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Interacting Ensemble Geometry — Examples
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Approximation and Compactness in C(K)
- Areas of Elementary Plane Figures
- Banach Alaoglu Goldstine and Krein Milman
- Banach Valued Integration and the Radon Nikodym Property
- Binary Operations, Monoids, Groups and Subgroups
- Bounded Linear Operators and Quotient Spaces
- Compactness
- Compactness in Metric Spaces
- Complete Metrizability, Čech-Completeness, and Baire Category
- Completeness, Completion, and Uniform Continuity
- Complex Lp Spaces and Test-Function Conventions
- Conditional Distributions and Regular Conditional Probability
- Conditional Expectation
- 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
- Convexity
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Countability Axioms and Cardinal Functions
- Density Separability and Convolution in Lᵖ
- Discrete Time Martingales
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Dual Spaces Adjoint Operators and Annihilators
- 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
- Hausdorff via the Diagonal
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Infinite Product Measures and Kolmogorov Extension
- Interacting Ensemble Geometry
- 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
- Martingale Inequalities and Convergence
- Matrices, the Matrix of a Linear Map, and Change of Basis
- Measurable Functions and Simple Approximation
- Measure-Preserving Systems and Mixing Criteria
- Measures and Their Basic Properties
- Metric Spaces
- Mixed Partials, Taylor Formulae, and Extrema
- Modes of Convergence Egorov and Lusin
- Modes of Convergence for Random Variables
- Monadicity and Beck's Theorem
- 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
- Outer Measure and the Caratheodory Extension Theorem
- Polynomial Rings, the Division Algorithm and Roots
- Power Series and Real-Analytic Functions
- Probability Spaces Random Variables and Expectation
- Product Measures and the Fubini Tonelli Theorems
- Properties of the Integral and the Working FTC
- Reflexivity and Eberlein Smulian
- 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
- Sequential Uniform Boundedness with Countable Choice
- 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
- Spatial Measure And Information
- Standard-Borel Real Codings and Determining Classes
- Subspaces, Products, and Quotients
- Suprema and Infima
- The Analytic Hahn Banach Theorem
- The Baire Principles of Functional Analysis
- 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 Duality of Lᵖ and L^q
- The Ergodic Theorems of von Neumann and Birkhoff
- The Exponential Function
- The Lebesgue Integral and the Convergence Theorems
- The Logarithm and General Powers
- The Lᵖ Spaces Holder Minkowski and Riesz Fischer
- 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
- Weak Mixing and the Chacon Transformation
2 · Summary
These leaf examples keep the ensemble qualifications concrete. A one-dimensional hard-rod calculation shows that retaining the forbidden-pair rule at zero inverse temperature does not produce an unrestricted Poisson gas. A uniform field throughout an ideal-gas volume changes the pressure exactly. Close packing can have zero canonical configuration volume, and a nonunique variational minimum permits multiple local accumulation points. The last example is an abstract conditional convex-mixture demonstration; it does not claim that a particular potential has a phase transition.
3 · Logical flowchart
4 · Definitions, postulates, theorems and proofs
None yet.
5 · Examples, experiments and counterexamples
A hard core remains at zero inverse temperature
Example
In one spatial dimension, let for and otherwise, with . On an interval , define the beta-zero weight by retaining the forbidden-pair exclusion as in Zero-inverse-temperature-parameter limit with forbidden pairs retained. If , the two-particle canonical partition is while the unrestricted ideal-gas value is . Thus the retained hard-core beta-zero ensemble is not the Poisson ideal gas.
Facts & Assumptions
Given: , , and the hard-admissibility convention.
Superstable regular pair interactions and configurational ensemble notation: the canonical positional integral has normalization .
Zero-inverse-temperature-parameter limit with forbidden pairs retained: the grand beta-zero weight is . On the fixed- sector the canonical coefficient is the weight divided by (equivalently, set ), namely ; hence it contains no activity factor. For the free interval here, admissibility means .
The product measure of two sigma-finite measure spaces, A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included, For sigma-finite factors, the product measure exists, has the rectangle formula, is sigma-finite, and is unique, and Tonelli's theorem for nonnegative measurable functions on a sigma-finite product: the labeled coordinate measure is product Lebesgue measure, with rectangular volume and iterated integration.
The factorial and the falling factorial , defined by recursion in : the canonical normalization uses .
Verification
Given: The one-dimensional hard-rod potential and the stated interval.
On the ordered region , allowed pairs satisfy , so their volume is . The coordinate-swap map preserves product Lebesgue measure, so the region has the same volume; the diagonal has zero product measure. Thus the full labeled allowed volume is , and division by gives .
Since , , the unrestricted ideal-gas two-particle canonical term. The strict deficit is caused by the forbidden separation band and remains at beta zero by [F2].
A volume-sized external field changes ideal-gas pressure
Statement refuted
At fixed activity and inverse temperature , adding any spatially constant one-particle external energy throughout a continuum ideal-gas region leaves the thermodynamic-limit log grand partition sum per volume unchanged, as would a negligible boundary perturbation.
Facts & Assumptions
Given: , , , constant , and the -normalized positional grand sum.
The model has zero pair energy and assigns each -point configuration external energy .
The product measure of two sigma-finite measure spaces, For sigma-finite factors, the product measure exists, has the rectangle formula, is sigma-finite, and is unique, and Tonelli's theorem for nonnegative measurable functions on a sigma-finite product: the product coordinate integral of the constant one over is .
The factorial and the falling factorial , defined by recursion in , The real exponential function and the number by a power series, and The exponential addition formula : the nonnegative exponential series satisfies .
Counterexample
Given: , , , constant , and the -normalized positional grand sum.
For the continuum ideal gas in a bounded measurable region of volume , use activity , inverse temperature , and no pair interaction. Add a constant external one-particle energy throughout . This volume-sized field changes the pressure per volume whenever , so it is not a negligible boundary perturbation.
The -particle term without the field is , by the product volume [F1] and the convention [given]. Summing over gives by [F2].
With the field, each term is multiplied by , so by [F2]. Therefore and . If , these differ because .
The close-packing endpoint can have zero canonical weight
Example
In one dimension, let the pair potential be infinite when the separation is less than , and zero otherwise. For labeled rods in , with canonical positional normalization , write . If , translating the ordered coordinates by gives If , the allowed configuration set has zero Lebesgue measure and . Along with , the density while every finite-volume partition is zero. Thus the thermodynamic close-packing endpoint is approached by a sequence of zero-weight finite systems; it is not realized by a positive canonical partition. The interior canonical limit theorem makes no assertion at that endpoint.
Facts & Assumptions
Given: Hard-core distance and inverse temperature .
Superstable regular pair interactions and configurational ensemble notation: the canonical positional partition integrates over labeled coordinates and divides by .
Canonical free-cube limit at every interior attainable density: its canonical limit assertion is restricted to interior attainable densities.
The product measure of two sigma-finite measure spaces, A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included, For sigma-finite factors, the product measure exists, has the rectangle formula, is sigma-finite, and is unique, and Tonelli's theorem for nonnegative measurable functions on a sigma-finite product: product Lebesgue measure assigns volume to the cube and permits iterated integration.
The factorial and the falling factorial , defined by recursion in : the coordinate-order partition has permutation chambers and the canonical normalization divides by .
Lebesgue outer measure, Lebesgue measurability and Lebesgue measure are unchanged by translation: translating a Lebesgue-measurable set preserves its Lebesgue measure.
Verification
Given: and .
Order the coordinates . The exclusion constraints are . Apply the coordinatewise translation ; each one-coordinate translation preserves Lebesgue measure [F5], so product measure is preserved. The ordered region becomes , where . The cube splits, up to equality sets of zero product measure, into coordinate-order regions. Product-measure uniqueness makes these permutation chambers equal in measure, so the ordered region has volume . The full labeled allowed volume is times this, and canonical division by gives .
If , then and the transformed region is a null set; its integral is zero. If , then and the ordered region has positive product volume. Thus the maximal-density endpoint does not carry a positive canonical partition at exact close packing; the interior-only theorem [F2] makes no contrary assertion.
Nonunique minimizers allow distinct local accumulation limits
Example
Suppose has two distinct stationary minimizers with equal finite value . Every finite mixture , , also minimizes . The sequence of stationary laws alternating between and has two distinct local accumulation points and does not converge. This conditional mathematical example shows why compactness alone yields minimizer-set accumulation; it does not assert a finite-volume ensemble realizes the sequence or that a particular continuum potential exhibits coexistence.
Facts & Assumptions
Given: Two distinct stationary minimizers with finite equal minimum .
Superstable regular continuum grand pressure and variational formula: is the limit of normalized finite-volume expected energies, and is expected unit-cell count.
Specific Relative Entropy Density: is the large-cube limit of relative entropies against the unit-intensity Poisson reference.
Relative Entropy Variational, Chain, and Conditioning Rules: relative entropy obeys the mixture-label chain rule and is nonnegative.
Local-Tame Topology: tests every bounded measurable local observable.
Verification
Given: The assumptions above.
Let be stationary laws of finite specific entropy and let . For a bounded cube , the binary-label chain rule [F3] gives where is the mixture label and the observed configuration. Since , divide by and take the cube limit [F2]; , so . The expectation defining is affine. For finite energy densities, for every ; dividing by volume and taking limits gives affinity of . Thus is affine on finite mixtures of finite- laws.
Applying step 1.1 to gives , so every mixture is a minimizer. Put and . The even and odd subsequences converge locally to and . Since distinct laws differ on a bounded-region measurable event, its indicator is a bounded local test by [F4] with different expectations; the full sequence therefore has no limit. Both accumulation points are minimizers.