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Probability, Random Variables, and Random Processes: Theory and Signal Processing Applications
book

Probability, Random Variables, and Random Processes: Theory and Signal Processing Applications

by John J. Shynk
November 2012
Intermediate to advanced
794 pages
22h 9m
English
Wiley-Interscience
Content preview from Probability, Random Variables, and Random Processes: Theory and Signal Processing Applications

2.15 NONMEASURABLE SUBSETS OF

As mentioned previously, the Borel σ-field is sufficient for the probability space for practical applications, and thus we use to describe events on . However, is not the only subset of ; there is in fact an infinity of subsets, of which not all are measurable and thus a probability measure cannot be assigned. Consider the interval [0, 1] for which the Borel σ-field is a subset generated by all open intervals on [0, 1]. The Lebesgue measure for any such interval (a, b) is L(a, b) = ba for b>a, which is bounded above by 1 in this case. The Cantor set is another subset of [0, 1] that is different from the Borel σ-field and is still measurable; recall that it has Lebesgue measure zero. Nonmeasurable subsets of are generally difficult to describe. We illustrate one example using a construction leading to the Vitali set, which has a complicated form and would ...

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Publisher Resources

ISBN: 9781118393956Purchase book