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Hamiltonian phase, complete-domain flow and reference measure — 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 Lp Spaces and Test-Function Conventions
- 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
- Density Separability and Convolution in Lᵖ
- 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
- Eigenvalues, Eigenvectors and the Characteristic Polynomial
- 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
- 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
- Inner Product Spaces, Gram-Schmidt, Projections and Adjoints
- 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
- Measure Preserving Transformations and Poincare Recurrence
- Measure-Preserving Systems and Mixing Criteria
- Measures and Their Basic Properties
- Metric Spaces
- Mixed Partials, Taylor Formulae, and Extrema
- Mixture Dynamics And Shells
- Modes of Convergence Egorov and Lusin
- 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
- 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 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 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 Lebesgue Integral and the Convergence Theorems
- The Logarithm and General Powers
- The Lᵖ Spaces Holder Minkowski and Riesz Fischer
- 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 Fields Flows and Lie Derivatives
- Vector Spaces, Linear Subspaces, Span and Direct Sums
- Weak Mixing and the Chacon Transformation
2 · Summary
The examples separate recurrence from ergodicity, weak mixing from strong mixing, and fine reference-measure entropy from entropy of a chosen finite partition. The Chacon example is a discrete probability-preserving system and claims no Hamiltonian realization. The oscillator and rotor calculations are explicit mathematical models; neither is presented as an observation.
3 · Logical flowchart
4 · Definitions, postulates, theorems and proofs
None yet.
5 · Examples, experiments and counterexamples
Weak mixing need not imply strong mixing
Statement refuted
Weak mixing implies strong mixing for every probability-preserving transformation.
Facts & Assumptions
Given: A measure-preserving probability system, the local definitions in Ergodicity and mixing for a selected probability map, and full AC.
Full AC is assumed by the normalized Chacon construction and its published mathematical supplier (The Axiom of Choice).
Ergodicity and mixing for a selected probability map: weak mixing uses , while strong mixing requires for each fixed measurable pair.
Chacon transformation is weakly mixing but not mixing: under full AC the normalized three-cut one-spacer Chacon map on completed Lebesgue probability is weakly mixing in the absolute-Cesàro sense but is not strongly mixing. Its proof supplies the weak-mixing argument.
Chacon tower height correlations obstruct mixing: for the fixed set and unbounded tower heights , .
Counterexample
Given: [A1], [F1]–[F3].
Choose the normalized three-cut one-spacer Chacon transformation supplied by [F2], on its completed Lebesgue probability space. The exact convention in [F1] matches the supplier's absolute-Cesàro definition, so this system is weakly mixing.
By [F3], the correlations for the fixed pair stay at least above zero along . Strong mixing in [F1] would force these same correlations to tend to zero, which they do not. Hence this probability-preserving system is not strongly mixing and refutes the statement.
Remarks
This is a discrete measure-preserving example from ergodic theory. No Hamiltonian realization is claimed.
Two oscillators are recurrent but nonergodic on their total shell
Statement refuted
Every Hamiltonian time map on every compact regular finite-measure energy shell is ergodic for its normalized shell measure.
Facts & Assumptions
Given: Assume full AC for the regular-shell measure supplier. Choose and a total energy .
Full AC is the exact assumption in Invariant energy-weighted and regular-shell probabilities for its regular-shell clause (The Axiom of Choice).
Hamiltonian phase, complete-domain flow and reference measure: on use and the Hamiltonian flow convention .
Invariant energy-weighted and regular-shell probabilities: under full AC, the stated regular compact positive-energy shell has a finite positive invariant probability measure.
Hamiltonian recurrence under the exact finite-measure hypothesis: every fixed sampled map preserving a finite shell measure has almost-everywhere recurrence on each measurable subset.
Ergodicity and mixing for a selected probability map: ergodicity requires every strictly invariant measurable set , with , to have probability zero or one.
Counterexample
Given: [A1], the parameters above, and [F1]–[F3].
Define on . The Hamilton equations are and , whose explicit oscillatory solutions exist for every real time. For , vanishes only at the origin and hence nowhere on . For every compact , is closed and bounded because is a positive-definite quadratic form, hence compact in . The level is therefore a nonempty compact regular shell with the exact hypotheses of [F2].
Let and put . The equations in step 1.1 conserve because . Hence every time map satisfies . The set is a nonempty relatively open subset of ; for instance points with lie in it. Its complement contains a nonempty relatively open subset with . The regular-shell graph density is positive on every graph chart, so both open subsets have positive shell measure. Since the whole shell measure is finite and positive by [F2], the normalized probability of lies strictly between zero and one.
The invariant measurable set has intermediate probability, so [F4] rules out ergodicity of for every . By [F2], the normalized shell law is a finite invariant probability; apply [F3] to that same law and sampled map to obtain almost-everywhere recurrence. This is a recurrent Hamiltonian system that is not ergodic, refuting the statement.
Remarks
The two oscillator energies are conserved separately. Compactness and Liouville preservation therefore do not imply that a time map explores its entire energy shell.
Coarse Shannon entropy rises and falls in a reversible rotor
Statement refuted
For every reversible Hamiltonian flow, every finite measurable partition, and every initial density, the partition Shannon entropy is nondecreasing in time.
Facts & Assumptions
Given: Let be a position on the circle, an action coordinate, and choose , , and .
Hamiltonian phase, complete-domain flow and reference measure: on the canonical symplectic form is ; a complete invariant Borel domain carries the induced reference measure .
Adopt countable choice (The Axiom of Countable Choice ()) for the reference measure and the transport supplier [F2]; no regular-shell premise is used.
A flow on a symplectic manifold is reversible here if there is a smooth involution (so ) with and for every real .
Liouville probability transport and constant fine entropy: on an open complete invariant domain, a finite-valued normalized Borel density is transported by and preserves the fine whenever the absolute entropy integral is finite.
Counterexample
Given: [A1], the convention [A2], [F1]–[F2], and the positive parameters above.
Use the Hamiltonian , with dimensionless, in J s, and in s, so is in J. The convention in [F1] gives and . Thus is complete. The smooth involution satisfies and , proving reversibility in [A2]. Use the open invariant domain ; it is preserved by , complete under the flow, and its reference measure has total mass . Define on this open domain the density relative to . Its integral is ; excluding the two action endpoints changes no reference-measure mass.
Partition the open domain into and . The transported density has angular support modulo one. At its cell probabilities are . At its support is , so each cell receives angular length and the probabilities are . At its support is , so the probabilities are .
For any fixed , the coarse Shannon entropy , with , takes the values , , and at those three times. It therefore decreases between and , contradicting the proposed monotonicity. Here is a mathematical scale; choosing gives the usual entropy units J/K without changing the calculation.
The initial density satisfies . By [F2] its fine reference-measure entropy remains constant, even though the displayed coarse partition entropy changes.
Remarks
The angular coordinate is periodic; no global real-valued angle function is assumed. The calculation concerns an explicit mathematical coarse partition, not an observed entropy trace or a universal thermodynamic law.
Sources
- Peter Varju, Topics in Ergodic Theory, Michaelmas 2016, §11, pp. 36–40
- Katok–Thouvenot, An Introduction to the Modern Theory of Dynamical Systems, Theorem 5.12, pp. 696–697
- Peter Sarig, Lecture Notes on Ergodic Theory, Problems 3.8–3.10, pp. 99–101
- David Tong, Classical Dynamics, complete author-hosted lecture notes, §4.2.3
- Daniel Arovas, Thermodynamics and Statistical Mechanics, §3.3
- David Tong, Classical Dynamics, complete author-hosted lecture notes, §4.2