Definition:Adapted Stochastic Process
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Definition
Discrete Time
Let $\struct {\Omega, \Sigma, \sequence {\FF_n}_{n \mathop \in \N}, \Pr}$ be a filtered probability space.
Let $\sequence {X_n}_{n \mathop \in \N}$ be a sequence of real-valued random variables.
We say that $\sequence {X_n}_{n \mathop \in \N}$ is an adapted stochastic process if and only if:
- $X_n$ is $\FF_n$-measurable random variable for each $n \in \N$.
Continuous Time
Let $\struct {\Omega, \Sigma, \sequence {\FF_t}_{t \ge 0}, \Pr}$ be a filtered probability space.
Let $\sequence {X_t}_{t \ge 0}$ be a $\hointr 0 \infty$-indexed family of real-valued random variables.
We say that $\sequence {X_t}_{t \ge 0}$ is an adapted stochastic process if and only if:
- $X_t$ is $\FF_t$-measurable for each $t \in \hointr 0 \infty$.