Proof of Sums, Real Multiples and Differences of Test Functions on the Wasserstein Space
lemmalem:test-function-wasserstein-linear-2026aVerifies the four conditions of the test-function definition for a sum and for a real multiple, using the linearity of the Frechet gradient, of the composition with a random vector and of second partial derivatives; differences follow by taking the multiplier minus one.
Each result cited is universally quantified over the data in its own statement.
Let and be the lifts of and , and let .
Claim 1. Since for , the lift of has the value at , and the lift of the value ; these lifts are therefore and . We verify the four conditions of Test Functions on the Wasserstein Space: the Intrinsic Gradient and the Translation Hessian §test for and for .
(a) and belong to by condition (a) for and for , the set being open in itself by The Wasserstein Space and Its Lift to Square-Integrable Random Vectors: Standing Notation §space. Hence and belong to , with
by Constants, Sums, Scalar Multiples and Differences of Differentiable Functions on an Open Subset of a Real Inner Product Space §sum and Constants, Sums, Scalar Multiples and Differences of Differentiable Functions on an Open Subset of a Real Inner Product Space §scalar.
(b) Let satisfy . By condition (b) for and for and by Test Functions on the Wasserstein Space: the Intrinsic Gradient and the Translation Hessian §gradient, and . The map is linear by Composition of a Square-Integrable Vector Field with a Random Vector, and the Lifted Score: Isometry, Norm, Weak Identity and Second-Moment Identity §composition, so by (a)
The fields and lie in , a linear subspace of by Basic Properties of the Tangent Space: Closed Subspace, the Identity Map Belongs to It, Second-Moment Limits, and Representation of Bounded Functionals on Gradients §closed, so and lie in as well. Thus condition (b) holds for and for at , with these fields, and was an arbitrary element of .
(c) Let and let be the functions and attached to and to at in The Translation Laplacian of a Function on the Space of Square-Integrable Random Vectors §translations; by condition (c) for and for they are of class on . The functions attached in the same way to and to are and , of class on by claim 3 of Constants, Coordinate Functions, Sums and Products of Functions on a Euclidean Open Set. So condition (c) holds for and for at every point of .
(d) and are continuous by condition (d), hence so are and by claim 5 of Continuity of Sums and Products of Real-Valued Functions on a Metric Space.
Therefore and are test functions, and by the uniqueness of the intrinsic gradient in Test Functions on the Wasserstein Space: the Intrinsic Gradient and the Translation Hessian §gradient the fields exhibited in (b) are the intrinsic gradients:
For the translation Hessians, fix with , which exists by The Wasserstein Distance and the Mean-Square Distance of Random Vectors §onto, and keep the notation of (c). The partial derivatives of and of exist at every point of , so by claim 1 of Constants, Coordinate Functions, Sums and Products of Functions on a Euclidean Open Set, and as functions on , for each index ; applying that claim once more, at , to these functions gives
for all indices and . The entries of a Hessian matrix are exactly these second partial derivatives, and matrices with the same entries are equal, so by Sum of Real Matrices, Scalar Multiple of a Real Matrix and Test Functions on the Wasserstein Space: the Intrinsic Gradient and the Translation Hessian §hessian,
Claim 2. In one has by claim 2 of Zero Products and Elementary Identities in a Field and the multiplicative identity axiom of the field , and by the notation for the difference fixed in Zero Products and Elementary Identities in a Field, so and as functions on . By claim 1, is a test function with intrinsic gradient and translation Hessian at , and then and are test functions with
In the real vector space one has by claim 5 of Elementary Identities in a Vector Space and by claim 2 of that lemma; for matrices, has the entries by Scalar Multiple of a Real Matrix and claim 2 of Zero Products and Elementary Identities in a Field, so and by Sum of Real Matrices and Difference of Real Matrices. Rewriting the four displayed identities accordingly gives the assertion.
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Prerequisites
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