On a set of measures with the map property, the squared Wasserstein distance to a fixed measure is an intrinsic test function whose gradient is twice the optimal displacement and whose translation Hessian is twice the identity; a twice continuously differentiable function of the mean is an intrinsic test function on every set, with constant gradient and translation Hessian given by its own derivatives at the mean.
In the setting of The Intrinsic Calculus on the Wasserstein Space: Standing Notation, intrinsic test functions on a subset of , their gradients along couplings and their translation Hessians are those of that definition, and is the mean of . Being of class on , the gradient and the Hessian matrix are those of Differential Calculus and Convexity on Euclidean Open Sets: Standing Notation (ii), being open by claim 1 of Euclidean Space Is Open in Itself, and is the identity matrix of Euclidean Space and Real Matrices: Standing Notation (ii). For and , the class in of the constant map with value is again written , as in Gradients of Functions with Bounded Derivatives Belong to the Tangent Space; Constants Are Tangent; the Score Identity; the Score Has Mean Zero; Translation of Tangent Fields.
1. (The squared distance to a fixed measure) Let have the map property, let , and let be the function . Then is an intrinsic test function on . For and any optimal map from to ,
and for every .
2. (Functions of the mean) Let , let be of class on , and let be the function . Then is an intrinsic test function on , with
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