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I know there were many questions here on this topic, but I didn't find an answer that cleared things up to me. The thing is, I have the following definition of limit superior and I didn't see it used very often:

A number $L\in\Bbb R$ is the limit superior of a sequence $(a_n)_n$ if and only if:

$1.$ $\forall \varepsilon>0, \ a_n

$2.$ $\forall \varepsilon>0, \ L-\varepsilon

I can see this is very similar to the definition of supremum that I have:

If $S$ is a non-empty bounded set $S \subseteq \Bbb R$ then $L=\sup S$ if and only if:

$1. \forall x\in S, x\leq L$

$2. \forall \varepsilon>0, \exists x\in S, \ L-\varepsilon

In the defintion of limit superior I don't understand why $a_n

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    See this answer http://math.stackexchange.com/a/1893725/720312017-02-06

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The difference is the following:

  • The supremum is the least upper bound of the set.

  • The limit superior is the limit of the supremums of the set.

Here's an example to illustrate the difference: Consider the sequence $a_n=\frac{1}{n}$ for $n\geq 1$.

  • The supremum of the set is $1$ because that's the largest value that $a_n$ attains and all other values are less than $1$. We can check this using the definition because for all $n\geq 1$, $\frac{1}{n}\leq 1$ and for all $\varepsilon>0$, there is an $a_n$, namely $a_1=1$ so that $1>1-\varepsilon$.

  • On the other hand, the limit superior is $0$. If you look at the sequence $\{a_n\}_{n\geq k}$, the supremum of this sequence is $\frac{1}{k}$. Taking the limit as $k$ approaches $\infty$ gives that the limit superior is $0$. We can check this using the definition, because for all $\varepsilon$, we can choose $k$ sufficiently large so that $\frac{1}{k}<\varepsilon$. Then by dropping the first $k$ elements of the sequence (almost all means all but finitely many), we get that the remaining $a_n$'s satisfy $a_n<0+\varepsilon$. On the other hand, since all $a_n$'s are greater than zero, $a_n>0-\varepsilon$.

On the other hand, the sequence $b_n=1-\frac{1}{n}$ for $n\geq 1$ has the same supremum and limit superior, namely $1$.

To summarize:

  • A supremum is the smallest possible upper bound for a set - an upper bound has all elements below it ($x\leq L$), and if you were to replace the upper bound with anything smaller ($L-\varepsilon$), that smaller value would not be an upper bound.

  • A limit superior is the limit of the supremums when you chop off finitely many initial terms (chopping off finitely many initial terms is the same as almost all). When chopping off initial terms, the supremum is a decreasing sequence. $L$ is the limit superior if your sequence of supremums decreases to $L$. The first condition with $L+\varepsilon$ describes this condition. The second condition with $L-\varepsilon$ describes the fact that you couldn't replace $L$ with something smaller.

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My professor back in the day defined $\limsup_{n\to \infty} a_n$ at first in vague terms (on purpose): It is the largest number that the sequence $a_n$ visits infinitely often. He then went on to define it precisely as the largest subsequential limit of the sequence $a_n.$ As we had already shown that the set of subsequential limits of a sequence is a closed set, this made perfect sense. I like this definition, and when I was teaching real analysis at the level of Rudin's PMA, I would always go this route.

Most often you'll see it defined as the limit of supremums:

$$\limsup_{n\to \infty} a_n = \lim_{n\to \infty} \sup \{a_n,a_{n+1}, \dots \}.$$

That's fairly simple, but is a little perplexing to students at first I think. And then there is the condition you mentioned. You could also take that as the definition. All three of these definitions are, of course, equivalent.

Why go to all this trouble? Because unlike $\lim a_n,$ which may or may not exist, $\limsup_{n\to \infty} a_n$ always exists. Thus every sequence, no matter how crazily behaved, obeys a certain law: It has a largest subsequential limit (and of course a smallest subsequential limit).

I haven't addressed your specific questions, but I thought the above might be of some benefit.

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    I will definitely remember your professor's definition, thanks, very helpful!2017-02-06