Proving the Sequence of Real Numbers is Not Cauchy

tylerc1991
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Homework Statement



Show that the sequence of real numbers defined by x_{n + 1} = x_n + \frac{1}{x_n^2}, \, x_1 = 1 is not a Cauchy sequence.

Homework Equations



A sequence \{ p_n \} is Cauchy if and only if, for all \varepsilon > 0, there exists an N > 0 such that d(p_n, p_m) < \varepsilon for all m, n > N.

The Attempt at a Solution



We can assume that d is the usual metric on \mathbb{R}. I don't even see where to begin. I see that the sequence is monotonically increasing, so that
1 = \frac{1}{x_1} > \frac{1}{x_2} > \frac{1}{x_3} > \dotsb.
So
1 = \frac{1}{x_1^2} > \frac{1}{x_2^2} > \frac{1}{x_3^2} > \dotsb.
To me it looks like the sequence is in fact Cauchy. Please help!
 
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Well if you're trying to show that it is not Cauchy, state what it means for a sequence to not be Cauchy. That is where I would start :)
 
Kindayr said:
Well if you're trying to show that it is not Cauchy, state what it means for a sequence to not be Cauchy. That is where I would start :)

The sequence isn't Cauchy if there exists an \varepsilon > 0 such that for all N > 0 there exists m, n > 0 such that d(x_m, x_n) \geq \varepsilon.

...

still stuck

...
 
Do you have the theorem that a sequence is Cauchy if and only if it is convergent? And if so, what happens if you suppose ##\lim_{x\rightarrow \infty} = L##?
 
LCKurtz said:
Do you have the theorem that a sequence is Cauchy if and only if it is convergent? And if so, what happens if you suppose ##\lim_{x\rightarrow \infty} = L##?

Yes, I can assume the sequence is Cauchy if and only if it is convergent. The definition of limits that we are using states that \lim_{n \to \infty} x_n = L if and only if
\forall \varepsilon > 0 \, \exists N > 0 \, s.t. \, \forall n > N \quad d(L, x_n) < \varepsilon.

Now can I somehow use the fact that x_n is increasing to say that d(L, x_n) is always increasing? And hence it is greater than or equal to \varepsilon for some n?
 
tylerc1991 said:
Yes, I can assume the sequence is Cauchy if and only if it is convergent. The definition of limits that we are using states that \lim_{n \to \infty} x_n = L if and only if
\forall \varepsilon > 0 \, \exists N > 0 \, s.t. \, \forall n > N \quad d(L, x_n) < \varepsilon.

Now can I somehow use the fact that x_n is increasing to say that d(L, x_n) is always increasing? And hence it is greater than or equal to \varepsilon for some n?

It's easier than that. If the sequence has a limit, what happens if you take the limit of both sides of your recursion?
 
LCKurtz said:
It's easier than that. If the sequence has a limit, what happens if you take the limit of both sides of your recursion?

The limit of both sides of the recurrence should then equal the same thing, namely L. Then I would have that

\lim_{n \to \infty} x_{n + 1} = \lim_{n \to \infty} x_n + \frac{1}{x_n^2} = L + \lim_{n \to \infty} \frac{1}{x_n^2} = L.

Doesn't this simply prove that \lim_{n \to \infty} \frac{1}{x_n^2} = 0?
 
tylerc1991 said:
The limit of both sides of the recurrence should then equal the same thing, namely L. Then I would have that

\lim_{n \to \infty} x_{n + 1} = \lim_{n \to \infty} x_n + \frac{1}{x_n^2} = L + \lim_{n \to \infty} \frac{1}{x_n^2} = L.

Doesn't this simply prove that \lim_{n \to \infty} \frac{1}{x_n^2} = 0?

But then doesn't this imply \lim_{n \to \infty} x_n^2 = \infty? completing the problem?
 
Can that second limit be 0 while the first limit exists? Is there a number L such that 1/L^2=0?
 
  • #10
Matterwave said:
Can that second limit be 0 while the first limit exists? Is there a number L such that 1/L^2=0?

Exactly. Thank you LCKurtz for your patience! :)
 
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