TheoremBase

Couplings of Finite Noise Cost and Their Noise Cost

A coupling of two Borel probability measures on the Hilbert space has finite noise cost when almost every displacement lies in the noise space and the mean squared noise norm of the displacement is finite; that mean is its noise cost. Two measures are noise-connected when they admit such a coupling.

Statement

In the setting of Probability Measures on a Hilbert Space Transported in the Noise Norm: Standing Notation, let μ,ν∈P(X)\mu,\nu\in\mathcal{P}(X), with Π(μ,ν)\Pi(\mu,\nu) the set of their couplings. By The Noise Space is a Real Hilbert Space: Orthonormal Basis, Continuous Embedding, Partial Sums, Closed Balls and Borel Measurability §pairs the set DaD_{a} belongs to B(X×X)\mathcal{B}(X\times X) and the function ca:X×X→Rc_{a}:X\times X\to\mathbb{R} is Borel and nonnegative, so that for every π∈Π(μ,ν)\pi\in\Pi(\mu,\nu) the number π(Da)\pi(D_{a}) is defined and the integral ∫X×Xca dπ\int_{X\times X}c_{a}\,d\pi of a nonnegative Borel function, as in Borel Probability Measures on a Real Hilbert Space with an Orthonormal Basis: Standing Notation §measures, is defined in [0,∞][0,\infty].

1. (Finite noise cost) A coupling π∈Π(μ,ν)\pi\in\Pi(\mu,\nu) has finite noise cost if π(Da)=1\pi(D_{a})=1 and ∫X×Xca dπ<∞\int_{X\times X}c_{a}\,d\pi<\infty.

2. (Noise cost) The noise cost of a coupling π∈Π(μ,ν)\pi\in\Pi(\mu,\nu) of finite noise cost is the nonnegative real number

Ia(π)=∫X×Xca dπ.I^{a}(\pi)=\int_{X\times X}c_{a}\,d\pi .

3. (Couplings of finite noise cost) Πa(μ,ν)\Pi^{a}(\mu,\nu) denotes the set of the couplings π∈Π(μ,ν)\pi\in\Pi(\mu,\nu) of finite noise cost.

4. (Noise-connected measures) The ordered pair (μ,ν)(\mu,\nu) is noise-connected if Πa(μ,ν)\Pi^{a}(\mu,\nu) is nonempty.

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