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Suppose we have the probability space $(\Omega,\mathcal{A},P)$. Which of the following are right?

  1. $P$ is the probability measure defined on the events $\mathcal{A}$ as follows: $P:\mathcal{A}\rightarrow[0,1]$
  2. $P$ is the probability measure defined on the outcome space $\Omega$ as follows: $P:\Omega\rightarrow[0,1]$
  3. $X$ is a function $X:\mathcal{A}\rightarrow(E,\mathcal{E})$, where $(E,\mathcal{E})$ is a measurable space.
  4. $X$ is a function $X:\Omega\rightarrow(E,\mathcal{E})$, where $(E,\mathcal{E})$ is a measurable space.

Basically, I am unsure whether probability measures and random variables are defined on the state space $\Omega$, or the $\sigma-algebra$ $\mathcal{A}$, or both?

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    See: http://www.maths.kisogo.com/index.php?title=Random_variable and http://www.maths.kisogo.com/index.php?title=Measurable_map2015-07-01

2 Answers 2

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Probability measures assign values (probabilities) to sets in the $\sigma$-algebra $\mathcal{A}$. On the other hand, random variables are functions $f\colon \Omega\to E$ that are measurable in this sense: If $B \in \mathcal{E}$, then $f^{-1}(B) \in \mathcal{A}$.

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    We often want to know the probability that some particular "group of outcomes" will occur. For example, suppose we choose a number $x$ from $[0,1]$, and want to know the probability that \frac{7}{16} < x < \frac23. The probability is the measure of the set $(\frac{7}{16}, \frac23)$ which is a *subset* of the sample space $[0,1]$.2012-03-26
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1 and 4 are right. 2 and 3 are incorrect.

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    The question being from 2012, it's safe to assume the OP isn't struggling with that multiple choice question any more.2015-07-01