Existence and Uniqueness of Tensor Powers, and the Average of the Block Marginals
lemmaProbabilitylem:tensor-power-marginal-average-euclidean-2026aFor a probability measure on there is exactly one probability measure on giving each block rectangle the product of the factor masses; and for a probability measure on the average of its N block marginals is a probability measure on integrating by averaging.
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 . The block maps are those of Particle Blocks of the Configuration Space: Block Maps, Configurations, Product Maps and Diagonal Points §blocks, Borel by Particle Blocks: Linearity, Splitting of Inner Products, Product Maps and Diagonal Shifts §linear, so that for ; is the finite product.
1. (Tensor powers)¶ For every there is exactly one such that
2. (Average of the block marginals)¶ For every the function
is a probability measure on . For every Borel ,
and a Borel is integrable with respect to exactly when each is integrable with respect to , the same identity then holding.
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