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Probabilities and Set Theory

We say that an event A E A is nearly certain if A is nearly certainly equal to OMEGA. In other words, OMEGA = AUN , where N is a negligeable set.

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In probability, all the possible outcomes of an experiment are collected in a set called the sample space. If Omega is used to represent the sample space, we can consider certain subsets of Omega to define events. We create a set F of subsets of Omega and require certain properties of those subsets to hold, thus creating a "sigma-algebra" of subsets of Omega.

The sigma-algebra, F, by definition has the properties that:

1) The empty set is an element of F
2) If E is an element of X, then so is the complement of E.
3) If E1, E2, ... is a sequence in F, then their countable union is in F.

The pair (Omega, F) is called a measureable space, being a set and a sigma-algebra over that set.

A measure, mu, is a function defined from a sigma-algebra, like F, to the set of ...

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A proof involving probability and set theory is provided.

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