A product measure combines two measures into a measure on a . Let (X,A,μ)(X,\mathcal{A},\mu) and (Y,B,ν)(Y,\mathcal{B},\nu) be . Their is denoted by A⊗B\mathcal A\otimes\mathcal B. A measure μ⊗ν\mu\otimes\nu on (X×Y,A⊗B)(X\times Y,\mathcal{A}\otimes\mathcal{B}) is called a product measure if

(μ⊗ν)(A×B)=μ(A) ν(B)for all A∈A, B∈B.(\mu\otimes\nu)(A\times B)=\mu(A)\,\nu(B) \quad\text{for all }A\in\mathcal{A},\ B\in\mathcal{B}.

When μ\mu and ν\nu are σ\sigma-finite, such a measure exists and is uniquely determined by its values on rectangles; it is the measure used in and for iterated integration.

Examples
  • If λ\lambda is on R\mathbb{R}, the of λ⊗λ\lambda\otimes\lambda is Lebesgue measure on R2\mathbb{R}^2; the product sigma-algebra itself need not be complete. The analogous completion gives Lebesgue measure in higher dimensions.
  • If μ\mu and ν\nu are counting measures on N\mathbb{N}, then μ⊗ν\mu\otimes\nu is counting measure on N×N\mathbb{N}\times\mathbb{N}: for any finite set E⊂N×NE\subset \mathbb{N}\times\mathbb{N} one has (μ⊗ν)(E)=∣E∣(\mu\otimes\nu)(E)=|E|.