Original Post:
Suppose we have two random variables $X$ and $Y$ with cumulative distribution functions $F(x)$ and $G(y)$. We know that $Y = aX + b$.
I want to compute $Z(x) = F(x) - G(y)$.
What I have so far is the following: $$F(x) = \int_{-\infty}^{x}f(x)dx $$
$$G(y) = \int_{-\infty}^{y}g(y)dy = \int_{-\infty}^{y}\frac{1}{|a|}f\left(\frac{y-b}{a}\right)dy $$
$$Z(x) = \int_{-\infty}^{x}f(x)dx - \int_{-\infty}^{y}\frac{1}{|a|}f(x)dy $$
How should I go on doing the subtraction of the integrals? Is this even possible as the integrales belong to different variables (dx and dy)?
Solution thanks to jbowman:
Suppose $a>0$ and $y=ax+b$
$$G(y) = P(aX+b <= y)$$ $$G(y) = P(aX+b<=ax+b) = P(X<=x) = F(x)$$ And thus: $$Z(x,y) = F(x) - G(y) = 0$$
Corrected Post
Suppose we have two random variables $X$ and $Y$ with cumulative distribution functions $F(k)$ and $G(k)$. We know that $Y = aX + b$.
I want to compute $Z(k) = F(k) - G(k)$.
Proposed solution:
Assuming $a>0$:
$$F(k) = \int_{-\infty}^{k}f(x)dx $$
$$G(k) = \int_{-\infty}^{k}g(y)dy = \int_{-\infty}^{\frac{k-b}{a}}f(x)dx $$
$$Z(k) = \int_{-\infty}^{k}f(x)dx - \int_{-\infty}^{\frac{k-b}{a}}f(x)dx $$
And thus
$$Z(k) = \int_{\frac{k-b}{a}}^{k}f(x)dx $$
