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AxiomOfChoice
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So a stochastic process (e.g., the simple random walk) is defined as a sequence of random variables. And random variables are defined as real-valued (measurable) functions on the sample space [itex]\Omega[/itex] of some probability triple [itex](\Omega, \mathcal M, \mathbb P)[/itex].
Question: In the case of the simple random walk - which is a sequence [itex]X_1, X_2, \ldots[/itex] of i.i.d. random variables such that [itex]\mathbb P (X_i = \pm 1) = 1/2[/itex], what on Earth is the sample space on which these random variables are defined? My best guess is that it's the set of all sequences of the form [itex](\pm 1, \pm 1, \pm 1, \ldots)[/itex], such that [itex]X_i[/itex] just spits out the [itex]i[/itex]th entry.
Question: In the case of the simple random walk - which is a sequence [itex]X_1, X_2, \ldots[/itex] of i.i.d. random variables such that [itex]\mathbb P (X_i = \pm 1) = 1/2[/itex], what on Earth is the sample space on which these random variables are defined? My best guess is that it's the set of all sequences of the form [itex](\pm 1, \pm 1, \pm 1, \ldots)[/itex], such that [itex]X_i[/itex] just spits out the [itex]i[/itex]th entry.
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