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Nonsmooth contact time stepping and projections — Examples
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Absolute Continuity and the Sharp Fundamental Theorem of Calculus
- Areas of Elementary Plane Figures
- Binary Operations, Monoids, Groups and Subgroups
- Bounded Linear Operators and Quotient Spaces
- Bounded Variation and the Riemann–Stieltjes Integral
- Compactness
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Complex Norms and Realification
- Complexification, Realification and Real Structures
- 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
- Convergence: Nets and Filters
- Convex and Semicontinuous Functions on Rⁿ
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Density Separability and Convolution in Lᵖ
- Differentiation of Monotone Functions and the Vitali Covering Theorem
- 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
- Finite Probability and the Probabilistic Method
- Foundations of the Real Numbers for Analysis
- Fubini and Change of Variables
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Inequality KKT duality and optimality certificates
- Lebesgue Measure on Euclidean Space
- 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
- Measurable Functions and Simple Approximation
- Measures and Their Basic Properties
- Metric Spaces
- Mixed Partials, Taylor Formulae, and Extrema
- Monotone Functions, Discontinuities, and Continuity Sets
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Nonsmooth contact time stepping and projections
- Normal Subgroups and Quotient Groups
- Normed and Banach Spaces
- Order, Zorn's Lemma, and the Axiom of Choice
- Outer Measure and the Caratheodory Extension Theorem
- Picard-Lindelöf and First-Order Ordinary Differential Equations
- Pointwise Extended-Real Function Products
- Polynomial Rings, the Division Algorithm and Roots
- Power Series and Real-Analytic Functions
- Properties of the Integral and the Working FTC
- Proximal gradient and accelerated composite optimization
- 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
- Sigma Algebras and Borel Sets
- Signed and Complex Measures Hahn and Jordan
- Simple Field Extensions and the Construction of the Complex Numbers
- Subspaces, Products, and Quotients
- Suprema and Infima
- The Analytic Hahn Banach Theorem
- The Cantor Set, Baire Category, and Measure Zero in ℝ
- The Derivative and the Mean Value Theorems
- The Direct Method and Euler--Lagrange Equations
- The Exponential Function
- The Inverse and Implicit Function Theorems
- The Inverse Function Theorem Completed
- The Lebesgue Integral and the Convergence Theorems
- The Logarithm and General Powers
- The Lᵖ Spaces Holder Minkowski and Riesz Fischer
- The Maximal Function and Lebesgue Differentiation
- The Radon Nikodym Theorem and Lebesgue Decomposition
- 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
- Triangularisation, Generalised Eigenspaces and Jordan Canonical Form
- Vector Spaces, Linear Subspaces, Span and Direct Sums
- Weak and Weak Star Topologies
2 · Summary
These examples work through a two-sphere impact, the perfectly inelastic and elastic limits of the scalar impulse law, and projected Euler for an overdamped particle on . A nonconvex two-point set shows why convexity is required for a single-valued projection. A scalar penalty ODE shows how a fixed explicit time step can become unstable as stiffness grows; it does not establish a general penalty limit for rigid impacts.
3 · Logical flowchart
4 · Definitions, theorems and proofs
None yet.
5 · Examples, counterexamples and false statements
A closed nonconvex set can have two nearest points
Statement refuted
Every nonempty closed subset of has a unique nearest point to every input point.
Facts & Assumptions
Given: The false statement above.
The Euclidean inner product on : on , the Euclidean distance between and is .
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 and Open ball, closed ball and sphere in a metric space: a set is closed when its complement is open; an open ball of radius about is the set of points at distance less than from .
Counterexample
Let . It is nonempty. If , put . For any with , [F3] gives and , so this ball misses . Thus is open and is closed by [F2].
For input , both points of have distance by [F1], and these are all the points in . Hence the nearest-point set is exactly , which is not a singleton. The claimed unique projection fails for this nonconvex closed set.
A two-sphere impact with unequal masses
Example
Take , , any radii , centers with for , pre-impact velocities , , and restitution . The incoming relative normal speed is .
Facts & Assumptions
Given: The two-sphere impact data in the Example.
Impulse, momentum, and kinetic-energy laws for an isolated frictionless sphere impact: for , , the post-impact velocities are updated by equal and opposite normal impulses, and the kinetic-energy change is .
Verification
The inverse reduced mass is , and . Thus . The post-impact velocities are and .
Total momentum is before impact and after. The relative normal speed after impact is . The kinetic energies are and , so , matching from [F1].
Inelastic and elastic endpoints of a scalar impact step
Example
Use , , , , and . Compare restitution values and , with a root-search budget of two candidate roots.
Facts & Assumptions
Given: The scalar impact inputs in the Example.
First-impact step for a one-dimensional unilateral contact: the earliest root with incoming velocity is returned as an impact with and .
Complementarity, momentum balance, and energy loss at a scalar impact: a resolved impact has nonnegative impulse, zero contact gap, momentum balance, and kinetic-energy ratio across the collision.
Verification
The free-flight gap is , whose unique root on is with . Hence the step returns an impact at contact for both restitution values.
If , then and ; if , then and . In both cases and . The pre-impact kinetic energy is ; the post-impact energies are and , respectively. The momentum identities are and . These equal the inelastic and elastic endpoints of [F2].
A stiff penalty equation defeats a fixed explicit step
Example
Let the nonempty closed convex set and in the projected dynamics of Projected contact dynamics and explicit projection Euler step, starting at . Compare this constrained motion with the penalty equation where and . The explicit Euler penalty method uses a fixed step and horizon .
Facts & Assumptions
Given: The scalar constrained and penalty models in the Example.
Projected contact dynamics and explicit projection Euler step: , with outward.
The exponential is positive and satisfies : for every real .
The exponential function is strictly increasing: if , then .
Verification
For , because for every . Thus solves the projected inclusion: . For , [F2] gives ; [F3]–[F4] give for , so and the penalty equation holds. Also , so and the exact penalty paths converge uniformly to the constrained path as .
Explicit Euler gives , since the penalty is zero at . At , the next value is . For fixed , as , despite the continuous penalty solutions converging uniformly to zero. Therefore the timestep must be controlled as stiffness grows; this example makes no general penalty-to-rigid-impact limit claim.
Projected Euler for a constrained overdamped particle
Example
Take the compact, closed, convex set , constant forcing , initial state , and horizon . Use a provider that returns the exact projection with its zero-residual certificate, with and at each of uniform steps, so .
Facts & Assumptions
Given: The one-dimensional projected dynamics data in the Example, Countable Choice, and Dependent Choice for the general theorem application.
The Axiom of Countable Choice (): Countable Choice, as assumed by the existence and error theorem.
The axiom of dependent choice: a relation in which every element is related to something admits an -indexed chain: Dependent Choice, as assumed by the existence and error theorem.
Projected contact dynamics and explicit projection Euler step: solutions satisfy , and the exact Euler recurrence is .
Projected Euler with certified inexact projection solves: with zero projection residual tolerance, every completed step is the exact projection Euler node.
A square-root global error bound for projected Euler with certified projection tolerances: for this problem, a completed zero-tolerance projected Euler trajectory converges uniformly to the unique solution and has the proved square-root bound.
Metric projection onto a closed convex set satisfies the variational inequality: the exact projection satisfies the zero-residual certificate required by Projected Euler with certified inexact projection solves.
Verification
For , ; at , , and at , . Therefore satisfies the projected inclusion for and : before contact and ; after contact and . At , . The single nondifferentiability time does not affect the almost-everywhere condition. The data satisfy the hypotheses of [F3], using [A1] and [A2].
For , : if , then for every ; if , itself is the nearest point; if , then . By [F4], this exact projection supplies the zero-residual certificate, so the provider completes each step. Since all iterates are at most , the recurrence is . Starting with , induction gives : if , the next value is ; if , both the current and next values are zero and . On cells entirely before , interpolation equals ; on cells entirely after , it is zero. If a cell straddles , its left value is and its right value is zero; the difference from is linear on each side of and has maximum at , at most . Thus , consistent with [F3].