[Math] going wrong with this proof of expected value of a geometric random variable

probabilityprobability theory

I know that the expected value of a geometrically distributed random variable is $\frac1p$ but how do we get there. This is what I got so far: $$\sum_{x=1}^\infty xP(X=x)$$ where X is the number of failures until first success. Since it's geometric we have:$$\begin{align} \sum_{x=1}^\infty xp(1-p)^{x-1}\\ \frac{p}{1-p} \sum_{x=1}^\infty x(1-p)^x\\ …. \end{align}$$ How do we sum that?

Best Answer

Set $r=1-p$ and recall geometric series formula $$ \sum\limits_{x=1}^\infty r^x=\frac{r}{1-r} $$ Then $$ \sum\limits_{x=1}^\infty x r^x= r\sum\limits_{x=1}^\infty x r^{x-1}= r\sum\limits_{x=1}^\infty \frac{d}{dr} r^x= r \frac{d}{dr}\sum\limits_{x=1}^\infty r^x= r\frac{d}{dr}\frac{r}{1-r} $$ Is the rest clear?

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