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Geometric numerical integration
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Banach-Space Differential Calculus and Banach Manifolds
- Binary Operations, Monoids, Groups and Subgroups
- Bounded Linear Operators and Quotient Spaces
- Codimension One Foliations, Secondary Classes and Characteristic Disk Foundations
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Complex Norms and Realification
- Complexification, Realification and Real Structures
- Connectedness
- Construction of the Natural Numbers
- Construction of the Real Numbers via Cauchy Sequences
- Construction of the Real Numbers via Dedekind Cuts
- Continuity, IVT, EVT, and Uniform Continuity
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Darboux, L'Hôpital, and Taylor's Theorem
- Determinants of Matrices over a Commutative Ring
- Direct Matrix Factorisations: LU, Cholesky and QR
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Foundations of the Real Numbers for Analysis
- Group Actions, Orbits, Stabilisers and Cayley's Theorem
- Hamiltonian Mechanics and Completely Integrable Systems
- Hamiltonian Monte Carlo and leapfrog correction
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Limits of Real Functions
- limsup, liminf, and Subsequential Limits
- Linear Independence, Bases and Dimension
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Matrices, the Matrix of a Linear Map, and Change of Basis
- 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
- Order, Zorn's Lemma, and the Axiom of Choice
- 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
- Relations, Functions, and Quotients
- Rings, Subrings, Integral Domains and Fields
- Rⁿ as a Normed Space; Vector-Valued Functions
- Roots, Rational Powers, and Classical Inequalities
- 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
- Strongly Continuous Semigroups and Hille Yosida
- Subspaces, Products, and Quotients
- Suprema and Infima
- Symmetric Groups, Cycle Decomposition and the Sign Homomorphism
- Symplectic Manifolds, Moser Stability, and Darboux–Weinstein Theory
- The Derivative and the Mean Value Theorems
- The Determinant of a Linear Operator, Cofactors and Cramer's Rule
- The Exponential Function
- The Inverse and Implicit Function Theorems
- The Inverse Function Theorem Completed
- The Riemann Integral: Definition and Integrability
- The Total Derivative in ℝᵐ → ℝⁿ
- The ZFC Axioms and the Basic Set Constructions
- Topological Spaces and Continuity
- Topology of ℝ
- Vector Spaces, Linear Subspaces, Span and Direct Sums
2 · Summary
Summary
This page extends the published global leapfrog maps by stating their local admitted domain when a potential is defined on a proper open configuration set. It fixes kick-then-drift ordering for local symplectic Euler, proves the discrete Jacobian pullback identities directly, and derives first-order symplectic-Euler and second-order leapfrog errors on a controlled compact tube. The implicit midpoint method is defined through its actual one-stage equation, with a selected contraction branch, explicit non-success statuses, symplectic pullback, and finite-time second-order error.
For each fixed finite truncation order, the page constructs a globally defined modified Hamiltonian on a star-shaped phase domain, proves the local map-to-flow remainder and the one-step modified-energy defect, then sums that defect only while the numerical path and comparison segments stay in the declared compact tube. The formal series need not converge. The original Hamiltonian need not be an exact invariant of the discrete map. The published HMC leapfrog result continues to supply its own global reversibility and volume claims under their stated hypotheses; this page does not reprove them.
The companion examples give explicit harmonic-oscillator calculations and separate A-stability from symplecticity.
3 · Logical flowchart
4 · Definitions, theorems and proofs
Local domain restriction for kick, drift, and leapfrog maps
Definition
Let be open, let , and let be a real symmetric positive-definite matrix. Use the force-kick and drift already defined in One-step leapfrog map as force and drift shears, with there replaced by . The local kick is the restriction of to . The local drift is the restriction of to
For a signed step , the local leapfrog map is the restriction of to the states for which all three intermediate configurations lie in . Its output is defined only on that admitted set. This definition changes the configuration domain of the published map; it does not redefine the global leapfrog map or assert that the local map is complete.
A smooth local Hamiltonian flow preserves the canonical symplectic matrix
Statement
Let be open, , and use the canonical symplectic form with matrix . Define by . Let be the local flow on any open set where it is defined. At each initial state and time for which the intervening trajectory lies in , its derivative satisfies This is a local, choice-free variational proof; no completeness is asserted.
Facts & Assumptions
Given: The open set, smooth Hamiltonian, canonical matrix, and local Hamiltonian flow.
The library convention is . In these coordinates, if then ; equating this with gives . Hamiltonian vector field and Hamiltonian function
The local flow is in its initial state and its derivative solves , . C¹ Euclidean maximal flows, variational dependence and the finite C² upgrade
The Hessian of a smooth scalar function is symmetric. Continuous mixed partials of order are invariant under permutations
Proof
In canonical coordinates [F1] gives , hence . By [F3] the Hessian is symmetric, and , ; therefore .
Set . By [F2], and . The product rule gives by step 1.1. Thus throughout the local time interval.
Local kick-then-drift symplectic Euler step
Definition
Input an admitted state , step , , and symmetric positive-definite . First set . Then set . If , return domain-failure; otherwise return . This fixes the kick-then-drift ordering. The returned map is the partial composition in the notation of Local domain restriction for kick, drift, and leapfrog maps.
For exact mathematical statements the displayed operations are evaluated exactly. A finite implementation that cannot certify the state and force evaluation returns inconclusive; it does not report a step outside as successful.
Local implicit midpoint step for a Hamiltonian vector field
Definition
Let , let be open, and let . Write in canonical coordinates, set , and use the Euclidean norm and its induced operator norm. Define the finite-regularity coordinate field
Given and a signed step , supply a candidate radius . If no radius is supplied or , return branch-not-certified. If the closed ball is certified not to lie in , return domain-failure; if its containment in cannot be certified, return branch-not-certified. For a ball contained in , supply certified bounds with
If either bound or its certificate is unavailable, or if either admissibility inequality or fails, return branch-not-certified. Otherwise the exact local implicit midpoint step selects the unique satisfying
and returns . The returned state is in ; a further step is admitted only when that state lies in and passes a new ball check.
For a finite iteration implementation of an admitted branch, input an output tolerance and an update budget . Use and proceed as follows.
- Set . If , return
inconclusivewith current stage iterate , approximate output , and output-error bound . - If , compute and set .
- For , set and the output radius . If , return the approximation with output-error certificate . Otherwise, if , compute and continue. If the check fails at , return
inconclusivewith current stage iterate , approximate output , and output-error bound .
When , use for ; the procedure never evaluates . If a finite implementation cannot certify an input or an exact operation needed for these instructions, return inconclusive without a tolerance claim. The certificates concern the displayed exact recurrence and exact output operations; inexact evaluations require additional certified error accounting. An approximate result is not asserted to be exactly symplectic. The exact map is the selected branch value .
Canonical kick and drift shears satisfy the symplectic Jacobian identity
Statement
Let be open, , and be symmetric positive definite. Put . At every point of their open domains, the local kick and drift from Local domain restriction for kick, drift, and leapfrog maps are and their Jacobians satisfy . Here this matrix identity is the finite-regularity meaning of symplecticity; no smooth-manifold definition is being applied to a map of insufficient regularity.
Facts & Assumptions
Given: , the local restrictions of the kick and drift from Local domain restriction for kick, drift, and leapfrog maps, and the canonical matrix .
The published force-kick and drift are and . One-step leapfrog map as force and drift shears
The local domain restriction leaves these formulas unchanged wherever the operation is admitted. Local domain restriction for kick, drift, and leapfrog maps
Positive definiteness makes injective, hence invertible in finite dimension; since , . The Hessian of a scalar function is symmetric. Continuous mixed partials of order are invariant under permutations
Proof
At an admitted point, differentiation of [F1] gives Writing , block multiplication gives
Differentiation of the drift gives Writing , multiplication yields
Thus each admitted shear satisfies the claimed identity at every point of its open domain.
Local leapfrog and kick-then-drift symplectic Euler are symplectic
Statement
Under the hypotheses of Canonical kick and drift shears satisfy the symplectic Jacobian identity, every admitted local leapfrog step and every admitted kick-then-drift symplectic Euler step is a map with continuous Jacobian satisfying on its open admitted domain. The result concerns symplecticity, not energy conservation.
Facts & Assumptions
Given: , symmetric positive-definite , the local partial maps and their admitted domains.
The local kick, drift, and leapfrog composition have the domains and compositions stated in the local-domain definition. Local domain restriction for kick, drift, and leapfrog maps
The symplectic Euler step is the partial composition . Local kick-then-drift symplectic Euler step
Each admitted kick and drift Jacobian satisfies . Canonical kick and drift shears satisfy the symplectic Jacobian identity
At each admitted point , the chain rule gives , with the outer derivative evaluated at the intermediate point . The chain rule for total derivatives:
Proof
By [F1] and [F2], each step under discussion is a finite composition of admitted local kicks and drifts. The intermediate points lie in by the admitted-domain conditions, so every derivative in the composition is defined.
If and satisfy and , then . Applying this identity successively to [F3], with [F4] identifying the Jacobian of each composition, proves the result for both step maps.
Local and finite-time trajectory error for symplectic Euler and leapfrog
Statement
Let , be open, , and symmetric positive definite. Set and . Fix and with . Suppose the exact solution, numerical states, all kick/drift intermediate states, and every line segment used below lie in one compact convex tube , with the derivatives of through order two bounded there. For in that tube, write for the error of iterated kick-then-drift symplectic Euler and for the error of iterated local leapfrog relative to the exact solution at . Write and for their admitted one-step maps and for the exact flow. For sufficiently small , constants independent of satisfy for admitted , and whenever , Thus symplectic Euler has global order one and leapfrog has global order two on the stated controlled tube. No unconditional domain-admissibility claim is made.
Facts & Assumptions
Given: , SPD , an exact Hamiltonian solution and numerical trajectories contained in the stated compact convex tube, with all method stages admitted.
The local map is the partial kick/drift composition; symplectic Euler uses kick then drift, while leapfrog uses half-kick, full drift, half-kick. Local domain restriction for kick, drift, and leapfrog maps, Local kick-then-drift symplectic Euler step
Since is symmetric positive definite, forces , so is invertible and . Differentiating therefore gives and the coordinate field .
The exact local flow and its variational derivative exist on admitted compact trajectory segments. C¹ Euclidean maximal flows, variational dependence and the finite C² upgrade
Total derivatives obey the chain rule. The chain rule for total derivatives:
Apply the scalar Taylor theorem coordinatewise on the compact convex tube; finitely many coordinate remainder bounds combine into a Euclidean bound. The same argument applies to the entries of . Multivariable Taylor formula with a Lagrange remainder along a line segment
The Euclidean norm on induces , and is complete; hence this normed space is Banach. A continuous differentiable curve in it with derivative norm bounded by changes by at most times the interval length. Banach space, A norm on a real vector space, the induced metric, and the dictionary with the metric axioms, Each is a norm on , and the induced metrics are exactly , and of the published metric-spaces page, and for with the Euclidean metric are complete, componentwise from the Cauchy criterion in , Mean value inequality for a differentiable Banach-valued curve
Proof
By [F1]–[F3], the exact solution satisfies and . Since is bounded on , [F4] gives uniformly
The kick derivative is with and the drift derivative is with . Their sum is . For kick-then-drift, the derivative product is . For leapfrog it is ; since and is bounded, [F4] applied to each Hessian entry gives . The remainders are uniform on , so for a fixed and small . The vector-valued mean-value inequality [F5] on the stipulated convex segments gives the same one-step Lipschitz bound for pairs of compared states.
Kick-then-drift Euler gives and . Thus and . Comparing with the two coordinate components of step 1.1 gives a uniform one-step defect at most .
For leapfrog, the intermediate momentum is and the new position is . Taylor expansion of , using bounded third derivatives of , gives These are exactly the terms through degree two in step 1.1, so the leapfrog one-step defect is at most .
For either method, if its local defect is , steps 1.2, 2.1, and 2.2 give . Iterating this inequality and using and yields .
Substitution of for symplectic Euler and for leapfrog in step 3.1 gives the two stated bounds.
The admitted implicit midpoint branch is symplectic and second order
Statement
Let , be open, , , and . Use the Euclidean norm and its induced operator norm, and define . For a signed step , suppose a declared closed ball , with , has certified bounds and satisfying and . The exact implicit midpoint branch Local implicit midpoint step for a Hamiltonian vector field then has a unique stage root in this ball. The exact iterates , stay in the ball, converge to , and for every satisfy Here , including when ; if , the first update equals and for . Also , which supplies an output-error bound when no update is computed.
For every finite tolerance and budget , the implementation in Local implicit midpoint step for a Hamiltonian vector field terminates after at most updates and at most evaluations of ; each reported error radius is a valid bound.
Assume additionally and that these ball hypotheses hold uniformly for initial values in a compact convex tube for all , with some and common , where . At every admitted initial value the selected branch is locally the restriction of a solution branch, and its exact local map satisfies .
Fix . Under these additional and uniform branch hypotheses, assume also that the exact and numerical trajectories, the branch balls, and the segments used in comparison lie in a compact convex subset of whenever , with and its first two derivatives bounded there. For an initial value in the tube, define for and for (so ). Then for constants independent of , every in the tube, and every with , Here is the exact Hamiltonian flow. These symplecticity and trajectory-error conclusions concern the exact selected map; no such conclusion is asserted here for a finite iteration output.
Facts & Assumptions
Given: For the contraction and iteration estimates, the stated Hamiltonian, admitted closed ball, bounds, and signed-step inequalities. For the symplecticity and trajectory-error claims, assume additionally the stated regularity, uniform branch hypotheses, and controlled finite-time tube.
The field and selected branch obey the domain, closed-ball, bound, and step-size conditions in the Statement. Local implicit midpoint step for a Hamiltonian vector field
On a complete metric space, a contraction has a unique fixed point and its iterates converge with tail bound . A contraction of a nonempty complete metric space into itself has exactly one fixed point, the limit of the iterates from any starting point
A finite-dimensional equation with invertible derivative in the unknown has a locally unique solution branch with the implicit derivative formula. The Euclidean implicit function theorem with derivative formula
For a vector field, the local flow is in the initial state and its derivative solves the variational equation; a field gives the needed finite flow regularity. C¹ Euclidean maximal flows, variational dependence and the finite C² upgrade
The cited Taylor theorem is scalar. A compact convex tube has an open convex neighborhood contained in , so the theorem can be applied separately to each scalar coordinate function on the stipulated segments, each entry of , and each scalar coordinate of a trajectory on its local time interval. Intermediate points may depend on the coordinate. If the coordinate remainders satisfy , their vector satisfies . Multivariable Taylor formula with a Lagrange remainder along a line segment
Under the additional hypotheses, differentiating the explicit coordinate field in the Statement gives , and the Hessian is symmetric. Continuous mixed partials of order are invariant under permutations
Derivatives of compositions and products obey the total-derivative chain rule. The chain rule for total derivatives:
The Euclidean norm on induces , and is complete; hence this normed space is Banach. A Cauchy sequence in a closed ball converges in , and if with , then , so the limit remains in the ball. Each is a norm on , and the induced metrics are exactly , and of the published metric-spaces page, and for with the Euclidean metric are complete, componentwise from the Cauchy criterion in , Banach space
Every bounded sequence in has a convergent subsequence. For every bounded sequence in has a convergent subsequence
For a continuous curve in a Banach space that is differentiable in the interval's interior, a bound implies . Mean value inequality for a differentiable Banach-valued curve
Proof
Since , the coordinate field is . On the admitted closed ball, maps the ball into itself because . For in the ball, the curve lies in it and [F6] gives ; the mean-value inequality [F9] therefore gives , where . The ball is nonempty and complete by [F7], so [F1] gives a unique fixed point , keeps all iterates in the ball, and gives . Multiplication by two gives , and gives . The convention makes the bound valid at . If , is constant on the ball, hence and every later iterate equals ; thus for . These assertions require only the hypotheses.
For the remaining claims, assume the additional and uniform branch hypotheses. Fix an admitted initial value and let through admitted initial values with selected roots . Since and , is bounded. If did not converge to , some subsequence would stay a positive distance from ; by [F8] it would have a convergent subsequence . The bound puts in , and continuity in gives . The contraction in step 1.1 gives uniqueness of this fixed point in , so , a contradiction; hence . Now put . At the selected root, with . Since , this matrix is invertible by the Neumann series, and [F2] supplies a local root branch. The continuity just proved and the IFT's local uniqueness identify the selected roots with this branch at every nearby admitted initial value. Differentiating gives and hence
Put and . The admitted fixed-point equation gives , hence uniformly. Since , . Apply the scalar theorem [F4] to each along : , where for some . These points may differ with . Bounded second derivatives on the tube give , hence . Substitution into first gives and then . Thus . For the exact flow, write . By [F3] and [F6], , , and are defined, with the third derivative uniformly bounded on the controlled trajectories. Scalar Taylor in time gives for , with possibly distinct . Each last term is bounded by ; summing their squares gives a Euclidean remainder bound . The case is immediate. The exact flow therefore has the same terms through degree two as , giving the uniform one-step defect for either sign of . No common Lagrange intermediate point for the vector is used.
By [F5], and ; therefore . Expanding both products gives . Thus .
From step 2.1, , and gives uniformly. Also ; Taylor's formula applied to the entries of along the stipulated segments, with uniformly bounded, gives . Thus and, after decreasing if needed, . For each , split into the change of between and and the one-step defect at . Applying [F9] on the comparison segment and the local estimate of step 2.2 gives ; the flow law in [F3] identifies . Iteration and when give .
The matrices and commute. Multiplying the equality in step 3.1 on the left by and on the right by yields . This proves the exact branch is symplectic.
Step 1.1 proves existence, uniqueness, convergence, and the stage and output certificates under the hypotheses. The implementation returns immediately for ; for its finite loop either meets the tolerance earlier or takes at most updates before its final inconclusive branch, and step 1.1 proves every reported radius valid. Under the additional and tube hypotheses, step 2.1 proves the exact branch's stated regularity, step 4.1 proves symplecticity, and steps 2.2 and 3.2 prove local second order and the finite-time error.
A finite formal logarithm has Hamiltonian coefficients on a star-shaped domain
Statement
Let be open and star-shaped about a point , meaning for every and . Let be real symmetric positive-definite, , and equip with the canonical form and matrix . Set with . Let be the kick-then-drift symplectic-Euler map, the local leapfrog map, or an admitted implicit-midpoint branch, on a compact subset where the chosen map is defined. Write for the kick-then-drift symplectic-Euler map and for leapfrog or implicit midpoint, as proved in Local and finite-time trajectory error for symplectic Euler and leapfrog and The admitted implicit midpoint branch is symplectic and second order. For a smooth test function , define the pullback by its Taylor coefficients at . For fixed finite , its truncated logarithm is the polynomial computed modulo terms of order . There are smooth vector fields and globally defined functions on such that where . Thus is a globally defined finite modified Hamiltonian. The logarithm is a finite formal polynomial for each fixed ; no convergence of an infinite series is asserted.
Facts & Assumptions
Given: The smooth Hamiltonian on the star-shaped phase domain, a local step map from this page, and a fixed finite order .
is star-shaped and method stages are admitted on a compact subset of .
Under their compact convex comparison-tube hypotheses, the local symplectic-Euler and leapfrog defects are respectively and , and both maps satisfy the local symplectic matrix identity. Local kick-then-drift symplectic Euler step, Local domain restriction for kick, drift, and leapfrog maps, Local leapfrog and kick-then-drift symplectic Euler are symplectic, Local and finite-time trajectory error for symplectic Euler and leapfrog
Under the stated uniform closed-ball hypotheses the exact implicit midpoint branch is symplectic; its order-two estimate additionally requires the stated compact convex comparison tube. These hypotheses will be supplied locally in step 1.1. Local implicit midpoint step for a Hamiltonian vector field, The admitted implicit midpoint branch is symplectic and second order
Every local Hamiltonian flow considered below preserves the canonical symplectic matrix. A smooth local Hamiltonian flow preserves the canonical symplectic matrix
A smooth finite-dimensional implicit branch remains smooth to each fixed finite order when the defining equation is smooth and its derivative in the unknown is invertible. The parametrized implicit function theorem with regularity
The Hamiltonian convention is for the canonical form specified in the Statement. Hamiltonian vector field and Hamiltonian function
Taylor expansion along a segment gives a uniform finite-order remainder on a compact convex subset of . Multivariable Taylor formula with a Lagrange remainder along a line segment
A smooth Euclidean vector field has a local flow on an open time-state domain, with the variational equation and compact continuation. C¹ Euclidean maximal flows, variational dependence and the finite C² upgrade
Continuous coefficient and derivative norms are bounded on a nonempty compact set. A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value
Proof
Fix and with . On this ball, [F8] bounds each required derivative of . Choose bounding the norms of and the kick and drift fields, and bounding . For centers in use midpoint stage radius . Choose with and ; all these balls then satisfy the uniform branch conditions of [F2]. Any other admitted midpoint ball gives the same root: its Picard iterates start at the same and obey the same recurrence, so their limit is also the limit for the ball of radius . Choose with and decrease to at most . Starting in , exact trajectories stay in for by the speed bound and [F7]. Numerical endpoints and kick/drift stages also stay there for : each explicit step has total substep displacement at most , and a midpoint step has displacement at most . The branch balls and every comparison segment therefore lie in the compact convex ball . All hypotheses needed for the local symplecticity and order conclusions of [F1] and [F2] hold on these smaller neighborhoods. No single convex tube covering all of is needed.
Fix . Smooth kick and drift formulas give smooth step germs at throughout . For midpoint apply [F4] to at , where . Its smooth solution germ is the exact root in step 1.1, and uniqueness identifies these germs on overlaps. Thus the Taylor coefficients are smooth on all of , and on any fixed compact subset a finite cover by the neighborhoods of step 1.1 gives , also with a uniform first-state-derivative remainder by smoothness. Consistency gives ; the verified local order estimates of [F1] and [F2] identify the coefficients through degree with those of the exact flow.
Seek . The time- flow expansion is . At coefficient , the first term contributes ; every term with can involve only at that degree. Thus set , where is the already determined coefficient from those higher flow terms. This finite recursion gives smooth fields on and matches coefficients through degree . Since step 2.1 identifies the exact-flow coefficients through degree , it gives .
For fixed parameter , the pullback of the time- flow of obeys and . Coefficient recursion in therefore gives modulo terms of total order ; at , this is . Step 3.1 gives and its comparison flow equal Taylor coefficients through degree , so [F6] makes their pullbacks equal modulo . Since , the finite polynomial logarithm in the Statement is valid modulo . The formal identity in the truncated algebra then gives modulo .
Fix and assume are Hamiltonian. The truncated field is Hamiltonian, so by [F3] its time- flow is symplectic. Step 3.1 gives and, after differentiating the smooth expansions, .
The symplectic matrix identity for both maps and imply . Divide by and take to obtain .
The one-form has coefficient column , so its derivative matrix is . Step 5.1 says this matrix is symmetric; hence is closed. Fix a star center and define . For any direction , differentiation under the integral gives . Closedness swaps the two arguments in the first term, making the integrand . Integration yields . Thus and [F5] makes Hamiltonian on all of .
Applying the coefficient induction in step 4.2, the matrix consequence in step 5.1, and the primitive construction in step 6.1 successively for supplies all finite Hamiltonians . Step 4.1 identifies the resulting vector-field coefficients with the truncated formal logarithm. The construction makes no assertion about convergence as .
A fixed finite modified flow matches its method map to the stated Taylor order
Statement
Fix an integer and a compact set for which the method maps and their selected branches are defined on a neighborhood. Let and be the finite modified Hamiltonian and vector field from A finite formal logarithm has Hamiltonian coefficients on a star-shaped domain, and let be the time- flow of . If the method, the comparison flow, and all Taylor segments remain in a compact , then there are such that where if , and otherwise For nonempty , this maximum exists by continuity on the compact set and equals the ordinary real supremum. In both cases is the least nonnegative upper bound for the pointwise errors on : for empty every nonnegative real is an upper bound and is the least. This convention does not assign a real supremum to an empty subset of . The constants depend on the fixed truncation order and the compact derivative bounds; no uniformity as is claimed.
Facts & Assumptions
Given: Fixed finite , the smooth method and finite modified vector field, and the compact tube and comparison-segment assumptions.
The method has a smooth local branch of the required finite regularity on . For implicit midpoint this follows from its smooth defining equation and invertible branch derivative. The parametrized implicit function theorem with regularity
The Taylor coefficients of the method and the finite modified-flow recursion agree through degree . A finite formal logarithm has Hamiltonian coefficients on a star-shaped domain
A local flow exists for a smooth vector field; its integral equation is . C¹ Euclidean maximal flows, variational dependence and the finite C² upgrade
Scalar Taylor expansion along a real segment gives a derivative-controlled finite-order remainder; componentwise bounds give a Euclidean remainder bound. Multivariable Taylor formula with a Lagrange remainder along a line segment
A continuous real-valued function on a nonempty compact metric space has a finite attained maximum, equal to its real supremum. A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value
Proof
If , its pointwise error family is empty, so every nonnegative real bounds it and is the least such bound. Thus satisfies the estimate, for example with . Assume henceforth . For each admitted fixed , [A1] and [F2] make the method and time- flow continuous in their initial state. By [F4] their error norm attains a finite nonnegative maximum on ; its maximum is its least nonnegative upper bound and its ordinary real supremum.
The method is a finite composition of smooth shears, or the smooth implicit branch in [A1]. For sufficiently small , its derivatives with respect to the step parameter through order are bounded on the compact admitted comparison set. Applying [F3] to each component therefore gives with uniformly on . The coefficients are those in [F1].
Hold fixed and put . Along its trajectory , the integral equation in [F2] gives . Repeated differentiation in gives , where and . Each is a finite polynomial in with smooth coefficient functions of , because is such a polynomial by [F1]. For these coefficient functions and the required derivatives are uniformly bounded on the compact tube by [F4]. Thus the time derivatives through are uniformly bounded on the stipulated trajectories. Apply [F3] in the time variable, with parameter fixed, between and (also for negative ). It gives , where uniformly on . No derivative of the flow with respect to the field parameter is used.
Expand the finitely many polynomials in step 1.3 and collect equal powers of . Every term of degree at least is bounded by a fixed constant times for , because there are finitely many such terms and their coefficient functions are bounded on the compact tube. The recursion in [F1] (its coefficient construction) identifies all collected coefficients through degree with the method coefficients in step 1.2. Subtracting the two expansions leaves only their uniform remainders and the discarded higher-degree polynomial terms. Consequently for all , after increasing to a positive constant. Taking the attained maximum from step 1.1 proves the asserted estimate; step 1.1 already covers empty .
A fixed finite modified Hamiltonian is close to the original energy
Statement
For a fixed and compact , let be the finite modified Hamiltonian constructed in A finite formal logarithm has Hamiltonian coefficients on a star-shaped domain. Define if , and otherwise . Put . Then is finite and nonnegative, and for , The least nonnegative upper bound for these pointwise errors is also at most . If , this is exactly If , the pointwise assertion is vacuous and its least nonnegative upper bound is ; no real supremum of an empty set is used.
Facts & Assumptions
Given: A fixed finite truncation and compact .
The coefficients are smooth on and the modified Hamiltonian is the finite polynomial . A finite formal logarithm has Hamiltonian coefficients on a star-shaped domain
A continuous real-valued function on a nonempty compact metric space attains a finite maximum, equal to its real supremum. A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value
Proof
If , every and hence . The pointwise estimate has no instances, and every nonnegative real is a uniform upper bound for the empty error family, so its least such bound is . Assume henceforth . By [F1], every is continuous; [F2] applied to gives its finite nonnegative maximum on , equal to the corresponding supremum. Their finite sum is therefore finite and nonnegative.
For , [F1] and step 1.1 give for , since every has . The error function is continuous on nonempty compact , so [F2] also gives its attained maximum and ordinary real supremum, both bounded by this same right-hand side. Its nonnegative maximum is its least nonnegative upper bound. Together with the empty branch in step 1.1, this proves every stated case without an empty real supremum.
The finite modified Hamiltonian has a bounded one-step defect
Statement
Fix and a compact comparison tube . Let be the finite modified Hamiltonian from A finite formal logarithm has Hamiltonian coefficients on a star-shaped domain. Suppose , , the exact time- flow of from , and the line segment joining those two endpoints all lie in . For sufficiently small , there is a constant independent of such that
Facts & Assumptions
Given: The fixed finite modified Hamiltonian, an admitted numerical step, and the compact comparison tube and segment.
The method endpoint, modified-flow endpoint, and comparison segment lie in .
On a compact initial set with method branches defined on a neighborhood and a compact tube containing the comparison flows and Taylor segments, the one-step map and time- modified flow differ by at most . The needed neighborhood and tube will be constructed in step 1.1. A fixed finite modified flow matches its method map to the stated Taylor order
A Hamiltonian is constant along every integral curve of its own Hamiltonian vector field, without a completeness assumption. A Hamiltonian is conserved along its own flow
A smooth local Hamiltonian vector field has a local integral curve from each admitted initial state. Every Picard–Lindelöf initial value problem has one maximal solution on an open interval, C¹ Euclidean maximal flows, variational dependence and the finite C² upgrade
Use the Euclidean norm and its induced operator norm. Each and is smooth, so each derivative norm and is continuous and bounded on compact by the extreme-value theorem. For , the finite sum is therefore bounded there by one constant independent of . A finite formal logarithm has Hamiltonian coefficients on a star-shaped domain, A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value
The scalar mean-value theorem applies to a function continuous on a closed interval and differentiable in its interior. The mean value theorem, as the case of Cauchy's: for continuous on with and differentiable on there is with
The derivative of a composition is given by the total-derivative chain rule. The chain rule for total derivatives:
Proof
Since an instance has , assume ; otherwise the estimate is vacuous. Set . The local method construction in A finite formal logarithm has Hamiltonian coefficients on a star-shaped domain gives smooth step branches on a neighborhood of for uniformly small : cover by finitely many smaller convex balls whose enlarged closed balls lie in , and take the minimum of their positive step bounds. For midpoint, the construction identifies every admitted ball with the same local branch by its common Picard sequence. The enlarged balls control all method stages and spatial Taylor segments. For the modified flow, apply [F3] to the smooth augmented field on . Its open flow domain contains ; compactness gives a common interval of existence, with . The projected flow image of this compact time-state-parameter product is a compact subset of . Together with the finitely many enlarged balls it gives a compact tube containing the trajectories and all Taylor segments; the latter are taken within individual convex balls, without assuming convex. After decreasing the common step bound to at most , [F1] applies with initial set and control tube , giving one independent of and . The stipulated endpoint segment in [A1] remains in the original for the scalar energy comparison.
By [F3], the modified Hamiltonian vector field has a local flow from . By [F2], that flow preserves , so .
Parameterize the segment in [A1] by . By [F4] and [F6], ; [F5] then bounds the endpoint difference by the same quantity. Thus by [F1]. For this is at most . Substituting the equality from step 1.2 proves the statement with .
Finite-order modified energy control on a compact tube
Statement
Let be open and star-shaped about a point , meaning for every and . Let be real symmetric positive-definite, , and with . Choose one of this page's fixed-step methods: kick-then-drift symplectic Euler with , or local leapfrog or an admitted implicit midpoint branch with . Fix a finite truncation order and choose small enough for the selected map and comparison flow branches. For one step size , let for , with . Assume every numerical endpoint, every method stage, every truncated modified-flow comparison segment, and every segment used to compare with lies in one compact tube . Then there are constants , independent of , such that The bound holds only while the stated compact-tube and domain hypotheses hold; if , its accumulated defect term is at most . It asserts neither exact conservation of by the numerical method nor convergence of an infinite modified series.
Facts & Assumptions
Given: A smooth Hamiltonian, one selected page method and its order , a fixed , a fixed step , and a trajectory satisfying the compact-tube hypotheses.
The finite modified Hamiltonian exists globally on the star-shaped phase domain. A finite formal logarithm has Hamiltonian coefficients on a star-shaped domain
On the compact tube, . A fixed finite modified Hamiltonian is close to the original energy
Each numerical step changes the finite modified Hamiltonian by at most . The finite modified Hamiltonian has a bounded one-step defect
Symplectic Euler has order one, while leapfrog and the admitted implicit midpoint branch have order two under their respective tube and branch conditions. Local and finite-time trajectory error for symplectic Euler and leapfrog, The admitted implicit midpoint branch is symplectic and second order
Proof
For the selected method, [F3] fixes the order of the finite modification. For each , [A1] and [F2] then give . The triangle inequality over the consecutive increments yields
Add and subtract the modified Hamiltonian at both endpoints: Applying [F1] to the first and third terms and step 1.1 to the middle term gives the stated bound.
Remarks
Symplecticity, reversibility, exact invariants, and modified-energy control are separate properties. This result concerns only the unconstrained maps specified above. Lie and Strang splitting are treated at the exact split-flow compositions ↗, while constrained integration is treated at the classical RATTLE step ↗; no claim here transfers to those methods.
5 · Examples, counterexamples and false statements
None yet.
Sources
- Ernst Hairer, Geometric Numerical Integration, TU München Lecture 2: Symplectic integrators
- Nikolaj Nordkvist and Poul G. Hjorth, Classical Mechanics and Symplectic Integration
- Ernst Hairer, Geometric Numerical Integration, TU München Lecture 1: Hamiltonian systems
- Ernst Hairer, Geometric Numerical Integration, TU München Lecture 3: Backward error analysis