Given $Z_n\rightarrow 0$ in probability and $W$ a random variable, I need to prove $WZ_n\rightarrow 0$.
I was given a hint: show that for every $\delta,\epsilon<0$ we have $$\{|WZ_n|\geq\epsilon\}\subset\{|Z_n|\geq\delta\}\cup\{|W|\geq\frac\epsilon\delta\}$$
I'm not sure how to get to this conclusion, and I'm not even sure how it will help-
If we prove the hint, we get $$\lim_{n\rightarrow\infty} P(|WZ_n|\geq\epsilon)\leq\lim_{n\rightarrow\infty} P(|Z_n|\geq\delta)+ P(|W|\geq\frac\epsilon\delta)$$
I understand that $\lim\limits_{n\to\infty} P(|Z_n|\geq\delta)=0$, but why does $P(|W|\geq\frac\epsilon\delta)=0$?
I do know $ P(|W|\geq\frac\epsilon\delta)\leq\frac{E|W|\delta}\epsilon$, from Markov's inequality.
First off, the equality should be an inequality:
$$\lim_{n\rightarrow\infty} P(|WZ_n|\geq\epsilon)\leq \lim_{n\rightarrow\infty} P(|Z_n|\geq\delta)+ P(|W|\geq\frac\epsilon\delta)=0+P(|W|\geq\frac\epsilon\delta).$$
Notice that $\delta>0$ is arbitrary and the left hand side is independent of $\delta$. Thus, take a second limit of $\delta\rightarrow 0$.
To prove the hint, it's easier to prove the complement:
$$\{|W|\geq \epsilon/\delta\}^c\cap \{|Z_n|\geq \delta\}^c\subseteq \{|WZ_n|\geq \epsilon|\}^c,$$
which when simplified should be apparent.