Understanding the Proof of R is Complete: S Explained

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Homework Help Overview

The discussion revolves around the completeness of the real numbers, specifically focusing on the proof that any Cauchy sequence of real numbers converges to a real number. The original poster expresses confusion regarding the definition and role of the set S, which is defined as the collection of real numbers that are less than or equal to infinitely many terms of a given Cauchy sequence.

Discussion Character

  • Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants explore the definition of the set S and its implications for the proof of completeness. Some question the nature of convergence and the properties of Cauchy sequences, while others provide examples to illustrate their points.

Discussion Status

The conversation is ongoing, with participants offering different perspectives on the definition of convergence and the properties of the set S. Some guidance has been provided regarding the explicit description of S, but there is no clear consensus on all aspects of the proof or the definitions involved.

Contextual Notes

There are indications of varying interpretations of convergence and completeness, as well as the potential for confusion regarding the definitions used in the proof. Participants acknowledge their own uncertainties and the complexity of the topic.

VonWeber
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Homework Statement



I'm reading a book on analysis independently. There is a Theorem that R is complete, i.e. any Cauchy sequence of real numbers converges to a real number.

He let's a1, a2, a3, ... be a Cauchy sequence, then considers the the set:

S = { x an element of R : x ≤ an for an infinite number of positive integers n }

and the proof shows that lim an = supS.

I'm baffled at what the set S is supposed to be. The proof won't work if it is the intersection of sets { x : x ≤ an } for all n, nor union of such sets. It can't be the limit of an because this is a proof of it's existence.
 
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The set S seems explicitly described.

x is in S if and only if x is less than or equal to infinitely many of the a_i.
 
If R is not complete, then there exists a convergent sequence that converges to number that is not real.

So to show R is complete, you must show ALL convergent sequences converge to a real number. We already know all convergent sequences are Cauchy, so if you show all Cauchy sequences in R converge to a number in R, then you have shown all convergent sequences converge to a number in R which by def means R is complete.

If you already knew the above sorry =b

By axiom (I believe, I am rusty), R has the least upperbound (lub) property. That means if I have a sequence with an upper bound, it will have a least upper bound, and what's important for this proof is that by "have a least upper bound" we mean that not only does the lub exist, but it is a real number.

What's the goal? To show a_n is is a real number.

Well, your proof comes up with a bounded (by above) set, which gives it a lub that is real. Then it turns out that a_n is the lub, so a_n is real. Which is the goal.


If you also already knew the above then bourbaki probably explained it.. I can only help with an example:

Consider:
a_n := 1/n ie 1, 1/2 , 1/3, 1/4 (just a random convergent sequence).. then

S = R^- U { 0 } (all the negative real numbers and 0).

You can see easily that the lub is 0 and that a_n converges to 0.

what if we let it go to 0 from the left?
a_n = 0 - 1/n ie -1, -1/2, -1/3 etc

S = (-infty,0) // why not 0?

Anyways,.. again the lub is 0 and this is another example of an S.

So the quick answer is S is a trick used to solve the problem, and someone (I hope!) spent a long time figuring it out.. I only hope because it would have taken me personally a long time, if ever, to prove it like this.
 
mistermath said:
If R is not complete, then there exists a convergent sequence that converges to number that is not real.
How, exactly are you defining "convergent" in this case? I would have said, rather, that there exist Cauchy sequences that do not converge.

So to show R is complete, you must show ALL convergent sequences converge to a real number.
again, since you are working in the real number system, there are no numbers except real numbers. How are you defining "converge" here?

We already know all convergent sequences are Cauchy, so if you show all Cauchy sequences in R converge to a number in R, then you have shown all convergent sequences converge to a number in R which by def means R is complete.

If you already knew the above sorry =b

By axiom (I believe, I am rusty), R has the least upperbound (lub) property. That means if I have a sequence with an upper bound, it will have a least upper bound, and what's important for this proof is that by "have a least upper bound" we mean that not only does the lub exist, but it is a real number.

What's the goal? To show a_n is is a real number.

Well, your proof comes up with a bounded (by above) set, which gives it a lub that is real. Then it turns out that a_n is the lub, so a_n is real. Which is the goal.


If you also already knew the above then bourbaki probably explained it.. I can only help with an example:

Consider:
a_n := 1/n ie 1, 1/2 , 1/3, 1/4 (just a random convergent sequence).. then

S = R^- U { 0 } (all the negative real numbers and 0).

You can see easily that the lub is 0 and that a_n converges to 0.

what if we let it go to 0 from the left?
a_n = 0 - 1/n ie -1, -1/2, -1/3 etc

S = (-infty,0) // why not 0?

Anyways,.. again the lub is 0 and this is another example of an S.

So the quick answer is S is a trick used to solve the problem, and someone (I hope!) spent a long time figuring it out.. I only hope because it would have taken me personally a long time, if ever, to prove it like this.
 
I like your wording better.

If R is not complete, then there exists a Cauchy sequence that does not converge.

Thanks :)
 
n_bourbaki said:
The set S seems explicitly described.

x is in S if and only if x is less than or equal to infinitely many of the a_i.

Thanks, perfect. Sometimes just hearing something said with different wording helps people get unstuck.
 

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