Let {Xn}\{X_n\} be a sequence of random variables and define ℱn′=σ(Xn+1,Xn+2,…) \mathcal{F}_{n}' = \sigma(X_{n+1}, X_{n+2}, \dots) , n=1,2,… n = 1, 2, \dots . The tail σ\sigma-field 𝒯\mathcal{T} is defined as 𝒯=∩nℱn′\mathcal{T} = \cap_{n}\mathcal{F}_{n}'. If A∈𝒯A \in \mathcal{T} we call AA a tail event, and if a random variable is measurable with respect to 𝒯\mathcal{T} we call it a tail random variable.