# lect2 - 2. Independence and Bernoulli Trials Independence:...

This preview shows pages 1–8. Sign up to view the full content.

1 2. Independence and Bernoulli Trials Independence : Events A and B are independent if • It is easy to show that A , B independent implies are all independent pairs. For example, and so that or i.e., and B are independent events. ). ( ) ( ) ( B P A P AB P = (2-1) ; , B A B A B A , ; , B A AB B A A B = = ) ( , φ = B A AB ), ( ) ( ) ( )) ( 1 ( ) ( ) ( ) ( ) ( B P A P B P A P B P A P B P B A P = = = ) ( ) ( ) ( ) ( ) ( ) ( ) ( B A P B P A P B A P AB P B A AB P B P + = + = = A PILLAI

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
2 • If P ( A ) = 0, then since the event always, we have and (2-1) is always satisfied. Thus the event of zero probability is independent of every other event! • Independent events obviously cannot be mutually exclusive, since and A , B independent implies Thus if A and B are independent, the event AB cannot be the null set. • More generally, a family of events are said to be independent, if for every finite sub collection we have A AB , 0 ) ( 0 ) ( ) ( = = AB P A P AB P 0 ) ( , 0 ) ( > > B P A P . 0 ) ( > AB P , , , , 2 1 n i i i A A A " = = = n k i n k i k k A P A P 1 1 ). ( {} i A (2-2) PILLAI
3 • Let a union of n independent events. Then by De-Morgan’s law and using their independence Thus for any A as in (2-3) a useful result. , 3 2 1 n A A A A A = " (2-3) n A A A A " 2 1 = (2-4) . )) ( 1 ( ) ( ) ( ) ( 1 1 2 1 = = = = = n i i n i i n A P A P A A A P A P " (2-5) , )) ( 1 ( 1 ) ( 1 ) ( 1 = = = n i i A P A P A P (2-6) PILLAI

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
4 , ) ( p A P i = . 3 1 = i Example 2.1: Three switches connected in parallel operate independently. Each switch remains closed with probability p . (a) Find the probability of receiving an input signal at the output. (b) Find the probability that switch S 1 is open given that an input signal is received at the output. Solution: a. Let A i = “Switch S i is closed”. Then Since switches operate independently, we have Fig.2.1 Input Output ). ( ) ( ) ( ) ( ); ( ) ( ) ( 3 2 1 3 2 1 A P A P A P A A A P A P A P A A P j i j i = = PILLAI
5 Let R = “input signal is received at the output”. For the event R to occur either switch 1 or switch 2 or switch 3 must remain closed, i.e., (2-7) . 3 2 1 A A A R = . 3 3 ) 1 ( 1 ) ( ) ( 3 2 3 3 2 1 p p p p A A A P R P + = = = ). ( ) | ( ) ( ) | ( ) ( 1 1 1 1 A P A R P A P A R P R P + = , 1 ) | ( 1 = A R P 2 3 2 1 2 ) ( ) | ( p p A A P A R P = = Using (2-3) - (2-6), We can also derive (2-8) in a different manner. Since any event and its compliment form a trivial partition, we can always write But and (2-8) (2-9) and using these in (2-9) we obtain , 3 3 ) 1 )( 2 ( ) ( 3 2 2 p p p p p p p R P + = + = (2-10) which agrees with (2-8). PILLAI

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
6 Note that the events A 1 , A 2 , A 3 do not form a partition, since they are not mutually exclusive. Obviously any two or all three switches can be closed (or open) simultaneously. Moreover, b. We need From Bayes’ theorem Because of the symmetry of the switches, we also have . 1 ) ( ) ( ) ( 3 2 1 + + A P A P A P ). | ( 1 R A P . 3 3 2 2 3 3 ) 1 )( 2 ( ) ( ) ( ) | ( ) | ( 3 2 2 3 2 2 1 1 1 p p p p p p p p p p p R P A P A R P R A P + + = + = = (2-11) ). | ( ) | ( ) | ( 3 2 1 R A P R A P R A P = = PILLAI
7 Repeated Trials Consider two independent experiments with associated probability models ( 1 , F 1 , P 1 )a n d ( 2 , F 2 , P 2 ). Let ξ∈Ω 1 , η∈Ω 2 represent elementary events. A joint performance of the two experiments produces an elementary events ω = ( ξ , η ). How to characterize an

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
This is the end of the preview. Sign up to access the rest of the document.

## This note was uploaded on 10/01/2009 for the course ECE 2521 taught by Professor Jacobs during the Fall '09 term at Pittsburgh.

### Page1 / 32

lect2 - 2. Independence and Bernoulli Trials Independence:...

This preview shows document pages 1 - 8. Sign up to view the full document.

View Full Document
Ask a homework question - tutors are online