Question 3.14: Independent trials, each of which is a success with probabil......

Independent trials, each of which is a success with probability p, are performed until there are k consecutive successes. What is themean number of necessary trials?

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Let NkN_{k} denote the number of necessary trials to obtain k consecutive successes, and let MkM_{k} denote its mean. We will obtain a recursive equation for MkM_k by conditioning on Nk1,N_{k−1,} the number of trials needed for k −1 consecutive successes. This yields

Mk=E[Nk]=E[E[NkNk1]]M_k=E\left[N_k\right]=E\left[E\left[N_k \mid N_{k-1}\right]\right]
Now,
E[NkNk1]=Nk1+1+(1p)E[Nk]E\left[N_k \mid N_{k-1}\right]=N_{k-1}+1+(1-p) E\left[N_k\right]
where the preceding follows since if it takes Nk1N_{k-1} trials to obtain k1k-1consecutive successes, then either the next trial is a success and we have our k in a row or it is a failure and we must begin anew. Taking expectations of both sides of the preceding yields
Mk=Mk1+1+(1p)MkM_k=M_{k-1}+1+(1-p) M_k
or
Mk=1p+Mk1pM_k=\frac{1}{p}+\frac{M_{k-1}}{p}
Since N1N_1, the time of the first success, is geometric with parameter p, we see that
M1=1pM_1=\frac{1}{p}
and, recursively
M2=1p+1p2,M3=1p+1p2+1p3\begin{aligned}& M_2=\frac{1}{p}+\frac{1}{p^2}, \\& M_3=\frac{1}{p}+\frac{1}{p^2}+\frac{1}{p^3}\end{aligned}
and, in general,

Mk=1p+1p2++1pkM_k=\frac{1}{p}+\frac{1}{p^2}+\cdots+\frac{1}{p^k}

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