrators' (University of Rochester), Sections 1.1-1.2: local versus global error accumulation for one-step methods, printed pages 2-7
- J. Lebl, Tasty Bits of Several Complex Variables, Chapter 1, Sections 1.1-1.3: holomorphic functions, power series and continuous dependence on data, printed pages 13-31
- E. Hairer, Geometric Numerical Integration (TU Munchen 2010), Lecture 3 'Backward error analysis', Section 1: Taylor expansion of the flow of a modified vector field and the formal expansion of a one-step method, printed pages 1-3
- E. Hairer, Geometric Numerical Integration (TU Munchen 2010), Lecture 3 'Backward error analysis', Section 2: symplectic methods have a locally Hamiltonian modified equation; the matrix identity J f'(y) symmetric, printed pages 5-6
- E. Hairer, Geometric Numerical Integration (TU Munchen 2010), Lecture 2 'Symplectic integrators', Section 1 and Theorem 2: the exact flow of a Hamiltonian system is symplectic and symplecticity is closed under composition, printed pages 1-3
- E. Hairer, Geometric Numerical Integration (TU Munchen 2010), Lecture 3 'Backward error analysis', Section 1: the difference operator and the modified equation of a one-step method, printed pages 1-3
- J. Lebl, Tasty Bits of Several Complex Variables, Chapter 1, Section 1.2: Cauchy estimates on polydiscs and the mean value bound for holomorphic functions, printed pages 18-23
- E. Hairer, Geometric Numerical Integration (TU Munchen 2010), Lecture 3 'Backward error analysis', Section 1: the formal modified equation as the logarithm of the one-step map, printed pages 1-3
- J. Lebl, Tasty Bits of Several Complex Variables, Chapter 1, Section 1.2: power series and coefficient extraction in one variable, printed pages 18-23
- E. Hairer, Geometric Numerical Integration (TU Munchen 2010), Lecture 3 'Backward error analysis', Section 1: the logarithm of a one-step method as a formal series in the step size, printed pages 1-3
- J. Lebl, Tasty Bits of Several Complex Variables, Chapter 1, Section 1.2: coefficient extraction and polynomial identities for power series in one variable, printed pages 18-23
- E. Hairer, Geometric Numerical Integration (TU Munchen 2010), Lecture 3 'Backward error analysis', Sections 1-2: the geometric bound on the coefficients of the logarithm of the numerical map, printed pages 1-6
- J. Lebl, Tasty Bits of Several Complex Variables, Chapter 1, Section 1.2: Cauchy estimates for Taylor coefficients, printed pages 18-23
- E. Hairer, Geometric Numerical Integration (TU Munchen 2010), Lecture 3 'Backward error analysis', Section 2: existence of a local modified Hamiltonian for symplectic methods and its global existence on star-shaped domains, printed pages 5-6
- E. Hairer, Geometric Numerical Integration (TU Munchen 2010), Lecture 1 'Hamiltonian systems', Section 3: symplectic transformations and the closedness of the contracted form, printed pages 5-7
- E. Hairer, Geometric Numerical Integration (TU Munchen 2010), Lecture 3 'Backward error analysis', Sections 2-3: for symmetric methods the modified equation contains only even powers of the step size, printed pages 5-7
- E. Hairer, Geometric Numerical Integration (TU Munchen 2010), Lecture 2 'Symplectic integrators', Theorem 7 and Section 4: adjoint methods, symmetric methods and even order, printed pages 7-12
- Hairer, Geometric Numerical Integration, Lecture 3: backward error analysis, Sections 1–3 and 5; local analytic estimates supplied here
- E. Hairer, Geometric Numerical Integration (TU Munchen 2010), Lecture 2 'Symplectic integrators', Sections 1-5: symplecticity, symmetry and order of the Stormer-Verlet scheme, printed pages 1-14
- E. Hairer, Geometric Numerical Integration (TU Munchen 2010), Lecture 3 'Backward error analysis', Sections 1-4: the modified equation, its formal divergence, and the separation of exact-arithmetic analysis from numerical observation, printed pages 1-12