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In mathematics, given two measurable spaces and measures on them, one can obtain the product measurable space and the product measure on that space. Conceptually, this is similar to defining the Cartesian product of sets and the product topology of two topological spaces.

Let (X_1, \Sigma_1) and (X_2, \Sigma_2) be two measure spaces, that is, \Sigma_1 and \Sigma_2 are sigma algebras on X_1 and X_2 respectively, and let \mu_1 and \mu_2 be measures on these spaces. Denote by \Sigma_1 \times \Sigma_2 the sigma algebra on the Cartesian product X_1 \times X_2 generated by subsets of the form B_1 \times B_2, where B_1 \in \Sigma_1 and B_2 \in \Sigma_2.

The product measure \mu_1 \times \mu_2 is defined to be the unique measure on the measurable space (X_1 \times X_2, \Sigma_1 \times \Sigma_2) satisfying the property

(\mu_1 \times \mu_2)(B_1 \times B_2) = \mu_1(B_1) \mu_2(B_2)

for all

B_1 \in \Sigma_1,\ B_2 \in \Sigma_2.

In fact, for every measurable set E,

(\mu_1 \times \mu_2)(E) = \int_{X_2} \mu_1(E^y)\,\mu_2(dy) = \int_{X_1} \mu_2(E_{x})\,\mu_1(dx),

where Ex = {yX2|(x,y)∈E}, and Ey = {xX1|(x,y)∈E}, which are both measurable sets.

The existence and uniqueness of this measure is guaranteed by the Hahn-Kolmogorov theorem.

The Borel measure on the Euclidean space Rn can be obtained as the product of n copies of the Borel measure on the real line R.


Measure theory | Integral calculus

Произведение мер | ปริภูมิเมเชอร์ผลคูณ | 积测度

 

This article is licensed under the GNU Free Documentation License. It uses material from the "Product measure".

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