Composing a coarse-level noise intrinsic test function with push-forward by the mode restriction gives a fine-level test function whose gradient is the pulled-back coarse gradient; in particular the squared coarse distance from the restricted measure to a fixed measure is a fine test function with an explicit gradient of norm twice that distance.
In the setting of The Real Numbers: Standing Notation and Background and Two Noise Levels over Hilbert Spaces: a Fine and a Coarse Reading of the Noise Framework and Level-Indexed Notation, let levels 1 and 2 be as in Two Noise Levels over Hilbert Spaces: a Fine and a Coarse Reading of the Noise Framework and Level-Indexed Notation §levels, with the level-indexed notation of Two Noise Levels over Hilbert Spaces: a Fine and a Coarse Reading of the Noise Framework and Level-Indexed Notation §notation, and let be a mode-restriction link from level 1 to level 2, with mode restriction and mode embedding . Suppose that , so that for every by Properties of a Mode-Restriction Link: Isometric Embedding, Contraction of Noise Norms and Noise Wasserstein Distances, and Pull-Back of Cylindrical Functions and Tangent Fields §space; for , is the function . Let and satisfy for every . Noise intrinsic test functions on and their gradients along noise couplings, written , are taken at level ; for and , is the class of Properties of a Mode-Restriction Link: Isometric Embedding, Contraction of Noise Norms and Noise Wasserstein Distances, and Pull-Back of Cylindrical Functions and Tangent Fields §fields. The noise map property, noise-optimal maps and their displacements for are taken at level 2, and denotes . Then the following hold.
1. (Pull-back of test functions) Let be a noise intrinsic test function on at level 2. Then is a noise intrinsic test function on at level 1, and
2. (The squared coarse distance) Suppose that has the noise map property at level 2, and let . Let be the function
which is defined because and any two members of are noise-connected at level 2 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. Then is a noise intrinsic test function on at level 1. For a noise-optimal map from to at level 2 exists by the noise map property of , since , and the class does not depend on its choice by The Noise Map Property of a Set of Probability Measures §map-property, taken at level 2. For every such and ,
For every ,
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