The Mean of a Square-Integrable Probability Measure, Its Lift, Its Centring, and Functions of the Mean and Centred Integrals as Test Functions
lemmaAnalysisProbabilitylem:mean-centring-wasserstein-2026aThe mean of a square-integrable measure is the expectation of any lift, is 1-Lipschitz for the Wasserstein distance and shifts under translations; the centred measure has mean zero, is translation invariant and 2-Lipschitz in ; a function of the mean is a test function with constant gradient and Hessian the Euclidean Hessian; and the integral of a bounded function against the centred measure is a translation-invariant test function with an explicit centred gradient and zero translation Hessian.
In the setting of Square-Integrable Vector Fields Against a Probability Measure on Euclidean Space, and Test Functions: Standing Notation, the Wasserstein space , the space with the law of a class, and the constant classes and translations are as fixed there; push-forwards are those of Probability Measures on Euclidean Space and Random Vectors: Standing Notation §pushforward; is the second moment; points of are read as -tuples by Euclidean Points as Tuples of Real Numbers, the th coordinate of being , and the coordinates of a random vector are those of Random Vector and Its Law §coordinates; for a Borel map with its class in is again written , as in Square-Integrable Vector Fields Against a Probability Measure on Euclidean Space, and Test Functions: Standing Notation §l2mu. Test functions on , their intrinsic gradients and translation Hessians are those of that definition, which requires to be rich; the gradient and Hessian matrix of a function of class on are those of Differential Calculus and Convexity on Euclidean Open Sets: Standing Notation §derivatives, being open by claim 1 of Euclidean Space is Open in Itself, and Maps are Continuous; and denotes the matrix all of whose entries are , an element of the set of Differential Calculus and Convexity on Euclidean Open Sets: Standing Notation §background. Then the following hold.
1. (The mean)¶ Let . For every the coordinate map is Borel and integrable with respect to ; the mean of is the point whose th coordinate is . For every with and every representative of , each coordinate is integrable with respect to and . Moreover ; for every ; and for every .
2. (Centring)¶ Let . The centred measure belongs to and satisfies , , , and for every ; for every with one has ; and for every ,
3. (Functions of the mean)¶ Assume that is rich, and let be of class on . Then is a test function on ; at its intrinsic gradient is the class of the constant map and its translation Hessian is .
4. (Centring of a test function)¶ Assume that is rich, and let be a test function on . Then , , is a test function on with for all and , and its translation Hessian is at every . Its intrinsic gradient at is obtained as follows: for every representative of , each coordinate of is integrable with respect to , the point with coordinates and the class in of the Borel map do not depend on the representative, and
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