How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Stable finite-range continuum specification normalization and consistency
Statement
Assume the Axiom of Choice and fix . For every bounded Borel set and , the unit-intensity Poisson law restricted to , represented on ordered simple tuples in before forgetting labels, is the pushforward of times product Lebesgue measure. Now fix a nonempty bounded Borel region , a stable even Borel pair potential with finite range as in Finite-range continuum Gibbs kernels and DLR notion, a locally finite exterior configuration , and . Let , with . Then the partition integral in Finite-range continuum Gibbs kernels and DLR notion obeys Consequently is a Borel probability kernel in . For every nonempty bounded Borel region , the extended kernels satisfy , and their fixed measures are exactly the probability laws whose conditional distribution inside each , given the exterior, is .
Facts & Assumptions
Given: The Axiom of Choice, the dimension, region, stable finite-range potential, exterior configuration, activity, inverse-energy parameter, and reference conventions stated above; for the fixed-measure equivalence let be any probability measure on configuration space.
Finite-range continuum Gibbs kernels and DLR notion defines the simple locally finite configurations, , , , and the DLR fixed-kernel identity.
The current draft Stability, superstability and regular tails defines stability by for a finite , every finite position list , and every . Enumerating the distinct points of gives ; applying the same bound to any two-point list gives for every nonzero separation. This carrier is a definition, so no proof-status claim is used.
Poisson Configuration Reference constructs as a product of independent half-open unit-cell Poisson configurations, each of Lebesgue volume one. In each cell the count has mass , and conditional on that count the point coordinates are independent and uniform before sorting. The configuration sigma-algebra is generated by bounded-set counts.
Poisson Reference Counts and Translation Invariance states that is Poisson with mean , disjoint bounded restrictions are independent, and
The factorial and the falling factorial , defined by recursion in defines the finite factorials; The multinomial coefficient as the number of ordered partitions of an -set into blocks of prescribed sizes defines the number of label allocations, and The multinomial coefficient equals , and in proves that the number with counts summing to is .
The real exponential function and the number by a power series defines for real , and The exponential addition formula gives .
Monotone convergence for the measure integral permits increasing nonnegative partial sums and integrals to pass to their pointwise limit.
Tonelli's theorem for nonnegative measurable functions on a sigma-finite product permits nonnegative integration in either order and makes parameter integrals of nonnegative jointly measurable functions measurable. For the exterior parameter below, apply it to the finite measures and restricted to the measurable exterior subspace .
Dynkin's pi-lambda theorem gives the pi-lambda theorem: a lambda-system containing a generating pi-system contains its generated sigma-algebra.
Every nonnegative measurable function admits an explicit increasing sequence of simple approximations: every nonnegative measurable function is the increasing pointwise limit of simple measurable functions.
Proof
Let be any bounded Borel set. It meets finitely many half-open unit cells . Put and . Conditional on points in a cell, the iid uniform-position rule in [F3] gives the labelled sector density . Splitting the labels between and yields assignments by [F5]; integrating the outside coordinates and summing over gives by [F6], since . Tonelli and monotone convergence [F7, F8] justify the nonnegative sector sum and integral. The cells are independent by [F3]. For total count across their finitely many pieces, the label assignments for counts number by [F5]; partitioning by these assignments shows that the -point sector on has density against product Lebesgue measure. The collision diagonals have product measure zero because Lebesgue measure has no atoms; this is also the simplicity convention in [F3]. Thus the density pushes to the sector on unordered simple configurations. Zero-volume pieces contribute no points.
Put . The distance map is -Lipschitz, so is a bounded Borel set. For bounded Borel , the product sigma-algebra generated by Borel rectangles in is its relative Euclidean Borel sigma-algebra: relative open rectangles from countable Euclidean bases form a countable base for , so every open set is a countable union of such rectangles; conversely Borel rectangles are Borel because coordinate projections are continuous. The map is continuous, and for every Borel , the preimage of under is the continuous preimage of the Borel set . Hence is Borel on these products and on their off-diagonal Borel subspaces.
If has points, [F2] gives its internal energy at least and pair potential at least at every distinct separation. There are at most interior-to-exterior pairs in , so . The empty configuration has and , proving the lower bound. The sector density from step 1.1 gives
Define for Borel , and define for Borel . On a restricted rectangle , the first measure evaluates to for Borel , measurable by [F3]; the second evaluates to for Borel , , jointly measurable in . These are finite measures: their total masses are respectively and , where . For either family, the sets whose pair-count evaluations are measurable form a lambda-system: the whole space has measurable total mass, complements subtract from that finite mass, and disjoint unions give pointwise limits of measurable partial sums. Restricted Borel rectangles form a pi-system generating each off-diagonal product Borel sigma-algebra, so [F9] gives measurability of the pair-count evaluations on every Borel subset. By stability on two-point lists [F2], the shifted Borel function is nonnegative on both off-diagonal pair spaces. Apply [F10] there to obtain increasing nonnegative simple Borel functions converging to . Each simple-function integral is a finite linear combination of the measurable pair-count evaluations, so its pointwise limit, the integral of , is measurable in or in as appropriate. Subtracting times the measurable total pair count gives the signed pair integral without losing measurability; the subtraction is of a finite real quantity, and a value remains . Evenness makes the internal unordered-pair energy half its ordered-pair integral. Thus and are jointly measurable.
The exterior subspace is measurable by [F3], and its restriction of is a finite measure; together with the probability , this permits Tonelli [F8] for each map , where is a measurable interior event. Taking to be the whole space shows is measurable. Step 2.1 gives , so division defines a probability and makes measurable for every . This is the probability-kernel condition.
Under , the restrictions to disjoint and are independent by [F4]. Write an interior configuration as , with . Every finite pair term in either touches , in which case it is a term of , or does not touch , in which case it depends only on . Likewise . Thus, for fixed , the conditional density of under is proportional to relative to ; its normalizer is finite and positive by step 2.1. It is exactly , proving after nonnegative iterated integration over by [F8].
The extended kernel leaves the exterior fixed. For an interior event and exterior event , apply to the full-configuration test . This gives for every exterior event . This is the defining conditional-expectation identity, so is a version of the conditional interior law given the exterior. Conversely, if those conditional identities hold, the probability measures and agree on every rectangle generated by an interior and an exterior event. Such rectangles form a pi-system and generate the full configuration sigma-algebra because each bounded-set count splits into its parts in and by [F3]. The sets on which the two probability measures agree form a lambda-system; [F9] therefore gives . This proves the stated equivalence.
Steps 2.1, 3.1, 4.1, and 4.2 establish, respectively, finite positive normalization, Borel-kernel measurability, specification consistency, and the DLR conditional-law interpretation. No infinite-volume existence, uniqueness, or minimizer-identification claim was used.
Depends on
Finite-range continuum Gibbs kernels and DLR notion
Stability, superstability and regular tails
Poisson Configuration Reference
The Axiom of Choice
Poisson Reference Counts and Translation Invariance
Every nonnegative measurable function admits an explicit increasing sequence of simple approximations
The factorial and the falling factorial , defined by recursion in
The multinomial coefficient as the number of ordered partitions of an -set into blocks of prescribed sizes
The multinomial coefficient equals , and in
The real exponential function and the number by a power series
The exponential addition formula
Monotone convergence for the measure integral
Tonelli's theorem for nonnegative measurable functions on a sigma-finite product
Dynkin's pi-lambda theorem