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 />
Example <strong>1.</strong>3 Obtain the limits of the following set sequences:<br />
(i) {A n }, where A n = (−n,n), ∀n ∈ IN.<br />
(ii) {B n }, where B n = (−1/n,1+1/n), ∀n ∈ IN.<br />
(i) By the previous proposition, since {A n } ↑, then<br />
∞⋃ ∞⋃<br />
lim A n = A n = (−n,n) = IR.<br />
n→∞<br />
n=1<br />
n=1<br />
(ii) Again, using the previous proposition, since {A n } ↓, then<br />
∞⋂ ∞⋂<br />
(<br />
lim B n = B n = − 1<br />
n→∞ n ,1+ 1 )<br />
= [0,1].<br />
n<br />
Problems<br />
n=1<br />
<strong>1.</strong> Prove Proposition <strong>1.</strong><strong>1.</strong><br />
n=1<br />
2. Define sets of real numbers as follows. Let A n = (−1/n,1] if<br />
n is odd, <strong>and</strong> A n = (−1,1/n] if n is even. Find limA n <strong>and</strong><br />
limA n .<br />
3. Prove Proposition <strong>1.</strong>2.<br />
4. Prove Proposition <strong>1.</strong>3.<br />
5. Let Ω = IR 2 <strong>and</strong> A n the interior of the circle with center at<br />
the point ((−1) n /n,0) <strong>and</strong> radius <strong>1.</strong> Find limA n <strong>and</strong> limA n .<br />
6. Prove that (limA n ) c = limA c n <strong>and</strong> (limA n ) c = limA c n.<br />
7. Using the De Morgan laws <strong>and</strong> Proposition <strong>1.</strong>3, prove that if<br />
{A n } ↑ A, then {A c n} ↓ A c while if {A n } ↓ A, then {A c n} ↑<br />
A c .<br />
ISABEL MOLINA 4