Discussion Overview
The discussion revolves around the application of Newton's method to the function $f(x)=(x-2)^4+(x-2)^5$, focusing on the convergence properties of the method. Participants explore both linear and quadratic convergence rates, seeking to prove these rates and determine the associated constants. The scope includes mathematical reasoning and technical explanations related to iterative methods in numerical analysis.
Discussion Character
- Technical explanation
- Mathematical reasoning
- Debate/contested
Main Points Raised
- Some participants observe that applying Newton's method with an initial guess of $x_0=3$ leads to linear convergence with a rate constant of $3/4$.
- Others propose an alternative iterative method defined as $x_{k+1}=x_k-4f(x_k)/f'(x_k)$, suggesting it should converge more rapidly.
- Participants discuss how to demonstrate the quadratic convergence of the new method and determine its rate constant.
- There is a focus on defining $\Delta x_k$ as the difference between $x_k$ and the actual root, with some participants detailing the mathematical steps involved in the convergence analysis.
- Some participants question the validity of certain mathematical steps and seek clarification on the meaning of $\mathcal O(y^2)$ in the context of convergence analysis.
- There is a discussion about the implications of the multiplicity of the root on the convergence rate.
- One participant confirms that the second method yields a rate constant of $1/4$ based on their expansion of the iterative formula.
Areas of Agreement / Disagreement
Participants generally agree on the application of Newton's method and the exploration of convergence rates, but there are multiple competing views regarding the proofs and the determination of rate constants. The discussion remains unresolved on some aspects, particularly regarding the quadratic convergence of the second method and the exact rate constant.
Contextual Notes
Limitations include unresolved mathematical steps in proving convergence rates and the dependence on the definitions of convergence and the behavior of the function near the root.