If we express the expected remaining lifetime of the exponentially distributed variable X = Exp(1), given that X>1 as
$$E[X−1|X>1]$$
Then given memorylessness we get
$E[Y-1] = 1/1 - 1 = 0$
If we express the expected remaining lifetime of the exponentially distributed variable X = Exp(1), given that X>1 as
$$E[X−1|X>1]$$
Then given memorylessness we get
$E[Y-1] = 1/1 - 1 = 0$
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No: memorylessness implies $E[X-c|X>c]=E[X]=\lambda$ (here $\lambda=1$) for any $c>0$. We can verify the exponential distribution is memoryless:$$f_X(x|X>c)=\frac{f_X(x)}{P(X>c)}=\frac{\lambda e^{-\lambda x}}{e^{-\lambda c}}=\lambda e^{\lambda(c-x)}$$for all $x\ge c$, i.e. $X-c|X>c\sim\operatorname{Exp}(\lambda)$.