I would like to demonstrate the formula which states that if
$X$ is a random variable such that
$\forall \lambda >0, E[e^{-\lambda^2.\frac{X}{2}}] = e^{-\lambda.b}$
Where $b$ is a positive constant.
Then by derivation regardng $\lambda^2$ and taking $\lambda = 0$.
Once can calculate $E[X]$
In order to demonstrate this statement, I thought of using whole series to demonstrate such a purpose. However this lead me nowhere...
Can you please advise?!!
Thank you
The hypothesis can be written as $Ee^{-tX}=e^{-\sqrt {2t} b}$ for all $t>0$. Differentiating w.r.t. $t$ (from the right) and setting $t=0$ we get $EX=\infty$.