November 2012
Intermediate to advanced
794 pages
22h 9m
English
book
Probability, Random Variables, and Random Processes: Theory and Signal Processing Applications
by John J. Shynk
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3.2 FUNCTIONS AND MAPPINGS
Previously, a probability measure was applied to the event space 
which satisfies three properties and provides information about the sizes of those events. These properties are known as the three axioms of probability. The Vitali set is an example of a subset of 
that is not measurable. On the other hand, the Borel σ-field is measurable, which is easily demonstrated for the Lebesgue measure.
Example 3.1 (Borel set). Let [a, b] for 
be a closed interval in 
. Then (i) 
and (ii) 
. (iii) If [c, d] for 
is another interval such that 
, then 
.
Definition: Measurable Set A
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