The following combinatorial equality is true? If yes, anyone can give me a hint how to prove it? sum_{n=x}^{M} ((n),(x))q^x(1-q)^{n-x}((M),(n))r^n(1-r)^{M-n}=((M),(x))q^xr^x(1-qr)^{M-x}

Baqling

Baqling

Answered question

2022-09-06

The following combinatorial equality is true? If yes, anyone can give me a hint how to prove it?
n = x M ( n x ) q x ( 1 q ) n x ( M n ) r n ( 1 r ) M n = ( M x ) q x r x ( 1 q r ) M x
where 0 < r , q < 1

Answer & Explanation

Kody Arellano

Kody Arellano

Beginner2022-09-07Added 10 answers

Step 1
We use the identity
( n x ) ( M n ) = ( M x ) ( M x n x )
(which is provable by converting the binomial coefficients to factorials) to obtain
n = x M ( n x ) q x ( 1 q ) n x ( M n ) r n ( 1 r ) M n = ( M x ) q x r x n = x M ( M x n x ) ( 1 q ) n x r n x ( 1 r ) M n = ( M x ) q x r x n = 0 M x ( M x n ) ( 1 q ) n r n ( 1 r ) ( M x ) n = ( M x ) q x r x ( ( 1 q ) r + ( 1 r ) ) M x = ( M x ) q x r x ( 1 q r ) M x
Step 2
In the second equality, we reindex the sum, replacing n with n + x. In the third equality, we use the binomial theorem.
soyafh

soyafh

Beginner2022-09-08Added 17 answers

Step 1
Consider M speeding drivers passing by a cop on the highway.
A speeding driver gets pulled over by the cop with probability r.
If a speeding driver gets pulled over, the probability he or she receives a ticket is q.
Assume the cop pulls people over and disperses tickets independently.
The probability that a given speeding driver gets a ticket equals qr. This is because
P ( Get Ticket ) = P ( Get Ticket | Pulled Over ) P ( Pulled Over ) = q r
Step 2
If X denotes the number of drivers who get ticketed, then X Binomial ( M , q r ) so
P ( X = x ) = ( M x ) ( q r ) x ( 1 q r ) M x
where x { 0 , 1 , . . . , M }. Now let N denote the number of drivers the cop pulls over. Then N Binomial ( M , r ) and X | N Binomial ( N , q ). From the total law of probability,
P ( X = x ) = n = x M P ( X = x | N = n ) P ( N = n ) = n = x M ( n x ) q x ( 1 q ) n x ( M n ) r n ( 1 r ) M n

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