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Smooth periodic finite-N and scaled mean-field phase data — Examples
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Areas of Elementary Plane Figures
- Binary Operations, Monoids, Groups and Subgroups
- Compactness
- 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
- 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
- Euclidean Ordinary Differential Equations with Smooth Dependence
- Euclidean Surface Measure, Divergence, and Green Identities
- Exterior Powers, Orientation and Hodge Duality
- 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
- Fundamental Trigonometric Identities
- Gaussian Elimination, Elementary Matrices and Reduced Row Echelon Form
- Group Actions, Orbits, Stabilisers and Cayley's Theorem
- Hamiltonian Mechanics and Completely Integrable Systems
- Hamiltonian phase, complete-domain flow and reference measure
- Hausdorff via the Diagonal
- Hereditary and Productive Behaviour of the Separation Axioms
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Improper and Parameter-Dependent Multiple Integrals
- Improper Integrals
- Integration of Forms and the General Stokes Theorem
- 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
- Manifolds with Boundary Collars and Orientations
- Matrices, the Matrix of a Linear Map, and Change of Basis
- Measurable Densities and Radon Volume on Manifolds
- 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
- Normal Subgroups and Quotient Groups
- Norming and Separation under Hahn–Banach
- Order, Zorn's Lemma, and the Axiom of Choice
- Orthonormal Bases, Parseval and Fourier Series
- Outer Measure and the Caratheodory Extension Theorem
- Partitions of Unity and Paracompactness
- 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
- Product Measures and the Fubini Tonelli Theorems
- Properties of the Integral and the Working FTC
- Radon Measures and the Riesz Markov Kakutani Theorem
- 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
- Sigma Algebras and Borel Sets
- 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 periodic finite-N and scaled mean-field phase data
- 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
- Tangent Cotangent and the Differential
- Tensor Fields Exterior Algebra and Differential Forms
- 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 Lebesgue Integral and the Convergence Theorems
- 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 two-particle example starts from uniform positions and independent centered Gaussian momenta. Its one-particle marginal has zero initial time derivative, while the joint density has a nonzero derivative on an open set. It therefore exhibits finite- correlation production without claiming that propagation of chaos fails in the large- regime.
3 · Logical flowchart
4 · Definitions, postulates, theorems and proofs
None yet.
5 · Examples, experiments and counterexamples
Finite pair dynamics immediately creates correlations
Statement
Use the finite-N model and units of Smooth periodic finite-N and scaled mean-field phase data. Let , , mass in kilograms, side length in metres, and choose a smooth, even, nonconstant periodic potential in joules with force in newtons. Let in kilogram-metres per second and . Let be the quotient position volume induced from Euclidean Lebesgue measure on and let be momentum Lebesgue measure as defined from The one-dimensional torus and its normalized Haar integral. The canonical phase volume is as in Exact normalized BBGKY hierarchy. The normalized initial density relative to is
The density factorizes into uniform position densities and centered Gaussian momentum densities. Under the exact smooth periodic finite-particle flow, the one-particle marginal has , while
which is nonzero on a nonempty open subset of phase space. Thus the evolved two-particle law fails to remain a product for every sufficiently small nonzero time. No factorization or chaos assumption is made at positive time.
Facts & Assumptions
Given: The smooth even periodic pair model, , the displayed normalized product density, and countable choice for the completed-product hierarchy input.
Smooth periodic finite-N and scaled mean-field phase data: positions lie in , momenta in , and the pair force is the odd periodic field in the stated model.
Exact normalized BBGKY hierarchy: the exact normalized hierarchy follows from the finite- Liouville equation under symmetry, smoothness, rapid tails and countable choice.
The Axiom of Countable Choice (): assume countable choice as required by the completed-product integration input in [F2].
The one-dimensional torus and its normalized Haar integral: the position measure on is induced by Lebesgue measure on , and is a normalized probability.
Tonelli's theorem for nonnegative measurable functions on a sigma-finite product: nonnegative product integrals on sigma-finite Euclidean product spaces equal their iterated integrals.
Proof
By [F3], the position density is normalized on . Scaling and applying [F4] gives ; Tonelli [F5] factors the -dimensional integral, so . Therefore integrates to one relative to . It is symmetric and smooth; every momentum derivative is a polynomial times a Gaussian, so it has all rapid-tail bounds required by [F2]. Its one-particle marginal is .
Use the case of [F2]: At , the streaming derivative vanishes because is independent of . Also : by [F3], this is the normalized fundamental-cube integral of a periodic derivative of , which is zero in each coordinate by the fundamental theorem of calculus and periodicity. Thus the force average in the marginal equation is identically zero before its momentum divergence, and .
The joint Liouville equation in [F2] has interaction coefficient . The initial position derivatives vanish, and . Consequently Because is nonconstant, its gradient is nonzero at some point; continuity gives an open set of differences where . For each such difference, the condition holds on a nonempty open momentum set, and is strictly positive there. Hence the joint derivative is nonzero on a nonempty open set.
If the evolved joint density remained the product of its two one-particle marginals on a time interval around zero, differentiating that product at would give by step 2.1. Step 2.2 gives a nonzero joint derivative on an open set, a contradiction. At a point in that set, differentiability makes the difference between the joint density and the product density nonzero for all sufficiently small nonzero times. Thus correlations appear immediately from this initially factorized law.
Remarks
This example shows that an initially factorized law need not remain factorized under the exact finite- interaction. It does not contradict a large- propagation-of-chaos limit, which is a separate asymptotic claim. Here “correlation production” means only loss of the exact factorization .