Slides Chapter 1. Measure Theory and Probability
Slides Chapter 1. Measure Theory and Probability
Slides Chapter 1. Measure Theory and Probability
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<strong>1.</strong>2. STRUCTURES OF SUBSETS<br />
8. Let{x n }beasequenceofrealnumbers<strong>and</strong>letA n = (−∞,x n ).<br />
What is the connection between liminf x n <strong>and</strong> limA n ? Similarly<br />
between limsupx n <strong>and</strong> limA n .<br />
n→∞<br />
n→∞<br />
<strong>1.</strong>2 Structures of subsets<br />
AprobabilityfunctionwillbeafunctiondefinedovereventsorsubsetsofasamplespaceΩ.<br />
Itisconvenienttoprovidea“good”structure<br />
to these subsets, which in turn will provide “good” properties<br />
to the probability function. In this section we study collections of<br />
subsets of a set Ω with a good structure.<br />
Definition <strong>1.</strong>6 (Algebra)<br />
An algebra (also called field) A over a set Ω is a collection of<br />
subsets of Ω that has the following properties:<br />
(i) Ω ∈ A;<br />
(ii) If A ∈ A, then A c ∈ A;<br />
(iii) If A 1 ,A 2 ,...,A n ∈ A, then<br />
n⋃<br />
A i ∈ A.<br />
An algebra over Ω contains both Ω <strong>and</strong> ∅. It also contains all<br />
finite unions <strong>and</strong> intersections of sets from A. We say that A is<br />
closed under complementation, finite union <strong>and</strong> finite intersection.<br />
Extending property (iii) to an infinite sequence of elements of A<br />
we obtain a σ-algebra.<br />
Definition <strong>1.</strong>7 (σ-algebra)<br />
A σ-algebra (or σ-field) A over a set Ω is a collection of subsets of<br />
Ω that has the following properties:<br />
i=1<br />
ISABEL MOLINA 5