Proving sequence tends to limit

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Homework Help Overview

The problem involves proving that the expression $$\frac{x_n^2 - e}{x_n}$$ converges to $$1-e$$ as $$n$$ approaches infinity, given that $$x_n$$ converges to 1. The discussion centers around the application of limit laws and epsilon-delta definitions in the context of sequences and their convergence properties.

Discussion Character

  • Exploratory, Assumption checking, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss the validity of certain inequalities and the implications of bounding expressions involving epsilon. There are attempts to apply the triangle inequality and explore the limits of sequences, while questioning the sufficiency of certain bounds established in the original poster's reasoning.

Discussion Status

Participants are actively engaging with the problem, raising questions about the logic used in bounding expressions and the application of limit laws. Some suggest alternative approaches and clarify misunderstandings regarding the convergence of sequences. There is no explicit consensus, but several productive lines of reasoning are being explored.

Contextual Notes

There are constraints regarding the use of epsilon in the proof, with participants noting that the original poster's approach may not hold for all epsilon values. The discussion also highlights the importance of correctly applying limit laws and the implications of bounding expressions in the context of convergence.

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Homework Statement


Prove that $$\frac{x_n^2 - e}{x_n} \rightarrow 1-e$$ as ##n \rightarrow \infty##, provided ##x_n \rightarrow 1## as n ##\rightarrow \infty##.

The Attempt at a Solution


The above holds if ##\,\forall\, \epsilon > 0 \,\exists \, N\, \in\, \mathbb{N}## such that if n ##\geq N## then ##|\frac{x_n^2 - e}{x_n} - (1-e)| < \epsilon##. Work with the expression in the mod signs and rewrite as: $$|x_n - \frac{e}{x_n} - 1 +e| \leq |x_n - 1| + |e-\frac{e}{x_n}|$$using the ##\Delta## inequality. The first term is ##< \epsilon## and the additional term on the RHS is positive, so can I just stop here?

If not, I proceeded using the fact that ##|x_n-1| < \epsilon## and established that ##|-\frac{1}{x_n}| < \frac{1}{1-\epsilon}\,\,(1)## This gives an upper bound entiirely in terms of ##\epsilon##. Since the statement should hold for all ##\epsilon##,then I would usually finsih here. However, I notice that if ##\epsilon =1## then I end up with nonsense. Is there something else I can try?

Many thanks.
 
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The first term is <ϵ and the additional term on the RHS is positive, so can I just stop here?
You cannot prove that something is smaller than ϵ with the statement "it is smaller than ϵ+(something positive)".

Do you know some basic laws of limits? Like the limit of a_n+b_n, if both a_n and b_n converge? You can prove the statement with those laws only, you don't need any ϵ.
 
mfb said:
You cannot prove that something is smaller than ϵ with the statement "it is smaller than ϵ+(something positive)".

I have seen proofs in my book where they have LHS < 2ε and conclude even though 2ε is greater than ε since ε is positive. The reasoning was that the statement holds for all epsilon, so it satisfies the requirement for the LHS to converge. I was trying to apply the same reasoning here: since above we have LHS < ε + ε, then in my case, the second terms is also > 0 so it is quite similar, no?

Do you know some basic laws of limits? Like the limit of a_n+b_n, if both a_n and b_n converge? You can prove the statement with those laws only, you don't need any ϵ.

Yes, but I should have made it clear in the problem statement that this is to be done via ε-N.
 
CAF123 said:
I have seen proofs in my book where they have LHS < 2ε and conclude even though 2ε is greater than ε since ε is positive. The reasoning was that the statement holds for all epsilon, so it satisfies the requirement for the LHS to converge. I was trying to apply the same reasoning here: since above we have LHS < ε + ε, then in my case, the second terms is also > 0 so it is quite similar, no?
It works if you include that factor of 2 and find an upper estimate for the second factor, right.

You can restrict the analysis to ϵ<a for any number a you like - in particular, it is not necessary to consider ϵ=1.
 
mfb said:
It works if you include that factor of 2 and find an upper estimate for the second factor, right.

You can restrict the analysis to ϵ<a for any number a you like - in particular, it is not necessary to consider ϵ=1.

Since the statement is to hold for every ε > 0, though, when I take ε to be 1, the upper bound for |1/xn| is undefined. So the bound I have is not true for all epsilon.
 
That is not the direction the logic works.
"For every ε, there is an N such that |whatever(n)|<ε for n>N"
If that is true for ε=0.1 (with N=124, for example), it means that |whatever(n)|<0.1 for n>124.
This implies |whatever(n)|<1 for n>124, so ε=1 is fine as well and you don't have to check it.

Therefore, you can restrict the analysis to small ε if you like.
 
Thanks mfb, so just going back to my workings in the OP, I have established an upper bound in terms of ##\epsilon## and so the LHS will be smaller than some small ##\epsilon##. However, since i have e in the second term: (my upper bound is) $$LHS < \epsilon + e \frac{2-\epsilon}{1-\epsilon},$$ I can't make the LHS get any smaller than ##\approx e##.
 
I don't know where that expression comes from.

##|x_n-x|<a## => ##|\frac{1}{x_n}-\frac{1}{x}|<\frac{2a}{x^2}## for sufficiently small a and xn>0 ,x>0 could be a useful approximation.
 
mfb said:
I don't know where that expression comes from.

I got $$|\frac{x_n^2 - e}{x_n} - (1-e)| \leq |x_n - 1| + |e - \frac{e}{x_n}|$$ as in the OP by triangle inequality. I have an upper bound for the first term and to get an upper bound for the second I applied the triangle inequality again: $$|e - \frac{e}{x_n}| = e|1-\frac{1}{x_n}| \leq e[1 + |-\frac{1}{x_n}|]\,\,(1)$$ Using the fact that ##-\epsilon < x_n - 1 < \epsilon## I have that ##|-\frac{1}{x_n}| < \frac{1}{1-\epsilon}##. So (1) is < e + (e/1-ε)

Then $$|\frac{x_n^2 - e}{x_n} - (1-e)| \leq \epsilon + e\left(1 + \frac{1}{1-\epsilon}\right) = \epsilon + e\left(\frac{2 - \epsilon}{1-\epsilon}\right)$$
 
  • #10
Well, that method does not work, as you can see from the result. You need some better way to re-write 1/x_n.
 
  • #11
mfb said:
Well, that method does not work, as you can see from the result.

It doesn't work because we have a lower bound for the RHS (that being e which is not equal to 0)?
You need some better way to re-write 1/x_n.

Instead of using the triangle inequality again ,I rewrote $$|1-\frac{1}{x_n}| = \left|\frac{x_n - 1}{x_n}\right| = \frac{|x_n - 1|}{|x_n|} < \frac{\epsilon}{x_n}$$ For ##n \geq N##, ##x_n \rightarrow 1##, so this is less than ##\epsilon##. Is it better?

EDIT: I removed the mod sign for some reason. I am not sure how else to express 1/x_n. I got the bound $$\left|1-\frac{1}{x_n}\right| < \frac{\epsilon}{1+\epsilon}$$ so in the end, I have a final bound of $$LHS < \epsilon + \frac{e\epsilon}{1+\epsilon}$$ but this still limits the size of the right hand side.
 
Last edited:
  • #12
CAF123 said:
It doesn't work because we have a lower bound for the RHS (that being e which is not equal to 0)?
Maybe it is clearer with an example:
If you want to show that 1<3 and you show 1<5 this inequality is right, but it does not help. Showing 1<2 would help, however (assuming you know 2<3).

Instead of using the triangle inequality again ,I rewrote $$|1-\frac{1}{x_n}| = \left|\frac{x_n - 1}{x_n}\right| = \frac{|x_n - 1|}{|x_n|} < \frac{\epsilon}{x_n}$$ For ##n \geq N##, ##x_n \rightarrow 1##, so this is less than ##\epsilon##. Is it better?
x_n->1 is not sufficient to have ##\frac{\epsilon}{x_n}<\epsilon##.

The last formula looks better, but I think it uses the wrong conclusion from above. It should work with 1-ϵ in the denominator.

You still need some variation to get the whole thing to be <ϵ, or modify the start of the proof such that <ϵ*whatever is sufficient.
 

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