English

A new method for estimating the real roots of real differentiable functions

Functional Analysis 2022-06-07 v2 Numerical Analysis Numerical Analysis

Abstract

We introduce a new type of Krasnoselskii's result. Using a simple differentiability condition, we relax the nonexpansive condition in Krasnoselskii's theorem. More clearly, we analyze the convergence of the sequence xn+1=xn+g(xn)2x_{n+1}=\frac{x_n+g(x_n)}{2} based on some differentiability condition of gg and present some fixed point results. We introduce some iterative sequences that for any real differentiable function gg and any starting point x0[a,b]x_0\in \mathbb [a,b] converge monotonically to the nearest root of gg in [a,b][a,b] that lay to the right or left side of x0x_0. Based on this approach, we present an efficient and novel method for finding the real roots of real functions. We prove that no root will be missed in our method. It is worth mentioning that our iterative method is free from the derivative evaluation which can be regarded as an advantage of this method in comparison with many other methods. Finally, we illustrate our results with some numerical examples.

Keywords

Cite

@article{arxiv.2111.14460,
  title  = {A new method for estimating the real roots of real differentiable functions},
  author = {Hassan Khandani and Farshid Khojasteh},
  journal= {arXiv preprint arXiv:2111.14460},
  year   = {2022}
}

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11 pages