Tensor Powers and One-Particle Marginals: Particle Laws, Product Integrals, Push-Forwards, Moments, Product Maps and Diagonal Shifts
lemmaProbabilitylem:tensor-marginal-properties-euclidean-2026aUnder a tensor power each particle has the factor law and any two particles are independent; tensor powers commute with product maps and diagonal shifts; the one-particle marginal of a tensor power is the factor; second moments scale by N; and product maps integrate against a measure on the configuration space through its one-particle marginal.
In the setting of Wasserstein Spaces, Random Vectors, Vector Fields and Symmetric Matrices in Every Dimension: Standing Notation, whose probability space is not used (the letter below denotes a probability measure on a configuration space), let . Block maps , product maps and diagonal points are those of Particle Blocks of the Configuration Space: Block Maps, Configurations, Product Maps and Diagonal Points §blocks and the clauses just cited, finite products are written , tensor powers those of The Tensor Power of a Probability Measure on Euclidean Space §tensor and one-particle marginals those of The One-Particle Marginal of a Probability Measure on the Configuration Space §marginal; and the pairing of maps are those of Probability Measures on Euclidean Space and Random Vectors: Standing Notation §pairs, and is the translation by . Let and .
1. (Particle laws)¶ for every , and for all with .
2. (Product integrals)¶ For bounded Borel ,
3. (Push-forwards)¶ For Borel , and .
4. (One-particle marginal of a tensor power)¶ .
5. (Second moments)¶ and in . Hence when , and exactly when .
6. (Product maps)¶ For Borel ,
and if satisfies then .
7. (Diagonal shifts)¶ For , and .
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