A First Look at Rigorous Probability Theory
Table of Contents
1. Semialgebra
A collection \(\mathcal{J}\) of subsets of \(\Omega\) is a semialgebra if:
- it contains \(\Omega\) and \(\phi\),
- is closed under finite intersection,
- complement of any element of \(\mathcal{J}\) is equal to finite disjoint union of elements of \(\mathcal{J}\)
2. Algebra
- it contains \(\Omega\) and \(\phi\),
- closed under complement
- is closed under finite unions and intersection,
So, a semialgebra closed under finite union and complement is a algebra.
3. Sigma Algebra
A collection (\(\Sigma\)) of subsets of X is a \(\sigma\) - algebra if:
- it contains X
- closed under complement
- closed under countable unions
- closed under countable intersections (follows from 2 and 3)
So, a algebra closed under countable unions is a sigma algebra.
The ordered pair \((X, \Sigma)\) is called a measurable space.
Measure is defined only for \(\sigma\) - algebra. (Wikipedia)
- An example of Sigma algebra: A First Look at Rigorous Probability Theory - Jeffrey S. Rosenthal - 2006.pdf: Page 24
- Example of non-measurable set: A First Look at Rigorous Probability Theory - Jeffrey S. Rosenthal - 2006.pdf: Page 21
4. Probability Triple
A probability triple or measure space is a triple \((\Omega, \mathcal{F}, P)\), where:
- \(\Omega\) sample space is non empty set
- \(\mathcal{F}\) is \(\sigma\) - algebra of \(\Omega\)
- \(P\) is probability measure: mapping from \(\mathcal{F}\) to \([0,1]\) with \(P(\phi) = 0\) and \(P(\Omega) = 1\)
5. Lebesgue Measure
complete extension: if \(A \in \mathcal{M}\) with \(P^*(A) = 0\) and if \(B \subseteq A\) , then \(B \in \mathcal{M}\)
6. Borel \(\sigma\) - algebra
The smallest \(\sigma\) algebra containing \(\mathcal{J}\), \(\mathcal{B} = \sigma(\mathcal{J})\) is called the Borel \(\sigma\) - algebra of \(\mathcal {J}\) if it