Find the Conditions on A for Convergence of f(x) Root

  • MHB
  • Thread starter house2012
  • Start date
  • Tags
    Convergence
In summary, the conditions for the iteration $x_{n+1}=x_n-Ax$ to converge to a root of $f$ are as follows: the sequence must be differentiable at the root, the derivative must be negative, and the absolute value of the derivative must be less than or equal to two.
  • #1
house2012
2
0
Hey guys, I can't get his question dealing with orders of convergence at all so any help would be nice.

Q: Find the conditions on A so that the iteration $$x_{n+1}=x_n-Af(x_n)$$ will converge to a root of f if stared near the root.

I know I should look at the taylor series expansion of f about its root but I am stuck with working out.

Thanks for your help!
 
Mathematics news on Phys.org
  • #2
house2012 said:
Hey guys, I can't get his question dealing with orders of convergence at all so any help would be nice.

Q: Find the conditions on A so that the iteration $$x_{n+1}=x_n-Af(x_n)$$ will converge to a root of f if stared near the root.

I know I should look at the taylor series expansion of f about its root but I am stuck with working out.

Thanks for your help!

Write \(x_n=x_0+\varepsilon_n\), where \(x_0\) is the root of \(f(x)\)

Then:

\[
x_{n+1}=x_0+\varepsilon_{n+1}=x_0+\varepsilon_n - A\{f(x_0)+\varepsilon_n f'(x_0)+...\}
\]

Ignoring terms or order 2 and higher in \(\varepsilon_n\) we find:

\[\varepsilon_{n+1}=\varepsilon_n(1-Af'(x_0)) \]

So convergence occurs when the initial estimate is close enough to the solution when:

\[|1-Af'(x_0)|<1\]

CB
 
Last edited:
  • #3
house2012 said:
Hey guys, I can't get his question dealing with orders of convergence at all so any help would be nice.

Q: Find the conditions on A so that the iteration $$x_{n+1}=x_n-Af(x_n)$$ will converge to a root of f if stared near the root.

I know I should look at the taylor series expansion of f about its root but I am stuck with working out.

Thanks for your help!

In order to avoid confusion we indicate with $x^{*}$ the root of $f(*)$ and with $x_{0}$ the starting point of iterations. Other hypotheses are...

a) $A>0$...

b) $f(*)$ crosses the x axes with positive slope...

If a) and b) are satisfied, then, as explained in...

http://www.mathhelpboards.com/showthread.php?426-Difference-equation-tutorial-draft-of-part-I

... the sequence $x_{n}$ will converge to $x^{*}$ if it exists an interval $a<x<b$ which contains $x^{*}$ and $x_{0}$ ad where for any $x \ne x^{*}$ is...$\displaystyle |A\ f(x)|<2\ |x-x^{*}|$ (1)

More precisely if is...

$\displaystyle |A\ f(x)|\le |x-x^{*}|$ (2)

... the convergence will be 'monotonic' and if is...

$\displaystyle |x-x^{*}|<|A\ f(x)|<2\ |x-x^{*}|$ (3)

... the convergence will be 'oscillating'...

Kind regards

$\chi$ $\sigma$
 

FAQ: Find the Conditions on A for Convergence of f(x) Root

What does "convergence" mean in the context of a function?

Convergence refers to the behavior of a function as the input values approach a certain point or value. In other words, it is the tendency of a function to approach a specific value or limit as the input values get closer and closer to a certain point.

What are the conditions for convergence of a function?

The conditions for convergence of a function depend on the type of function being analyzed. For example, for a power series function, the radius of convergence and interval of convergence are key conditions to determine its convergence. Other types of functions may have different conditions such as continuity, monotonicity, or boundedness.

How do you find the conditions for convergence of a function?

The method for finding the conditions for convergence of a function depends on the type of function being analyzed. For power series functions, the radius of convergence can be found using the ratio test or the root test, while the interval of convergence can be determined by checking the endpoints and using the ratio or root test. For other types of functions, different methods may need to be used such as the limit comparison test, integral test, or comparison test.

Why is it important to find the conditions for convergence of a function?

Finding the conditions for convergence of a function is important because it allows us to determine the behavior of the function and whether it will approach a specific value or limit as the input values get closer to a certain point. This information is crucial in understanding the properties and applications of the function, and in analyzing its behavior in different scenarios.

Can a function have multiple conditions for convergence?

Yes, a function can have multiple conditions for convergence. For example, a power series function may have a radius of convergence and an interval of convergence, while a Fourier series may have different conditions for convergence for different types of convergence (e.g. pointwise, uniform, etc.). These different conditions help us understand the behavior of the function in different situations and can provide valuable information for its analysis and applications.

Similar threads

Replies
9
Views
2K
Replies
1
Views
1K
Replies
7
Views
2K
Replies
13
Views
2K
Replies
1
Views
10K
Replies
2
Views
2K
Replies
21
Views
3K
Replies
17
Views
3K
Back
Top