$lim_{t\to\infty}\mathbb{P}(|g(X(t))|>\epsilon)=0$,
$f(X(t))=\mathbb{1}_{({X(t)}\neq{0})}$
I want to show $f(X(t))g(X(t))$ coverage in probability to 0. Just wondering if it is possible, thank you.
$lim_{t\to\infty}\mathbb{P}(|g(X(t))|>\epsilon)=0$,
$f(X(t))=\mathbb{1}_{({X(t)}\neq{0})}$
I want to show $f(X(t))g(X(t))$ coverage in probability to 0. Just wondering if it is possible, thank you.
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$P(|f(X(t))g(X(t))| >\epsilon) \leq P(g(X(t))| >\epsilon)\to 0$. (I have just used the fact that $f$ is bounded by $1$).