Friday, 12 April 2019

probability - Expectation of geometric random variable

Let $X$ be geometric random variable with parameter $p$.



How to prove that:





(1) $E[X-1|X>1] = E[X]$



(2) $E[X^2|X>1] = E[(X+1)^2]$




Author explains the fact below and states it is used to prove (1)
$$P(X-1=k|X>k) = P(X=k).$$




I understood how the fact is true but could not understand how it is used to derive (1)



(2) was stated without explanation. Could someone help in deriving (1) and (2)?

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