Proving sequence tends to limit

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The discussion focuses on proving that the limit of the expression (x_n^2 - e) / x_n approaches 1 - e as n approaches infinity, given that x_n approaches 1. Participants emphasize the importance of establishing bounds using epsilon-delta definitions and the triangle inequality. There is debate over whether the approach of bounding the expression with additional positive terms is valid, as it may not satisfy the necessary conditions for convergence. Suggestions include using basic limit laws and finding better ways to express terms like 1/x_n to achieve the desired bounds. Ultimately, the conversation highlights the complexity of limit proofs and the need for careful consideration of inequalities.
CAF123
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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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