A Semilocal Convergence for a Uniparametric Family of Efficient Secant-Like Methods
Abstract
We present a semilocal convergence analysis for a uniparametric family of efficient secant-like methods (including the secant and Kurchatov method as special cases) in a Banach space setting (Ezquerro et al., 2000–2012). Using our idea of recurrent functions and tighter majorizing sequences, we provide convergence results under the same or less computational cost than the ones of Ezquerro et al., (2013, 2010, and 2012) and Hernández et al., (2000, 2005, and 2002) and with the following advantages: weaker sufficient convergence conditions, tighter error estimates on the distances involved, and at least as precise information on the location of the solution. Numerical examples validating our theoretical results are also provided in this study.
1. Introduction
Let U(x, r) and stand, respectively, for the open and closed ball in 𝒳 with center x ∈ 𝒳 and radius r > 0. Denote by ℒ(𝒳, 𝒴) the space of bounded linear operators from 𝒳 into 𝒴.
Many problems from computational sciences, physics and other disciplines can be taken in the form of (1) using mathematical modelling [1–7]. The solution of these equations can rarely be found in closed form. That is why the solution methods for these equations are iterative. In particular, the practice of numerical analysis for finding such solutions is essentially connected to variants of Newton′s method [1, 2, 4–10]. The study about the convergence of iterative procedures is usually focused on two types: semilocal and local convergence analysis. The semilocal convergence is, based on the information around an initial point, to give criteria ensuring the convergence of iterative procedure; while the local one is, based on the information around a solution, to find estimates of the radii of convergence balls. There are a lot of studies on the weakness and/or extension of the hypothesis made on the underlying operators; see, for example, [1–26] and the references therein.
Secant-like method (2) can be considered as a combination of the secant and Newton’s method. Indeed, if μ = 0, we obtain the secant method and if μ = 1, we get Newton’s method provided that F′ is Fréchet-differentiable on 𝒟, since then xn = yn and [yn, xn; F] = F′(xn).
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(A1) Weaker sufficient convergence conditions.
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(A2) Tighter estimates on the distances ∥xn+1 − xn∥ and ∥xn − x*∥ for each n = 0,1, ….
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(A3) At least as precise information on the location of the solution.
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(A4) The results are presented in affine invariant form, whereas the ones in [5] are given in nonaffine invariant forms. The advantages of affine versus nonaffine results have been explained in [1, 4, 6–8, 14, 15].
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(C1) There exists a divided difference of order one [z, w; F] ∈ ℒ(𝒳, 𝒴) satisfying (3).
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(C2) There exist x0 ∈ 𝒟, η ≥ 0 such that and .
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(C3) There exist x−1, x0 ∈ 𝒟 and c ≥ 0 such that
() -
(C4) There exists K > 0 such that
()
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(C5) ,
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(C6) ,
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(C7) for each x, y ∈ 𝒟.
The paper is organized as follows. In Section 2, we show that under the same hypotheses as in [23] and using recurrent relations, we obtain at least as precise information on the location of the solution. Section 3 contains the semilocal convergence analysis using weaker hypotheses and recurrent functions. We also show the advantages (A). The results are also extended to cover the case of equations with nondifferentiable operators. Numerical examples are presented in the concluding Section 4.
2. Semilocal Convergence Using Recurrent Relations
Next, we present the main result in this section in affine invariant form.
Theorem 1. Under the (C) hypotheses, further suppose that
Proof. The proof with the exception of the uniqueness part is given in Theorem 3 in [5] if we use instead of F and set b = 1, where .
To prove the uniqueness of the solution, let us assume that y* ∈ 𝒟0 is a solution of F(x) = 0. Let L = [y*, x*; F]. Then, using (C7) and the definition of σ0, we get in turn that
3. Semilocal Convergence Using Recurrent Functions
We present the semilocal convergence of secant-like methods. First, we need some auxiliary results on majorizing sequences for secant-like method.
Lemma 3. Let c ≥ 0, η > 0, H > 0, K > 0 and λ ≥ 1. Set t−1 = 0, t0 = c, and t1 = c + η. Define scalar sequences {qn}, {tn}, {αn} for each n = 0,1, … by
Proof. We will first show that polynomial p has roots in (0,1). Indeed, we have p(0) = −λK < 0 and p(1) = 2Hλ > 0. Using the intermediate value theorem, we deduce that there exists at least one root of p in (0,1). Moreover p′(t) > 0. Hence, p crosses the positive axis only once. Denote by α the only root of p in (0,1). It follows from (18) and (19) that estimate (25) is certainly satisfied if
Lemma 4. Let c ≥ 0, η > 0, H0 > 0, H1 > 0, H > 0, K > 0, and λ ≥ 1. Set s−1 = 0, s0 = c, and s1 = c + η. Define scalar sequences {sn}, {bn} for each n = 1,2, … by
Suppose that
Proof. We will show using induction that
Remark 5. (a) Let us consider an interesting choice for λ. Let λ = 1 (secant method). Then, using (21) and (22), we have that
The corresponding condition for the secant method is given by [2, 4, 9, 23] as follows:
Condition (52) can be weaker than (53) (see also the numerical examples at the end of the study). Moreover, the majorizing sequence {un} for the secant method related to (53) is given by
A simple inductive argument shows that if H < K, then for each n = 2,3, …:
(b) The majorizing sequence {vn} used in [5] is essentially given by
Then, again we have
Moreover, our sufficient convergence conditions can be weaker than [5].
(c) Clearly, iteration {sn} is tighter than {tn} and as we have in (57) than for H0 < K or H1 < H as follows:
Next, we present obvious and useful extensions of Lemmas 3 and 4, respectively.
Lemma 6. Let N = 0,1, 2, … be fixed. Suppose that
Lemma 7. Let N = 1,2, … be fixed. Suppose that
Next, we present the following semilocal convergence result for secant-like method under the (C) conditions.
Theorem 8. Suppose that the (C), Lemma 3 (or Lemma 6) conditions and
Proof. We use mathematical induction to prove that
Using (C7), Lemma 3, and the introduction hypotheses, we get that
Lemma 3 implies that {tk} is a complete sequence. It follows from (67) and (68) that {xk} is a complete sequence in a Banach space 𝒳 and as such it converges to some (since is a closed set). By letting k → +∞ in (75), we obtain F(x*) = 0. Furthermore, estimate (65) follows from (64) by using standard majorization techniques [1–4, 6–8]. To show the uniqueness part, let be such that F(y*) = 0. We have that
Remark 9. (a) The limit point t* can be replaced in Theorem 8 by t** which is given in closed form by (23).
(b) It follows from the proof of Theorem 8 that {sn} is also a majorizing sequence for {xn}. Hence, Lemma 4 (or Lemma 7), {sn}, s* can replace Lemma 3 (or Lemma 6) {tn}, t* in Theorem 8.
Hence, we arrive at the following.
Theorem 10. Suppose that the (C) conditions, Lemma 4 (or Lemma 7), and
We will denote by (C*) the conditions (C), (C8), and (C9). Then, we can present the corresponding result along the same lines as in Lemmas 3, 4, 6, and 7 and Theorems 8 and 10. However, we will only present the results corresponding to Lemma 4 and Theorem 10, respectively. The rest combination of results can be given in an analogous way.
Lemma 11. Let c ≥ 0, η > 0, H0 > 0, H1 > 0, H > 0, M0 > 0, M > 0, K > 0, and λ ≥ 1. Set γ−1 = 0, γ0 = c, and γ1 = c + η. Define scalar sequences {γn}, {δn} by
Proof. Simply use {γn}, {δn}, {hn}, φ, a instead of {sn}, {bn}, {gn}, p, α in the proof of Lemma 4.
Theorem 12. Suppose that the (C*), Lemma 11 conditions,
Proof. The proof until the uniqueness part follows as in Theorem 8 but using the following identity:
4. Numerical Examples
Example 1. Let 𝒳 = 𝒴 = 𝒞[0,1], equipped with the max-norm. Consider the following nonlinear boundary value problem:
Choosing R0 = 1, γ = 0.5, and c = 1, we obtain that
Moreover, we obtain that a−1 = 0.317477 and b−1 = 0.251336, but conditions of Theorem 1 are not satisfied since
Example 2. Let 𝒳 = 𝒴 = ℝ, and consider the real function
Conflict of Interests
The authors declare that there is no conflict of interests regarding the publication of this paper.