Convergence of a Recursive Sequence

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The discussion revolves around determining the convergence of a recursive sequence derived from Newton's Method, specifically defined as x0=1 and xn+1=xn-(tan(xn)-1)/sec^2(xn). Participants express confusion about how to approach the problem, particularly regarding the behavior of the sequence as n approaches infinity. It is noted that the original function has discontinuities at certain points, which can be addressed by using an equivalent function that avoids these issues. After computing several terms, a participant observes that the sequence appears to converge to approximately 0.7853981634, but there is clarification that the sequence converges to a value where the function g(x) approaches zero, not the x-values themselves. The conversation emphasizes the need for a proper proof of convergence rather than relying solely on numerical approximations.
zachfoltz
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Homework Statement


The following sequence comes from the recursion formula for Newton's Method.
x0= 1 , xn+1=xn-(tanxn-1)/sec2xn
Show if the sequence converges or diverge.

Homework Equations


The Attempt at a Solution


I don't really know where to start on this problem, I have tried to use some trig identities to no avail, but I don't know what else to do. Any help is appreciated, thanks!
 
Last edited:
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What's the question?
 
oh sorry your supposed to show if it converges or not.
 
If the x_n converges to a limit L what happens to x_n+1 if n->inf?
 
I'm not sure, does it also approach L?
 
zachfoltz said:

Homework Statement


The following sequence comes from the recursion formula for Newton's Method.
x0= 1 , xn+1=xn-(tanxn-1)/sec2xn


Homework Equations





The Attempt at a Solution


I don't really know where to start on this problem, I have tried to use some trig identities to no avail, but I don't know what else to do. Any help is appreciated, thanks!

What is stopping you from computing a few of the initial x_n values, say for n = 1, 2, 3,... ? This might offer some insight.

One possible problem I can see is that your initial definition
f(x) = x - \frac{\tan(x)-1}{\sec^2(x)}
is meaningless at ##x = \pi/2, 3\pi/2, \ldots## where both the numerator and the denominator are infinite, but the algebraically equivalent form
f_1(x) = x - \sin(x) \cos(x) + \cos^2(x)
has no problems at any values of x. In other words, while your original f(x) is not defined at some x-values, we have ##f(x) = f_1(x)## at ##x \neq \pi/2, 3\pi/2, \ldots## and
\lim_{x \to p} f(x) = \lim_{x \to p} f_1(x) = f_1(p)
holds for ##p = \pi/2, 3\pi/2, \ldots ##. In other words, f(x) has "removable" discontinuities, and can thus be replace by f_1(x) in the optimization algorithm. Is that the source of your problems?
 
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Also, how could I prove that x_n converges to a limit L? Thanks for responding, I really want to get this problem, I just can't seem to get it on my own.
 
Ray Vickson said:
What are you attempting to do? What is stopping you from computing a few of the initial x_n values, say for n = 1, 2, 3,... .

One possible problem I can see is that your initial definition
f(x) = x - \frac{\tan(x)-1}{\sec^2(x)}
is meaningless at ##x = \pi/2, 3\pi/2, \ldots## where both the numerator and the denominator are infinite, but the algebraically equivalent form
f_1(x) = x - \sin(x) \cos(x) + \cos^2(x)
has no problems at any values of x. In other words, while your original f(x) is not defined at some x-values, we have ##f(x) = f_1(x)## at ##x \neq \pi/2, 3\pi/2, \ldots## and
\lim_{x \to p} f(x) = \lim_{x \to p} f_1(x) = f_1(p)
holds for ##p = \pi/2, 3\pi/2, \ldots ##. In other words, f(x) has "removable" discontinuities, and can thus be replace by f_1(x) in the optimization algorithm. Is that the source of your problems?

I need to find what it converges to, so I believe that entails taking the lim as x -> ∞ but the lim of any trig function as it goes to infinity is undefined. Is that what I'm supposed to do?
 
zachfoltz said:
I need to find what it converges to, so I believe that entails taking the lim as x -> ∞ but the lim of any trig function as it goes to infinity is undefined. Is that what I'm supposed to do?

No, that is not what you were asked about. You were asked to look at the sequence ##x_0 = 1, \: x_{n+1} = f(x_n)## for a given function f(x). You were asked if the sequence ##x_0, x_1, x_2, \ldots## is convergent.
 
  • #10
Ray Vickson said:
No, that is not what you were asked about. You were asked to look at the sequence ##x_0 = 1, \: x_{n+1} = f(x_n)## for a given function f(x). You were asked if the sequence ##x_0, x_1, x_2, \ldots## is convergent.

So when I try to evaluate x1 I get x1=x0+1=x0-sin(x0)cos(x0)+cos2(x0)=(1)-sin(1)cos(1)+cos2(1). How can you evaluate this?
 
  • #11
zachfoltz said:
So when I try to evaluate x1 I get x1=x0+1=x0-sin(x0)cos(x0)+cos2(x0)=(1)-sin(1)cos(1)+cos2(1). How can you evaluate this?

Use a calculator, or a computer package. You can even use an on-line facility such as Wolfram Alpha.
 
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  • #12
Ray Vickson said:
Use a calculator, or a computer package. You can even use an on-line facility such as Wolfram Alpha.

Ok, I used a calculator to continue to find the next number in the sequence about 4 or 5 inputs and I start to get .7853981634... every time. This should then be the number the sequence converges to, the only problem is that the initial equation was of the form of Newton's method, which is used to find x intercepts (roots/zeros). Therefore this sequence HAS to converge to zero, but I should be able to prove this.
 
  • #13
Sorry, that is the answer, much thanks for the help!
 
  • #14
zachfoltz said:
Ok, I used a calculator to continue to find the next number in the sequence about 4 or 5 inputs and I start to get .7853981634... every time. This should then be the number the sequence converges to, the only problem is that the initial equation was of the form of Newton's method, which is used to find x intercepts (roots/zeros). Therefore this sequence HAS to converge to zero, but I should be able to prove this.

NO, that is not the case. Newton's method seeks a solution of an equation g(x) = 0; it is g that needs to go to zero, NOT x! For example, if you want to compute √2 you can use Newton's method on the function g(x) = x^2 - 2. You will find that the x_n converge to 1.414213562... , and that g(x_n) → 0, and this is exactly what you need.

As for your problem, I just suggested you do computations in order to get a "feel" for what is happening. Whether or not that is an acceptable solution to your problem is something your instructor will decide. Perhaps he/she wants an actual proof of convergence, in which case the numbers themselves would not be enough.
 
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