Abstract
In this work, we performed an study about the domain of existence and uniqueness for an efficient fifth order iterative method for solving nonlinear problems treated in their infinite dimensional form. The hypotheses for the operator and starting guess are weaker than in the previous studies. We assume omega continuity condition on second order Fréchet derivative. This fact it is motivated by showing different problems where the nonlinear operators that define the equation do not verify Lipschitz and Hölder condition; however, these operators verify the omega condition established. Then, the semilocal convergence balls are obtained and the R-order of convergence and error bounds can be obtained by following thee main theorem. Finally, we perform a numerical experience by solving a nonlinear Hammerstein integral equations in order to show the applicability of the theoretical results by obtaining the existence and uniqueness balls.
Keywords:
semilocal convergence; Lipschitz condition; Hölder condition; Hammerstein integral equation; dynamical systems MSC:
65G49; 47H99
1. Introduction
Let X and Y are Banach spaces where be a nonlinear function in an open convex domain . We use iterative methods in order to solve the nonlinear equation:
which characterizes various real life problems such as dynamical systems, boundary value problems described by ordinary differential equations, partial derivative equations and nonlinear integral equations with applications in different fields of engineering, finances, optimization costs and benefits, etc. A great variety of iterative schemes for solving these problems are obtained in [1,2,3]. It is well known that Newton’s method is the most widely used iterative scheme to solve (1), it is defined for , by
where and is the starting guess and it reaches convergence order two. Different modifications of Newton’s method have been published in order to increase the order of convergence and efficiency. We center in such publications in the literature involving complete studies in the sense of local and semilocal convergence, (see, [4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19]), where authors studied the convergence of iterative methods with high order of convergence under different continuity hypotheses.
In a recent paper, Singh et al. [20] presented the semilocal convergence of an efficient fifth order method under the Lipschitz condition on second derivative for non linear operator . The iterative scheme can be written for as
In real life applications, (see [21,22,23]), various numerical examples involving Hammerstein type integral equation [2] can be found which neither satisfy the Lipschitz nor the Hölder condition. This is the reason that motivated us to establish the semilocal convergence for the iterative method defined above in (3) under weaker conditions, which is also an efficient fifth-order method.
Consider nonlinear Hammerstein type integral equation
where functions f, and for are known, the solution x is to be determined and . In order to solve (4), we have to solve
If is - Hölder continuous in , then, under max-norm, we have
For different , neither satisfies Lipschitz nor Hölder condition but satisfies the weaker -condition.
In this work and in Section 2, we developed the semilocal convergence analysis of an iterative method of five order of convergence; this has been done under weaker conditions for solving nonlinear equations. Moreover, theoretical results about the existence and uniqueness for the solution have been established along with error bounds for the solution. In Section 3, we developed numerical examples and obtained the radius of existence and uniqueness for the solution, showing the applicability of our study. Finally, some conclusions are included in Section 4.
2. Semilocal Convergence Analysis
In this section, we give the hypothesis for the nonlinear operator G in the starting point, so we construct the convergence ball centered at this point, that is, the ball at which all the iterates belong and converge to the solution.
2.1. Preliminaries Results
Let , such as exists, being a bounded linear operator from Y to X for which the following conditions hold.
- (1)
- (2)
- (3)
- (4)
- for a non-decreasing continuous real function , , such that, for , and .
Let , and define sequences , and for , by
where,
and
Let . Moreover, and is an increasing function, therefore, has a real root verifying If , we get .
Lemma 1.
Let , and are given by (10), (11) and (13) respectively. If and , then
- (i)
- and are increasing functions verifying for .
- (ii)
- is an increasing function of u, for .
- (iii)
- and are decreasing sequences and as well as for
Proof.
The proof of and are trivial. The proof of can be given in the following manner. For , (7) gives . Using (8) and (9), we get and . Thus, holds for . Since, and are increasing functions, and therefore, by using mathematical induction Lemma 1 holds . □
Lemma 2.
Let and be defined by (10) and (13). If we have and .
Proof.
The proof is trivial. Since as is an increasing function. Therefore, Now,
□
Lemma 3.
Let , and . Then,
- (i)
- and .
- (ii)
- .
- (iii)
- .
Proof.
Using in (7) and (8), we get and
Thus, Lemma holds for . Assume that Lemma holds for . Using induction, we will prove for . Then, we have
In a similar manner, we get
Now, we consider
proceeding in this way, we get
Hence, holds by using mathematical induction. Now, consider
Thus, is proven. From (9), we get
Thus, is proven. □
2.2. Main Results
In this section, we establish the recurrence relations for (3) under the assumption considered in the previous section. Consider
if , then
and by substituting in (3), we get
By using Taylor expansion of about , we get
Then, by using (21) in (20) and taking norm, we get
Now,
and by substituting in (3) and taking norm, we get
Therefore,
So, we have
therefore, by Banach Lemma, we get
Moreover,
Using Taylor expansion of about , we get
Therefore,
Using (27), we get
and
The following recurrence relations are established for using mathematical induction.
- (I)
- (II)
- (III)
- (IV)
- (V)
Hence, the recurrence relations (I)–(IV) for follow from (25), (27), (28) and (29) respectively. The recurrence relation (V) is proved for in (24). Using mathematical induction, these recurrence relations hold
2.3. Convergence Theorem
Theorem 1.
Let , and assumptions (1)–(4) hold. Then for , where , the sequence generated by (3) converges to the solution of (1). Moreover, and is the unique solution in Then the error bound for iterative scheme verifies:
Proof.
To prove the convergence theorem, we prove that is a Cauchy sequence. Using (V), we get
Now, we consider
by using Lemma 3 (iii), we get
Hence, is a Cauchy sequence which converges to as . Taking in (32), we get
Taking in (33), we get
Hence, Now,
and
Using (22), we get
Hence,
To show the uniqueness of , let be such that , . Then , where, . Now,
Therefore, . Thus, exists by Banach Lemma and hence . □
3. Numerical Experience
In this section, different numerical examples are solved in order to corroborate the theoretical results obtained and the efficiency of our approach.
Example 1.
Consider nonlinear integral equation
where , .
Clearly,
where and . Therefore, neither the Lipschitz nor the Hölder condition hold but the -condition holds. Taking , all the assumptions are satisfied. Therefore, the existence and uniqueness balls for integral equation are given by and , respectively. The values of the sequences , and are given in Table 1.
Table 1.
The values of , and .
The error bounds for are presented in Table 2.
Table 2.
Error bounds.
Example 2.
Consider nonlinear integral equation
where, , and .
Clearly,
Here Clearly, Lipschitz condition fails for but Hölder condition holds. Taking , , , and , all the assumptions are satisfied. Therefore the existence and uniqueness balls for integral equation is given by and respectively. The values of , and are given in Table 3.
Table 3.
The values of , and .
The error bounds for are presented in Table 4.
Table 4.
Error bounds.
4. Conclusions
In this study, we present the semilocal convergence for an iterative scheme that reach order of convergence five. We obtained the theoretical results by constructing the recurrence relations that describe this algorithm that is proven to have a very efficient behavior. The hypotheses we set are under weaker conditions than the used in previous studies and allow us to obtain competitive error bounds. Finally, applied problems are solved involving nonlinear integral equations and big size nonlinear systems. The convergence balls defining the existence domain were obtained for the considered examples.
Author Contributions
Conceptualization and methodology, S.S. and E.M.; software and validation, D.K.G. and A.K.; Formal analysis E.M.; investigation, D.K.G; writing—original draft preparation, S.S.; writing—review and editing, S.S. and A.K.; supervision, E.M. and D.K.G. All authors have read and agreed to the published version of the manuscript.
Funding
This research was partially supported by Ministerio de Economía y Competitividad under grant PGC2018-095896-B-C22.
Conflicts of Interest
The authors declare no conflict of interest.
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