Joint Distribution of discrete random variables homework problem

Hi, I have a homework question as follows:

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X and Y are discrete random variables with joint frequency function p_xy, conditional frequency function p_x|y and marginal frequency functions p_x, p_y. Let y_0 be a number for which p_y(y_0)>0.

Consider the following procedure. Start with i=1.

a.) Draw an X_i from p_x

b.) Draw an R_i (from {0,1}) with the probability of success, p=p_y|x(y_0|x_i)

c.) If R_i=1, set Z=X_i and stop.

If R_i=0, set i = i+1, and return to step a.)

1. Derive the marginal distribution of R_j

2. Let U = number of trials before you stop. Derive the marginal distribution of U.

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Now this question isn't from a textbook. It's just a question our professor created and assigned us. I'm having trouble interpreting it, let alone solving it.

For part 1.,

To find the marginal distribution of R_j, would you need to first define the joint distribution between R_j and X?

Wouldn't this then be p_RX = p_y|x(y_0|X_i)*p_x(X_i))=P(y_0,X_i)?

I am very confused by this.