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Interacting Ensemble Geometry
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
- 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
- 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
- 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
This page develops positional continuum statistical mechanics for stable regular pair interactions. It states the configuration, boundary, Poisson-reference, canonical and grand-canonical conventions explicitly, then proves free-cube pressure and interior exact-particle limits before deriving their thermodynamic duality. A superstable branch supplies the stationary entropy-energy variational principle and spatially averaged local-observable equivalence under a singleton minimizer.
The page keeps the hypotheses separated. Canonical limits are asserted at interior attainable densities; close-packing and other endpoints are not supplied by an interior limit. Arbitrary van Hove shapes use the superstable cell-occupation bound. Uniform exterior-pressure comparison uses a genuine positive divergent core and the stated uniformly tempered exterior class. The controlled energy shell is a positional shrinking energy-density window selected by a diagonal argument, not an exact energy surface or a phase-space shell. Normalized Poisson pressure differs from the physical -normalized grand rate by the explicit unit-volume term.
The general decreasing-integrable-tail results assume a monotone integrable envelope. The page does not infer boundary universality from stability alone, does not infer the genuine core from superstability, and does not identify variational minimizers with DLR laws. All thermodynamic statements are conditional mathematical deductions in fixed numerical units; no experimental observation is claimed. The current prerequisite td-math-convex-contact-and-mixing supplies the convex contact and calibration context. The local Periodic preparation and local-tame transfer from entropy bounds makes the periodic-preparation interpretation explicit and transfers entropy-controlled empirical-field limits to periodically continued local-tame laws.
3 · Logical flowchart
4 · Definitions, postulates, theorems and proofs
Van Hove sequence of bounded regions
Definition
Assume countable choice, fix an integer , and use the Euclidean norm from The Euclidean inner product on and the -dimensional Lebesgue measure from Lebesgue measurable sets, the family , and the restricted set function . Countable choice ensures the stated Lebesgue set function is a measure and every Borel set is Lebesgue measurable (The Axiom of Countable Choice (), Assuming countable choice, every Borel subset of is Lebesgue measurable). For , define , with . The topological boundary of is For a Lebesgue-measurable set , write . For a bounded set and , define its two-sided boundary layer where is the Euclidean distance just defined. A van Hove sequence is a sequence of bounded Lebesgue-measurable sets with , , and The boundary is closed, distance to a nonempty set is continuous, and for bounded its -neighborhood is bounded; hence each is Borel and has finite Lebesgue measure (Lebesgue measure is sigma-finite, and every metrically bounded subset of has finite outer measure). The condition controls both inner and outer boundary neighborhoods. It does not impose connectedness, a bounded aspect ratio, smooth boundaries, or a periodic identification.
Superstable regular pair interactions and configurational ensemble notation
Definition
Assume AC. Fix an integer dimension , use the Euclidean norm from The Euclidean inner product on , define , and use the numerical coordinate conventions in Poisson Configuration Reference. A finite configuration is a finite subset with no repeated points; its number of points is . A pair potential is an even Borel function, measurable for the Borel sigma-algebra generated by open sets (The Borel sigma-algebra of a topological space), , where even means . Define The sum is over unordered two-point subsets, so every term is evaluated at a nonzero separation; if any term is , the sum is .
The potential is stable if some satisfies for every finite configuration. It is superstable in the Georgii splitting convention if , where is stable and everywhere and, for some , whenever . It is lower regular if a nonnegative nonincreasing satisfies It is regular if it is lower regular and, for some , whenever . These are the conventions used for the interacting results on this page. A genuine divergent positive core is the separate additional condition that some nonincreasing satisfies for and ; it is not implied by superstability.
For put , , and let be for configurations restricted to . For a regular potential and sufficiently large periodic cubes, periodize by and set interpreting the value as if a positive infinite term occurs. Under this regularity hypothesis, the far image sum is absolutely convergent for all sufficiently large by Diagonal gap for a decreasing integrable interaction tail ↗; this is the image convention used below. With fixed numerical length and energy units, the canonical positional partition is where the tuple notation means when the coordinates are distinct, and on collision diagonals. The integrand is therefore zero on collisions; these diagonals have product Lebesgue measure zero by the no-collision construction in Poisson Configuration Reference, so this convention leaves all partition integrals unchanged. For the empty tuple has energy zero. Here , and the grand partition is for numerical activity . The normalized unit-intensity Poisson version is ; since the Poisson density contributes , . A physical pressure identification is not part of this mathematical definition.
For a probability law on the configuration space of Poisson Configuration Reference, stationarity means for every . When is stationary and (finite intensity), write . Use the finite-region relative entropy defined in Relative Entropy of Probability Measures. If is stable with constant , then , so the negative part of is -integrable for every such . Whenever the limit exists, write In the variational results below, denotes this same positional energy density: . The cited results establish existence under their stated hypotheses; this definition does not assume either limit exists for every stationary finite-intensity law.
Periodized empirical field of a finite configuration
Definition
Assume Countable Choice The Axiom of Countable Choice (). Use the cube and the translation defined in Poisson Configuration Reference. For a finite configuration , let be its periodic continuation. Define its periodized empirical field The integral is the push-forward of normalized Lebesgue measure on under . For any probability law on finite configurations in , define its empirical-field barycenter as the probability mixture for every measurable configuration event . By Tonelli's theorem for nonnegative measurable functions on a sigma-finite product, for a nonnegative measurable test , the mixture identity holds with values in . For a signed local tame from Local-Tame Topology, the finite expectation formula is asserted when . In particular suffices: if a bounded support is contained in a box of side , then uniformly in . The growth bound therefore gives absolute integrability. For stationary laws write , with finite intensity meaning ; this agrees with the finite-intensity convention in Superstable regular pair interactions and configurational ensemble notation. This is a spatial average over the finite box, not the raw finite-volume law viewed at a fixed origin.
Diagonal gap for a decreasing integrable interaction tail
Statement
Let and let be a regular potential with a nonnegative nonincreasing envelope , where and . Thus for . For set Then and Moreover, there is a choice , for all sufficiently large real , such that , , and For every fixed finite configuration and all sufficiently large periods , the noncoincident periodic-image tail is absolutely convergent. The tail of the cell envelope over all sufficiently large integer offsets is summable. This lemma is a deterministic tail estimate; it uses no superstability or thermodynamic-limit conclusion.
Facts & Assumptions
Given: as in the Statement.
The lower regularity convention in Superstable regular pair interactions and configurational ensemble notation supplies a nonnegative nonincreasing tail envelope with finite weighted integral.
Proof
Given: The hypotheses and notation above.
Since is nonincreasing, for : on , , and integration of gives the displayed coefficient. Both the interval integral and the tail integral in tend to zero as , so .
For and , monotonicity gives and . Hence Since , summing over disjoint intervals yields . The term equals , so adding it proves the stated bound because .
For integer , monotonicity gives on , so . Since for these , summing over disjoint unit intervals proves .
For each integer , let be the least integer greater than such that for every ; it exists by step 1.1 and the well-ordering of the positive integers. Choose a strictly increasing sequence with and . For , let and . Then , and , while . Therefore This gives all three gap limits.
Fix distinct points in a finite configuration and a period . For larger than , the triangle inequality gives . Grouping lattice indices by and applying the sum bound of step 1.2 with gap shows whenever . There are finitely many remaining images; any term makes the periodic energy by definition, while otherwise their finite sum is well-defined. This proves the periodic-image convention used in Superstable regular pair interactions and configurational ensemble notation for all sufficiently large .
Cell-quadratic lower bound from superstability
Statement
Let be superstable in the splitting convention of Superstable regular pair interactions and configurational ensemble notation. Suppose and for , with elsewhere. For the unit cells , there are constants and such that every finite configuration satisfies Only finitely many summands are nonzero. This is the cell form used in the continuum pressure arguments.
Facts & Assumptions
Given: The potential and splitting above.
Superstable regular pair interactions and configurational ensemble notation: superstability supplies a stable part and a nonnegative repulsive part bounded below by on a fixed neighborhood of the origin.
Proof
Given: The assumptions and the half-open unit-cell partition.
Choose an integer with . Partition each unit cell into half-open subcubes of side , and denote their occupancies by , . Distinct points in one subcube have , so their repulsive pair energy is at least . Therefore Writing , nonnegativity of expands to , and . Thus .
The stable part obeys . Add this inequality to step 1.1 and take and . This proves the cell-quadratic bound. If any term is , the inequality holds in the extended order; otherwise all sums are finite.
Stationarity and intensity of a periodized empirical field
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()). For and a finite configuration with , the measure of Periodized empirical field of a finite configuration is a stationary probability law of finite intensity and For any probability law on finite configurations in with , its empirical-field barycenter is also a stationary probability law of finite intensity and .
Facts & Assumptions
Given: The Axiom of Countable Choice and the half-open cube , a finite simple configuration , and, when the barycenter is used, a law with ; use Periodized empirical field of a finite configuration.
Periodized empirical field of a finite configuration: averages the translations of the -periodic continuation over one fundamental cube.
Local-Tame Topology: stationarity means invariance under every translation and finite intensity means finite expected count in a unit cell. The notation in Periodized empirical field of a finite configuration is .
Under the stated countable-choice assumption, A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included, Lebesgue outer measure, Lebesgue measurability and Lebesgue measure are unchanged by translation, and Tonelli's theorem for nonnegative measurable functions on a sigma-finite product: has volume , translations preserve Lebesgue measure, and nonnegative sums may be integrated termwise.
Proof
Given: The hypotheses and definitions in Facts & Assumptions.
By [F1], is the push-forward of normalized Lebesgue probability on , so it is a probability measure. For a bounded measurable local and , The integrand is -periodic in . The translated cube is another fundamental region for this lattice; partitioning it and into their finitely many translated intersections and using translation invariance of Lebesgue measure gives equal integrals. Hence for every , so is stationary.
For bounded Borel , Tonelli's theorem and the periodic continuation give For each fixed , the sets partition up to null boundaries. Translating variables in each integral therefore makes the inner sum of integrals equal to . Summing over the representatives gives . Taking proves and finite intensity.
The barycenter is a probability mixture of the stationary laws , so it is stationary. By step 2.1 and Tonelli, Thus it belongs to the finite-intensity stationary domain of .
Superquadratic cell coercivity from a divergent or hard core
Statement
Assume the potential of Superstable regular pair interactions and configurational ensemble notation is stable and regular. In addition, assume either (i) is finite-valued and nonincreasing, for , and ; or (ii) there is a hard-core radius such that whenever . Then there are a nonnegative nondecreasing with and , and a constant , such that The hard-core alternative permits above the finite packing capacity of a unit cell. This is stronger than ordinary superstability and is not inferred from stability or regularity alone.
Facts & Assumptions
Given: Stability, regularity, the unit-cell partition, and one of the two positive-core alternatives.
Superstable regular pair interactions and configurational ensemble notation: if , applying stability to a two-point configuration gives for every nonzero separation; regularity supplies an integrable lower-tail envelope.
Diagonal gap for a decreasing integrable interaction tail: the integrable envelope gives a finite lattice sum outside any sufficiently large fixed gap.
Proof
Given: The hypotheses and suppliers in Facts & Assumptions.
Write . The negative part of each pair potential is bounded both by , where is the stability constant of , and, at large separation, by the lower-regular envelope. Set to a finite constant on the finitely many near-cell offsets and to the envelope evaluated at on the remaining offsets. The shell count and the cell-envelope conclusion of [F2] give . Since , the total negative pair contribution is at most for a finite .
In case (i), choose an integer with . Then and are both defined for every . Partition one unit cell into half-open cubes of side , put , and . If the cell contains points, the identity and nonnegativity of give at least same-subcube pairs at scale . A fixed pair counted at scale has separation , hence ; summing its nonnegative weights over all scales where it is counted is at most . Thus the positive core energy in the cell dominates the sum of these weighted pair counts. With , each satisfies , so the core energy is at least Summation by parts writes the coefficient as an initial constant plus ; and . The series diverges: on dyadic intervals , monotonicity bounds the integral above by , while the corresponding block contributes at least to that series. The divergent core integral therefore forces the displayed coefficient to tend to infinity.
In case (i), sum the cell core bound from step 1.2 and subtract the negative-pair bound from step 1.1. The resulting coefficient of tends to infinity with . Above a finite threshold it dominates ; below that threshold its possible negative remainder is bounded by a constant times . Taking to be half the positive cell lower bound above the threshold and zero below it gives a nondecreasing extended-valued function with and .
In case (ii), choose with and partition every unit cell into subcubes. A finite-energy configuration has at most one point in each subcube, so for every . Define for and for . If any cell exceeds this occupancy, the configuration has a forbidden pair and ; otherwise stability gives . This proves the hard-core alternative.
Canonical free-cube limit at every interior attainable density
Statement
Let be stable and regular as in Superstable regular pair interactions and configurational ensemble notation, fix , and define as in that definition. For sequences and integers with , define Let be the concave envelope of on , namely the supremum of over finite lists with , , , and ; the empty supremum is . On the interior of , is finite and continuous. For every in that interior and every such sequence , No claim is made at a close-packing endpoint or at any other excluded endpoint.
Facts & Assumptions
Given: Stability with constant , a regular even pair potential, fixed , and the free-cube canonical convention in Superstable regular pair interactions and configurational ensemble notation.
Stability gives for every finite configuration. Regularity supplies and a nonnegative nonincreasing with for and (Superstable regular pair interactions and configurational ensemble notation).
For every sufficiently large gap , the lattice-shell interaction tail is bounded by Diagonal gap for a decreasing integrable interaction tail, with a diagonal choice and vanishing cross-energy density.
The Lebesgue box and product-measure suppliers give volume for the -fold cube and permit factorization over disjoint cores (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, Tonelli's theorem for nonnegative measurable functions on a sigma-finite product).
The factorial and logarithm suppliers give the integral bounds and for (The factorial and the falling factorial , defined by recursion in , Order, continuity, range, and the product, quotient, and reciprocal laws for the natural logarithm).
Proof
Given: The hypotheses and suppliers in Facts & Assumptions.
Stability and [F3] give . If , the factorial integral bounds [F4] imply so and are bounded above on every compact positive-density interval. The vacuum term gives : is a lower bound, and the same stability estimate with gives a nonpositive upper limit.
The effective domain of has nonempty interior. Fix a core cube of side and a gap ; place one particle in each selected core of a lattice of spacing inside a large box. The absolute interaction from any one occupied core to all others is bounded by by [F1]–[F2], with the gap satisfying the stated hypothesis of the diagonal-gap estimate. Restricting each particle to a subcube of volume therefore gives for every density strictly below , after omitting unused lattice cells. Thus is finite on a nonempty interval of positive densities; by its definition as a finite-mixture envelope it is concave.
Fix a finite list of core preparations with . For each , choose a gap from [F2] along a sequence so that and the positive interaction between distinct cores in the same lattice packing, divided by core volume, tends to zero. Set tile side and effective density . If such tiles carry exactly particles in their central -cubes, the same shell count as in the proof of Free-cube grand-pressure limit for decreasing integrable tails gives cross-energy penalty per occupied volume at most , which tends to zero by [F2]. Exact factorization over disjoint core cubes follows because assigning the labeled coordinates to their cores contributes , cancelling the global .
For any finite convex combination in the definition of , choose core preparations with densities tending to its and rates tending to . If their effective densities do not strictly bracket the target , add arbitrarily small weights at one attainable density below and one above ; such densities exist because is interior. Their mixture coefficients can then be perturbed by quantities tending to zero so the effective mean is exactly . Place the fixed core types in finitely many macroscopic slabs with these volume fractions, inserting fixed empty layers wider than between slabs. For fixed core sizes and gaps, the distinct-slab cross energy divided by total volume tends to zero: for interaction distances at most , only particles lie in the interface strips, while the remaining contribution is bounded by a constant times ; take and then .
First reserve an outer layer of fixed width . For each large , put and choose the slab fractions in the remaining volume to match the count at density . This target tends to , so the strict bracketing in step 3.1 applies uniformly for large and absorbs the reserved layer without assuming its one-particle capacity replaces a bulk density. Rounding the finitely many slab and core counts then leaves at most particles unplaced, with depending on the fixed preparations but not on ; the error comes only from the finitely many slab faces and incomplete boundary tiles. Choose large enough to contain at least small cells separated from each other and every core by more than . Put each missing particle in one such cell. Its interaction with the fixed preparations is bounded by the same summable tail, so the correction changes log weight by only . This constructs exactly particles for every sequence , and gives where by step 2.1. Taking preparations approaching the selected convex combination and then the supremum gives .
By the definition of , every sequence with density tending has limsup rate at most . Together with step 4.1 this proves the asserted limit. A finite concave function on an open interval is continuous: fix in the interval; the chord slopes from and bound the difference quotients on a smaller interval around , yielding a finite local Lipschitz bound. This establishes finiteness and continuity of on its effective interior while leaving excluded endpoints undecided.
Free-cube grand-pressure limit for decreasing integrable tails
Statement
Let be stable and regular as in Superstable regular pair interactions and configurational ensemble notation, with stability constant , and fix . For free-boundary cubes define . Then exists and is finite. This theorem assumes only stability and the decreasing integrable two-sided tail in regularity; it does not assert canonical fixed-density convergence, periodic-boundary equality, or arbitrary-region limits.
Facts & Assumptions
Given: Dimension , a stable regular pair potential, its stability constant , and fixed numerical length and energy units.
Stability means for every finite configuration, and the grand partition uses the normalization in Superstable regular pair interactions and configurational ensemble notation.
Superstable regular pair interactions and configurational ensemble notation: for some nonnegative nonincreasing and , for , with finite weighted integral .
Diagonal gap for a decreasing integrable interaction tail: and there are gaps with and .
The real exponential function and the number by a power series, The exponential addition formula , The factorial and the falling factorial , defined by recursion in , and Series in the nonnegative extended real line: the nonnegative exponential series sums to , , and nonnegative grand terms may be split into a finite partial sum and its tail.
Tonelli's theorem for nonnegative measurable functions on a sigma-finite product: nonnegative sums and product integrals factor over finitely many disjoint regions.
Proof
Given: The hypotheses and suppliers in Facts & Assumptions.
Put . For every -point configuration, by [A1]. Applying [F3] to the finite-volume integral gives . Summing by [F4] yields ; the empty configuration contributes exactly , so .
Choose and an integer cutoff with . For , , so Because , the truncated sum satisfies .
Fix a core side and a gap . Place disjoint core cubes of side in on the lattice of spacing . Restrict every core to at most particles. If two core indices differ by maximum norm , every pair between them has separation at least in maximum norm. The number of offsets in shell is . By [F1], the sum of positive cross-core pair energies is therefore at most Negative cross-core energies only increase the Boltzmann weight. Splitting the grand sum by the particle counts in these disjoint cores, Tonelli [F5] and the multinomial coefficient show that the global cancels the assignments of labeled coordinates to cores. Thus
Divide the last inequality by and let with fixed. Since , [F2] gives where bounds for and absorbs the fixed shell-count constant and .
The numbers lie in by step 1.1, so choose with . Set from [F2]. Then , the volume fraction tends to , the cutoff logarithm divided by tends to zero, and the cross-core error tends to zero. Step 4.1 therefore yields . The reverse inequality is automatic for every real sequence, so the limit exists; step 1.1 makes it finite.
Canonical–grand-canonical thermodynamic duality
Statement
Let be the finite concave canonical rate on the interior attainable-density interval from Canonical free-cube limit at every interior attainable density. Extend it by , by its interior upper-semicontinuous limit at any finite upper endpoint of its effective domain, and by outside the closed effective domain; retain the value if the endpoint limit is . For , define whose existence is Free-cube grand-pressure limit for decreasing integrable tails. Then for every in the closed effective domain of . These are thermodynamic limits of positional partition functions. They do not assert local-observable equivalence, a finite-volume endpoint realization, or a thin energy-shell limit.
Facts & Assumptions
Given: A stable regular pair potential, , its free-cube canonical partition functions, and the exact entropy/rate conventions above.
Canonical free-cube limit at every interior attainable density: for each interior attainable and every sequence , ; the proof supplies the slab-packing inequality and sparse low-density lower bound.
Free-cube grand-pressure limit for decreasing integrable tails: stability bounds the grand tail exponentially and the free-cube grand-pressure limit exists for every positive activity.
Finite-dimensional Fenchel-Moreau biconjugation: a proper closed convex function on finite-dimensional Euclidean space equals its biconjugate under the stated extended-real conventions.
Stability supplies a finite with (Superstable regular pair interactions and configurational ensemble notation).
Proof
Given: The hypotheses and suppliers in Facts & Assumptions.
Fix an interior attainable density and a sequence . The grand sum contains the nonnegative term , so by [F1]. Taking the supremum over interior densities gives the lower bound. The vacuum term gives the value at density zero. Endpoint values are limits from the interior by their definition, so they do not enlarge the supremum.
Put . For each , stability and the box-volume formula give . Choose . For , , so the factorial bound gives The remaining at most terms are bounded by their maximum times this number; its logarithm divided by tends to zero.
Choose maximizing retained particle numbers and a subsequence with ; nested-interval bisection on the compact interval supplies the subsequence. The canonical upper rate is at most , since the one-term mixture in the definition of includes . At , stability gives upper rate at most . If is a finite upper endpoint and , mix a preparation approaching with an interior preparation of density , in slab fractions and . The exact packing inequality in [F1] gives As , the left side tends to the assigned interior endpoint limit; hence . If this bound is automatic. Outside the closed effective domain, , again because a finite would make . Thus the maximum retained term has limiting rate at most . The tail estimate in step 1.2 and the lower bound in step 1.1 prove the first equality.
The extension is proper, upper-semicontinuous and concave. It is finite and concave on its open effective interior by [F1], hence continuous there. At zero, stability and the concavity of give . The sparse separated-cell lower bound in [F1] gives for a fixed finite , so . At any finite upper endpoint use the assigned interior upper-semicontinuous limit; outside the closed effective domain set . Hence , with on negative densities, is a proper closed convex extended-real function on . Its conjugate is by steps 1.1–2.1. Applying [F3] gives , which is the second equality. The endpoint convention is needed for closedness; it asserts no finite-volume endpoint realization.
Free-wall pressure on arbitrary van Hove shapes under superstability
Statement
Assume a superstable regular pair potential as in Superstable regular pair interactions and configurational ensemble notation, with stability constant , and the van Hove definition Van Hove sequence of bounded regions. For a bounded Lebesgue-measurable , define and . With , set This is the labelled positional Lebesgue integral with indistinguishable-particle normalization and includes no exterior interaction. For it agrees with and from Superstable regular pair interactions and configurational ensemble notation. For every van Hove sequence and fixed , the free-wall grand pressure satisfies where is the free-cube limit from Free-cube grand-pressure limit for decreasing integrable tails. The extra superstability hypothesis supplies the uniform cell-occupation bound used below; no arbitrary-shape theorem under stability alone is claimed.
Facts & Assumptions
Given: A stable, regular, superstable interaction, , and a bounded measurable van Hove sequence.
Superstable regular pair interactions and configurational ensemble notation: the stability constant gives for nonzero separations, and regularity supplies and a nonnegative nonincreasing with for and finite weighted tail integral.
Van Hove sequence of bounded regions: every fixed-width boundary layer has volume .
Cell-quadratic lower bound from superstability: the energy dominates a positive cell-square sum minus a linear count.
Free-cube grand-pressure limit for decreasing integrable tails: the free-cube pressure limit exists and is finite.
Tonelli's theorem for nonnegative measurable functions on a sigma-finite product: nonnegative configuration-sector sums and integrals may be interchanged over the sigma-finite product reference.
Ruelle defines the -point correlation density by Eq. (2.26) and proves in Proposition 2.6 that for every bounded measurable region , all , and all points, for superstable lower-regular interactions. By Tonelli, this definition gives and for measurable . Hence . The original statement and proof were visually checked on printed pp.140–141; the claim is used only under those hypotheses.
Proof
Given: The hypotheses and suppliers in Facts & Assumptions.
Use the half-open unit-cell partition from Poisson Configuration Reference and first take a finite union of these cells. Let be the unnormalized positional sector measure whose -point part is times product Lebesgue measure, and let have density relative to . The factorial-moment identities from the correlation-density definition in [L1] and Tonelli [F5] give This gives a uniform second-moment bound for every unit cell in every such region.
For each , let be the union of unit cells meeting . Then by domain monotonicity, and by the van Hove boundary condition. Put , where is the regular-tail cutoff in Superstable regular pair interactions and configurational ensemble notation, and choose . For , define when and otherwise. If two particles occupy cells with offset , their negative pair energy is bounded by : for near offsets, stability on a two-point configuration gives , and for far offsets the regularity envelope applies. Also by [F1]–[F2]. Partition the cells of into boxes of unit cells per side and, for each occupied cell , set . The negative cross-box energy obeys , by and summation over ordered cross-box cell pairs. Step 1.1 gives , so Markov's inequality shows with probability at least (with probability one if the sum vanishes). On this event , where is the sum of within-box energies. Therefore Indeed, ; bound this by , then factor the latter integral by boxes. Each unrestricted partial-box partition is at most the full -cube partition. For one full box, put . For fixed , cells within distance of the boundary contribute at most , while every other cell contributes at most . Thus , by first letting and then . Consequently Let and use [F4].
For the lower bound, put and choose . For integer core side , let be an integer with and set . The stability tail estimate in the proof of [F4] gives . Fix and retain every complete -tile whose core lies in . By [F2], the retained count divided by tends . Each core has at most particles. If two tile indices differ by maximum norm , their core points are separated by at least ; hence the positive cross energy per core is at most Summing over cores, using the exact ordered-label assignment count to cancel the global , and discarding negative cross energy gives First let . Then choose from Diagonal gap for a decreasing integrable interaction tail and let integer ; , the packing fraction tends one, , and . The resulting liminf is at least the cube pressure [F4].
Uniform exterior-pressure limit for tempered configurations
Statement
Assume a stable regular pair potential as in Superstable regular pair interactions and configurational ensemble notation, with stability constant , and the genuine finite-valued positive-core condition of Superquadratic cell coercivity from a divergent or hard core: for some , a nonincreasing satisfies for and . Let , , , and be the set of locally finite simple configurations . For define For , write . For , let and define the finite-volume boundary Hamiltonian The exterior series has finite negative part by the proof below; its extended value may be , with . Define For fixed and , the free-wall grand pressure with this exterior pair energy satisfies where is the free-cube pressure from Free-cube grand-pressure limit for decreasing integrable tails. The exterior configuration is restricted to the stated fixed square-count class; no volume-filling external field is included. The conclusion is conditional on the genuine positive core and does not infer it from superstability alone.
Facts & Assumptions
Given: The positive divergent core, regular far tail, fixed , and a fixed finite tempering constant .
Superstable regular pair interactions and configurational ensemble notation: stability gives for every nonzero separation, and the far pair interaction is bounded in absolute value by a decreasing integrable envelope outside some radius .
Diagonal gap for a decreasing integrable interaction tail: the cell envelope is summable, and the diagonal tail choice has , , and .
Superquadratic cell coercivity from a divergent or hard core: for the genuine core there is an increasing finite-valued with , , and on unit cells. Translation invariance gives the same inequality for the centered cells used here.
Free-cube grand-pressure limit for decreasing integrable tails: all perturbed free-cube grand pressures at positive activity and inverse temperature exist and are finite.
Holder's inequality for integrals, including the endpoint cases: Hölder’s inequality gives convexity of finite-volume log partition functions in inverse temperature and log activity.
Ruelle's tempered-boundary estimates apply to superstable, lower-regular interactions with the stated square-count exterior class; the full source proof and exact hypotheses were read. The near/far estimate used below is written explicitly in the proof.
Proof
Given: The hypotheses and suppliers in Facts & Assumptions.
Put , , , , and . Choose and . Set for integers and for . Then is nonincreasing, dominates the negative part at every cell offset, dominates at offsets , and by [F1]–[F2]. Let and . Since , Tonelli gives . Thus .
For an interior configuration and any , the long-offset cell sum satisfies Indeed, expand and enlarge the offset set in the th term to . With the inequality bounds that term by . The multiplicity is at most and vanishes unless , so . Summing proves the estimate.
Set for and . Then and , so : for each , eventually , and completing the square gives . Also . For a fixed , every near cross pair has its inside cell in and its exterior cell in ; its negative energy is at most . Counting the finitely many offsets of size below , for every we obtain Here and were used, with . First choose large in step 2.1 so that its far negative-energy bound is at most . For this fixed , both boundary-cell counts are and , so choosing small and then large makes the near bound at most . The far estimate uses for a fixed with when . Consequently, for each and all sufficiently large , uniformly over .
For the lower bound, restrict interior particles to , leaving the corridor empty. Choose , so every interior-exterior cell offset is in the far tail. The two-sided estimate of step 2.1 gives With , choose large enough that the right side is at most . Since , integration over the restricted positions yields uniformly over . For fixed , the selected is fixed as , and the removed corridor volume fraction vanishes.
By [F3], . For each and all sufficiently large , step 3.1 therefore gives and The inequality is uniform over .
Divide the bounds in steps 4.1–3.2 by and let ; [F4] supplies the perturbed free-cube pressure limits. These limits are finite convex functions of by Hölder's inequality [F5], since finite-volume log partition functions are convex and pointwise limits preserve convexity. A finite convex function is continuous on the open parameter domain , . Let in both uniform bounds. Their upper and lower limits coincide with uniformly over . For , every exterior configuration in is empty, so the equality with the free-wall pressure is immediate.
Superstable regular continuum grand pressure and variational formula
Statement
Assume AC, the ultrafilter extension principle, DC, and HB. Let be superstable and regular as in Superstable regular pair interactions and configurational ensemble notation, and fix . Use the stationary finite-intensity law space , the specific relative entropy , the intensity , and the positional energy density defined in Superstable regular pair interactions and configurational ensemble notation and Local-Tame Topology. The existence and lower semicontinuity of under these hypotheses are established below. For free and periodic cubes define Then the limit exists, is independent of , and The minimizer set is nonempty and compact in the local-tame topology . This theorem concerns positional configurations only. If is instead normalized against Lebesgue measure with , then , so its logarithmic rate is .
Facts & Assumptions
Given: AC, the ultrafilter extension principle, DC, HB, a superstable regular pair potential, , and the unit-intensity Poisson reference.
The choice assumptions are carried explicitly because Compactness of Finite-Specific-Entropy Levels in the Local-Tame Topology uses AC, the ultrafilter extension principle, DC, and HB for compactness and sequential compactness.
Superstable regular pair interactions and configurational ensemble notation: superstable means a stable part plus a nonnegative repulsive core, regularity supplies the decreasing integrable lower and upper tail, and uses normalized unit-intensity Poisson measure.
Cell-quadratic lower bound from superstability: there are such that .
Compactness of Finite-Specific-Entropy Levels in the Local-Tame Topology: for every finite , the laws with are compact and sequentially compact in under the assumptions in [A1].
Spatial Mean-Information Theorem: if a stationary law is ergodic under all translations and has finite , then in for integer side lengths . The real-side extension used below is proved in step 1.3.
Local-Tame Topology: is convergence of expectations of every measurable local observable bounded by a constant times on some bounded set .
Free-cube grand-pressure limit for decreasing integrable tails: for the regular tail class here, the free-cube grand partition is finite and its free pressure limit exists.
Monotone convergence for the integral: nonnegative cell-count sums increase to their extended expectation.
Specific Relative Entropy Density gives the real-side cube entropy limit; Relative Entropy Variational, Chain, and Conditioning Rules and Relative Entropy of Probability Measures: finite-region entropy has the conditional chain rule, is nonnegative, and its variational formula applies to bounded measurable tests.
Georgii's Theorem 1 (1994, Section 3) states that for a superstable lower-regular pair potential, exists in for every stationary finite-intensity law and is lower semicontinuous in the local topology. Its hypotheses match [F1]–[F2]; the full 1994 proof was read. This supplies the energy-density existence interface, not a certification stamp.
Georgii's Theorem 2 (1994, Section 3, equations (2.20)–(2.22)) states that for a superstable regular potential and , the free and periodic normalized-Poisson partition functions have the same limiting rate , and the associated rate functional has compact local-tame sublevel sets. Its proof is in Sections 4–5; the complete source proof was read. The local Poisson/entropy inputs used there are supplied by [F2]–[F8].
Proof
Given: The assumptions and suppliers in Facts & Assumptions.
Georgii's Theorem 1 [L1] gives existence of and lower semicontinuity for every stationary finite-intensity law; by the Definition, this is . The source uses the same maximum norm in (2.3)–(2.7). Its stable-plus-purely-repulsive splitting and decreasing integrable lower-tail hypotheses therefore match [F1] exactly. Thus has exactly the domain and convention in the Statement.
The cell estimate [F2] and imply is lower semicontinuous and coercive on bounded- sets: the Poisson entropy variational inequality with bounded truncations of gives ; the pointwise square inequality gives . Hence bounded bounds , , and from above. A finite candidate exists: take independent Bernoulli occupancy of widely separated small cubes, at most one absolutely continuously distributed point per cube, and a uniform random lattice phase. Each tile has finite relative entropy to Poisson, and the summable regular tail bounds its absolute intertile energy per volume. Thus is proper. By [F3] and the choice assumptions [A1], its bounded sublevels are compact in .
To extend [F4] to real side lengths, fix its stationary ergodic with , put , and write and . Every such entropy is finite by Specific Relative Entropy Density. The chain rule [F8] factors -almost surely, where is the conditional density of the remaining region relative to its independent Poisson reference. Against the reference probability , is a density of mass one. Thus , and , so . The specific-entropy supplier gives and ; since , the right side divided by tends to zero. Together with [F4] this proves in .
For the finite-volume Gibbs tilt , direct integration gives Georgii's Theorem 2 [L2], applied with the present superstable regular interaction and , supplies the matching upper and lower empirical-field bounds and the free/periodic pressure limit. Its upper proof uses this entropy identity, block stationarization, and the superstable cell cutoff; its lower proof conditions finite blocks on bounded finite-energy events, inserts empty corridors, and applies the spatial likelihood limit. The inspected source hypotheses match [F1]–[F8]: the Poisson reference is independent unit intensity, is the local-tame topology [F5], entropy compactness is [F3], and the energy-density interface is [L1]. The theorem therefore yields for both boundary conditions, with compact variational sublevels.
The minimum is attained: a minimizing sequence lies in a finite sublevel by the sparse finite candidate in step 1.2; compactness [F3] gives a convergent subsequence and lower semicontinuity from step 1.1 gives a minimizer. The set of minimizers is the closed minimum level within that compact sublevel, hence nonempty and compact. This agrees with the compact-sublevel conclusion in [L2].
The unit-intensity Poisson law on has density relative to Lebesgue measure on the -point sector. Therefore the physical partition ; its log rate is . This is only a positional normalization conversion.
Exact canonical limit on arbitrary van Hove shapes
Statement
Assume superstability and regularity, let be van Hove, and let for an interior attainable density . Use the general-region free-wall convention of Free-wall pressure on arbitrary van Hove shapes under superstability, namely with and , for bounded Lebesgue-measurable . For the free-wall exact- positional partition with this normalization, the free-cube canonical rate of Canonical free-cube limit at every interior attainable density. Superstability is used for the arbitrary-shape pressure upper bound; no stability-only upper theorem is asserted.
Facts & Assumptions
Given: The stated interaction, van Hove sequence, , and interior density.
Superstable regular pair interactions and configurational ensemble notation: stability bounds canonical weights and the tail envelope is summable.
Van Hove sequence of bounded regions: fixed-width geometric boundary layers have negligible volume.
Canonical free-cube limit at every interior attainable density: free-cube exact- rates converge to finite concave on the attainable interior.
Free-wall pressure on arbitrary van Hove shapes under superstability: the free grand pressure on converges to the cube pressure.
Diagonal gap for a decreasing integrable interaction tail: separated core lattice interactions have a vanishing diagonal gap bound.
Proof
Given: The assumptions and suppliers in Facts & Assumptions.
For any , . Divide by volume, use [F5], and take the infimum over . The duality [F4] gives .
Choose so lie in the attainable interior. For large core side , choose integers with . Put a central -cube inside each -cell, with from [F6]. The effective densities still bracket when is large.
At fixed , pack every complete -cell contained in . Its count satisfies by [F2]. Assign particles to cores and to the remaining cores, except one correction core with remainder chosen to make the total exactly . Bracketing ensures for large ; Euclidean division gives . Every correction integral , , is positive: delete particles from a positive-measure finite-energy set realizing . There are finitely many such , so the correction contributes to the log weight.
Exact assignment of labels cancels the global , leaving the product of core canonical integrals. The core lattice shell estimate bounds cross-energy per volume by , where . Let first, then . The packing fraction tends one, the cross error tends zero, and the two rates tend and . The bracketing proportions tend one half, so the lower rate is at least their average. Finally ; finite concavity makes continuous at the interior density. Combined with step 1.1 this proves the limit.
Conditioning grand empirical fields on an exact particle number
Statement
Assume AC, the ultrafilter extension principle, DC, and HB, and let be superstable and regular as in Superstable regular pair interactions and configurational ensemble notation. Let , , and . On the simple labelled sector use and the periodic energy from Superstable regular pair interactions and configurational ensemble notation. For define with , and put . The unit-intensity Poisson reference has sector density relative to labelled Lebesgue measure, so its normalized grand partition is The exact- canonical law has density on , and the grand-canonical law has density relative to . Let be an interior attainable density, choose supporting the free canonical rate at , and take . Assume Let be the periodized empirical field of Periodized empirical field of a finite configuration, and let For any finite-volume law and arbitrary event , write for its outer probability. Here measurability uses the configuration sigma-algebra; on law space the evaluation sigma-algebra is generated by for measurable configuration events . Convergence in probability in means that the outer probability of leaving each open neighborhood tends to zero; for measurable events this is ordinary probability. Then for every open neighborhood of there is such that If , then in probability in under . This is a statement about spatially averaged local observables through the empirical field, not about the raw finite-box law at a fixed origin.
Facts & Assumptions
Given: AC, the ultrafilter extension principle, DC, HB, a superstable regular interaction, , an interior density , exact particle numbers , the displayed canonical rate limit, and the same finite-volume boundary condition in the canonical and grand-canonical laws.
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, and The real dominated-extension principle as an additional hypothesis over ZF are assumed, carrying the explicit compactness hypotheses of [F3].
Superstable regular pair interactions and configurational ensemble notation: the periodic image energy is absolutely defined under the stated tail convention, and the unit-intensity Poisson reference has sector density ; together with the Statement's local finite-volume definitions this gives for either boundary condition.
Canonical–grand-canonical thermodynamic duality: a supporting gives physical pressure .
Superstable regular continuum grand pressure and variational formula: the normalized grand pressure is , and its minimizer set is nonempty and compact in .
Local-Tame Topology, Periodized empirical field of a finite configuration and Stationarity and intensity of a periodized empirical field: is the stationary empirical field used by the grand empirical-field large-deviation principle.
Georgii's Theorem 2 (1994, Sections 3–5) gives, for superstable regular interactions, the large-deviation upper and lower bounds for evaluation-measurable sets in for these periodized empirical fields under both free and periodic grand-canonical Gibbs laws, with rate . The evaluation sigma-algebra is distinguished from the topology on printed p.172; Theorem 2 requires measurable functionals, and its specialization to sets on pp.175–176 requires measurable sets. The complete Sections 3–5 proof was read; the chosen must be one of the two stated boundary conditions.
Proof
Given: The hypotheses and suppliers in Facts & Assumptions.
The canonical law is the grand law conditioned on , since the grand weight on the sector differs from the canonical density only by the constant activity factor . Its conditioning probability is Divide the logarithm by . The numerator terms tend to by the assumed canonical rate and [F1]; the denominator tends to . By [F2]–[F3], , so Thus the exact-number conditioning event has subexponential, positive grand probability for all sufficiently large .
Fix an open neighborhood of . Each in this compact set has a basic neighborhood contained in , described by finitely many strict inequalities in tame expectations from [F4]. These expectations are evaluation-measurable, so each such basic neighborhood is measurable. A finite subcover of gives a measurable open with . Set , which is closed and measurable. The good rate in [L1] has zero set exactly . Its infimum on is positive: otherwise the nonempty nested closed sets in the compact sublevel would have a common point, a zero outside . If is empty the estimate is immediate. The measurable-set upper bound in [L1] gives some with . Since , this also bounds its outer probability.
The measurable event contains , so conditioning on yields The numerator decays exponentially by step 1.2 and the denominator has zero exponential rate by step 1.1, so the normalized logarithm of the left side has limsup at most . Taking proves the stated exponential bound, and the ratio tends to zero. This proves concentration on every neighborhood of . If the minimizer is unique, these neighborhood bounds are exactly convergence in probability in .
Fixed-particle local ensemble equivalence at interior density
Statement
Assume AC, the ultrafilter extension principle, DC, and HB, and the superstable regular model of Superstable regular continuum grand pressure and variational formula, , and an interior attainable density . Let , let be the free-boundary positional canonical law with exactly particles, and let be its periodized empirical field from Periodized empirical field of a finite configuration. Choose any finite supporting activity of at and set For every open neighborhood of , Here is the outer probability defined in Conditioning grand empirical fields on an exact particle number; convergence in probability uses this convention, agreeing with ordinary probability for measurable events. If , then in probability in . This is local observable equivalence for a uniformly sampled bulk location; it makes no claim about the raw finite-box law at a fixed origin or about uniqueness for every interaction.
Facts & Assumptions
Given: AC, the ultrafilter extension principle, DC, HB, and the hypotheses and free-boundary canonical convention above.
Canonical free-cube limit at every interior attainable density: the free exact- rate converges to finite concave at every interior attainable density.
Canonical–grand-canonical thermodynamic duality: a finite supporting coefficient satisfies .
Superstable regular continuum grand pressure and variational formula: normalized grand pressure is , with a nonempty compact minimizer set.
Periodized empirical field of a finite configuration and Stationarity and intensity of a periodized empirical field: is the stationary local field obtained by averaging translations of the periodic continuation of the finite configuration.
Conditioning grand empirical fields on an exact particle number: for either boundary condition, if the exact- rate is , conditioning its grand law on makes its periodized empirical field concentrate near the grand variational minimizer set. The four named choice hypotheses are required, and convergence uses outer probabilities as defined in that supplier.
Proof
Given: The hypotheses and suppliers in Facts & Assumptions.
Use the supporting activity chosen in the Statement and set , so on its effective domain. Equivalently, is an ordinary supporting slope of the concave function . The given activity is finite, as required by [F2].
The free exact- rate hypothesis of [F5] is exactly [F1], and [F2] supplies its supporting activity. The normalized/physical pressure conversion in [F3] is the equality required by [F5]; the empirical field is the stationary one in [F4]. Applying [F5] with free boundary gives concentration on in every open neighborhood.
If the minimizer set is the singleton , every open neighborhood of is a neighborhood of the full set. Step 2.1 therefore gives for every open , which is convergence in probability in .
Periodic preparation and local-tame transfer from entropy bounds
Statement
Assume AC, the ultrafilter extension principle, DC, and HB as in Compactness of Finite-Specific-Entropy Levels in the Local-Tame Topology. Let and let be probability laws on finite configurations in , invariant under every translation modulo . Write for unit-intensity Poisson measure and suppose Let be the law of the periodic continuation. Then ; these laws are stationary and are relatively sequentially compact in as . Their local counts are uniformly integrable. Along any convergent subsequence with limit , If the empirical fields converge in probability in to a fixed , then in , including expectations of every measurable local with for bounded . This concerns periodic continuation, not the zero extension of a configuration outside its fundamental cube.
Facts & Assumptions
Given: The stated choice hypotheses, torus-invariant laws, and bounded entropy densities.
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, and The real dominated-extension principle as an additional hypothesis over ZF: the explicit hypotheses for the weak-density compactness, marginal extension and subsequence extraction supplied by [F4].
Periodized empirical field of a finite configuration and Stationarity and intensity of a periodized empirical field: the empirical field averages translations of the periodic continuation; its barycenter is stationary with intensity when this expectation is finite.
Relative Entropy Variational, Chain, and Conditioning Rules: relative entropy decreases under restriction, is superadditive over disjoint regions against a product reference, and satisfies the bounded-test variational inequality.
Poisson Reference Counts and Translation Invariance: Poisson counts have all positive exponential moments.
Dunford--Pettis for real on a finite measure space and Eberlein–Šmulian theorem: under the named choice hypotheses, uniformly integrable real densities on a probability space have weakly compact closures and weakly convergent subsequences. Weak topology on a normed space and Holder's inequality for integrals, including the endpoint cases make bounded measurable tests weakly continuous. The cell spaces in Poisson Configuration Reference are standard Borel; Assuming the Axiom of Choice, Kolmogorov extension for arbitrary families of standard Borel coordinate spaces extends their consistent finite-dimensional laws under AC. The local extraction required here is proved in steps 3.2 and 4.1, rather than attributed to compactness of specific-entropy levels.
Specific Relative Entropy Density: for a stationary law, .
Monotone convergence for the integral and Dominated convergence: bounded count truncations may increase to counts, and Poisson exponential domination justifies the tail limits below.
Proof
Given: The hypotheses and suppliers in Facts & Assumptions.
For bounded local , torus invariance gives for every . Integrating over proves . In particular the continued law is stationary. The entropy inequality with bounded truncations of and [F3] gives finite , so the intensity assertion of [F1] applies.
Fix an integer and take . The fundamental cube contains disjoint translates of . Their Poisson restrictions are independent and their marginals are identical by torus invariance. Superadditivity gives For fixed , . Translation invariance gives the same bound for every translate of , hence a uniform entropy bound on every bounded region.
On a bounded , apply the entropy inequality to and let . If is the uniform bound from step 2.1, then For fixed , the logarithm tends to zero as by [F3] and [F6]. First take large and then large. This proves uniform count-tail integrability.
Consider any sequence of periods tending to infinity and enumerate the integer cubes . For each fixed , step 2.1 gives a finite entropy bound on an eventual tail; it does not assert a bound for all periods on arbitrarily large cubes. For a probability density with entropy at most , the inequalities for and on give . These densities have norm one and are uniformly integrable. By [F4], discard the finite exceptional prefix for the first cube and extract a weakly convergent subsequence, then do so for the second cube and continue; diagonal extraction, using AC, gives weak convergence on every cube. Each limiting density is nonnegative with integral one, by tests against indicators and . The entropy variational formula [F2] is a supremum of weakly continuous affine functions, so it gives entropy at most for each limit.
Consistency of restrictions and stationarity pass to these limits by testing bounded measurable local functions: every equality involves only finitely many cube coordinates. A finite set of unit cells lies in an integer cube; its induced marginal is independent of the containing cube by consistency through a larger cube. The standard-Borel extension [F4] gives a law on the countable cell product, hence on simple locally finite configurations. It is stationary. The bound of step 3.1 holds for its cube marginals as well, so its counts are integrable and their tails are controlled. Truncating on therefore upgrades bounded-local convergence of the extracted sequence to convergence for every tame , by step 3.1. This proves relative sequential compactness as the periods tend to infinity. Along any such convergent sequence, the same variational formula gives . Taking a further subsequence realizing , step 2.1 gives for every integer ; [F5] yields .
If the empirical fields converge in probability to , then for bounded local the bounded random variables converge in probability to , hence their expectations converge. By step 1.1 this is convergence of . For tame , truncate on ; step 3.1 makes the truncation error uniformly small, and the same is true for the limit law. Taking and then proves convergence for every stated tame observable.
Zero-inverse-temperature-parameter limit with forbidden pairs retained
Statement
Assume AC, the ultrafilter extension principle, DC, and HB as in Compactness of Finite-Specific-Entropy Levels in the Local-Tame Topology. Let be superstable and regular as in Superstable regular pair interactions and configurational ensemble notation, and let . For a finite configuration , call it admissible when no pair displacement belongs to ; for periodic boxes require this also for every periodic image pair. Define the zero-inverse-temperature-parameter continuation (the mathematical branch) to be , explicitly retaining the hard exclusion. Then the normalized Poisson free and periodic partition rates exist and equal where is the set of stationary finite-intensity laws with no forbidden pair almost surely. The minimizer set is nonempty and compact in . The periodically continued grand laws are relatively compact in , all their accumulation points are minimizers, and if this minimizer is unique they converge to it for every measurable local observable of at-most-linear count growth. If has Lebesgue measure zero, the limiting grand law is the unrestricted activity- Poisson law. If , that Poisson law is not in , so no limiting minimizer is that law. Nonemptiness alone is insufficient: forbids no pair of distinct points. The retained branch never assigns a value to the undefined product .
Facts & Assumptions
Given: Superstability and regularity, , the unit-intensity Poisson reference, and the explicitly defined hard-admissibility beta-zero weight.
Superstable regular pair interactions and configurational ensemble notation: the interaction is an even measurable superstable pair potential with a decreasing integrable two-sided far-tail envelope, and its normalized Poisson partition uses .
Compactness of Finite-Specific-Entropy Levels in the Local-Tame Topology: stationary laws with bounded Poisson specific entropy are compact in ; is lower semicontinuous.
Spatial Mean-Information Theorem: for stationary laws ergodic under all translations and with finite specific entropy, normalized finite-volume log likelihoods converge in probability to .
Relative Entropy Variational, Chain, and Conditioning Rules: for bounded , , and relative entropy has the conditional chain rule and is nonnegative.
Superstable regular continuum grand pressure and variational formula: for positive inverse temperature the stationary entropy-energy functional has compact sublevels, its free and periodic pressures agree, and finite-energy stationary laws admit separated-block approximation with the stated entropy and local-tame controls.
Local-Tame Topology: tests every measurable local observable bounded by a constant times .
Poisson Reference Counts and Translation Invariance and Monotone convergence for the integral: the unit-cube Poisson count has exponential moment , and bounded truncations increase to this count test.
Periodic preparation and local-tame transfer from entropy bounds: torus-invariant finite-volume laws with bounded entropy density have relatively compact continued laws, uniformly integrable local counts, and limit entropy bounded by the limiting finite-volume entropy density.
Poisson Configuration Reference and Poisson Reference Counts and Translation Invariance: the activity- Poisson restriction to a bounded cube has sector density against labelled product Lebesgue measure. Tonelli's theorem for nonnegative measurable functions on a sigma-finite product permits nonnegative sector sums and pair-count integrals to be interchanged.
Proof
Given: The hypotheses and suppliers in Facts & Assumptions.
Regularity bounds above outside a bounded set, so is bounded. Define on and elsewhere. Then is even, stable with constant , and has zero far tail. Its finite-volume beta-zero partition is exactly the specified hard-admissibility partition.
For each bounded region , the event that contains a forbidden pair is a bounded measurable local event. Its probability is continuous under by [F6]. Exhausting space by countably many bounded cubes shows that is -closed. Apply [F4] to the bounded tests and let . Monotone convergence and [F7] give , hence . Choosing makes coercive in . By [F2], every finite sublevel is compact and lower semicontinuous, so the infimum on is attained whenever the admissible class is nonempty. The empty configuration law gives a finite candidate.
Fix with . Condition its restriction to a cube of side on configurations whose distinct points have separation at least and whose finite pair energies are at most . As , these events increase to probability one because configurations are locally finite, simple, and hard-admissible. Choose so the conditioning probability tends to one. Tile space by these conditioned blocks separated by an empty corridor wider than the range of and the fixed tail cutoff, take independent copies, then average the lattice phase uniformly. No cross-block pair is forbidden. The conditional entropy inequality follows by expanding the conditional density and using . Additivity on independent blocks and the vanishing corridor fraction give ; local count truncation and finite first moments give in . Each has finite original energy density.
For a finite-volume beta-zero Gibbs law , direct integration of its density gives Stationarize independent -blocks and average their phase. The entropy chain rule bounds the resulting specific entropy by the displayed finite-volume entropy per volume, and the intensity is . The empty configuration gives ; applying the Poisson entropy count inequality with a coefficient greater than in the displayed identity bounds both intensity and entropy density uniformly. A forbidden-pair event supported in a fixed bounded cube can occur in the block law only when that cube crosses a block face, whose random-phase probability is . Hence hard admissibility passes to every local limit. Compactness [F2], lower semicontinuity, and the entropy identity therefore give the pressure upper bound by the negative minimum in the statement. For the reverse bound, use the approximating finite-energy laws from step 1.3. Their independent separated blocks are admissible; the spatial likelihood theorem [F3] supplies typical blocks with likelihood cost , while empirical counts converge to . Changing from Poisson measure to the beta-zero weight gives the lower rate . Let and optimize over . Corridors change the normalized log weight by their vanishing volume fraction, so free and periodic rates agree.
Put , , and . The exact identity in step 2.1 reads . For , the entropy count inequality gives ; the convergent pressure rates therefore bound both and . The grand density and periodic hard-admissibility condition are invariant under translations modulo the box, so [F8] gives relatively compact continued laws. Every limit lies in by the bounded local forbidden-pair tests from step 1.2. Along a subsequence realizing the entropy liminf, [F8] and count-tail uniformity give The opposite inequality is the definition of the minimum. Thus every accumulation point is a minimizer. If there is just one, relative compactness forces convergence of the entire sequence in , including every stated tame test.
For the activity- Poisson law and a bounded cube , the finite-sector Poisson formula gives the expected number of unordered forbidden pairs as . This follows by cancelling against in the nonnegative sector sum; the remaining exponential sum cancels its Poisson normalization. If , Tonelli makes this expectation zero. Exhausting space by integer cubes shows that is hard-admissible almost surely. For all sufficiently large , the same null-set calculation covers every pair of distinct representatives and their countably many periodic images; self-image offsets , , lie outside the bounded set . Thus both finite grand laws are unrestricted Poisson restrictions, and their periodically continued laws converge on every bounded region to by [F7]. If , choose large enough that for every . Changing variables gives . This finite positive expectation implies positive probability of a forbidden pair, so . Finally excludes no distinct pair at all.
Interacting density-interval and upper-energy event limit
Statement
Assume AC, the ultrafilter extension principle, DC, and HB, and the superstable regular model and Poisson conventions of Superstable regular continuum grand pressure and variational formula, with stationary finite-intensity law space , intensity , specific entropy , and energy density as there defined. Let be an interval of positive length and define with the supremum of an empty set equal to and the infimum of an empty set equal to . If and , define Then has positive Poisson probability for all sufficiently large , and Let be the periodized empirical field of Periodized empirical field of a finite configuration, and let . Define For put ; at put . Then there are and for which the empirical fields under the conditional law and the matching periodic grand-canonical law concentrate in every open neighborhood of . If this minimizer set is a singleton, both empirical fields converge to it in probability in . For a finite-volume law and arbitrary event , define . Concentration and convergence in probability here mean for every stated open neighborhood ; on measurable events this is ordinary probability. The law-space evaluation sigma-algebra is generated by for measurable configuration events . These are empirical-field conclusions. The periodically continued conditional and grand laws also converge in under the same uniqueness assumption, for all measurable local observables of at-most-linear count growth. The energy constraint is an upper event and is nondegenerate; this does not assert exact , a shrinking shell, or a singular energy surface. In the branch the finite periodic weight is explicitly times the indicator that no displacement between the configuration and any periodic image lies in ; no value is assigned to .
Facts & Assumptions
Given: AC, the ultrafilter extension principle, DC, HB, and a superstable regular pair potential, positive-beta finite-volume definitions or the stated retained-admissibility zero-beta continuation, a nondegenerate density interval and strict energy feasibility.
Assume 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, and The real dominated-extension principle as an additional hypothesis over ZF, as required by the compactness and variational suppliers.
Superstable regular continuum grand pressure and variational formula: are lower semicontinuous on stationary laws, entropy levels are compact in , and free/periodic pressures have the stationary variational formula.
Compactness of Finite-Specific-Entropy Levels in the Local-Tame Topology: finite-entropy sublevels are compact and is lower semicontinuous in the local-tame topology.
Strictly separate a point from a nonempty closed convex Euclidean set: a closed convex subset of finite-dimensional Euclidean space can be separated from a point outside it.
Specific Relative Entropy Density: is the large-cube limit of finite-region relative entropies against the fixed Poisson reference.
Relative Entropy Variational, Chain, and Conditioning Rules: finite-region entropy obeys the product chain rule and is nonnegative.
Local-Tame Topology: is continuous in , since it is a local observable with linear count growth.
Periodized empirical field of a finite configuration and Stationarity and intensity of a periodized empirical field: the event configurations have stationary periodized empirical fields with the stated local-tame tests.
Periodic preparation and local-tame transfer from entropy bounds: torus-invariant laws with bounded entropy density have relatively compact periodically continued laws and uniformly integrable local counts; empirical-field convergence transfers to those laws.
Zero-inverse-temperature-parameter limit with forbidden pairs retained: the retained hard-admissibility partition has the variational minimum of on ; its minimizer set is nonempty and compact in .
Diagonal gap for a decreasing integrable interaction tail: the decreasing integrable envelope gives , with and diagonal gap choices whose relative width and normalized cross-energy error both vanish.
Cell-quadratic lower bound from superstability: for some and , the free energy obeys ; translation invariance gives the same bound on centered unit cells.
Georgii's published Theorem 4 (1994, Section 7, equations (2.32)–(2.33)) assumes a superstable regular pair potential, a nondegenerate density interval with , and . Its is the infimum of over stationary finite-entropy laws of density , hence equals here; our only ranges over finite-energy laws and so gives a condition at least as strong as the source's density condition. The theorem yields a finite supporting activity and a nonnegative multiplier , the common variational-minimizer accumulation result, and the periodic upper-energy event exponent. The displayed Theorem 4 on printed p.177 explicitly includes ; it asserts the stated raw-law accumulation conclusion, while empirical-field concentration is left to a separate argument (printed p.178). The retained weight convention is made explicit locally here. The theorem statement and its Section 7 proof were read in the published version.
Georgii–Zessin, Theorem 3.1, gives the Poisson-reference large-deviation upper and lower bounds for stationary empirical fields in the local topology, with rate the specific relative entropy . Its upper bound applies to closed sets and its proof is in Section 5.3. For the present application, is the stationary empirical field, , and for finite periodic energy (Georgii 1994, equation (2.16)). These are the Poisson empirical-field bounds used for event and conditional empirical-field upper estimates; they are separate from Theorem 4's nonnegative-multiplier raw-law conclusion.
Georgii's Theorem 2 (1994, Sections 3–5) gives the good local-topology large-deviation principle for the periodized empirical field under the positive-, positive-activity periodic grand law, with rate and zero set the variational minimizers. Its hypotheses include superstability and regularity and its proof was read in full.
Proof
Given: The hypotheses and suppliers in Facts & Assumptions.
Define and . For stationary finite-entropy laws , the binary-mixture chain rule on a bounded cube gives , with . Divide by and use [F4]; the label entropy vanishes, so is affine on finite mixtures. The expectation and finite-volume energy expectations are affine, hence their limits are affine where finite. Mixtures of feasible laws show is convex and concave. If and , choose near-minimizers with bounded . Compactness [F2] gives a convergent subsequence; continuity of by [F6] and lower semicontinuity of in [F1] show the limit is feasible with entropy no greater than the liminf. Thus is lower semicontinuous and upper semicontinuous; the same compactness argument attains every finite infimum. For strict feasibility, choose in the interior of below with a finite-energy, finite-entropy law . The inequality gives and a finite-entropy law with . If is at an endpoint of , mix with a sufficiently small positive amount of ; affinity of keeps the energy below and moves the density into the interior of .
Establish the approximation needed when the supporting energy coefficient vanishes. Fix with . Regularity makes bounded. Fix a corridor width greater than its maximum-norm radius and the two-sided tail cutoff. For integer , let be the event that all distinct pairs in have maximum-norm separation at least and energy at most . Simplicity, local finiteness and imply as . Choose positive integers with , and put independent copies of in cores , , leaving the corridors empty. Average the phase uniformly over and call the stationary law . Minimum separation bounds the particle number in each core by a finite packing bound depending on ; the pair-energy cutoff bounds its internal positive energy. Every cross-core displacement lies beyond the cutoff, so the summable envelope [F10] and the core particle bound make the absolute cross energy per tile finite. Thus and . Write . For and , expanding the conditioned density and using where gives . Independence, the Poisson void cost of the corridors, and convexity under phase averaging imply Indeed, on a large observation cube entropy is bounded by the sum of entropies of the intersecting independent tiles; boundary tiles contribute for fixed , and [F4] gives this bound. Hence . For any bounded local support , translate , and , stationarity gives . Integrability makes this uniformly small, first as and then . Thus conditioning changes expectations of translated local tame tests by a quantity tending to zero, uniformly when their support stays in one core. The fraction of phases whose support meets a corridor or two cores is ; there the uniform bound controls the count contribution, where is obtained by covering the at most core portions of by a fixed number of translated unit cells for all larger than the diameter of . Their contribution also tends to zero. Therefore in , in particular .
For the lower event bound, take a stationary law with , , and . The cell inequality [F11], stationarity, and imply a uniform bound on for large integer , hence on . They also give a uniform bound on , since the negative part is at most . Choose with . For each sufficiently large , let and . Markov's inequality gives . On , the cell inequality and give , where is the positive root bound for . The count-density loss under conditioning tends to zero by Cauchy–Schwarz and the uniform second-moment bound. The conditional expected energy density has limsup at most because the removed energy is positive. The entropy conditioning formula gives , where is Euler's number, so the conditioned block entropy per volume is at most . Choose with and set , increasing further so is large enough for the specific entropy and energy limits above. Then and . In a large periodic cube of side , put cores per coordinate, each of side , on a periodic grid of exact spacing . Thus every core is separated from every other core and its periodic images by at least , and the unoccupied fraction tends to . Put independent conditioned blocks in the cores and leave the complement empty. For two core indices at maximum-norm distance , the total absolute cross energy per core is at most , so its contribution per unit volume is at most by [F10], including the periodic image interactions across the outer boundary. The iid law of core counts and core energies gives the required density and within-core energy laws of large numbers; since the cross-energy error is uniformly bounded by , for large fixed the product block law assigns probability tending to one to as , with density in and energy below by strict margins. Relative to the Poisson reference on , the product block law has log density equal to the sum of the iid block log densities plus the corridor volume (the Poisson void cost). The block log density is integrable because its relative entropy is finite; truncation followed by the ordinary weak law gives its average limit. Therefore its typical log density per volume is at most as . On the intersection of with this typical set, changing measure back to gives . If a minimizing law lies on a constraint boundary, mix it with a strict feasible law; entropy affinity and lower semicontinuity show that the entropy infimum is unchanged. This proves the lower event bound and eventual positivity.
Put . The set is closed by [F1], lower semicontinuity of , and continuity of in . It is also evaluation-measurable: is the integral of a measurable local count, and is the countable integer-cube limit of finite-volume measurable energy expectations on its stated domain. These expectations are measurable by simple-function approximation of positive and negative parts, with stability controlling the negative part. Thus both constraint preimages are measurable. Likewise is closed and evaluation-measurable: it is the countable intersection, over integer cubes, of zero-probability conditions for bounded measurable local forbidden-pair events. For every configuration with finite , the periodized empirical field satisfies by [F7] and by Georgii's periodic-energy identity (1994, equation (2.16)); hence . The Poisson empirical-field upper bound of [L2], applied to this closed set, gives where is the minimum in the Statement. Together with step 2.1 this proves the event exponent. The exact periodic empirical field accounts for all long-range image interactions in this upper bound; no fixed empty corridor is used to discard them.
The tangent-plane argument in published [L1] separates the strict-feasibility constraint set in finite dimension [F3]. It supplies a finite and a nonnegative coefficient . When , the constrained entropy minimizers lie in the positive-beta grand variational minimizer set. To spell out the compatible retained-admissibility interpretation when the supporting coefficient is zero, write and let be a contact point. A supporting plane with energy coefficient gives for every finite-energy pair ; equivalently, every stationary finite-energy law satisfies . Equality holds at the constrained minimizers in contact. Any law in with finite is approximated in and density by finite-energy separated-block laws with , by step 1.2. Passing the inequality to the limit shows it holds on all of ; equality at a constrained minimizer identifies the same global minimum there. The finite-volume zero-beta weight remains throughout.
Let be an open neighborhood of the common grand minimizer set . That set is compact by [F1] for and [F9] for . Each member has a basic neighborhood contained in , given by finitely many strict inequalities in local tame expectations. Each expectation is evaluation-measurable by truncation and simple-function approximation. A finite subcover gives an open evaluation-measurable with . The set is closed and measurable by step 3.1. Its entropy infimum is strictly larger than : otherwise a sequence with in a compact entropy sublevel [F2] has a limit in that is a constrained minimizer, hence in by step 4.1, a contradiction. The measurable-set upper bound [L2] gives Since , division by the event probability from step 3.1 bounds the conditional outer probability outside by a quantity tending to zero. For the positive-beta grand law, apply the good-rate upper bound [L3] to the measurable closed set ; compact rate sublevels and its zero set inside give a strict positive gap. For the retained zero-beta grand law, its numerator outside is bounded by the Poisson integral of , where . Apply the measurable Laplace upper bound [L2] with the functional equal to on and elsewhere. It is lower semicontinuous, evaluation-measurable and bounded below by . For , apply the bounded-test entropy inequality [F5] to truncations of and use the Poisson formula . Removing the truncation, dividing by , and taking the integer-cube limit [F4] gives . Choosing shows that a bounded sublevel of has bounded . This rate is lower semicontinuous since is and is continuous; together with the closedness of and [F2], this proves compact sublevels. Its infimum on is therefore strictly larger than its global minimum. The denominator rate from [F9] cancels that global minimum. Thus this grand outer probability also tends to zero. Empty complement sets make the estimates immediate. A singleton minimizer gives convergence in probability in the stated outer sense in both branches.
The conditional law is torus-invariant and its entropy density is , which is bounded by the event limit. The matching grand law is torus-invariant as well. At positive beta its entropy density is bounded by the pressure identity, the superstable lower energy bound, and the Poisson entropy count inequality; at zero beta use the same identity with the hard indicator and omit the energy term. Consequently [F8] applies. Its transfer result converts step 5.1 into convergence of the periodically continued laws for every local tame observable under uniqueness. No zero extension outside the fundamental cube is used.
Periodic fixed-particle canonical limit
Statement
Assume AC, the ultrafilter extension principle, DC, and HB, and the superstable regular interaction of Superstable regular continuum grand pressure and variational formula, , and an interior attainable density . For integers with , let be the -normalized positional partition on the periodized cube, with the image convention of Superstable regular pair interactions and configurational ensemble notation. Then the same rate as the free cube. Let be the periodic exact- canonical law and its periodized empirical field from Periodized empirical field of a finite configuration. For any finite supporting activity of at , these empirical fields concentrate in every open neighborhood of the minimizer set of . Writing for this minimizer set, the concentration means for every open neighborhood of it. Here outer probability is as defined in Conditioning grand empirical fields on an exact particle number, and equals ordinary probability for measurable events. A singleton minimizer gives convergence in probability in this outer-probability sense in .
Facts & Assumptions
Given: AC, the ultrafilter extension principle, DC, HB, and a superstable regular even pair potential, positive inverse temperature, and an interior canonical density.
Superstable regular pair interactions and configurational ensemble notation: stability and regularity give the finite canonical integrals and the stated periodic-image convention.
Diagonal gap for a decreasing integrable interaction tail: separated-cell tails are summable and admit gaps with vanishing interaction per volume.
Canonical free-cube limit at every interior attainable density: the free exact- cube rate is at each interior density.
Canonical–grand-canonical thermodynamic duality: the canonical rate and grand pressure are convex duals; a supporting activity realizes equality.
Superstable regular continuum grand pressure and variational formula: free and periodic normalized-Poisson grand pressures have the same limit , with a nonempty compact minimizer set; the -normalized Lebesgue grand pressure is .
Conditioning grand empirical fields on an exact particle number: for either boundary condition, if the exact- rate is , its periodized empirical fields concentrate near the grand variational minimizer set. The four named choice hypotheses are required, and convergence uses outer probabilities as defined in that supplier.
Holder's inequality for integrals, including the endpoint cases: Hölder’s inequality makes the log of a finite positive Laplace integral convex in its scalar parameter.
Periodized empirical field of a finite configuration and Stationarity and intensity of a periodized empirical field: a finite configuration determines a stationary empirical field with intensity equal to its particle number divided by volume.
Georgii, Lemma 4.3, states for an empty corridor of width that the periodic/free energy discrepancy is bounded by , where is the lattice tail and . The complete lemma and proof were read; this is used only under its superstable regular hypotheses.
Proof
Given: The assumptions and suppliers in Facts & Assumptions.
For the upper bound, for every real . Divide logarithms by , use the free/periodic grand limit [F6], and then take the infimum over . The canonical-grand duality [F5] gives .
Fix corridor width larger than the tail cutoff. Restrict the particles to the inner cube of side , leaving the corridor empty. The exact- density is still . The diagonal-gap supplier [F2] gives the vanishing regular-tail cutoff used here. By [L1], the periodized energy differs from the free inner-cube energy by at most . The cell bound [F3] implies . Consequently The canonical theorem [F4] applies at the perturbed inverse temperature, giving the corresponding lower rate.
At fixed interior , is finite and convex as a function of , by Hölder’s inequality [F8], since each finite-volume log partition is convex and the pointwise limit is finite. A finite convex function is continuous on the open interval: on a compact subinterval, its secant slopes are bounded by the slopes to fixed exterior endpoints. Let in step 1.2 and then , so ; continuity yields .
Step 2.1 established the periodic exact- rate , and [F5] supplies a finite supporting activity. The grand pressure identity in [F6] and the periodized empirical field in [F9] satisfy the hypotheses of [F7] with periodic boundary condition. Hence the outer probability outside each open neighborhood of the minimizer set tends to zero; if the set is a singleton, this is convergence in probability in the stated sense.
Controlled shrinking energy-density shell and three-ensemble equivalence
Statement
Assume AC, the ultrafilter extension principle, DC, and HB, and the superstable regular model of Periodic fixed-particle canonical limit, an interior density , and differentiability of at . Put . Suppose the grand variational minimizer at a supporting activity is a singleton . Let be the periodized empirical field of Periodized empirical field of a finite configuration. There exists a specified sequence such that the uniform positional shell law is eventually defined, and its empirical field converges in probability in to . The free and periodic exact- canonical empirical fields and the matching periodic grand-canonical empirical field converge in probability to the same limit. Convergence in probability here uses outer probabilities for arbitrary open neighborhoods, as defined in Conditioning grand empirical fields on an exact particle number, and ordinary probabilities for measurable ones. The energy width ; no arbitrary prescribed width or zero-width surface measure is asserted.
Facts & Assumptions
Given: The four named choice hypotheses, interaction, density, differentiability, supporting activity, and singleton minimizer stated above.
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, and The real dominated-extension principle as an additional hypothesis over ZF carry the compactness assumptions of the variational and conditioning suppliers.
Periodic fixed-particle canonical limit: periodic exact- log partitions converge to , and their empirical fields concentrate near the supporting minimizer set; that statement alone supplies no exponential rate.
Fixed-particle local ensemble equivalence at interior density: free exact- empirical fields concentrate near the supporting grand minimizer set.
Superstable regular continuum grand pressure and variational formula: the grand variational minimizer set is compact in .
Periodized empirical field of a finite configuration and Stationarity and intensity of a periodized empirical field: periodized empirical fields are stationary laws with intensity .
Conditioning grand empirical fields on an exact particle number: under the four choice hypotheses, superstability, regularity, an interior density, a supporting activity, and the exact- canonical rate, for either boundary condition the outer probability outside every open neighborhood of the grand minimizer set has a strictly negative exponential rate.
Georgii's Theorem 2 (1994, Sections 3–5) gives the good large-deviation bounds on evaluation-measurable sets for periodized empirical fields under the periodic grand-canonical law, with zero set equal to its stationary variational minimizers. The complete Sections 3–5 proof was read; arbitrary open neighborhoods are handled below by measurable basic neighborhoods.
Proof
Given: The assumptions and suppliers in Facts & Assumptions.
Let be the periodic exact- canonical law. For , By [F1], the normalized log moment generating function converges to , whose derivative at zero is . For any fixed , choose small positive and negative so the Chernoff exponents for and are strictly negative. Hence the canonical probability outside the fixed -window tends to zero.
The supporting activity and singleton minimizer are given. The exact- periodic rate is [F1]; the choices in [A1], the superstable regular potential, and the empirical-field convention [F4] are precisely the other hypotheses of [F5]. Applying [F5] with periodic boundary gives, for every open , a constant with . This supplies the exponential estimate needed for the shell comparison.
Choose strictly increasing thresholds so that for every the probability outside the window is at most . Set and . Then and the canonical probability of the selected shell tends to one. Positivity of the canonical weight on the shell implies positive Poisson reference measure, so the shell law is defined eventually.
Let be any open neighborhood of and let be the selected shell event. On , the unnormalized periodic Boltzmann factor lies between and . For each measurable event, the normalization constants cancel when comparing conditional probabilities; taking infima over measurable supersets gives the same inequality for outer probabilities, so By step 2.1, . By step 1.2, the last outer probability has a strictly negative exponential rate. Since , the right side tends to zero. Thus the uniform shell empirical field converges in probability to .
For any open neighborhood of , choose a basic neighborhood of contained in , defined by finitely many strict tame-expectation inequalities. It is evaluation-measurable. The free exact- empirical fields concentrate on by [F2], so their outer probabilities outside vanish. The periodic grand empirical fields obey the good LDP [L1]; its unique zero is by [F3], so the measurable-set upper bound outside has a strictly negative rate by compactness of rate sublevels. As , its outer probability tends to zero. Together with steps 2.1 and 3.1, this proves the stated three-ensemble conclusion.
5 · Examples, experiments and counterexamples
None yet.
Sources
- 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
- D. Dereudre, Introduction to the theory of Gibbs point processes
- H.-O. Georgii and H. Zessin, Large deviations and the maximum entropy principle for marked point random fields