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Conditional entropy chain and disjoint-block bounds
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
- Classical configuration, phase and reference spaces
- Cm Math Canonical
- Cm Math Geometry
- Compactness
- Compactness in Metric Spaces
- Complete Metrizability, Čech-Completeness, and Baire Category
- Completeness, Completion, and Uniform Continuity
- Complex Lp Spaces and Test-Function Conventions
- Complex Norms and Realification
- Complex Subspace Realification
- Complexification, Realification and Real Structures
- 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
- Darboux, L'Hôpital, and Taylor's Theorem
- Density Separability and Convolution in Lᵖ
- Determinants of Matrices over a Commutative Ring
- Discrete Time Martingales
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Domination and Likelihood Ratios
- Dual Spaces Adjoint Operators and Annihilators
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Exterior Powers, Orientation and Hodge Duality
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Finite Probability and the Probabilistic Method
- Finite-range lattice interaction and conditional energy
- Foundations of the Real Numbers for Analysis
- Framework, quantities and geometry
- 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
- 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
- Infinite Product Measures and Kolmogorov Extension
- Inner Product Spaces, Gram-Schmidt, Projections and Adjoints
- 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
- Minimax Lower Bounds
- 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
- Nonsmooth Equilibrium
- 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
- Pointwise Extended-Real Function Products
- 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
- Rank Theorems and Embedded Submanifolds
- 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
- Sine, Cosine, and the Definition of Pi
- Smooth Manifolds and Smooth Maps
- Smooth Partitions of Unity and Exhaustions
- Smooth Vector Bundles and Sections
- Spatial Measure And Information
- Standard-Borel Real Codings and Determining Classes
- Stationary Markov Chains and Ergodic Limits
- 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 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 Determinant of a Linear Operator, Cofactors and Cramer's Rule
- The Duality of Lᵖ and L^q
- The Ergodic Theorems of von Neumann and Birkhoff
- The Exponential Function
- The Exterior Derivative and Cartan Calculus
- The Fundamental Theorems of Calculus
- The Integral Logarithm and the Equivalence of Its Characterisations
- 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 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
- Thermodynamic Framework
- 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 and Weak Star Topologies
- Weak Mixing and the Chacon Transformation
2 · Summary
This page proves the finite conditional relative-entropy chain and its disjoint-block bound, then develops the Gaussian momentum reference, marked configuration law, and marked periodic local-restriction convention used for a specified superstable regular pair model. Under the stated interior-density, differentiability, choice, and uniqueness hypotheses, a constructed periodic energy band has vanishing relative-entropy density from the canonical law. A gap construction transfers its positional law to the singleton variational state; conditional mark entropy then gives fixed-region convergence and the named kinetic-energy and momentum moments.
The physical preparation remains an adopted assumption. The deductions concern the constructed energy window and specified observables; they assert no equilibration, universal shell-width result, finite-volume grand convergence, or experimental measurement.
3 · Logical flowchart
4 · Definitions, postulates, theorems and proofs
Conditional entropy chain and disjoint-block bounds
Statement
Assume AC. Let be standard-Borel spaces, let be probability measures on , and let be a probability on . Write for its th marginal and use the directional extended relative entropy of Relative Entropy of Probability Measures. Then If the left side is finite, the conditional chain rule gives the stronger equality and each conditional increment is at least . If the left side is infinite, the displayed inequality is understood in the extended order and is automatic. For an integer and disjoint spatial blocks with fixed particle counts and fixed positions, apply this result to their mark spaces , with Borel sigma-algebras and probability mark references . The zero-fold product is the singleton consisting of the empty mark tuple. On that singleton both and are its unique probability measure, so a zero-occupancy mark block contributes zero. No zero-divergence claim is made for an unconditioned occupancy law.
Facts & Assumptions
Given: Standard-Borel block spaces, probability reference laws, and the stated joint probability.
AC supplies the conditional-law and entropy chain-rule hypotheses recorded in the current supplier.
Relative Entropy Variational, Chain, and Conditioning Rules: , where consists of bounded real measurable functions; relative entropy is nonnegative and cannot increase under a measurable map; finite relative entropy against a product probability reference has the conditional chain rule.
Relative Entropy of Probability Measures: is the extended directional KL divergence, equal to for , with value otherwise.
Proof
Given: The hypotheses and exact entropy conventions above.
If , then the inequality holds in the extended order. Suppose instead the joint entropy is finite. For , let be the marginal on the first coordinates and set . Projection contraction in [F1] gives . For , apply the finite-entropy chain rule to with reference . It gives , where . Each is nonnegative and finite. Telescoping these equalities gives the stated chain equality without subtracting infinite terms.
For , write and for the conditional probability kernel in step 1.1. For every bounded real measurable , the variational formula [F1] gives . Integrating against and using the conditional-law identity yields . Taking the supremum over these tests and applying [F1] again gives . Summing with the first chain term proves the inequality. For , the assertion is equality. On a zero-fold mark space, the density of its unique probability relative to itself is , so its marginal and conditional divergences are .
Gaussian mark normalization, moments, and exponential controls
Statement
Let , mass in kilograms, reference momentum in kg m s, energy scale in joules, and dimensionless inverse temperature . On use and . Then is a probability with , , and . For each among , and tilt parameter in reciprocal units to , the centered logarithmic moment-generating function is finite and twice continuously differentiable on a neighborhood of , with . In particular as . Here has momentum units and is energy in units of . For the optional physical-temperature parametrization, fix a positive scalar conversion parameter with units J K and take in kelvin; then .
Facts & Assumptions
Given: The constants and dimension specified above.
Tonelli's theorem for nonnegative measurable functions on a sigma-finite product: nonnegative product-measurable functions can be integrated by iterated integrals on the sigma-finite product reference.
If are differentiable on with integrable, then : one-dimensional integration by parts holds for continuously differentiable functions on bounded intervals.
Dominated convergence: a pointwise convergent measurable family dominated by an integrable function has convergent integrals.
Proof
Given: The constants, reference, and suppliers in Facts & Assumptions.
Substitute in each one-dimensional integral; [F1] gives Tonelli [F2] factors the nonnegative d-dimensional integral into d such terms. Dividing by p_*^d gives κ_b, so ν_b has mass one.
For g=K or g=p_i p_j, use |p_i p_j|≤(p_i²+p_j²)/2 and K=|p|²/(2mE_0). For g=p_i, completing a square gives |t p_i|≤a p_i²/2+t²/(2a) for any a>0. For sufficiently small |t| these bounds dominate the unnormalized MGF integrands and their first two t-derivatives by a polynomial times exp(-a_0|p|²), for some a_0>0. That majorant is integrable: each polynomial factor is bounded after absorbing half the Gaussian exponent and the remaining Gaussian integral is finite by [F1] and [F2]. Dominated convergence [F4] makes each MGF twice continuously differentiable near zero; positivity makes its logarithm twice continuously differentiable as well.
Oddness gives E p_i=0 and E p_i p_j=0 for i≠j. On [-R,R], integration by parts [F3] with u(p)=p and v'(p)=p exp(-ap²), where a=b/(2mE_0), gives The boundary term tends to zero and both integrals converge by Gaussian domination. Divide by the normalization from step 1.1 and let R→∞ to obtain E p_i²=1/(2a)=mE_0/b. Therefore E K=Σ_i E p_i²/(2mE_0)=d/(2b).
At t=0 the centered log MGF is zero; its derivative is E(g-Eg)=0, using the means in step 2.1. Its second derivative is finite and continuous by step 1.2. Taylor's theorem at zero then gives c_g(t)=c_g''(ξ_t)t²/2=O(t²) near zero.
Measurable information contraction and Pinsker bound
Statement
Assume AC. Let be probability measures on a measurable space and let be a measurable map to another measurable space. Then The entropy convention is the directional KL definition of Kullback–Leibler divergence, and the total-variation convention is the event-supremum convention of Total variation distance for probability laws. The inequality remains valid when .
Facts & Assumptions
Given: AC and probability measures on the stated measurable spaces.
Relative Entropy Variational, Chain, and Conditioning Rules: for probability measures, , where denotes bounded real measurable functions.
Pinsker’s inequality with event-supremum total variation: under AC and the event-supremum convention , for all probabilities, including the extended-entropy case.
Kullback–Leibler divergence and Total variation distance for probability laws: fix the direction and the event-supremum normalization; no factor of two is inserted in the definition of total variation.
Proof
Given: The hypotheses and supplier conventions in Facts & Assumptions.
For each bounded measurable target test , the pullback is bounded and measurable. Thus and . The variational formula [F1] bounds the target objective by the supremum over all bounded source tests, which is . Taking the target supremum proves data processing.
Apply the imported theorem [F2] with the precise event-supremum convention [F3]. It gives the displayed square-root constant without changing normalization. When , the right side is and the inequality is automatic.
Interacting marked phase-space and reference measures
Definition
Assume AC. Fix and let be the numerical even Borel pair potential. Assume the stability, cell-superstability, lower-regularity, and decreasing-integrable-tail conditions of Stability, superstability and regular tails, with its fixed cell side , and the superstable regular interaction, unit-coordinate, and periodic-image conventions of Superstable regular pair interactions and configurational ensemble notation. These are model hypotheses; the definitions do not prove that a particular material satisfies them. Use the finite-region phase-space and statistical-state conventions of Statistical states, densities, observables and expectations.
Let joules be the energy unit, metres the length unit, kilograms the particle mass, and kg m s the momentum reference. A physical position vector in metres has dimensionless numerical coordinate . From here on, denotes a finite configuration of these numerical coordinates, so the physical cube has side and its points are . Each momentum mark is an SI momentum vector in kg m s. Write for numerical volume. Fix also a primitive positive scalar conversion parameter with units J K, called the Boltzmann constant: the thermal-energy scale assigned to temperature is joules. Its value is fixed as part of the model data, not derived by this mathematical definition. If kelvin, put in J and .
The potential in the two interaction suppliers is numerical in units of and takes dimensionless displacements as input. For a physical displacement measured in metres, its pair-potential map is joules. For a finite positional configuration , set using Superstable regular pair interactions and configurational ensemble notation, and set using that item's periodic-image sum. The periodic definition is used only for periods for which that sum is defined; the large- results below use sufficiently large periods as supplied there. Thus is the dimensional pair energy in either boundary convention.
Let be the unit-intensity Poisson probability on positional configurations in , defined by Poisson Configuration Reference. Its -particle conditional law is uniform on the unordered simple -point configurations; in labelled coordinates it is on the no-collision set. A finite marked configuration in this sector is a simple set with , , and . Equip the finite marked sector with the sigma-algebra generated by the counts for bounded Borel and Borel . Let be Lebesgue measure on the SI numerical momentum coordinates and set . For each fixed , define as the image of under ; this is independent of the enumeration of because is permutation-invariant. The cell-code representation in Poisson Configuration Reference supplies a measurable enumeration on each finite sector, so is a measurable kernel for the marked-count sigma-algebra. The finite phase reference is It is sigma-finite, meaning the marked sector is covered by countably many measurable sets of finite reference measure: for each integer , restrict to marks satisfying for every one of the points. These sets exhaust the sector, and their reference measures are at most , where satisfies because it lies in the box of Lebesgue volume by the box-volume supplier in the dependency closure of Poisson Configuration Reference. The factor from the Poisson sector is retained. In physical coordinates the corresponding one-particle product scale is , an action to the power ; it is a reference convention, not a derived quantum constant.
For a marked configuration define the total dimensionless energy The corresponding physical Hamiltonian is joules, so . For , Gaussian mark normalization, moments, and exponential controls gives and the probability kernel . Whenever the positional canonical partition is finite and positive, nonnegative product integration Tonelli's theorem for nonnegative measurable functions on a sigma-finite product gives exact identities Here and the canonical probabilities are the normalized respective integrands. Under a full grand preparation of activity , integrating each momentum changes the positional activity to ; thus a positional activity corresponds to . These are exact definitions and normalizations; they do not assert dynamical equilibration or finite-volume grand convergence. Write for the periodic position space, represented by ; translations act modulo , and the translation-average is Lebesgue measure on divided by . For periodic boundary conditions, simultaneous translation of all positions modulo the period preserves and : the conditional position law is uniform on , the mark reference is invariant under relabelling points, and the image energy depends only on pair displacements. Hence normalized canonical and finite band restrictions are invariant under every such translation.
Marked periodic continuation and local restriction
Definition
Let be the positional configuration space of Poisson Configuration Reference. The marked configuration space consists of marked point sets with spatial projection that is simple and locally finite, and with exactly one mark paired to each . Its sigma-algebra is generated by the marked counts for bounded Borel and Borel . The positional projection is . For a bounded Borel set , the marked local restriction is with the induced count sigma-algebra; write . A marked-local observable on is a real measurable function of ; it is bounded when its supremum norm is finite.
Let , , and . A finite marked configuration consists of a finite simple set of positions and a mark map , as in Interacting marked phase-space and reference measures. Its marked periodic continuation is The spatial positions in this set are distinct: if for , then coordinatewise forces and . Every bounded spatial region meets finitely many lattice translates of the finite set , so the continuation has a locally finite spatial projection.
For a bounded Borel set , define its marked local restriction by This is an element of , with the induced sigma-algebra of marked counts above. If , the restriction is exactly the original marked points with positions in .
Existence of the independent Gaussian-marked positional lift
Statement
Assume AC. Let be any probability law on the simple locally finite positional configuration space of Poisson Configuration Reference, and let be a probability on the momentum mark space . Use the marked configuration space and local restrictions of Marked periodic continuation and local restriction. Define translations by and . Then there is a unique probability law on whose positional projection is and whose marks, conditional on the entire positional configuration, are independent with common law . If is translation invariant, meaning for every , then for every . For the Gaussian of Interacting marked phase-space and reference measures, this is the independent Gaussian-marked positional lift. This is a mathematical marking construction, not a physical preparation or a convergence result.
Facts & Assumptions
Given: A probability law P on Ω and a probability mark law ν on R^d.
AC is required by the standard-Borel coordinate extension used below (The Axiom of Choice).
Poisson Configuration Reference: Ω has countably many unit-cell coordinates; each cell is a finite configuration represented by its count and lexicographically ordered point list, and its sigma-algebra is generated by Borel count maps.
Marked periodic continuation and local restriction: Ω^mark has the marked-count sigma-algebra, positional projection, and finite-region restrictions ξ_Δ used in the statement.
Gaussian mark normalization, moments, and exponential controls: in the marked model, the normalized Gaussian kernel ν_b is a probability on R^d.
Assuming the Axiom of Choice, Kolmogorov extension for arbitrary families of standard Borel coordinate spaces: the consistent finite-dimensional product laws ν^{⊗J}, for finite J in a countable index set, extend uniquely to a probability on the countable product.
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 with P exists, and section integrals of nonnegative measurable functions are measurable.
Proof
Given: The positional probability P and mark probability ν above.
Let I=Z^d×N index one potential mark slot for each cell and each within-cell rank. For finite J⊂I prescribe the mark law ν^{⊗J}. These laws are consistent under coordinate restriction and are probabilities because ν is a probability by the Given hypothesis, so [F4] gives a probability ν^I under [A1]. The product probability P⊗ν^I exists by [F5].
For each cell i, write its finite positional list as x_{i,1},...,x_{i,N_i}, in the measurable lexicographic code of [F1]. Define Ψ(q,p) by pairing x_{i,k} with p_{i,k} for every i and 1≤k≤N_i(q). Every bounded spatial region meets finitely many unit cells, and each list is finite, so Ψ(q,p) is locally finite and simple in its positions. By [F2], it belongs to Ω^mark. For bounded Borel spatial A and Borel momentum set C, its marked count is the finite sum Each summand is measurable in the cell code and mark coordinate by [F1, F4], so Ψ is measurable for the sigma-algebra generated by these counts from [F2]. Its pushforward of P⊗ν^I is the required law P^mark.
Given q, each occupied point uses a distinct coordinate of the product ν^I, so its finite mark families have product law ν^{⊗J}, independent of q. This proves the conditional independence property and fixes every finite marked-count cylinder probability. Those cylinders generate the marked configuration sigma-algebra by [F2], so any law with the same position marginal and conditional product kernel agrees with the pushforward in step 2.1 on a generating class and is identical. Thus the lift exists and is unique. By [F3], the Gaussian kernel ν_b of the model is an admissible probability choice for ν. For each y, the map T_y^mark is measurable because it sends the count N_{A×C} to N_{(A-y)×C}. If P is translation invariant, translating the constructed law by y leaves its positional marginal P and its conditional independent mark kernel ν unchanged; uniqueness therefore gives (T_y^mark)_#P^mark=P^mark.
Total-energy concentration and controlled canonical windows
Statement
Assume AC, the ultrafilter extension principle, DC, and HB. Use the model and dimensionless energy of Interacting marked phase-space and reference measures. Let , , and integers satisfy , where is an interior attainable density for the positional canonical rate. Fix . Assume is the periodic exact-particle log-partition rate supplied by Periodic fixed-particle canonical limit for every in a neighborhood of , and is differentiable at . Write for the full fixed- canonical law, and define Then, for each fixed , there exist and such that Consequently there is a nonincreasing sequence for which the full phase band has . It has positive finite phase-reference measure for all sufficiently large . This constructs a controlled shrinking window; it makes no claim about every prescribed shell width or an exact energy surface.
Facts & Assumptions
Given: The interaction assumptions in Interacting marked phase-space and reference measures, , the exact- sequence, the interior-density condition, and differentiability of at the selected .
Differentiability at is an additional hypothesis of this item; it is not inferred from stability or from the existence of the partition limit.
AC, the ultrafilter extension principle, DC, and HB are the exact choice hypotheses of the periodic fixed-particle supplier (The Axiom of Choice, The ultrafilter extension principle (UL/BPI), The axiom of dependent choice: a relation in which every element is related to something admits an -indexed chain, The real dominated-extension principle as an additional hypothesis over ZF).
Periodic fixed-particle canonical limit: at an interior attainable density, the periodic exact- positional log partition divided by volume tends to for every sequence and every fixed ; its hypotheses include the four choice principles in [A2].
Gaussian mark normalization, moments, and exponential controls and Interacting marked phase-space and reference measures: the momentum integral is and .
Stability, superstability and regular tails and Superstable regular pair interactions and configurational ensemble notation: stability gives and makes the phase band finite in the finite region when its total energy is bounded above.
Proof
Given: The hypotheses and exact conventions in Facts & Assumptions.
Integrating the marks in Interacting marked phase-space and reference measures gives the canonical marked partition as . The exact- positional sector of the unit-intensity Poisson reference contributes the common factor relative to the Lebesgue partition; it cancels in the ratio of marked partition functions. By [F1], for each fixed with , by [F1, F2]. Differentiability and the explicit Gaussian factor give and .
Fix . By the derivative at zero, choose a sufficiently small fixed so . On the upper event, , so integrating this pointwise inequality gives its logarithm divided by tends to that strictly negative number, so it is at most in the exponent for some and all large . Choose a sufficiently small fixed instead; on one has , so integrating this lower-tail pointwise bound gives an exponent with limit . Taking the smaller positive decay constant proves the two-sided bound.
For each integer , the fixed-width conclusion of step 2.1 supplies an integer increasing strictly such that for all the probability outside width is at most . Let for , and put ; assign any positive nonincreasing values before . Then , so , and the probability outside tends to zero. Since the canonical density is strictly positive at every finite-energy point, for large implies positive reference measure. On , by stability [F3]; the momenta thus lie in a bounded Euclidean ball, while positions lie in a finite cube. The sigma-finite product reference in Interacting marked phase-space and reference measures assigns finite measure to that bounded sector, so the band has finite reference measure.
Classical full-phase interacting ensemble preparations
Adopted single-species classical massive-particle preparations for the specified superstable regular pair model and its explicitly matched phase reference; no assertion of dynamical equilibration, measured accuracy, or finite-volume grand convergence.
Postulate
Fix the model, physical reference conventions, mass, potential and energy window specified by Interacting marked phase-space and reference measures and Total-energy concentration and controlled canonical windows. This is a single-species model on the flat torus of side , represented by . Identify the action reference of Classical particle counting and physical observables with from the marked model, and take the controls in Canonical thermal preparation. Its physical Hamiltonian is from Interacting marked phase-space and reference measures, so . In the corresponding canonical coordinates, the exact- reference of that mathematical model is , where is the one-species quotient reference of Classical particle counting and physical observables. The factor is independent of and cancels when normalizing a fixed- canonical law, a fixed- band restriction, or the full grand-sector law. Adopt the following alternative preparations whenever their normalizations are finite and positive:
- At fixed exact particle number , controls and , use the canonical density proportional to relative to the declared phase reference, as in Canonical thermal preparation.
- For a sequence satisfying all hypotheses of Total-energy concentration and controlled canonical windows—including AC, the ultrafilter extension principle, DC, HB, an interior attainable density, the periodic exact-particle log-rate hypothesis near , and differentiability at —at fixed exact use the uniform full-phase reference law restricted to its constructed band . “Uniform” means normalized restriction of that finite reference measure; it is an energy-window preparation, not a zero-width surface measure. This postulate makes no existence claim for that specific band when those theorem hypotheses fail.
- For particle exchange, use the countable-sector grand preparation of Grand canonical particle-exchange preparation. Its full dimensionless activity is the fugacity , where in J and the chemical potential is in J per particle. When matching positional activity at inverse temperature , choose , as in Interacting marked phase-space and reference measures.
These laws are adopted statistical preparations. They do not follow from Hamiltonian energy conservation, do not assert that any isolated dynamics reaches these distributions, and do not encode an experimental observation. The band sequence is the particular controlled shrinking window constructed conditionally by Total-energy concentration and controlled canonical windows.
Full uniform phase shell has vanishing specific canonical KL
Statement
Assume AC and the hypotheses and notation of Total-energy concentration and controlled canonical windows. Let be the finite phase reference of Interacting marked phase-space and reference measures, let be the constructed band, and set . Let be the full fixed- canonical probability. Then satisfies . This is a mathematical statement about a normalized measure restriction; it does not assert or global total-variation convergence.
Facts & Assumptions
Given: AC, the finite-reference phase measure, the canonical law, stability, and the window hypotheses.
AC is used by the conditional entropy chain rule (The Axiom of Choice).
Total-energy concentration and controlled canonical windows: , , and is a finite positive-reference-measure energy band at fixed .
Interacting marked phase-space and reference measures: relative to phase reference , has density ; by the definition in the Statement, .
Relative Entropy of Probability Measures and Conditional entropy chain and disjoint-block bounds: relative entropy is nonnegative and the exact directional convention is .
Proof
Given: The hypotheses and supplier definitions above.
On A_n, the density of M_n^ph relative to C_n^ph is Z_n e^{bH}/R_n(A_n). Therefore The lower band edge gives
The upper band edge gives . Substituting the step 1.1 lower bound for yields Relative entropy is nonnegative by [F3]; since and by [F1], this proves .
Full phase shell marginal satisfies the positional variational bound
Statement
Assume AC, the ultrafilter extension principle, DC and HB, the exact superstable regular pair interaction and periodic-image convention of Interacting marked phase-space and reference measures, and integer side lengths with exact particle numbers at an interior attainable density. Fix . Assume the positional canonical log rate is , and choose finite with where is the grand pressure per numerical volume with Lebesgue normalization. Let the positional grand variational minimizer of Superstable regular continuum grand pressure and variational formula at activity and inverse temperature be the singleton . Let be the phase reference of Interacting marked phase-space and reference measures, let be the band of Total-energy concentration and controlled canonical windows, set , and let be its positional marginal. For any local-tame test , write and , where is the periodic continuation. Let be the barycenter of under . Then converges to in , equivalently for every local-tame ; also for every such . The periodized empirical fields of the exact- canonical laws converge in probability in to by Periodic fixed-particle canonical limit, and has intensity . Here is an infinite-volume positional variational state; no finite-volume grand-canonical local convergence or DLR identification is asserted.
Facts & Assumptions
Given: The choice hypotheses, model, exact-N_n sequence, shell law, interior density, supporting activity and singleton minimizer in the Statement.
AC, the ultrafilter extension principle, DC and HB are exactly the choice hypotheses assumed by the current local-tame compactness, continuum pressure and periodic fixed-N suppliers.
Full uniform phase shell has vanishing specific canonical KL: D(M_n^ph || C_n^ph)=o(V_n) for the specified full phase band and canonical reference.
Superstable regular pair interactions and configurational ensemble notation and Cell-quadratic lower bound from superstability: for the unit cells , with their point counts, every finite configuration has for fixed , and stability gives . Applying the same stability inequality to a two-point configuration gives for every nonzero separation . The periodic versions used below are proved by period replication in step 2.1.
Diagonal gap for a decreasing integrable interaction tail: the regular tail has a nonnegative summable unit-cell envelope whose tail sum tends to zero, and supplies real corridor widths with .
Periodic fixed-particle canonical limit: at an interior density the exact positional 1/N! canonical log-partition rate is F_b(ρ) for the chosen sequence; the theorem also supplies canonical empirical-field concentration near the positional variational minimizers.
Compactness of Finite-Specific-Entropy Levels in the Local-Tame Topology and Specific Relative Entropy Density: bounded specific entropy gives compactness in τ_L, and I(P) is the large-cube relative-entropy limit and is lower semicontinuous there.
Superstable regular continuum grand pressure and variational formula and Canonical–grand-canonical thermodynamic duality: normalized-Poisson pressure is -min_P{I(P)+bΦ(P)-ρ(P)α}, the Lebesgue 1/N! pressure is one larger, and the supporting equality makes the minimum 1-F_b(ρ)-αρ; Φ is lower semicontinuous.
Total-energy concentration and controlled canonical windows and Interacting marked phase-space and reference measures: the band has finite positive reference measure and is contained in the energy window with ; its normalized restriction defines , and the finite canonical and band laws are invariant under torus translations.
Relative Entropy Variational, Chain, and Conditioning Rules: finite-region relative entropy obeys the conditional chain rule, restriction contraction, its bounded-test variational formula, and nonnegativity. For the finite- chain rules use the common labelled-coordinate representation from [F11]; its position and mark spaces are standard Borel.
Periodized empirical field of a finite configuration and Stationarity and intensity of a periodized empirical field: a finite torus configuration determines a stationary empirical field of intensity ; for a finite-volume law , its empirical-field barycenter is stationary with intensity . Its evaluation on an integrable local-tame is measurable and equals the spatial average .
Poisson Reference Counts and Translation Invariance: restrictions of the unit-intensity Poisson law to disjoint bounded Borel sets are independent, and the probability of an empty region of volume is .
The exact- configuration space in the integer cube is a standard-Borel Borel subset of the finite product of the standard-Borel cell spaces in Poisson Configuration Reference. The exact results used from its current mathematical dependency closure are Finite products of standard Borel spaces are standard Borel, Borel subspaces admit polish presentations, Assuming the Axiom of Choice, Kolmogorov extension for arbitrary families of standard Borel coordinate spaces, and For sigma-finite factors, the product measure exists, has the rectangle formula, is sigma-finite, and is unique. Equivalently, for finite- entropy chain rules use labelled positions in the Borel no-collision subset of and marks in ; these are standard Borel, and the common symmetric labelled densities retain the same factor, which cancels in likelihood ratios. The countable product law of independent tile configurations exists by the Kolmogorov extension result in that closure, and its product with the uniform lattice phase exists by the sigma-finite product-measure result there.
Proof
Given: The hypotheses and exact current suppliers in Facts & Assumptions.
Put D_n=D(M_n^ph || C_n^ph), and let B_n be the positional marginal. The conditional chain rule gives so D(B_n||C_n^pos)≤D_n by the conditional chain rule [F8]. The canonical positional density relative to full Poisson probability Q_Λn is 1_{N=N_n} exp(-bU_n,per)/Z_Q,n^pos, where Z_Q,n^pos=exp(-V_n)Z_n,N_n^pos. Integrating the log likelihood against B_n gives By [F1] and [F4], V_n^-1 log Z_Q,n^pos→F_b(ρ)-1; hence the right side divided by V_n has limsup at most 1-F_b(ρ).
For every sufficiently large , the periodized-image series is absolutely convergent by [F3]. Given a finite in the shell, form . Since is an integer, its unit-cell occupation pattern repeats exactly times. In the pair sum for , each fixed image offset has multiplicity factor , which tends to and is bounded by . For finite periodic energy, absolute convergence lets us first restrict to finitely many offsets with arbitrarily small omitted absolute tail; the factors converge on that finite set and keep the omitted tail bounded, so . If any image term is , the desired lower bound is automatic. Applying [F2] to , dividing by , and taking the limit proves ; the same replication applied to the stability bound proves . On the full shell from [F7], . The periodized cell bound yields , uniformly bounded. Because is an integer, its torus is tiled by unit cells; torus translation invariance makes all equal, so each is bounded by the preceding sum divided by . Cauchy–Schwarz then gives a uniform bound for every pair of cells. For the negative pair terms, each bounded-distance cell has finitely many neighboring cells and each term is bounded below by by [F2]; for remaining offsets, [F3] supplies the summable envelope . Hence the expected sum of negative pair magnitudes is , and so is the total negative part of . The shell upper bound on then gives . Since the sum of positive pair terms equals plus the sum of negative pair magnitudes, its expectation is also . Therefore .
Let be the real corridor width supplied by [F3] at , and set . Then and , and is an integer. By [F11], take independent tile configurations with law on and independently choose a uniform phase in . The map from these data to the union configuration is measurable: for each bounded Borel observation set, only finitely many tile indices can meet it, and each resulting count is a finite sum of Borel indicators of the finite cell-coordinate lists. Thus the constructed law is well-defined and locally finite. Translating the phase preserves its uniform law and only relabels the independent, identically distributed tiles, so is translation-stationary. Put . Its intensity is . For a fixed local-tame test supported in a bounded set , choose larger than its coordinate diameter. The random phase puts wholly inside an occupied tile with probability at least . On this event torus translation invariance of gives exactly its local law. For any Borel set , torus invariance and the exact count give The first equality uses invariance; for each fixed configuration, the integral in the numerator sums over its points, and each point lies in for a set of translations of measure . Apply this identity to each occupied portion of on the bad phase set; gap portions contain no points. The phase-averaged expectation of on that set is at most its probability times . Since and is bounded, .
Fix and a lattice phase, and restrict to a large observation cube. Its intersections with complete occupied tiles have independent laws ; its gap pieces are empty; and only tile intersections meet the observation boundary. The Poisson restrictions on these disjoint pieces are independent by [F10]. For each complete occupied tile, the relative entropy is ; restriction contraction [F8] bounds each boundary-tile contribution by this same finite value. An empty gap piece has entropy . Product additivity follows by iterating the chain rule [F8]. For the mixture over the uniform phase, integrate the variational objective from [F8] for any bounded test and bound it by the phase-average conditional entropy; taking the supremum shows the mixture entropy is at most that average. Divide by observation volume and let the cube grow: the complete-tile density tends to , the gap-volume density to , and the boundary contribution to zero. The specific-entropy limit exists by [F5], so For the energy comparison, assign half of each pair term to each endpoint cell. Step 2.1 gives uniformly, a bound on the total negative pair magnitude, and a bound on the total positive pair sum: the latter is the total energy plus the negative pair magnitude, hence is bounded by the positive part of the total energy plus that magnitude. Fix . Periodic-image pairs of torus separation at most that are absent from the finite-tile free energy cross a tile face; their endpoints lie in a boundary strip of width containing unit cells. The negative contribution per such cell is bounded by the finite number of near offsets, from [F2], and the pair-count bound; the expected positive contribution per cell is bounded by the total positive pair-sum estimate and torus translation invariance. Thus the expected absolute fixed-range discrepancy divided by is . For remaining pairs, [F3] bounds the expected absolute energy per volume by , tending to zero as . Cross-tile pairs have separation at least ; the same tail bound with cutoff tends to zero as . Taking first at fixed and then therefore gives . Combining the entropy bound, step 1.1, and gives Here the gap fraction vanishes because .
Stability gives , so step 4.1 bounds . Compactness [F5] supplies a convergent subsequence from every subsequence. If is a cluster point, intensity is continuous in because the unit-cell count is a local-tame test, hence . Lower semicontinuity and step 4.1 give . Subtract and apply the variational lower bound and exact minimum [F6]; must attain the grand variational minimum. The singleton hypothesis forces . Thus every cluster point is , compactness gives , and step 3.1 gives for every local-tame . By [F9], is stationary with intensity , and torus invariance gives ; therefore in . For the exact- canonical law , [F4] says its periodized empirical field converges in outer probability in to . For a local-tame with , [F9] makes measurable and gives , uniformly in . Thus in probability and the variables are uniformly bounded; for each , for a common bound , so . Torus translation invariance and [F9] identify . Hence the exact- canonical positional local expectations also converge to .
Spatial random-occupation conditional mark entropy bound
Statement
Assume AC and the hypotheses of Full phase shell marginal satisfies the positional variational bound. Let be the normalized phase-reference restriction to , and let be its positional marginal. Given the full position configuration , let be the shell conditional law of marks on the marked local restriction of Marked periodic continuation and local restriction. By torus translation invariance, represent any bounded Borel region by a fixed translate inside for all sufficiently large . Choose an axis-parallel half-open cube of side , independent of , and pack disjoint translates of into the periodic cube, so . For the independent Gaussian mark reference of Interacting marked phase-space and reference measures, Thus the left side tends to zero. When itself is an axis-parallel half-open cube, take to obtain the stated packing rate . Occupancy is random; the comparison is for the full spatially selected set of particles, not a fixed set of labels.
Facts & Assumptions
Given: AC, the shell and canonical phase laws, standard-Borel finite-region restrictions, a fixed bounded Borel region, and the Gaussian mark kernel.
AC is used in the conditional-law and entropy-chain results (The Axiom of Choice).
Interacting marked phase-space and reference measures and Full phase shell marginal satisfies the positional variational bound: conditional canonical marks are ; the shell conditional kernel is obtained by restricting the finite mark reference to its energy band; the shell law is invariant under torus translations.
Poisson Configuration Reference and Marked periodic continuation and local restriction: finite configurations have measurable cell counts and lexicographic coordinate codes; marked periodic restrictions to bounded regions are finite and measurable, so after conditioning on positions each block is a finite-dimensional standard-Borel coordinate space.
Conditional entropy chain and disjoint-block bounds: relative entropy against a product reference is at least the sum of disjoint-block conditional mark divergences.
Measurable information contraction and Pinsker bound: measurable restriction of a mark vector cannot increase its relative entropy against the corresponding product reference.
Full uniform phase shell has vanishing specific canonical KL: full shell-to-canonical relative entropy is finite and .
Proof
Given: The hypotheses and definitions above.
The phase reference has a measurable density. For each , integrate the band indicator over the -mark reference; Tonelli gives a measurable normalizer. On the -full set where it is positive, division gives the conditional kernel ; choose a fixed probability kernel on the null complement. The conditional chain rule, nonnegativity of the positional divergence, and [F3] give
For each , partition its finitely many points into those in each of the disjoint translates packed in the periodic cube, plus the remainder. This is a measurable finite partition; ordering the points by the cell codes in [F2] identifies each block with a finite-dimensional standard-Borel mark space, even though its size depends on . The Gaussian product reference factors over these disjoint sets. Applying [F3] conditionally gives where an empty block contributes zero. Joint torus-translation invariance transports each block law and its reference kernel, so the integrated divergence is the same for every translate. Averaging and discarding the nonnegative remainder term bounds the divergence for a chosen translate of by .
For , restriction of the ordered mark vector on to the points in is measurable. Data processing [F4] gives for -almost every . Integrating and applying step 2.1 bounds the left side by . By [F5], , while ; therefore the bound tends to zero.
Full interacting shell, canonical, and variational-grand local marked equivalence
Statement
Assume AC and the hypotheses and notation of Full phase shell marginal satisfies the positional variational bound, including its AC, ultrafilter extension principle, DC, and HB assumptions. Fix a bounded Borel region and use the marked periodic continuation and local restriction defined in Marked periodic continuation and local restriction. By translating and the spatial argument of together, take a representative with ; then for all sufficiently large . This translation preserves the expectations because the finite laws are torus-translation invariant and the limiting independent mark lift of the stationary positional state is stationary. Let be the uniform full-phase band law, the exact- full canonical law, and the singleton positional grand variational minimizer. Give points of independent marks with kernel of Interacting marked phase-space and reference measures, and denote the resulting infinite marked law by , whose existence is supplied by Existence of the independent Gaussian-marked positional lift. For finite-volume expectations, evaluate on the restriction ; under , evaluate it on . Then for every bounded marked-local observable on in the sense of Marked periodic continuation and local restriction, The matched full grand activity is by the normalization identity in Interacting marked phase-space and reference measures; is the independent-Gaussian marked lift associated with that positional variational minimizer. If additionally , shell convergence also holds for . This is fixed-region convergence, not uniform over growing regions or arbitrary unbounded momentum observables. No finite-volume grand-canonical convergence or DLR converse is asserted.
Facts & Assumptions
Given: The interaction, density, temperature, band, and singleton-minimizer hypotheses from Full phase shell marginal satisfies the positional variational bound.
AC is also required by Pinsker's inequality and the countable-coordinate marked-lift construction (The Axiom of Choice).
Spatial random-occupation conditional mark entropy bound: for each fixed Δ, the average conditional mark relative entropy on points spatially inside Δ tends to zero, although their number is random.
Measurable information contraction and Pinsker bound: measurable restrictions decrease KL divergence, and event-supremum total variation is at most sqrt(D/2).
Full phase shell marginal satisfies the positional variational bound: for every local-tame , the shell and exact- canonical expectations of on the periodic continuation converge to ; the shell empirical-field barycenters converge to in , and canonical empirical fields converge in probability there.
Interacting marked phase-space and reference measures: canonical marks are independently ν_b-marked, and the full activity corresponding to positional activity exp(α) is exp(α)/κ_b.
Existence of the independent Gaussian-marked positional lift and Marked periodic continuation and local restriction: the independent mark kernel defines a unique marked lift of and preserves stationarity, the local observable is measurable on the finite restriction , and finite-torus restrictions use the explicitly defined marked periodic continuation.
Local-Tame Topology: every measurable local function bounded by a constant times is local-tame; in particular every bounded measurable local observable and each bounded indicator of a local count value is an admissible positional convergence test.
Superstable regular continuum grand pressure and variational formula: its minimization is over stationary finite-intensity positional laws; hence the variational minimizer is stationary.
Proof
Given: The hypotheses and exact supplier interfaces in Facts & Assumptions.
Let be the shell positional marginal and let sample followed by independent marks. Form two augmented laws on (all positions , marks attached to ): the first is the corresponding marginal of and the second is that of . Conditional on , their mark laws are and . The relative-entropy chain rule therefore makes the augmented divergence exactly the conditional KL average in [F1]. Restricting the augmented observation to positions and marks in is measurable; data processing and Pinsker [F2] show that the local marked restrictions of and have total variation tending to zero. For bounded , the expectation difference is at most times this event-supremum distance, hence tends to zero.
Integrate against the finite product marks at fixed local and call the result . The lift construction [F5] gives this measurable kernel and its infinite marked law; since is bounded, . By [F6], is local-tame. Therefore by [F3]. The canonical factorization in [F4] and canonical positional convergence in [F3] give the second limit. By [F4], the matching full activity is ; this identifies the same infinite variational marked state and says nothing about convergence of finite-volume grand laws.
Suppose |G|≤C(1+N_Δ). By [F6], bounded indicators of each count value are local-tame, so their probabilities converge under B_n by [F3]; the mean count also converges because N_Δ is local-tame. For integer K, E_{B_n}(N_Δ-K)^+=E_{B_n}N_Δ-E_{B_n}(N_Δ∧K); for fixed K this converges to the corresponding P_* expectation. If N_Δ>2K, then N_Δ≤2(N_Δ-K), so E[N_Δ1_{N_Δ>2K}]≤2E(N_Δ-K)^+. First take limsup over n, then K→∞; integrability of N_Δ under P_* makes this tail vanish. Indeed P_* is stationary with finite unit-cell intensity by [F7], and bounded Δ meets only finitely many unit cells. This proves uniform integrability of 1+N_Δ under B_n. The shell and Gaussian lift have the same local count law. The limiting marked lift has the same local count as P_*, so its tail also vanishes. Truncate G to N_Δ≤K; it is bounded, so step 1.1 applies. Both finite-volume omitted tails are bounded by C E[(1+N_Δ)1_{N_Δ>K}], uniformly vanishing as K→∞. Let n→∞ and then K→∞ to obtain the claimed shell limit.
Local kinetic energy and first and second momentum expectations
Statement
Assume AC and the hypotheses of Spatial random-occupation conditional mark entropy bound. Fix a bounded half-open cube ; then for all sufficiently large . By torus translation invariance this placement gives the same limits as any fixed translate of the cube. Let . For and , the full shell law satisfies The corresponding canonical and marked variational-grand laws have the same limits by their independent Gaussian marking. Momentum is in kg m s^-1, E_0K is in joules, and b=E_0/(k_BT) is dimensionless. These conclusions concern only the named moments, not every unbounded mark observable.
Facts & Assumptions
Given: A fixed cube, the model and Gaussian kernel, the shell and canonical laws, and the local conditional KL bound.
AC is used in the relative-entropy variational inequality (The Axiom of Choice).
Spatial random-occupation conditional mark entropy bound: expected conditional KL for the marks attached to points in , relative to , tends to zero.
Gaussian mark normalization, moments, and exponential controls: for g=K,p_i,p_ip_j the centered log moment-generating function c_g(t) is finite near zero and O(t²); the respective means are d/(2b), 0, and (mE_0/b)δ_ij.
Total-energy concentration and controlled canonical windows and Interacting marked phase-space and reference measures: the shell is supported on , stability bounds the positional energy below, and the positional shell and canonical laws are torus-translation invariant.
Relative Entropy Variational, Chain, and Conditioning Rules: for every bounded measurable h, D(P||Q)≥P(h)-log Q(e^h).
Full phase shell marginal satisfies the positional variational bound: the exact-N positional canonical expectations of every local-tame test, including , converge to , and is local-tame.
Existence of the independent Gaussian-marked positional lift: has a probability lift whose marks, conditional on positions, are independent with law .
Proof
Given: The stated assumptions and supplier definitions.
Fix one named and write . For positive in reciprocal units to , the unbounded test is dimensionless; define and first use this bounded truncation in [F4]. The bounds and , together with shell integrability from [F3] and the Gaussian exponential moment [F2], permit dominated convergence as . Since and is finite near zero, the reference exponential moment is finite at each . Thus the variational inequality extends to and gives for sufficiently small t>0. Testing with -tS_Δ gives the analogous inequality for -E S_Δ and c_g(-t). The integrals are finite: the shell bounds total kinetic energy at each n, and the Gaussian exponential moments exist by [F2]. Averaging over B_n yields
For any fixed exact- configuration on the torus, averaging over all torus translations gives : each of its points is translated into for a set of translation parameters of Lebesgue measure . Translation invariance of and therefore gives . For fixed , the first numerator term in step 1.1 vanishes by [F1]. The limsup is at most ; this tends to zero as because by [F2]. Hence . Adding and substituting the three means in [F2] proves the shell formulas. By [F5], . Conditional independent marking [F6] gives the same three limits for the variational-grand marked law; the exact canonical law has them by independent marking as well.
Physical interacting local phase-space ensemble bridge
Conditional predictions for fixed marked local observables and the named momentum moments in the adopted single-species classical preparation model; no equilibration, experiment, material fit, finite-volume grand limit, or universal shell-width claim.
Statement
Under the hypotheses and adopted preparations below, shell and exact-N canonical expectations of every fixed bounded marked-local observable converge to the same Gaussian-marked positional variational state. The shell also has the kinetic-energy, first-momentum and second-momentum expectation limits stated in Local kinetic energy and first and second momentum expectations. This is a conditional deduction from the model assumptions, not an observation or an equilibration claim.
Facts & Assumptions
Given: AC, the ultrafilter extension principle, DC and HB; an integer dimension ; integer side lengths , , and exact particle numbers with at an interior attainable density; kelvin, J K, in J, and ; the superstable regular interaction with periodic boundary condition ; existence of the positional canonical log rate for every in a neighborhood of , differentiability at , a finite supporting with , and a singleton positional grand variational minimizer. Adopt the single-species preparations of Classical full-phase interacting ensemble preparations under the exact conditions stated there. By that postulate and Interacting marked phase-space and reference measures, the finite-volume physical Hamiltonian is , and the physical preparation laws match the normalized mathematical canonical and band laws. Here is the positive position unit in metres, the positive energy unit in joules, the positive mass in kilograms, the positive momentum reference in kg m s, and the local region is fixed in dimensionless coordinates. The numerical intensity corresponds to physical number density in m.
The full phase-band, canonical, and grand laws are adopted preparations under Classical full-phase interacting ensemble preparations; no dynamical or empirical premise is added.
AC, the ultrafilter extension principle, DC, and HB are the mathematical choice hypotheses carried by the positional convergence suppliers (The Axiom of Choice, The ultrafilter extension principle (UL/BPI), The axiom of dependent choice: a relation in which every element is related to something admits an -indexed chain, The real dominated-extension principle as an additional hypothesis over ZF).
Full interacting shell, canonical, and variational-grand local marked equivalence: shell and exact-N canonical expectations converge for each fixed bounded measurable marked-local observable to the same Gaussian-marked positional variational state; shell convergence also covers |G|≤C(1+N_Δ).
Local kinetic energy and first and second momentum expectations: shell expectations of local kinetic energy and the first and second momentum sums have the stated limits.
Interacting marked phase-space and reference measures: integrating the finite-volume grand preparation's momentum factors maps full activity to positional activity . Thus the activity matching is ; this normalization identity makes no finite-volume grand-convergence claim.
Proof
Given: The hypotheses and adopted preparation above.
A fixed bounded marked-local observable is bounded on its named region, so [F1] applies directly to shell and canonical preparations. Their common limiting law is the independent Gaussian mark lift of the positional grand variational minimizer . The finite-volume normalization in [F3] identifies the full-grand activity that matches positional activity as ; it does not assert convergence of finite-volume grand preparations.
For the named momentum-moment limits, fix a bounded half-open cube , or any fixed translate of such a cube, as in [F2]. Apply [F2] on this cube. Restoring units multiplies dimensionless kinetic energy by and uses ; the local kinetic-energy limit is joules. The first momentum sum tends to zero, and the momentum-product sum tends to in SI units. These are conditional model deductions, not measured values or claims of equilibration.
5 · Examples, experiments and counterexamples
None yet.
Sources
- H.-O. Georgii and H. Zessin, Large deviations and the maximum entropy principle for marked point random fields
- H.-O. Georgii, Probabilistic aspects of entropy, in Entropy
- Daniel Arovas, Lecture Notes on Thermodynamics and Statistical Mechanics, complete course text
- David Tong, Statistical Physics, complete author-hosted lecture notes
- Philippe Rigollet and Jan-Christian Hütter, High-Dimensional Statistics: Lecture Notes, Chapter 4, Lemma 4.8
- H.-O. Georgii, Large deviations and the equivalence of ensembles for Gibbsian particle systems with superstable interaction
- D. Ruelle, Superstable Interactions in Classical Statistical Mechanics