Let \(d \in \mathbb{R} \) and let \(X\) be a random variable with support \((0,\infty\)) and \(Y\) be a random variable defined as follows \[ Y = \begin{cases} 0 & , X \le d \\ X & , X > d \end{cases} \] Find the cdf and pdf of Y.
I have the solution written as cdf: \[ F_Y(y) = \begin{cases} F_X(d) & , y=0 \\ F_X(d) &, 0<y<d \\ F_X(y) & , y\ge d \ \end{cases} \] pdf: \[ f_Y(y) = \begin{cases} F_X(d) & , y=0 \\ 0 &, 0<y<d \\ f_X(y) & , y\ge d \ \end{cases} \] I'm hoping for some clarification on how to find these! This is related to mixed random variables (with continuous and discrete parts) which I'm not too familiar with!
I'm guessing it has to do with manipulating the expression \(P(Y\le y)\) though I'm not to clear on it in this case
\[F_Y(y)=P(Y\le y)=P(Y\le y,X\le d)+P(Y\le y,X>d)\] \[P(Y\le y|X\le d)P(X\le d)+P(Y\le y|X>d)P(X>d)\]
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