Fixed-Point Iteration Solver

xₙ₊₁ = g(xₙ) solver

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About Fixed-Point Iteration Solver

A fixed-point iteration solver. Finds x* where x* = g(x*) by iterating xₙ₊₁ = g(xₙ). Shows iteration table, convergence rate, and error estimate. Select from preset functions. Analyzes |g'(x*)| for convergence guarantee. All calculations are client-side.

Fixed-Point Iteration Solver Features

  • Iteration table
  • Convergence
  • |g'(x*)|
  • Error bound
  • Presets
Fixed-point iteration: xₙ₊₁ = g(xₙ). Converges if |g'(x*)| < 1 (contraction mapping). Rate: linear if g'(x*)≠0, quadratic if g'(x*)=0. Error: |xₙ−x*| ≤ Lⁿ/(1−L)|x₁−x₀| where L = max|g'|.

How to Use

Select a function:

  • g(x): Iteration function
  • x₀: Initial guess
  • Output: Fixed point x*

Convergence

Banach fixed-point theorem: if g maps [a,b]→[a,b] and |g'(x)| ≤ L < 1 on [a,b], then there exists a unique fixed point and iteration converges for any x₀ in [a,b].

Applications

  • Root finding: f(x)=0 → x = x−f(x) or x = x−f(x)/f'(x)
  • Newton's method IS fixed-point with g(x) = x−f(x)/f'(x)
  • Picard iteration for ODEs

Step-by-Step Instructions

  1. 1Select g(x).
  2. 2Enter x₀.
  3. 3Run iterations.
  4. 4Check convergence.
  5. 5Get fixed point.

Fixed-Point Iteration Solver — Frequently Asked Questions

How do I choose g(x) for root finding?+

Rearrange f(x)=0 into x=g(x). Multiple rearrangements possible: x²−2=0 → x=2/x or x=(x+2/x)/2. Check |g'| at expected root. The second form (Babylonian method) has g'=0 at √2, giving quadratic convergence!

What if |g'(x*)| > 1?+

Iteration diverges. Try a different rearrangement, or use accelerated methods: Aitken's Δ² method extrapolates convergence. Or switch to Newton's method (which is fixed-point with g'(x*)=0 at simple roots).

What is the convergence rate?+

Linear: |eₙ₊₁| ≈ L|eₙ| where L = |g'(x*)|. Each step reduces error by factor L. Quadratic (g'(x*)=0): |eₙ₊₁| ≈ C|eₙ|². Digits of accuracy roughly double each step. Newton's method achieves quadratic.

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