TheoremBase

The Supremum of a Bounded Right-Continuous Process is a Random Variable

Statement

Let (Ω,F,P)(\Omega,\mathcal{F},P) be a probability space, let T>0T>0 and K≥0K\ge0 be real numbers, and let (Zt)t∈[0,T](Z_t)_{t\in[0,T]} be a family of random variables on (Ω,F,P)(\Omega,\mathcal{F},P). Let DD be the set of dyadic partition points of [0,T][0,T], that is, the set of all numbers of the form k T 2−nk\,T\,2^{-n} where nn is a natural number or zero and k∈{0,1,…,2n}k\in\{0,1,\dots,2^n\}.

Suppose there is an event Ω0∈F\Omega_0\in\mathcal{F} with P(Ω0)=1P(\Omega_0)=1 such that for every ω∈Ω0\omega\in\Omega_0 both of the following hold.

1. (Boundedness along the path.) ∣Zt(ω)∣≤K|Z_t(\omega)|\le K for every t∈[0,T]t\in[0,T].

2. (Right-continuity.) The path t↦Zt(ω)t\mapsto Z_t(\omega) is right-continuous at every t∈[0,T)t\in[0,T), meaning that for every ε>0\varepsilon>0 there is η>0\eta>0 with ∣Zs(ω)−Zt(ω)∣≤ε|Z_s(\omega)-Z_t(\omega)|\le\varepsilon whenever t≤s≤min⁡(t+η,T)t\le s\le\min(t+\eta,T).

Write 1Ω0\mathbf{1}_{\Omega_0} for the function equal to 11 on Ω0\Omega_0 and 00 elsewhere, and define

Z‾=sup⁡t∈D(∣Zt∣ 1Ω0).\overline{Z}=\sup_{t\in D}\big(|Z_t|\,\mathbf{1}_{\Omega_0}\big).

Then Z‾\overline{Z} is a random variable with 0≤Z‾≤K0\le\overline{Z}\le K, and

Z‾(ω)=sup⁡t∈[0,T]∣Zt(ω)∣for every ω∈Ω0.\overline{Z}(\omega)=\sup_{t\in[0,T]}|Z_t(\omega)|\qquad\text{for every }\omega\in\Omega_0 .

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