What is the relationship between limsup and liminf in real analysis?

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in summary, this book is about defining a family of subsets of a real number space, and then saying if the set is countable( finite or countably infinte) that it is a sequence of sets. if this is not the case about ordering or sequences then i don't understand how we can discuss limsup and liminf of a sequence of sets. the "subset ordering" is a partial ordering, any two given sets may not be comparable (for instance of they are nonempty disjoint).
  • #1
ice109
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i'm reading this book called "measure and integral: an introduction to real analysis" by antoni zygmund and richard l wheeden and I'm stuck on page two :cry:.

really the question is what are limsup and liminf but i would appreciate if some other questions were answered and maybe i'll be able to figure it out on my own.

in this book they define F a family of subsets of [itex]R^n[/itex] then say if F is countable( finite or countably infinte) then it is a sequence of sets. now does this imply an ordering of F where it is either decreasing or increasing? where the book defines increasing as [itex] x_k \subset x_{k+1}[/itex] and decreasing as [itex]x_{k+1} \subset x_k[/itex] where obviously [itex]x_k[/itex] is set k in the sequence.

if this is not the case about ordering or sequences then i don't understand how we can discuss limsup and liminf of a sequence of sets.
 
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  • #2
The "subset ordering" is a partial ordering, any two given sets may not be comparable (for instance of they are nonempty disjoint). As for "what is lim sup E_n", etc. I presume the definition is in your book. lim sup and lim inf allow for a notion of a limit that is more general than the intersection of a nested decreasing sequence of sets or the union of a nested increasing sequence of sets, both of which are intuitive ideas. No epsilon-delta is involved.
 
  • #3
It might be easier to think of numbers rather than sets first. If you have a countable collection of numbers, then you can think of it as a sequence with some given order (of course, it does not have to be increasing or decreasing[/b]. Obviously, different orders will give you different sequences but the limit (or subsequential limits if it has more than one) do not depend on the ordering! If you are studying measure, then you should already know that the "limsup" of a sequence of numbers is the least upper bound on the set of all subsequential limits and the "liminf" is the greatest lower bound. Those, again, do not depend on the particular order given to the sequence! If the sequence of numbers is not bounded, the limsup and liminf may not be real numbers in which case it is standard to say they are "[itex]+\infty[/itex]" or "[itex]-\infty[/itex]".

Now, for sets, we use "subset" as an ordering. Again, a countable collection of sets can be thought of as a sequence: "countable" means there is a one-to-one function from the natural numbers onto the collection- that's an automatic ordering. Of course the same collection of sets might have many different such functions and so many different ordering. Again, they do not have to be either increasing or decreasing. Given an increasing or decreasing sequence of sets, its limit is (for increasing) the smallest set containing all sets in the sequence or (for decreasing) the largest set contained in all sets in the sequence. If a sequence of sets is neither increasing nor decreasing, it may have many such sequences with many different limits. The "limsup" and "liminf" are again the "least upper bound" (the smallest set containing all the subsequential limits) and the "greatest lower bound" (the largest set contained in all the subsequential limits). The difficulty is that since the order defined by "subset" is not a linear order (there exist set A and B such that neither is a subset of the other), there may not exist such limsup and liminf.
 
  • #4
rudinreader said:
The "subset ordering" is a partial ordering, any two given sets may not be comparable (for instance of they are nonempty disjoint). As for "what is lim sup E_n", etc. I presume the definition is in your book. lim sup and lim inf allow for a notion of a limit that is more general than the intersection of a nested decreasing sequence of sets or the union of a nested increasing sequence of sets, both of which are intuitive ideas. No epsilon-delta is involved.

please more on this. if partially ordered they can or they cannot be "nonempty disjoint"

halls:

here is how they are defined in my book

[tex]

limsup ~ E_k = \bigcap^{\infty}_{j=1}\left(\bigcup^{\infty}_{k=j} E_k\right)[/tex]

[tex]
liminf ~ E_k = \bigcup^{\infty}_{j=1}\left(\bigcap^{\infty}_{k=j} E_k\right)[/tex]
 
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  • #5
The set {[tex]\emptyset[/tex],{5},{6}} is only partially ordered. You have [tex]\emptyset \subset \{ 5 \} \, \emptyset \subset \{ 6 \}[/tex], but you don't have [tex] \{ 5 \} \subset \{ 6 \}[/tex] or [tex] \{ 6 \} \subset \{ 5 \}[/tex]. ({5},{6} are nonempty and disjoint.)

Given the definitions in your book, you are probably asked to prove in a problem that lim inf {E_n} = {x: x belongs to all but finitely many E_n}, and lim sup E_n = {x: x belongs to infinitely many E_n}.. and as an exercise you can observe the other important relation that lim inf E_n [tex]\subseteq[/tex] lim sup E_n, but the opposite inequality might not hold.

Halls was pretty thorough in the relation between the real case.. One of the points is that you will get used to these types of definitions as long as you keep on studying math. Hopefully that will help get you past page 2.
 
  • #6
look i can easily think of a set whose limsup and liminf change depending on the assignment of the index so i think I'm misunderstanding something about that. call E_1={1,2,3} E_2={1,2} E_3={1}. limsup equals 1 and liminf equals 1. now reverse the order with E_1={1}
E_2={1,2} and E_3={1,2,3} and now limsup equals {1,2,3} and liminf equals {1,2,3}. so i don't understand how these limits can be independent of ordering.
 
  • #7
What you said is like saying x_1 = 1, x_2 = 2, x_3 = 3, therefore lim x_n = 3. But the limit (and also lim inf, lim sup) definition applies to an infinite sequence, not 3 terms. Same for the system of sets. I think if you define E_n for n > 3, then you will not find any such contradiction.
 
  • #8
any set has subsequences. i am going out on a limb and guess that the limsup is the largest limit of a subsequence consisting of distinct points of the set.

equivalently it should be the largest number such that any smaller number is exceeded by an infinite number of elements of the set. ? does that seem right?

intuitively it is the largest "cluster point" of the set, i.e. the largest limit point, i.e. the supremum of all the limit points.
 
  • #9
rudinreader said:
What you said is like saying x_1 = 1, x_2 = 2, x_3 = 3, therefore lim x_n = 3. But the limit (and also lim inf, lim sup) definition applies to an infinite sequence, not 3 terms. Same for the system of sets. I think if you define E_n for n > 3, then you will not find any such contradiction.

i don't see the difference between the finite and infinite case? define the sequence for infinite terms and you will still get different limits if you arrange it increasing or decreasing as previously defined.
 
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  • #10
It is easier to look at
lim inf {E_n} = {x:x belongs to all but finitely many E_n}, and
lim sup {E_n} = {x:x belongs to infinitely many E_n}.

From this identity, it's not that hard to see no matter how you rearrange the E_n's you will get the same answer. Again, lim sup, lim inf doesn't make sense for a finite list of sets.

You can actually define lim inf, lim sup this way. But the set identity makes it easier to prove (using De Morgan) that
[tex](lim \ inf \{ E_n \} )^c \ = \ lim \ sup \{ E_n^c\} [/tex], etc. This formula kind of looks similar to
- lim inf a_n = lim sup -a_n.

mathwonk said:
i am going out on a limb and guess that the limsup is the largest limit of a subsequence consisting of distinct points of the set.

One thing that sticks out to me is that x is in lim sup {E_n} if and only if there is some subsequence E_nk that contains x for all k. x is in lim inf {E_n} if and only if every subsequence E_nk contians x for all k >= N, for some N.
 
  • #11
rudinreader said:
One thing that sticks out to me is that x is in lim sup {E_n} if and only if there is some subsequence E_nk that contains x for all k. x is in lim inf {E_n} if and only if every subsequence E_nk contians x for all k >= N, for some N.

Hi, I was just reading through your posts and I thought I understood it, but the last sentence confused me. x is in liminf {E_n} iff every subsequence contains x for all k>=N --- doesn't that mean that you need one ordering for the sequence of sets? Otherwise what does k>=N mean?
 
  • #12
Actually I think I get it. Had a look at wikipedia's definition of liminf and limsup for sets http://en.wikipedia.org/wiki/Limit_superior_and_limit_inferior
In the example there's a sequence of sets {0},{1},{0},{1},{0},{1}...
It doesn't matter which way these are ordered because there's always going to be an infinite number of sets {0} and infinite number of sets {1} remaining in the sequence.

So limsup will always be {0,1} and liminf will always be empty set no matter how they are ordered.
 
  • #13
I agree with mathwonk's post: the lim sup of a sequence is the largest limit of all the subsequences that have a limit. Similarly, the lim inf of a sequence is the smallest limit of all the subsequences that have a limit.

Example: Let [tex]a_n = \cos \pi n[/tex]. This is just the sequence 1, -1, 1, -1, ... The lim sup is 1, the lim inf is -1.
 
  • #14
For fun:
Show that
[tex]\mathop {\lim }\limits_{n \to \infty } \bigcup\limits_{i = 0}^n {\left\{ {\frac{i}
{n}} \right\}} \ne \mathop {\lim }\limits_{n \to \infty } \bigcup\limits_{i = 0}^{n!} {\left\{ {\frac{i}{{n!}}} \right\}} = \mathbb{Q} \cap \left[ {0,1} \right][/tex]
 
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FAQ: What is the relationship between limsup and liminf in real analysis?

What is the definition of Limsup and Liminf?

Limsup (limit superior) and Liminf (limit inferior) are concepts used in analysis to describe the behavior of a sequence or a function as the input variable approaches a certain value. These values represent the highest and lowest possible limits that the sequence or function can reach as the input variable gets closer and closer to the given value.

How are Limsup and Liminf calculated?

Limsup and Liminf are calculated by taking the supremum (least upper bound) and infimum (greatest lower bound) of the set of all possible values of the sequence or function as the input variable approaches the given value. In other words, Limsup is the largest value that the sequence or function can reach, and Liminf is the smallest value that it can reach.

What is the difference between Limsup and Liminf?

The main difference between Limsup and Liminf is that Limsup gives the highest possible limit of a sequence or function, while Liminf gives the lowest possible limit. In other words, Limsup represents the upper bound of the sequence or function, while Liminf represents the lower bound.

What is the significance of Limsup and Liminf in analysis?

Limsup and Liminf are important concepts in analysis because they help us understand the behavior of a sequence or function as the input variable changes. They can also help us determine if a sequence or function has a limit, and if so, what that limit is.

Can Limsup and Liminf have different values for the same sequence or function?

Yes, Limsup and Liminf can have different values for the same sequence or function. This can happen when the sequence or function is not monotonically increasing or decreasing, meaning it does not consistently approach a single limit. In this case, the Limsup and Liminf will represent the highest and lowest possible limits, respectively, but will not necessarily be equal to each other.

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