Probability of Limit of Sequence of Events/Decreasing
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Theorem
Let $\struct {\Omega, \Sigma, \Pr}$ be a probability space.
Let $\sequence {B_n}_{n \mathop \in \N}$ be a decreasing sequence of events.
Let $\ds B = \bigcap_{i \mathop \in \N} B_i$ be the limit of $\sequence {B_n}_{n \mathop \in \N}$.
Then:
- $\ds \map \Pr B = \lim_{n \mathop \to \infty} \map \Pr {B_n}$
Proof
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Set $A_i = \Omega \setminus B_i$ and then apply De Morgan's laws and the result for an increasing sequence of events.
$\blacksquare$
Sources
- 1986: Geoffrey Grimmett and Dominic Welsh: Probability: An Introduction ... (previous) ... (next): $\S 1.9$: Probability measures are continuous