Inequality in proof of 2nd Borel-Cantelli Lemma
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At some point in the proof of the second Borel-Cantelli Lemma the the following inequality is mentioned:
$$...=expbigl ( sum_{m=n}^klog(1-P(A_m)bigr ) leq exp bigl (-sum_{m=n}^kP(A_m) bigr)$$
How do I this inequality? Some simple logarithmic calculation rules?
probability-theory logarithms borel-cantelli-lemmas
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up vote
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down vote
favorite
At some point in the proof of the second Borel-Cantelli Lemma the the following inequality is mentioned:
$$...=expbigl ( sum_{m=n}^klog(1-P(A_m)bigr ) leq exp bigl (-sum_{m=n}^kP(A_m) bigr)$$
How do I this inequality? Some simple logarithmic calculation rules?
probability-theory logarithms borel-cantelli-lemmas
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
At some point in the proof of the second Borel-Cantelli Lemma the the following inequality is mentioned:
$$...=expbigl ( sum_{m=n}^klog(1-P(A_m)bigr ) leq exp bigl (-sum_{m=n}^kP(A_m) bigr)$$
How do I this inequality? Some simple logarithmic calculation rules?
probability-theory logarithms borel-cantelli-lemmas
At some point in the proof of the second Borel-Cantelli Lemma the the following inequality is mentioned:
$$...=expbigl ( sum_{m=n}^klog(1-P(A_m)bigr ) leq exp bigl (-sum_{m=n}^kP(A_m) bigr)$$
How do I this inequality? Some simple logarithmic calculation rules?
probability-theory logarithms borel-cantelli-lemmas
probability-theory logarithms borel-cantelli-lemmas
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Tesla
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904426
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1 Answer
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Note that
$log (1-x) =- sum_{n=1}^{infty}frac{x^n}{n} leq -x$ for $0 leq x<1$
$$Rightarrow expbigl ( sum_{m=n}^klog(1-P(A_m)bigr ) leq expbigl ( sum_{m=n}^k -P(A_m)bigr ) = exp bigl (-sum_{m=n}^kP(A_m) bigr)$$
add a comment |
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
2
down vote
accepted
Note that
$log (1-x) =- sum_{n=1}^{infty}frac{x^n}{n} leq -x$ for $0 leq x<1$
$$Rightarrow expbigl ( sum_{m=n}^klog(1-P(A_m)bigr ) leq expbigl ( sum_{m=n}^k -P(A_m)bigr ) = exp bigl (-sum_{m=n}^kP(A_m) bigr)$$
add a comment |
up vote
2
down vote
accepted
Note that
$log (1-x) =- sum_{n=1}^{infty}frac{x^n}{n} leq -x$ for $0 leq x<1$
$$Rightarrow expbigl ( sum_{m=n}^klog(1-P(A_m)bigr ) leq expbigl ( sum_{m=n}^k -P(A_m)bigr ) = exp bigl (-sum_{m=n}^kP(A_m) bigr)$$
add a comment |
up vote
2
down vote
accepted
up vote
2
down vote
accepted
Note that
$log (1-x) =- sum_{n=1}^{infty}frac{x^n}{n} leq -x$ for $0 leq x<1$
$$Rightarrow expbigl ( sum_{m=n}^klog(1-P(A_m)bigr ) leq expbigl ( sum_{m=n}^k -P(A_m)bigr ) = exp bigl (-sum_{m=n}^kP(A_m) bigr)$$
Note that
$log (1-x) =- sum_{n=1}^{infty}frac{x^n}{n} leq -x$ for $0 leq x<1$
$$Rightarrow expbigl ( sum_{m=n}^klog(1-P(A_m)bigr ) leq expbigl ( sum_{m=n}^k -P(A_m)bigr ) = exp bigl (-sum_{m=n}^kP(A_m) bigr)$$
edited yesterday
answered yesterday
trancelocation
8,0561519
8,0561519
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