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Slides Chapter 1. Measure Theory and Probability

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<strong>1.</strong><strong>1.</strong> SET SEQUENCES<br />

(ii) limA n =<br />

∞⋂<br />

∞⋃<br />

k=1n=k<br />

A n<br />

Proposition <strong>1.</strong>2 (Relationbetweenlower <strong>and</strong>upperlimits)<br />

The lower <strong>and</strong> upper limits of a set sequence {A n } satisfy<br />

limA n ⊆ limA n<br />

Definition <strong>1.</strong>4 (Convergence)<br />

A set sequence {A n } converges if <strong>and</strong> only if<br />

Then, we call limit of {A n } to<br />

limA n = limA n .<br />

lim<br />

n→∞ A n = limA n = limA n .<br />

Definition <strong>1.</strong>5 (Inferior/Superior limit of a sequence of<br />

real numbers)<br />

Let {a n } n∈IN ∈ IR be a sequence. We define:<br />

(i) liminf a n = sup inf a n;<br />

n→∞ k n≥k<br />

(ii) limsup<br />

n→∞<br />

a n = inf sup a n .<br />

k n≥k<br />

Proposition <strong>1.</strong>3 (Convergence of monotoneset sequences)<br />

Any monotone (increasing of decreasing) set sequence converges,<br />

<strong>and</strong> it holds:<br />

(i) If {A n } ↑, then lim<br />

n→∞<br />

A n =<br />

(ii) If {A n } ↓, then lim<br />

n→∞<br />

A n =<br />

∞⋃<br />

A n .<br />

n=1<br />

∞⋂<br />

A n .<br />

n=1<br />

ISABEL MOLINA 3

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