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Verlet: worked examples
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
- Symplectic Verlet and analytic backward error
- 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
The oscillator calculation exhibits an exact positive quadratic invariant for steps below the stability boundary, and derives an all-step bound for oscillation of the original energy. The analytic pendulum calculation verifies the complex vector-field bounds and the compact-domain margin, then states exactly which numerical-retention and arithmetic hypotheses remain necessary. These are mathematical examples in dimensionless coordinates, with no fabricated numerical measurements.
3 · Logical flowchart
4 · Definitions, postulates, theorems and proofs
Oscillator Verlet: a preserved quadratic form and bounded original-energy oscillation
Example
Take , , , , and in The splitting Hamiltonian , the drift and kick maps, and the velocity-Verlet map. Thus the dimensionless oscillator has . For each initial state , velocity Verlet is the matrix map , where
For , put and . This positive quadratic form is exactly preserved. Every iterate satisfies
The conclusion is an explicit exact-arithmetic all-step fact for this linear example. At positivity fails; at the map has a real eigenvalue of modulus greater than one.
Verification
Given: The domain, mass matrix, potential, arbitrary initial state , and the velocity-Verlet kick-drift-kick formula from the splitting definition; .
[F1] The splitting Hamiltonian , the drift and kick maps, and the velocity-Verlet map gives and ; The drift, kick and velocity-Verlet maps are canonical: and proves exact symplecticity.
Matrix and invariant. Multiplying the three displayed shear matrices gives as stated. Direct multiplication gives , using . Thus and .
Original energy and boundary. Since , . At the invariant matrix is singular. For , and , so the real reciprocal eigenvalues have one modulus greater than one. This explains the step restriction without asserting stability at its excluded endpoint.
Analytic pendulum: checking the complex bounds and compact-iterate hypothesis
Example
On the dimensionless real ball , take , mechanical mass matrix , and , with holomorphic extensions and on . Set and . The analytic labels are potential first and kinetic second, so the splitting is velocity Verlet. These data satisfy the analytic hypotheses with the field bound . Therefore, for sufficiently small constant , if the iterates lie in through , their original-energy deviation is . Compact retention is an additional hypothesis, which this example does not infer from the estimate.
Verification
Given: The stated sets and entire functions, with dimensionless coordinates.
[F1] Analytic splitting data with uniform holomorphic neighbourhood, and the exact symmetric splitting map specifies the complex neighbourhood, vector-field bound and compact margin. Analytic Verlet retains order-two energy accuracy on exponential times supplies the conditional energy estimate; Bounded per-step state perturbations add a separate linear energy term supplies its perturbed version.
Analytic-data check. Both functions extend entirely. On around , and . Since , and , both bounded by . The sets are star-shaped about zero, is compact in , and its real boundary margin is . The analytic labels are potential first, kinetic second, so the composition is kick-drift-kick.
Consequence and perturbations. Choose the theorem's sufficiently small also with , using the computed margin . Its mechanical-stage argument bounds every full internal segment by from its retained starting point in , so all stages lie in and the analytic splitting equals velocity Verlet. All analytic-data hypotheses now hold, so [F1] gives the stated energy conclusion if numerical retention holds. If computed points additionally have per-step state errors at most , and every comparison segment from to and from to the modified-flow endpoint lies in , the estimate instead reads . Neither conclusion certifies retention or predicts empirical machine error.
5 · Examples, experiments and counterexamples
None yet.