Where Will Fixed-Point Iteration Method Converge?

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Homework Help Overview

The discussion revolves around the Fixed-Point Iteration Method and the conditions under which it converges. Participants are exploring how to determine the appropriate interval [a,b] for the method to be effective, particularly for non-trivial functions.

Discussion Character

  • Exploratory, Assumption checking, Conceptual clarification

Approaches and Questions Raised

  • Participants discuss the conditions necessary for convergence as stated in a theorem, questioning how to identify the interval [a,b] that meets these conditions for various functions.

Discussion Status

The conversation is ongoing, with some participants providing insights into the theorem's implications and the challenges of applying it to non-trivial functions. There is recognition of the need for educated guesses and the potential use of computational tools to assist in finding suitable intervals.

Contextual Notes

Participants note that the conditions for convergence are sufficient but not necessary, highlighting the complexity of dealing with ill-conditioned functions in numerical analysis.

khdani
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Hello,
How do i find the interval in which using Fixed-Point iteration method, the iteration will converge ?
 
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Let g Є C[a,b] such that g(x) Є [a,b], for all x Є [a,b]. Suppose, in addition, that g' exist on (a,b) and that a constant 0 < k < 1 exists with |g'(x)| <= k, for all x Є (a,b)

Then, for any number Po in [a,b], the sequence defined by

Pn = g(Pn-1), n >= 1

converges to the unique fixed point p in [a,b].

Of course this is for just a fixed point for a function of one variable. Just work with your interval so that those conditions are satisfied.
 
Last edited:
The theorem you've written tells me that the iteration will converge to the fixed point
Po in [a,b], according to the terms of the theorem.
But my question is, how do i find the interval [a,b], especially for some non trivial function ?
 
The thing about numerical analysis as that the majority of the time you are going to run into functions or systems that are ill-conditioned. The theorem I wrote down is the fixed point iteration theorem which guarantees convergence. That is, those conditions are sufficient for convergence but not necessary. I haven't seen any other theorems about fixed point iteration that guarantee convergence, at least not in my Numerical Analysis textbooks.

Then the only way to find an interval that guarantees convergence is to make educated guesses about what interval you should use and then check if the conditions are satisfied. This is where programs like Maple/Matlab, etc come in handy, you could written a program that checks interesting intervals until you find an interval that works. I can't think of any other way, otherwise It would have probably been written a textbook right beside the theorem. Of course as you said, non-trivial functions probably won't satisfy one of the two conditions.
 
Last edited:
I understand now, Thank you!
 

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