Constant functions are noise intrinsic test functions with zero gradient, and real linear combinations of noise intrinsic test functions are again such functions, with the corresponding linear combination of gradients; the identity is a noise-optimal map from a measure to itself and the push-forward of the measure under (id, id) is its only noise-optimal self-coupling; the discrepancy of two noise fields along that coupling is their squared distance; and the square roots of discrepancies satisfy a triangle inequality along a glued composite coupling.
In the setting of First-Order Equations on the Noise Wasserstein Space Relative to a Noise Penalty Pair: Standing Notation, let be the identity map of (First-Order Equations on the Noise Wasserstein Space Relative to a Noise Penalty Pair: Standing Notation §maps). For , the zero element of the real Hilbert space of Probability Measures on a Hilbert Space Transported in the Noise Norm: Standing Notation §fields is the class of the constant map with value , by The Space of Square-Integrable Hilbert-Valued Maps is a Real Hilbert Space: Coordinates and Synthesis §hilbert, being the zero vector of by The Noise Space is a Real Hilbert Space: Orthonormal Basis, Continuous Embedding, Partial Sums, Closed Balls and Borel Measurability §hilbert; 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, and is its push-forward of Borel Probability Measures on a Real Hilbert Space with an Orthonormal Basis: Standing Notation §pushforward. For , , and , the discrepancy is the nonnegative real number of that clause, and square roots are the nonnegative square roots of Existence and Uniqueness of the Nonnegative Square Root. Noise intrinsic test functions, noise-optimal maps with their displacements, noise-optimal couplings and uniquely noise-mapped pairs are those of First-Order Equations on the Noise Wasserstein Space Relative to a Noise Penalty Pair: Standing Notation §gradients and First-Order Equations on the Noise Wasserstein Space Relative to a Noise Penalty Pair: Standing Notation §maps. In claim 5, , the maps on it, gluings and the composite coupling are those of Gluing Two Couplings on a Hilbert Space over a Common Middle Marginal, and the Triangle Inequalities for the Quadratic and Noise Costs; the letters always denote these maps, and the letter without index a noise field. Then the following hold.
1. (Constant test functions) Let , let , and let be the constant function with value . Then is a noise intrinsic test function on , and for every .
2. (Linear combinations) Let , let be noise intrinsic test functions on , let , and let be the function with value at . Then is a noise intrinsic test function on , and
the right-hand side being formed in the real vector space .
3. (The identity) Let . Then is a noise-optimal map from to , and its displacement is ; the coupling is the only noise-optimal coupling of and ; consequently the ordered pair is uniquely noise-mapped; and .
4. (Discrepancies along ) Let , let , and let . Then , , and
5. (Discrepancies along a glued composite coupling) Let , the set of The Second Moment of a Borel Probability Measure on a Hilbert Space and the Probability Measures with Finite Second Moment §space; let and , let be a gluing of and , and let , which belongs to by Gluing Two Couplings on a Hilbert Space over a Common Middle Marginal, and the Triangle Inequalities for the Quadratic and Noise Costs §composite, both applied with in place of its . Let , and . Then
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