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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.
Depends on
- Banach space
- 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 $\mathbb{R}$
- For $n \ge 1$ every bounded sequence in $\mathbb{R}^n$ has a convergent subsequence
- Mean value inequality for a differentiable Banach-valued curve
- Local implicit midpoint step for a Hamiltonian vector field
- A contraction of a nonempty complete metric space into itself has exactly one fixed point, the limit of the iterates from any starting point
- The Euclidean implicit function theorem with derivative formula
- 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
- Continuous mixed partials of order $k$ are invariant under permutations
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
Cited to discharge well-definedness by Local implicit midpoint step for a Hamiltonian vector field.
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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)