A probability measure on the product of a measurable space and a complete separable metric space is the composite of its first marginal with a probability kernel, and this kernel is unique up to a null set of the marginal.
In the setting of Measure Spaces and the Lebesgue Integral: Standing Notation, let be a measurable space, let be a complete and separable metric space with Borel -algebra , and let be a measure on the product -algebra with . Let be its first marginal, for ; it is the image measure of under the projection , which is measurable with respect to and by claim 5 of Sections of Product-Measurable Sets and Maps Are Measurable, and Insertion Maps into Products Are Measurable, hence a probability measure on by claim 1 of Image Measures, Measures with Densities, and Change of Variables. For a probability kernel from to we write , and is the composite measure of Integration Against a Probability Kernel: Measurable Sections, the Composite Measure on the Product and the Iterated Integral §composite.
1. (Existence) There is a probability kernel from to with ; by Integration Against a Probability Kernel: Measurable Sections, the Composite Measure on the Product and the Iterated Integral §composite and Integration Against a Probability Kernel: Measurable Sections, the Composite Measure on the Product and the Iterated Integral §rectangles this means
2. (Uniqueness) If and are probability kernels from to with , then the set of the with belongs to and has -measure .
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