Documentation

Graphon.RelInfiniteLaw

The infinite relational extension via compactness (AHK umbrella #103, R2b) #

The compactness-based extension of a RelExchangeableLaw to a probability law on the infinite structure space realizing its marginals (issue #105), the multi-sorted analogue of Graphon.ExchangeableGraphLaw.infiniteLaw. Assumptions: [Fintype S.Srt] [Countable S.Rel] — raw-product compactness is countability-free, but the subsequential weak compactness runs through the metrizable ProbabilityMeasure topology, which uses the countable-coordinate Polish structure.

Route (exactly as planned): pad each diagonal marginal to the infinite space, extract a weakly convergent subsequence (the space is compact), and identify every size-vector marginal of the limit using continuity of the restriction (continuous_restrictFin), eventual domination (exists_const_ge), and consistency.

Exchangeability of infiniteLaw is mathematically forced but is packaged and proved only in R2c, together with uniqueness and the finite/infinite-law equivalence.

Prokhorov extraction: on the (compact metrizable) infinite structure space, every sequence of probability measures has a weakly convergent subsequence.

The diagonal padded law at level N: the N-diagonal marginal pushed forward to the infinite structure space through the value-embedding padding.

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    The finite restriction of the diagonal padded level-N law is exactly the n-marginal, for every size vector n ≤ N (by the padding/restriction identity and consistency).

    Existence of the infinite law: a weak subsequential limit of the diagonal padded laws has every finite restriction equal to the corresponding size-vector marginal.

    The infinite relational extension realizing the marginals (compactness Kolmogorov extension): a probability law on the infinite structure space whose finite restrictions are the given marginals. (Exchangeability is forced but is packaged/proved in R2c.)

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      Marginal identification: each finite restriction of the infinite law is the corresponding size-vector marginal.