proof of the sum and product of discrete random variables

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According to these two links,( Link1 and Link2)
The distribution of multiplying two discrete random variables is given by : \begin{equation*} \begin{aligned} Pr(T=t)&=\sum\limits_{x} Pr (X=x,Y=t/x)\\ &=\sum\limits_{x} Pr(Y=t/x|X=x) Pr(X=x) \\ &=\sum\limits_{x} Pr(X=x) Pr(Y=t/x) \text{ ( if X independent Y )} \end{aligned} \end{equation*} or as :
\begin{equation*} \begin{aligned} Pr(T=t)&=\sum\limits_{x,y s.t. xy=t} Pr (X=x,Y=y)\\ &=\sum\limits_{x,y s.t. xy=t} Pr (X=x) Pr(Y=y) \text{ ( if X independent Y)} \end{aligned} \end{equation*}

Similarly for the sum of two discrete random variables ( Link3) is given by : \begin{equation*} % \scriptsize \begin{aligned} Pr(Z=z)&=\sum\limits_{x} Pr (X=x,Y=z-x)\\ &=\sum\limits_{x} Pr(Y=z-x|X=x) Pr (X=x) \\ &=\sum\limits_{x} Pr (X=x) Pr(Y=z-x) \text{ ( if X independent Y )} \end{aligned} \end{equation*}

How can I proof that this is correct ?