$\sum a_nb_n$ converges for every $b_n$ which goes monotonically to 0. Let $b_n$ be such a sequence such that $\sum b_n$ diverges. If $ \sum a_n b_n$ is to converge, then "on average" the {$a_n$} < the {$b_n$}, even though for any particular n it could be that $a_n > b_n$. One way to write this is
$ \sum_{1}^n a_n$ < $\sum_{1}^n b_n$ for "most" n. More precisely as $n \rightarrow \infty$ we have $\sum a_n$ < $ \sum b_n$. That is, $\sum a_n$ is strictly less than $\sum b_n$ whenever b is divergent.
We can define a series {$b_n$} as being divergent in this way: that for any number R > 0 there exists a number $N_R$ such that $ \sum_{n =1}^{N_R} b_n> R$.
Let {$b_n$} be a divergent series and pick R. The $N_R$ that works for {$b_n$} will not work for {$a_n$}. The reason is that for every positive integer k, $\sum_{n=1}^\infty a_n$ < $ \frac{1}{k} \sum _{n=1}^\infty b_n$ ,(which is divergent) and there is always a k such that the chosen $N_R$ is too small, unless $\sum a_n$ converges to a number > R.
Since $ \frac{1}{k} \sum _{n+1}^\infty b_n$ does diverge, there is a new $N_{R,k}$ which works for this series, and if we take k large enough we have $N_{R,k}$ > $N_R$ where the inequality is strict.
However, no matter what k we pick $N_{R,k}$ if $\sum a_n$ does not converge to a number > R it is not large enough that $\sum_{n = 1}^{N_{R,k}} a_n> R$, because there is always a larger k, thus a smaller divergent series, and thus a bigger $N_{R,k}$ for that series.
If for any R there can be no ${N_R}$ for $\sum a_n$ then that sum cannot be divergent. If it is not divergent, it must converge.
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). – user642796 Sep 06 '13 at 04:26