Conditional information of two Bernoulli random variables given their sum

38 Views Asked by At

Let random variables X,Y independent Bernoulli random variables, $Z=X+Y$

I need to calculate the I (X:Y|X+Y)

So obviously, I get :

\begin{eqnarray*} I(X;Y|Z)&=&H(X|Z)-H(X|Y,Z) \end{eqnarray*}

also we know that $H(X|Y) = H(X)$ because they are independent. The thing is here i am stuck. can i get an explanation please? Thanks!