Product probability space ($({\prod }_i{X}_i,{⨂}_i{\mathcal{F}}_i,{⨂}_i{\mu }_i)$)

For finitely many probability spaces $(X_i,{\mathcal{F}}_i,{\mu }_i)$, their product probability space has underlying set ${\prod }_i{X}_i$, the product sigma-algebra and product measure ${⨂}_i{\mu }_i$. The coordinate projections are jointly independent: for measurable $B_i\subseteq X_i$, the probability of all coordinate conditions is ${\prod }_i{\mu }_i(B_i)$. Conversely a family of independent coordinates has this product joint distribution. Product structure permits coordinate exposure and independent resampling in concentration arguments.