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On Convergence of the Secant Method

Yan Tan, Chenhao Ye, Qinghai Zhang, Shubo Zhao

TL;DR

This work provides a rigorous treatment of the secant method's convergence order, proving Q-superlinear convergence for simple roots with p = $r_0=\frac{1+\sqrt{5}}{2}$ and an asymptotic constant $c = m_\alpha^{r_0-1}$, where $m_\alpha=|f''(\alpha)/(2f'(\alpha))|$. It naturalizes the Fibonacci-based analysis to avoid vague asymptotics and supplies a detailed comparison to Newton's method, including a time-based criterion for when the secant method can be faster. For multiple roots, the paper proves Q-linear convergence and identifies the limiting constant $c_{m,0}$ as the positive root of $p_m(k)=k^m+k^{m-1}-1=0$ in (0,1), while providing explicit initial-value conditions that guarantee convergence (and illustrating possible divergences). Overall, the results fill gaps in textbook treatments by offering rigorous, condition-checked convergence proofs and practical guidelines for initial values, with implications for selecting methods in root-finding tasks.

Abstract

The secant method, as an important approach for solving nonlinear equations, is introduced in nearly all numerical analysis textbooks. However, most textbooks only briefly address the Q-order of convergence of this method, with few providing rigorous mathematical proofs. This paper establishes a rigorous proof for the Q-order of convergence of the secant method and theoretically compares its computational efficiency with that of Newton's method.

On Convergence of the Secant Method

TL;DR

This work provides a rigorous treatment of the secant method's convergence order, proving Q-superlinear convergence for simple roots with p = and an asymptotic constant , where . It naturalizes the Fibonacci-based analysis to avoid vague asymptotics and supplies a detailed comparison to Newton's method, including a time-based criterion for when the secant method can be faster. For multiple roots, the paper proves Q-linear convergence and identifies the limiting constant as the positive root of in (0,1), while providing explicit initial-value conditions that guarantee convergence (and illustrating possible divergences). Overall, the results fill gaps in textbook treatments by offering rigorous, condition-checked convergence proofs and practical guidelines for initial values, with implications for selecting methods in root-finding tasks.

Abstract

The secant method, as an important approach for solving nonlinear equations, is introduced in nearly all numerical analysis textbooks. However, most textbooks only briefly address the Q-order of convergence of this method, with few providing rigorous mathematical proofs. This paper establishes a rigorous proof for the Q-order of convergence of the secant method and theoretically compares its computational efficiency with that of Newton's method.
Paper Structure (10 sections, 25 theorems, 154 equations)

This paper contains 10 sections, 25 theorems, 154 equations.

Key Result

Theorem 2.3

\newlabelthm:BinetFormula0 Denote the golden ratio by $r_0 := \frac{1 + \sqrt{5}}{2}$ and let $r_1 := 1 - r_0 = \frac{1 - \sqrt{5}}{2}$. Then

Theorems & Definitions (51)

  • Example 1.1
  • Example 1.2
  • Definition 2.1: Q-order of convergence
  • Definition 2.2
  • Theorem 2.3: Binet's formula
  • Corollary 2.4
  • Proof 1
  • Theorem 2.7: Taylor's theorem
  • Theorem 2.8: Lagrange's mean value theorem
  • Corollary 2.9
  • ...and 41 more