Prove that sup(ST) = sup(S)sup(T)

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Homework Help Overview

The problem involves proving that for non-empty, bounded subsets S and T of (0, +∞), the supremum of the product set ST equals the product of the suprema of S and T, specifically that sup(ST) = sup(S) sup(T). Participants are exploring the implications of the supremum and the relationships between the elements of S and T.

Discussion Character

  • Exploratory, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants discuss the upper bound of ST in relation to the product of the suprema of S and T. There is an exploration of the hint provided, with some questioning its usefulness. Attempts to show that certain expressions can be made arbitrarily close to the product of the suprema are discussed, along with the conditions under which this can be achieved.

Discussion Status

The discussion is ongoing, with participants providing insights and guidance on how to approach the proof. There is a focus on making certain expressions small and understanding the implications of the supremum definitions. Multiple interpretations of the hint and its application are being explored, indicating a productive exchange of ideas.

Contextual Notes

Participants are navigating the complexities of the definitions of supremum and upper bounds, with some expressing uncertainty about the application of the hint and the conditions necessary for their arguments. There is an emphasis on ensuring that the expressions derived remain valid under the constraints of the problem.

Mr Davis 97
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Homework Statement


Prove the following: Suppose S and T are non-empty, bounded subsets of (0,+∞) and let ST be the set, ST = {st: s∈S and t∈T}. Then sup(ST) = sup(S) sup(T)
.
Hint: Notice that if 0 < y < sup(S)sup(T), then there exists r ∈ (0,1) such that y = (rsup(S))(rsup(T)). After finding such r, consider the inequalities rsup(S) < sup(S) and rsup(T)< sup(T).

Homework Equations

The Attempt at a Solution


First, we know that ##\sup (S) \sup (T)## is an upper bound of ##ST##, because we have individually ##\forall s \in S ~ s \le \sup S## and ##\forall t \in T ~ t \le \sup T##, which taken together impleies that ##\forall st \in ST ~ st \le \sup (S) \sup (T)##.

Second, we need to show that if ##b < \sup (S) \sup (T)##, then ##b## is not an upper bound. Here is where I'm stuck. Is there is where I use the hint? I don't really see how the hint can be used...

I think I might have the second part. By definition of the supremum, we know that ##\forall \epsilon \exists s \in S ## where ##\sup (S) - \epsilon < s##. Also, we have ##\forall \epsilon \exists t \in T ## where ##\sup (T) - \epsilon < t##. Combining these two statements, we have that ##(\sup T - \epsilon)(\sup S - \epsilon) = \sup T \sup S - \epsilon ' < st##. Since we already showed that \sup T \sup S, this shows that it is the supremum. Is this correct?
 
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I also do not find the hint helpful. But I think you're on a promising track here:
Mr Davis 97 said:
we have that ##(\sup T - \epsilon)(\sup S - \epsilon) ...##.
If you expand that product you will get an expression that should be able to be made arbitrarily close to ##\sup S\sup T##, via suitable choice of ##\epsilon##.
 
andrewkirk said:
I also do not find the hint helpful. But I think you're on a promising track here:

If you expand that product you will get an expression that should be able to be made arbitrarily close to ##\sup S\sup T##, via suitable choice of ##\epsilon##.
What I did was let ##\epsilon ' = \epsilon (\sup T +\sup S) - \epsilon ^2##. How could I show that this could be any positive real number?
 
Mr Davis 97 said:
What I did was let ##\epsilon ' = \epsilon (\sup T +\sup S) - \epsilon ^2##. How could I show that this could be any positive real number?
You don't need to. All you need do is show that ##\epsilon'## can be made arbitrarily small.
 
andrewkirk said:
You don't need to. All you need do is show that ##\epsilon'## can be made arbitrarily small.
Well. if ##\epsilon (\sup T + \sup S) - \epsilon ^2 > 0## then ##\epsilon < \sup T + \sup S##. Does this show that ##\epsilon '## can be made arbitrarily small? As long as ##\epsilon \in (0, \sup T + \sup S)##, then ##\epsilon '## is positive.
 
Mr Davis 97 said:
Well. if ##\epsilon (\sup T + \sup S) - \epsilon ^2 > 0## then ##\epsilon < \sup T + \sup S##.
That's heading off track. We have a formula that expresses ##\epsilon'## in terms of ##\epsilon## and ##\epsilon## is universally quantified so we can make it as close to 0 as we wish. I'm sure if you look at the formula for ##\epsilon'## you'll soon see how to make it as close to 0 as you need by choosing ##\epsilon## small enough. If you can make ##\epsilon'## as small as you wish then you can make ##st## as close to ##\sup S\sup T## as you wish, so there cannot be an upper bound below ##\sup S\sup T##.
 
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andrewkirk said:
That's heading off track. We have a formula that expresses ##\epsilon'## in terms of ##\epsilon## and ##\epsilon## is universally quantified so we can make it as close to 0 as we wish. I'm sure if you look at the formula for ##\epsilon'## you'll soon see how to make it as close to 0 as you need by choosing ##\epsilon## small enough. If you can make ##\epsilon'## as small as you wish then you can make ##st## as close to ##\sup S\sup T## as you wish, so there cannot be an upper bound below ##\sup S\sup T##.
Okay, I'm pretty much done with the proof now. I just have one question. How could I prove that ##\epsilon ' = \epsilon (\sup S + \sup T - \epsilon)## could in fact get as close to zero as I wish? I mean, it's intuitively clear. If we let ##a = (\sup S + \sup T - \epsilon)##, then clearly ##\epsilon ' = \epsilon a## can be made as close to zero as I wish, since ##a > 0## and ##\epsilon## can get as close to zero as we wish, as long as ##\epsilon < \sup S + \sup T##. Is this enough to prove it, or is there something more formal that I have to do?
 
Mr Davis 97 said:
Okay, I'm pretty much done with the proof now. I just have one question. How could I prove that ##\epsilon ' = \epsilon (\sup S + \sup T - \epsilon)## could in fact get as close to zero as I wish?
A strategy that usually works in these cases - where the control variable ##\epsilon## occurs more than once in the formula whose value one is trying to make small - is to try to show that the formula is ##\leq## a formula that is ##constant \times \epsilon##. Can you see a way to do that with the above?

The proof would take the form of letting ##\eta>0## be the number that we want to make ##\epsilon'## smaller than. Then say 'assume ##\epsilon <## [some formula involving ##\sup S,\sup T,\eta##]' and then work through the inequalities to prove that ##\epsilon'<\eta## if ##s,t## are within ##\epsilon## of ##\sup S,\sup T## respectively..

Choosing the constraint on ##\epsilon## carefully can result in a proof that doesn't contain any hand-waving and that is shorter and more intuitive than one that does.
 

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