Understanding Sup of Sequence: S_n

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Discussion Overview

The discussion revolves around the concept of the supremum (sup) of a sequence, specifically examining the sequence defined by ##S_n = \sin\left(\frac{n \pi}{2}\right) \cdot \frac{n+2}{2n}##. Participants explore the meaning of the notation ##\underset{n}{Sup} \ S_n## and its implications in terms of upper bounds and maximum values.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • One participant expresses confusion about the meaning of ##\underset{n}{Sup} \ S_n## and provides specific values for the supremum at different indices.
  • Another participant challenges the initial understanding, emphasizing that the notation implies a variable and that the supremum is defined over a range of values rather than a single one.
  • There is a discussion about the difference between supremum and maximum, with examples illustrating sequences that may not have a maximum but do have a supremum.
  • One participant mentions the Least Upper Bound property and seeks clarification on the "limsup" notation, suggesting it relates to the limit of the supremum of the tail of a sequence.
  • Several participants provide examples and explanations to clarify the concept of supremum, including the idea of finding the least upper bound for a set of values.
  • There is a mention of the monotonicity of the sequence and its implications for determining the supremum.
  • Some participants reiterate the standard notation for supremum, emphasizing its interpretation as the supremum over all terms in the sequence.

Areas of Agreement / Disagreement

Participants exhibit a mix of understanding and confusion regarding the concept of supremum, with some agreeing on its definition while others contest specific interpretations and applications of the notation. The discussion remains unresolved regarding the precise implications of the notation in different contexts.

Contextual Notes

Participants express uncertainty about the correct interpretation of the supremum notation, particularly in relation to specific sequences and their properties. There are also references to external resources that may influence understanding.

Who May Find This Useful

This discussion may be useful for individuals seeking to understand the concept of supremum in mathematical sequences, particularly in the context of analysis and upper bounds.

Bachelier
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Is my understanding of the concept of ##\underset{n}{Sup} \ S_n## correct?

for instance, given the sequence:

##{S_n} = sin(\frac{n \pi}{2}). \frac{n+2}{2 n}##

Then

##\underset{1}{Sup} \ S_n \ = \ \frac{3}{2}##

##\underset{10}{Sup} \ S_n \ = 0##

##\underset{k≥n}{Sup} \ S_n \ = \ \frac{1}{2}##

I am trying to understand the part when we say ##\underset{n}{Sup} \ S_n##, what does it mean? Thanks
 
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I doesn't look like you really understand sup. The n below sup is meant as a variable, and sometimes we have restrictions such as
[tex]\sup_{n\geq 5} x_n[/tex]
which means we consider sup of the sequence [itex]x_5,x_6,x_7,\ldots[/itex]. Therefore your first two statements do not seem to make sense (at least with standard notation). One could argue that formally we should have
[tex]\sup_{n=1} S_n = S_1 = 3/2[/tex]
but I have never seen anyone use sup for a single value since it is always equal to just the value.

To understand sup you should first understand max of a sequence. Some sequences have a maximum value (i.e. you can find a fixed k such that [itex]x_k \geq x_n[/itex] for all n). When this is the case then
[tex]\sup_{n} x_n = \max_n x_n = x_k[/tex]
However max does not always make sense. For instance consider the sequence
[tex](0, 1/2, 2/3, 3/4, \ldots)[/tex]
This sequence does not have a maximum because every element gets bigger. However we can see that the entries get arbitrarily close to 1. This is precisely what sup is. sup of a sequence is simply the smallest number that is still greater than every single element. It is a way to define something like max, but for all sequences.

The sequence you have given actually has a maximum value so the sup is just that value. I'm not going to point out what the value is because you should be able to see it yourself and in case this is homework. I can at least tell you that it is not 1/2, you can find elements that are greater than 1/2.
 
No Sup for you! NEXT.
 
Bachelier said:
Is my understanding of the concept of ##\underset{n}{Sup} \ S_n## correct?

for instance, given the sequence:

##{S_n} = sin(\frac{n \pi}{2}). \frac{n+2}{2 n}##

Then

##\underset{1}{Sup} \ S_n \ = \ \frac{3}{2}##

##\underset{10}{Sup} \ S_n \ = 0##

##\underset{k≥n}{Sup} \ S_n \ = \ \frac{1}{2}##

I am trying to understand the part when we say ##\underset{n}{Sup} \ S_n##, what does it mean? Thanks

Sup is also called least-upper bound. The sup is the least of all upper bounds. A simple

example : take the interval (0,1) --take it, please!. No, sorry, now, what are the

possible upper bounds for the set of all x's in (0,1)? Well, 2 is an upper bound, so is 3,

and so is any number larger than 3. But which is the least among all upper bounds?

It is 1. It is a little involved, but not too hard to show this.

Now, you need to do the same for your collection of objects Sn . Notice, Sn is

the set {S1,S2,...} . Out of all the numerical values of Sn, can you think of the

least real number that is larger than all the Sn's? If you can figure out, a proof

should not be too far.
Sn
 
rasmhop said:
The sequence you have given actually has a maximum value so the sup is just that value. I'm not going to point out what the value is because you should be able to see it yourself and in case this is homework. I can at least tell you that it is not 1/2, you can find elements that are greater than 1/2.

Thank you ramhop. It is not homework. I took the example from a youtube video (see link below)

(Warning: Sie haben Deutsch zu sprechen) :)

https://www.youtube.com/watch?v=bbuYHvTVDio​
I understand the Least Upper Bound property, but what confuses me is the "limsup" notation. I kind of understand it as the limit of the sup of the tail of a certain series.
i.e. ##T_n = \left\{{S_k | k ≥ n}\right\}## for some sequence ##(S_n)##
Please feel free to expand on this!

The examples I posted were a meek attempt to try and understand some notations I found in the wikipedia article about the subject on

http://en.wikipedia.org/wiki/Limit_superior_and_limit_inferior

for instance see the image below:

Lim_sup_example_5.png

especially the inequality:## \underset{n}{Inf} \ S_n \ ≤ \underset{n→∞}{limInf} \ S_n ≤ \underset{n→∞}{limSup} \ S_n ≤ \underset{n}{Sup} \ S_n##

Now how do I look at: ##\underset{n}{Sup} \ S_n## ? should it be considered as the sup at a certain n or as the sup of all ##S_k## s.t. ##k ≥ n## or the sup of the whole sequence? I think the correct answer is the last one.
 
Last edited:
Bacle2 said:
No Sup for you! NEXT.

Good one. :-p I prefer Salads anyway.
 
Bacle2 said:
Sup is also called least-upper bound. The sup is the least of all upper bounds. A simple

example : take the interval (0,1) --take it, please!. No, sorry, now, what are the

possible upper bounds for the set of all x's in (0,1)? Well, 2 is an upper bound, so is 3,

and so is any number larger than 3. But which is the least among all upper bounds?

It is 1. It is a little involved, but not too hard to show this.

Now, you need to do the same for your collection of objects Sn . Notice, Sn is

the set {S1,S2,...} . Out of all the numerical values of Sn, can you think of the

least real number that is larger than all the Sn's? If you can figure out, a proof

should not be too far.
Sn

Although not the original intention of my question, I will go ahead and determine the Sup of this sequence. Since ##(S_n)## is monotonically "Fallend" non-increasing, ##S_1 = 1.5## is the sup.
 
Well, but , under the standard notation, # \underset{n}{Sup} \ S_n # is:

Sup{S1,S2,..., Sn,...}
 
Bacle2 said:
Well, but , under the standard notation, # \underset{n}{Sup} \ S_n # is:

Sup{S1,S2,..., Sn,...}

Thanks Bacle. I am now more familiar with this concept. I just wanted to make sure I am familiar with the notation I saw on Wikipedia and that I understood it correctly.
 

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