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><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