Probability, Random Variables, and Random Processes: Theory and Signal Processing Applications
by John J. Shynk
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) = b−a 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 ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access