Given:
Let $X$ be exponential with parameter $\lambda$, that is
$$ f_X(x) = \begin{cases} \lambda e^{-\lambda x} & \text{if }x> 0, \\ 0 &\text{for }x\leq 0. \end{cases} $$
where $\lambda>0$ is called the rate of the distribution.
Question:
Show that this is a valid probability density function (pdf).
Attempt:
Need to show that $$ f(x) = \int^{\infty}_{-\infty} \lambda e^{-\lambda x}\, dx=1\\\\ $$ Thus, \begin{eqnarray*} f(x)&=&\int^0_{-\infty} \lambda e^{-\lambda x} \, dx+\int^\infty_0 \lambda e^{-\lambda x} \, dx\\[8pt] &=&0+\int^\infty_0 \lambda e^{-\lambda x} \, dx \\[8pt] &=&\lambda\int^\infty_0 e^{-\lambda x} \, dx \\[8pt] &=&1 \end{eqnarray*}
The problem is that my professor just told me that I skip a step right before I derive $1$. Any insight?
EDIT:
Given the great feedback, here is the answer:
\begin{eqnarray*} f(x)&=&\int^{\infty}_{-\infty} \lambda e^{-\lambda x} dx=1\\\\ f(x)&=&\int^{\infty}_{-\infty} f_X(x)dx\\ &=&\int^{0}_{-\infty} 0\,\,\, dx+\int^{\infty}_{0} \lambda e^{-\lambda x} dx\\ &=&0+\int^{\infty}_{0} \lambda e^{-\lambda x} dx\\ &=&\int^{\infty}_{0} \lambda e^{-\lambda x} dx\\ &=&\int^{\infty}_{0} e^{-\lambda x} \Big(\lambda \,\,\,dx\Big)\\ &=&\int^\infty_0e^{-u} du\\ &=&-e^{-u}\Big|^{\infty}_0\\ &=&1-\lim _{x \to \infty} e^{-u}\\ &=&1\\ \end{eqnarray*}
There is an error in this line: $$ f(x)=\int^0_{-\infty} \lambda e^{-\lambda x} \, dx+\int^\infty_0 \lambda e^{-\lambda x} \, dx. $$ It should say $$ f(x)=\int^0_{-\infty} 0 \, dx+\int^\infty_0 \lambda e^{-\lambda x} \, dx. $$
Later, where you have $$ \int_0^\infty \lambda e^{-\lambda x}\,dx, $$ I would write $$ \int_0^\infty e^{-\lambda x} \Big(\lambda \,dx\Big) = \int_0^\infty e^{-u}\,du = \cdots[\text{fill in the blanks here}]\cdots =1. $$