Let $X \sim N(\mu, \sigma^{2})$ and $Y = \alpha X + \beta$ for $\alpha > 0$. I'm looking at a demonstration that $Y = \alpha X + \beta \sim N(\alpha\mu + \beta, (\alpha\sigma)^{2})$, and find myself not following all the mechanical steps. I have a very weak calculus background, so I think this might clarify things for me.
\begin{align*} F_{Y}(c) &= P(Y \leq c) \\ &= P(\alpha{X} + \beta \leq c) \\ &= P \left( X \leq \frac{c - \beta}{\alpha} \right) \\ &= F_{X} \left( \frac{c - \beta}{\alpha} \right) \\ &= \int_{-\infty}^{\frac{c - \beta}{\alpha}} \frac{1}{\sqrt{2\pi}\sigma} \exp \left\{ \frac{-(x-\mu)^{2}}{2\sigma^{2}} \right\}dx \end{align*}
Using the change of variables $y = \alpha{x} + \beta$, we reduce this expression to $$\int_{-\infty}^{c} \frac{1}{\sqrt{2\pi} \alpha\sigma}\exp \left\{ \frac{-(y-(\alpha\mu + \beta))^{2}}{2\alpha^{2}\sigma^{2}} \right\}dy$$
and conclude the desired result.
Questions:
1) How does the limit of integration change from $\frac{c-\beta}{\alpha}$ to $c$?
2) When approaching similar problems, is there a good way of thinking about how the equation needs to be transformed in order to come up with a change of variables that accomplishes the desired purpose?