Let $X_1, X_2, · · ·$ be sequence of independent nonnegative random variables having a common distribution function $F$ such that $P(X_1=0)<1, E[X_1]=a<\infty$ and $\mathrm{Var}[X_1]=\sigma^2<\infty$. Let's denote $$S_0 = 0, S_n = X_1 + \cdots + X_n$$ for $n = 1, 2, \ldots $ and $$N_t =\sup\left\{n:S_n ≤t\right\}$$ for any $t≥0$.
I want to show that $N_t\rightarrow\infty$ as $t\rightarrow\infty$.
By common sense, this is obvious but I do not know how to write it down in a mathematical way. Any help would be appreciated!
We want to prove that $P(lim_{t\rightarrow\infty}N_t=\infty)=1$. $lim_{t\rightarrow\infty}N_t<\infty$ can happen only when $X_i=\infty$ for some $i$. $$\{lim_{t\rightarrow\infty}N_t<\infty\}\subseteq\cup_{i=1}^\infty\{X_i=\infty\}$$ On the other hand we have $P(X_i=\infty)=0$, therefore: $$P(lim_{t\rightarrow\infty}N_t<\infty)\leq P(\cup_{i=1}^\infty\{X_i=\infty\})\leq \Sigma_{i=1}^\infty P(X_i=\infty)=0$$