Defines a noise-optimal transport map between two measures (a Borel map pushing one to the other whose displacement lies in the noise space with finite noise cost and whose induced coupling is noise-optimal), uniquely noise-mapped pairs, and the noise map property of a set of measures.
In the setting of Probability Measures on a Hilbert Space Transported in the Noise Norm: Standing Notation, let belong to the set of The Measures Noise-Connected to the Reference Measure §space, and let be the set of couplings of finite noise cost of and . The ordered pair is noise-connected by The Noise Wasserstein Distance is a Metric on the Measures Noise-Connected to the Reference Measure: Existence of Noise-Optimal Couplings, Comparison with the Quadratic Wasserstein Distance and Lower Semicontinuity §connected, so that noise-optimal couplings of and , those of Noise-Optimal Couplings §optimal, are defined. Let be the identity map of and let be the Borel function of The Noise Space is a Real Hilbert Space: Orthonormal Basis, Continuous Embedding, Partial Sums, Closed Balls and Borel Measurability §borel. For a Borel map the map of Borel Probability Measures on a Real Hilbert Space with an Orthonormal Basis: Standing Notation §pairs is Borel by Borel Sets of a Hilbert Space with an Orthonormal Basis: Coordinates, Determination by Finite-Dimensional Projections, and Pairs §pairing; hence, by claims 3 and 4 of Borel Measurability and Bounded Integration on a Metric Space, the map from to , the composite of with the continuous map , is Borel, and the function , the composite of with the Borel function of The Noise Space is a Real Hilbert Space: Orthonormal Basis, Continuous Embedding, Partial Sums, Closed Balls and Borel Measurability §pairs, is Borel and nonnegative, so that its integral against is defined in .
1. (Noise-optimal map) A Borel map is a noise-optimal map from to if , for every ,
and the coupling , which belongs to by Couplings of Finite Noise Cost: the Support Bound, Swap, Displacement Couplings and Lower Semicontinuity of the Noise Cost §displacement, is noise-optimal. For such the map , , is measurable by The Noise Space is a Real Hilbert Space: Orthonormal Basis, Continuous Embedding, Partial Sums, Closed Balls and Borel Measurability §measurable and square-integrable with respect to in the sense of The Space of Square-Integrable Maps from a Measure Space into a Hilbert Space with an Orthonormal Basis §space, since for every ; its class in is again written .
2. (Uniquely noise-mapped pair) The ordered pair is uniquely noise-mapped if there is a noise-optimal map from to such that every noise-optimal coupling of and equals .
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