Newton's method for a system of equations

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Discussion Overview

The discussion centers on the convergence criteria for Newton's method applied to systems of nonlinear equations. Participants explore theoretical aspects, potential resources, and mathematical foundations related to convergence.

Discussion Character

  • Exploratory, Technical explanation, Debate/contested

Main Points Raised

  • One participant questions the circumstances under which Newton's method for a system of nonlinear equations will converge and whether any criteria guarantee convergence.
  • Another participant shares a link to lecture notes from the Technical University of Trondheim, noting they have not verified the mathematical validity of the content.
  • A different participant references Kantorovich's Theorem, suggesting that convergence is possible under certain inequalities for the initial input in a vector-valued multivariable function.
  • One participant draws a parallel between Newton's method and fixed-point iteration, proposing that the conditions for convergence in single-variable cases can be extended to multivariable scenarios, mentioning the importance of the sum of absolute values of partial derivatives being less than a constant K.

Areas of Agreement / Disagreement

Participants express various viewpoints on convergence criteria, with no consensus reached on specific guarantees or conditions for Newton's method in this context.

Contextual Notes

Some claims depend on specific mathematical definitions and assumptions that are not fully explored in the discussion. The applicability of the shared resources and the validity of the proposed theorems remain unverified.

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Under what circumstances will Newtons method for a system of nonlinear equations converge? Are there any criteria at all which guarantees convergence?

Regards
 
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Interesting question!

I googled a bit, and found a lecture note that might be of interest:
http://www.math.ntnu.no/emner/TMA4122/2006h/notat-src/nr-systems-a4.pdf

(This is from the Technical University of Trondheim (NTNU), which has overall good standards, also internationally)
NOTE OF CAUTION:

I haven't as yet read it through; so I cannot say whether it is mathematically acceptable.
 
http://planetmath.org/encyclopedia/KantorovitchsTheorem.html will tell you that Newton's method applied to a vector-valued multivariable function converges if started from an input which satisfies some inequalities. There are several versions for stronger types of convergence.
 
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Remember, Newtons method is basically the same as fixed-point iteration.

So, I'm assuming you know what needs to happen for convergence of a single variable in the fixed point case. Simply extend that to the multivariable case.

i.e, There exists a 'K' between 0 < K < 1, where you will start adding absolute values of partial derivatives, which will end up being less than K. If you have a textbook, hopefully it will either mention it in the main text, or as an exercise.

It's kind of important. If this is for an introductory numerical analysis class, it might not be covered in an introductory text.
 
Thank you all for your replies!
 

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