How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
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.
Depends on
- Banach space
- A norm on a real vector space, the induced metric, and the dictionary with the metric axioms
- Each $\lVert\cdot\rVert_p$ is a norm on $\mathbb{R}^n$, and the induced metrics are exactly $d_1$, $d_2$ and $d_\infty$ of the published metric-spaces page
- $\mathbb{R}$ and $\mathbb{R}^n$ for $n \ge 1$ with the Euclidean metric are complete, componentwise from the Cauchy criterion in $\mathbb{R}$
- Mean value inequality for a differentiable Banach-valued curve
- Local domain restriction for kick, drift, and leapfrog maps
- Local kick-then-drift symplectic Euler step
- C¹ Euclidean maximal flows, variational dependence and the finite C² upgrade
- The chain rule for total derivatives: $D(g\circ f)(a)=Dg(f(a))\circ Df(a)$
- Multivariable Taylor formula with a Lagrange remainder along a line segment
Used by
- A finite formal logarithm has Hamiltonian coefficients on a star-shaped domain Lemma
- Finite-order modified energy control on a compact tube Theorem
- Leapfrog geometry and finite-time order for the matched periodic PIC Hamiltonian Theorem
- Local geometric properties and second-order error of the separable regularized vortex-inspired leapfrog Theorem
Dependency tree · two levels
73 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Ernst Hairer, Geometric Numerical Integration, TU München Lecture 2: Symplectic integrators (standard reference, not scraped)
- Nikolaj Nordkvist and Poul G. Hjorth, Classical Mechanics and Symplectic Integration (standard reference, not scraped)