Countable moment measures #
Adapted for Lean Pool from the Apache-2.0 upstream formalization, with module-system, Mathlib API, and compilation changes.
The closed unit disk in ℂ, as a compact measurable subtype.
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Countable products of the closed complex unit disk.
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Coercions from the closed unit disk have norm at most one.
Package a complex number whose norm is at most one as a point of the closed unit disk.
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The zero point of the closed complex unit disk.
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Compact standard Borel structure for the product closedDisk^J.
Compactness of probability measures on a compact metrizable space.
The bounded continuous test function for the (j,k) moment.
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Complex-valued weak-continuity of integration of a bounded continuous test function.
The map sending a probability measure to its (j,k) moment is continuous.
The closed set of probability measures satisfying one prescribed moment.
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Closedness of one moment constraint.
Restriction of a positive-contraction kernel to a finite subtype. This is the adapter needed before applying the finite Olevskii realization to finitely many coordinates of a countable kernel.
Coordinates appearing in a finite set of requested moment pairs.
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The restricted Lebesgue measure on the ambient [0,1] is a probability measure.
Build a disk-product sample from finitely many bounded coordinate functions.
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The finite disk-product sample map is measurable for the restricted unit-interval measure.
Push the restricted unit-interval measure forward through a finite disk-product sample.
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Moments of the finite disk-product sample agree with the original finite coordinate functions for coordinates in the finite coordinate set.
Finite satisfiability of moment constraints, obtained by applying the finite Olevskii realization theorem to the coordinates appearing in the finite set of pairs and pushing the restricted unit-interval measure forward to the full disk product.
Finite intersection property in the compact space of disk-product probability measures.
If every finite family of moment constraints is satisfiable, then there is one probability measure satisfying all countably many constraints.
Finite-intersection step for finitely many moment constraints.
Countable moment measure obtained from finite satisfiability and compactness.