Created by Knut M. Synstadfrom the Noun Project

Stochastic Process

Definition (Stochastic Process)

Let (Ω,F,P)(\Omega,\mathcal{F},P) be a probability space. Let T=N\mathbb{T}=\mathbb{N}. A stochastic process on (Ω,F,P)(\Omega,\mathcal{F},P) indexed by T\mathbb{T} is a family (Xt)t∈T(X_{t})_{t\in\mathbb{T}} of RVs on (Ω,F,P)(\Omega,\mathcal{F},P) i.e. ∀t∈T:∀B∈B(R):Xt−1(B)∈F\forall t\in\mathbb{T}:\forall B\in\mathcal{B}(\mathbb{R}):X_{t}^{-1}(B)\in\mathcal{F} We define a stochastic process as a sequence of random variables, {Xn(ω):n∈N}\{ X_n(\omega) : n\in\mathbb{N}\} , such that:

  1. For each n≥0n\ge 0, Xn:Ω→RX_n:\Omega\to\mathbb{R}
  2. For each ω∈Ω\omega\in \Omega, {Xn(ω):n∈N}\{X_n(\omega):n\in\mathbb{N}\} is called a trajectory
  3. Since {Xn(ω):n∈N}\{X_n(\omega):n\in\mathbb{N}\} depends on ω\omega, the trajectory is random.

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