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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

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