A convergent positive series of squared Wasserstein distances to measures with uniformly bounded second moments defines an intrinsic test function on any set with the map property; its gradient is the corresponding series of displacement fields, bounded by twice the series of distances, and its translation Hessian is twice the total weight times the identity.
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; optimal maps are those of the setting and the map property is that of that definition, and for an optimal map from to the class is that of The Optimal Map as a Square-Integrable Vector Field: Integrability, Transport Cost and Uniqueness of the Class §square-integrable; convergent series of real numbers and convergent series in the real Hilbert space are those of those items; and is the identity matrix of Real Matrices, Symmetric Matrices and the Semidefinite Ordering: Standing Notation §matrices.
Let have the map property, let , let be a sequence in with for every , and let be a sequence of positive real numbers whose series converges, with sum . Then the following hold.
1. (Convergence) For every the series and converge.
In the remaining clauses is the function, defined by clause 1, given by
2. (Test function) is an intrinsic test function on .
3. (Gradient) Let and, for every , let be an optimal map from to . Then the series converges in to the gradient along couplings , which exists by clause 2, and
4. (Translation Hessian) for every .
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