# Example that $\lim \sup (x_n\cdot y_n)<\lim \sup (x_n)\cdot \lim \sup (y_n)$

This is a short question, I already managed to prove using definitions that $$\lim \sup (x_n\cdot y_n)\le \lim \sup (x_n)\cdot \lim \sup (y_n)$$

But I'm having trouble coming up with an example such that $$\lim \sup (x_n\cdot y_n)<\lim \sup (x_n)\cdot \lim \sup (y_n)$$

I tried to consider alternative sequences but i'm not sure if i'm doing it right. I'm considering the following right now. $$x_n=(1,0,1,0,...)$$ $$y_n=(0,1,0,1,...)$$ $$x_n\cdot y_n=(0,0,0,0,...)$$ $\lim \sup x_n \cdot y_n=0$ as there sequence is convergent. But $\lim \sup x_n = 1$ and $\lim \sup y_n =1$ So it appears the inequality holds. I just need a confirmation that what i'm doing is right. Sorry if this is a redundant question, I'm just learning this concept so it's a little fuzzy for me.

Note that $(x_n)$ and $(y_n)$ are non-negative.

• Exactly what are you unsure about? – A.S. Mar 17 '16 at 14:35
• I don't see anything wrong with it. In fact, I think you understand the concept fairly well for someone who just started learning it. – vrugtehagel Mar 17 '16 at 14:36
• This is absolutely fine. – Alex M. Mar 17 '16 at 14:37
• $\limsup$ is the best "bound" at infinity. Just $\sup$ is not satisfactory - $x_0$ might be huge compared to the rest hence "unrepresentative". $\limsup$ gives you a "long-term/stable" best upper boundary - even though the sequence might always stay above it. It's a way to "squeeze" a sequence in some meaningful way. – A.S. Mar 17 '16 at 14:42
• @Mambo: Your example fails: both sequences are convergent, therefore in your case $\limsup x_n y_n = \limsup x_n \limsup y_n$. – Alex M. Mar 17 '16 at 15:27

• I think, the confusion arises from 2 factors: 1. Vector like notation $x_n=(1,0,1,0,...)$ 2. $\lim \sup (x_n)$ (also noted as $\overline{\lim} x_n$ in some countries) may be easily confused with $\lim ( \sup (x_n))$ (which is a limit of a constant assuming $\sup$ exists), e.g. @Mambo comment. So, let's not be too harsh ;) – rtybase Mar 17 '16 at 16:45