Observations concerning some approximation methods for the solutions of operator equations

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Ion Păvăloiu
(Tiberiu Popoviciu Institute of Numerical Analysis)

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I. Păvăloiu, Observations concerning some approximation methods for the solutions of operator equations, Rev. Anal. Numér. Théor. Approx., 23 (1994) no. 2, pp. 185-195.

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References

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[2] Argyros, K.I, The Secant Method and Fixed Points of Nonlinear Operrators, Mh. Math., 106 (1988) pp. 85-94.

[3] Denis, J. E., Toward a Unified Convergence Theory for Newtonlike Methods, Nonlinear Functional Analysis and Applications. (Ed. by L. B. Rall). John Wiley, New York (1986).

[4] Lazăr, I., On Newton’s Method for Solving Operator Equations with Hölder Continuous Derivative. Revue d’analyse Numérique et de Théorie de l’Approximation. Tome 23. Nr.2 (1993).

[5] Ortega, J. M. and Rheinboldt, W., Iterative Solution of Nonlinear Equations in Several Variables. Academic Press, New York and London, 1970.

[6] Păvăloiu, I., Remarks on the secant method for the solution of nonlinear operational equations. Research Seminars, Seminar on Mathematical analysis. Preprint nr.7 (1991) pp.127-132.

[7] Păvăloiu, I., On the Convergence of a Steffensen-Type Method., Research Seminars. Seminar of Mathematical Analysis. Preprint nr.7 (1991), pp.121-126.

[8] Păvăloiu, I., Introduction in the theory of approximation of equations solutions. Dacia Ed., Cluj-Napoca, (1976) (in Romanian).

[9] Păvăloiu, I., Sur une généralisation de la méthode de Steffensen, Revue d’analyse numérique et de théorie de l’approximation. Tome 21, Nr.1, (1992), pp.59-65.

[10] Schmidt, J. W. Konvergenzgesch windigkert der Regula falsi und der Steffensen Verfahrens in Banachraum. Z.A.M.M. 46, 2, (1996) pp. 146-148.

[11] U’lm, S., Ob. obobschennyh razdelennih raznostiakh I., Izv. Acad. Nauk Estonskoi SSR, 16 (1967), 13-36.

[12] U’lm, S., Ob. obobschennyh razdelennih raznostiakh II., Izv. Acad. Nauk Estonskoi SSR, 16 (1967), 146-155.

[13] U’lm, S., Ob. obobschenie metoda Steffensena dlea reshenia nelineingh-operatornih urovnenii. Jurnal vicisl. mat. i mat.-fiz. 4, 6, (1969

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Observations Concerning Some Approximation Methods for the Solutions of Operator Equations

Observations Concerning Some Approximation Methods for the Solutions of Operator Equations

Ion Păvăloiu
(Cluj-Napoca)

1. Introduction

The purpose of this paper is to give some completions to some results, recently appeared in the literature, concerning the convergence and the error bounds of some methods for solving operatorial equations, when the Fréchet derivatives or the divided differences of the operators are Hölder continuous.

Let f:X→Y be an application, where X and Y are Banach spaces. We shall define the divided difference of a certain order in the following way: let ui∈X⁢i=1,n+1, where ui≠uj for i≠j.

Definition 1.1.

[8]. The divided difference of the first order of the application f at uk,us∈X is an application [uk,us;f]∈ℒ⁢(X,Y) which verifies:

  • a)

    [uk,us;f]⁢(us−uk)=f⁢(us)−f⁢(uk)

  • b)

    if f is Fréchet differentiable, at us, then

    [us,us;f]=f′⁢(us).

We suppose that there have been defined the applications

[uk,uk+1,…,uk+m−1;f]∈ℒ⁢(Xm−1,Y)⁢and
[uk+1,uk+2,…,uk+m;f]∈ℒ⁢(Xm−1,Y),

called the divided differences of the order m−1, where k+m≤n.

Definition 1.2.

[8]. The divided difference of the order m of the application f in uk,uk+1,…,uk+m∈X, is an application

[uk,uk+1,…⁢uk+m;f]∈ℒ⁢(Xm,Y)

which verifies:

(a’) [uk,uk+1,…,uk+m;f]⁢(uk+m−uk)= [uk+1,uk+2,…,uk+m;f]
−[uk,uk+1,…,uk+m−1;f]
  • b’)

    if f is m time Fréchet differentiable at uk, then

    [uk,uk,…,uk;f]=1m!⁢f(m)⁢(uk).

2. Considerations on the Secant Method

For the approximation of the solution of the operator equation

(1) f⁢(x)=0

consider the iteration

(2) xn+1 =xn−[xn−1,xn;f]−1⁢f⁢(xn),n=1,2,…,x0,x1∈X,

It is known that if f satisfies certain conditions, then the sequence (xn)n≥0 given by (2) is well defined (there exists [xn−1,xn;f]−1 for n=1,2,…) and converges to a solution x∗ of equation (1) (see for example [2], [5], [8], [10].

In the following we shall give some specifications concerning the results obtained in [2]. Then we shall try to obtain conditions that ensure the convergence of the sequence (xn)n≥0 to a solution of (1), and, moreover, we shall determine a subset E⊂X that contains this solution.

In paper [2], where the results obtained in [3] are generalized, the convergence of process (2) is studied under the assumptions that f is Fréchet differentiable on a set D⊂X and the Fréchet derivative f′⁢(⋅) satisfies a Hölder type condition on D: there exist c∈ℝ, c>0 and p∈(0,1] such that:

(3) ‖f′⁢(x)−f′⁢(y)‖≤c⁢‖x−y‖p,for every ⁢x,y∈D.

Let HD⁢(c,p) denote the set of all applications f′ for which (3) holds.

In [2], in addition to the conditions from Definition 1.1, it is assumed that the divided differences of the first order of f satisfy a Hölder type condition, namely there exist l1,l2,⁢l3≥0,p=(0,1) such that for every x,y,z∈D, the inequality:

(4) ‖[x,y;f]−[y,z;f]‖≤l1⁢‖x−z‖p+l2⁢‖x−y‖p+l3⁢‖y−z‖p

holds.

This condition is useful when divided differences of the second order of f are unbounded on D.

Let l2′=max⁡{l2,l3}. If x∗ is a simple zero of equation (1), then the application f′⁢(x∗)∈ℒ⁢(X,Y) has a bounded inverse.

From (4) and from the existence and boundness of [f′⁢(x∗)]−1 there exists ε>0 such that [x,y;f] has a bounded inverse for every x,y∈U¯⁢(x∗,ε), where U¯⁢(x∗,ε)={x∈X|‖x−x∗‖≤ε}, namely the application B⁢(x,y)=[x,y;f]−1 is uniformly bounded on U¯⁢(x∗,ε).

In [2] the following theorem was proved:

Theorem 2.1.

Let D⊂X be an open set and f:X→Y. If:

  • i)

    x∗∈D is a simple solution of equation (1).

  • ii)

    there exists ε>0 and b>0 such that:

    ‖[x,y;f]−1‖≤b,for every ⁢x,y∈U¯⁢(x∗,ε);
  • iii)

    there exists a convex set D0 and a real number ε1, 0<ε1<ε, such that:

    f′⁢(⋅)∈Hr0⁢(c,p),for every ⁢x∈D0⁢and ⁢U⁢(x∗,ε1)⊂D0;
  • iv)

    x0,x1∈U¯⁢(x∗,r), where 0<r<min⁡{ε1,[q⁢(p)]−1p}

    and

    (5) q⁢(p)=b1−p⁢[2p⁢(l1+l2′)⁢(1+p)+c],

then the sequence given by (2) is well defined, and its elements belong to U¯⁢(x∗,r). The sequence converges to the unique solution x∗ of (1). Moreover, the following estimation holds

(6) ‖xn+1−x∗‖≤γ1⁢‖xn−1−x∗‖p⋅‖xn−x∗‖+γ2⁢‖xn−x∗‖1+p

for n large enough where γ1 and γ2 are given by

(7) γ1=b⁢(l1+l2′)⁢2p
(8) γ2=b⁢c1+p

The proof is based on the following two lemmas [2]

Lemma 2.1.

Let f:X→Y and D⊂X be an open set. If f is Fréchet differentiable on D and there exists a convex set D0⊂D such that f′⁢(⋅)∈HD0⁢(c,p), then for any x,y∈D0 the following inequality holds:

(9) ‖f⁢(x)−f⁢(y)−f′⁢(x)⁢(x−y)‖≤c1+p⁢‖x−y‖p+1.
Lemma 2.2.

If there exists divided differences [x,y;f] and inequality (4) is verified for all x,y,z∈D0, then the equality b) from Definition 1.1 holds for every x∈D0 and the derivative f′ of f verifies the relation f′⁢(⋅)∈HD0⁢[2⁢(l1+l2),p].

In the proof of Theorem 2.1 the following inequality is obtained first

(10) ‖xn+1−x∗‖≤[M⁢(r)]n+1⁢‖x0−x∗‖,where ⁢0<M⁢(r)<1.

from which it follows that the sequence (xn)n≥0 is convergent. In the following, by use of inequality (6) obtained in [2], we shall prove that the order of convergence of the sequence given by (2) is t1=1+(1+4⁢p)1/22, i.e. it is the positive root of the equation:

(11) t2−t−p=0.

For this, besides the hypothesis of Theorem 2.1 we shall suppose that x0 and x1 verify

  • a’)

    ‖x∗−x0‖≤α⁢d0;

  • b’)

    ‖x∗−x1‖≤min⁡{α⁢d0t1,‖x∗−x0‖},

    where 0<d0<1 and α=[q⁢(p)]−1p.

Using Lemmas 2.1 and 2.2 and hypotheses of Theorem 2.1, from (2) we obtain

(12) ‖x2−x∗‖≤γ1⁢‖x0−x∗‖p⁢‖x1−x∗‖+γ2⁢‖x1−x∗‖p+1

from which, taking into account a’), b’) it follows

‖x2−x∗‖≤α⁢d0t12⁢(γ1+γ2⁢d0p⁢(t1−1))⁢αp,

where

(γ1+γ2⁢d0p⁢(t1−1))⁢αp=γ1+γ2⁢d0p⁢(t1−1)γ1+γ2<1

that is,

(13) ‖x2−x∗‖≤d0t12

Relations (12) and (13) imply ‖x2−x∗‖<‖x1−x∗‖.

Suppose that there exists n∈N,n≥2, such that

(a”) ‖xn−1−x∗‖ ≤α⁢d0t1n−1
(b”) ‖xn−x∗‖ ≤min⁡{α⁢d0t1n,‖xn−1−x∗‖}.

If we repeat the above reasoning and take into account (a”) and (b”) we obtain

‖xn+1−x∗‖≤α1+p⋅d0t1n+1⁢(γ1+γ2⁢d0pt1n⁢(t1−1))≤α⁢d0t1n+1,

because

αp⁢(γ1+γ2⁢d0pt1n⁢(t1−1))<1.

Moreover, it can be easily seen that

‖xn+1−x∗‖<‖xn−x∗‖.

So far, we have proved the following theorem.

Theorem 2.2.

Under the hypotheses of Theorem 2.1 and if x0 and x1 verify a’) and b’), where α=(q⁢(p))−1p and 0<d0<1, then for every n∈ℕ, xn∈U⁢(x∗,α) and

(2.13’) ‖xn+1−x∗‖≤d0t1n+1,n=0,1,…

One must notice that inequality (2.13’) gives a sharper error bound than (10).

In the following we shall establish a result which ensures not only the convergence of the sequences (xn)n≥0 but also the existence of the solution of equation (1) in a determined subset of X.

In this respect, we observe that if [xn−1,xn;f]−1 exists for every n=1,2,… then:

(14) xn−[xn−1,xn;f]−1⁢f⁢(xn)=xn−1−[xn−1,xn;f]−1⁢f⁢(xn−1)

and

(15) f⁢(xn+1)= f⁢(xn)+[xn−1,xn;f]⁢(xn+1−xn)+
+([xn,xn+1;f]−[xn−1,xn;f])⁢(xn+1−xn),n=1,2,…

hold.

Let α,B,d0∈ℝ, α>0,B>0,d0∈(0,1) and

S={x∈X:‖x−x0‖≤B⁢α⁢d01−d0t1−1},

where t1 is the positive root of equation (11).

Theorem 2.3.

If the divided differences of the first order of the applicaiton f verify condition (4) for every x,y,z∈S and

  • i)

    for every x,y∈S,[x,y;f]−1 exists and ‖[x,y,f]−1‖≤B

  • ii)

    the initial data x0,x1∈X and f verify the inequalities

    (16) ‖x1−x0‖ <B⁢α⁢d0,‖f⁢(x0)‖≤α⁢d0 and⁢‖f⁢(x1)‖≤α⁢d0t1

    where

    (17) α=1B1+pp⁢(l1+l2+l3)1p

    the equation (1) has at least one solution x∗∈S which is the limit of the sequence (xn)n≥0 given by (2) the order of the convergence of this sequence and the error bound are given by

    (18) ‖x∗−xn‖≤B⁢α⁢d0t1n1−d0t1n⁢(t1−1),n=1,2,…
Proof.

From (2), for n=2 we have

‖x2−x1‖≤B⁢‖f⁢(x1)‖≤B⁢α⁢d0t1

This inequality, together with the first inequality from (16), implies.

‖x2−x0‖ ≤‖x2−x1‖+‖x1−x0‖≤B⁢α⁢d0⁢(1+d0t1−1)≤B⁢α⁢d01−d0t1−1,

and so x2∈S.

Because x2∈S, from (14), (15) and using (4) we obtain:

(19) ‖f⁢(x2)‖≤Bp+1⁢αp+1⁢(l1+l2+l3⁢d0t12−p)⁢d0t12−p≤α⁢d0t12,

since

αpBp+1(l1+l2+l3d0p⁢(t1−1))≤αpBp+1(l1+2+l3)≤1.

Suppose

(20) xi ∈S;
(21) ‖f⁢(xi)‖ ≤α⁢d0t1i,hold for ⁢i=1,k.¯

Then

‖xn+1−xk‖ ≤B⁢α⁢d0⁢(1+d0t1−1+d0t12−1+…+d0t1k−1)
≤B⁢α⁢d0⁢(1+d0(t1−1)+d02⁢(t1−1)+…+d0k⁢(t1−1))≤B⁢α⁢d01−d0t1−1,

that is, xk+1∈S.

By the use of the same reasoning as for (19) we obtain

(22) ‖f⁢(xk+1)‖≤Bp+1⁢αp+1⁢(l1+l2+l3p⁢t1k−1⁢(t1−1))⁢d0t1k−1⁢(t1+p)≤α0⁢d0t1k+1.

The above relations imply that (20) and (21) hold for every k∈ℕ.

Now notice that (xn)n≥0 is a Cauchy sequence, because

(23) ‖xn+s−xn‖≤∑k=nn+s−1‖xk+1−xk‖≤B⁢α⁢∑k=nn+s−1d0t1k≤B⁢α⁢d0t1n1−d0t1n⁢(t1−1),

for any n,s∈ℕ, t1>1 and d0∈(0,1).

Let x∗=limn→∞xn. Then, taking s→∞ in (23) we obtain

(24) ‖x∗−xn‖≤B⁢α⁢d0t1n1−d0t1n⁢(t1−1),

n=0,1,…, that is, the inequality (18).

For n=0 we obtain x∗∈S.

If k→∞ in (22) then ‖f⁢(x∗)‖=0, that is x∗, is the solution of equation (1). ∎

3. Considerations on Steffensen Method

It is well known that the order of convergence of the secant method can be improved if the elements xn−1 and xn form (2) are related by an application g:X→X, described in the following.

Consider the sequence (xn)⁢n≥0 generated by

(25) xn+1−xn−[xn,g⁢(xn);f]−1⁢f⁢(xn),x0∈X,

where g is an operator whose fixed points coincide with solutions of equations (1).

Consider x0∈X, the nonnegative real numbers B,ε0,ρ0,α, β and q≥1, where

(26) ρ0=B⁢α⁢(l1⁢Bp+l2⁢βp+l3⁢Bp⋅αp)⁢‖f⁢(x0)‖p⁢(q−1)
(27) ε0=ρ0⁢1(p+q−1)⁢‖f⁢(x0)‖,

the numbers l1,l2,l3 being given by condition (4).

(28) S={x∈X:‖x−x0‖≤r⁢ε0ρ01p+q−1⁢(1−ε0p+q−1)},

where r=max⁡{B,β}

Concerning the convergence of method (25), the following theorem holds:

Theorem 3.1.

If the real numbers B,ε0,ρ0,p0,p,α,β,q,l1,l2,l3 the applications f and g, and the element x0 satisfy the conditions:

  • (i)

    for every x,y∈S there exist [x,y;f]−1 and ‖[x,y;f]−1‖≤B;

  • (ii)

    for every x∈S,‖f⁢(g⁢(x))‖≤α⁢‖f⁢(x)‖q;

  • (iii)

    for every x∈S, ‖x−g⁢(x)‖≤β⁢‖f⁢(x)‖;

  • (iv)

    the divided differences of the first order of the applications f verify condition (4) for every x,y,z∈S;

  • (v)

    ε0<1,

then the sequence (xn),n≥0 given by (25) is convergent and if x∗=limxn, then f⁢(x∗)=0. Moreover, we have

(29) ‖x∗−xn‖⁢r⁢ε0(p+q)nρ01p+q−1⁢(1−ε0p+q−1).
Proof.

Let x0∈X be such that ε0 verifies condition (v). Using similar relations to (14) and (15) and condition (4), we obtain from (25)

‖x1−x0‖≤B⋅‖f⁢(x0)‖≤B⁢ρ01p+q−1ρ01p+q−1⁢‖f⁢(x0)‖≤r⁢ε0ρ01p+q−1⁢(1−ε0p+q−1),

which means that x1∈S.

In the above inequality we have admitted the relation g⁢(x0)∈S, which is implied by (i⁢i⁢i).

From (14), (15), (25), (i), (i⁢i) and (i⁢i⁢i) we obtain:

‖f⁢(x1)‖ ≤‖[g⁢(x0),x1;f]−[x0,g⁢(x0);f]‖⁢‖x1−g⁢(x0)‖
≤B⁢α⁢(l1⁢Bp+l2⁢βp+l3⁢Bp⁢αp⁢‖f⁢(x0)‖p⁢(q−1))⁢‖f⁢(x0)‖p+q
=ρ0⁢‖f⁢(x0)‖p+q.

From the above inequality there follows

ρ01p+q−1⁢‖f⁢(x1)‖≤(ρ01p+q−1⁢‖f⁢(x0)‖)p+q

and if ε1=ρ01p+q−1⁢‖f⁢(x1)‖ then,

ε1≤ε0p+q.

It can be easily seen that ‖f⁢(x1)‖≤‖f⁢(x0)‖ and ρ1≤ρ0, where ρ1=B⁢α⁢[l1⁢Bp+l2⁢βp+l3⁢Bp⁢αp⁢‖f⁢(x1)‖p⁢(q−1)]. Suppose now that, for s=1,k,¯ the following relations hold xs∈S,‖f⁢(xs)‖≤‖f⁢(xs−1)‖, εs<ε0(p+q)s, where εs=ρ1p+q−1⁢‖f⁢(xs)‖.

Using these assumptions and proceeding as above we get

(30) ‖xk+1−xk‖≤B⁢‖f⁢(xk)‖≤r⁢ε0(p+q)kρ01p+q−1
(31) ‖xn+1−x0‖≤r⁢ε0ρ01p+q−1⁢(1−ε0p+q−1),

showing that xk+1∈S.

It is also easy to see that

(32) ‖g⁢(xk)−xk‖≤r⁢ε0(p+q)kρ01p+q−1

whence

(33) ‖g⁢(xk)−x0‖≤r⁢ε0ρ01p+q−1⁢(1−ε0p+q−1),

that is, g⁢(xk)∈S.

We obtain further

(34) ‖f⁢(xk+1)‖≤ρ0⁢‖f⁢(xk)‖p+q,

whence

(35) εk+1≤ε0(p+q)k+1,when ⁢εk+1=ρ01p+q−1⁢‖f⁢(xk+1)‖.

From (30) it follows that, for every s,n∈ℕ,

(36) ‖xn+s−xn‖≤B⁢ε0(p+q)nρ01p+q−1⁢(1−ε0p+q−1)

and by (v) the sequence (xn)n≥0 is fundamental, hence convergent. If x∗=limn→∞xn, from (36), for s→∞, we get (29) and from (35) it follows that x∗ is a solution of (1).

From (29), for n=0 we have that x∗∈S. ∎

4. Considerations Concerning Newton’s Method

Consider the sequence given by Newton’s method,

(37) xn+1=xn−[f′⁢(xn)]−1⁢f⁢(xn),n=0,1,…,x0∈X

let S⁢(x0,r)={x∈X|‖x−x0‖≤r}, where r∈ℝ, r>0.

Concerning the convergence of this sequence we have the following theorem.

Theorem 4.1.

If the application f is Fréchet differentiable on S⁢(x0,r), the Fréchet derivative f′ satisfies (3) for every x,y∈S⁢(x0,r) and the following conditions hold:

  • (i)

    [f′⁢(x0)]−1 exists and ‖[f′⁢(x0)]−1‖≤d;

  • (ii)

    c⁢rp⁢d<1;

  • (iii)

    ρ0=α1p⁢‖f⁢(x0)‖<1, where α=c⁢β1+p1+p and β=d1−c⁢d⁢rp,

  • (iv)
    β⁢‖f⁢(x0)‖1−α⁢‖f⁢(x0)‖p≤r,

then,

  • (j)

    xn∈S⁢(x0,r),f⁢o⁢r every n∈ℕ,

  • (jj)

    there exists Γn=[f′⁢(xn)]−1 for every n∈ℕ and ‖Γn‖<d1−d⁢c⁢rp,

  • (jjj)

    ‖xn+1−xn‖≤β⁢α−1p⁢ρ0(1+p)n;

  • (jv)

    the sequence (xn)n≥0 is convergent, and if x∗=limn→∞xn then f⁢(x∗)=0 and

    (38) ‖x∗−xn‖≤β⁢α−1p⁢ρ0(1+p)n1−ρ0(1+p)n,n∈ℕ.
Proof.

By (37), for n=1 we get x1=x0−[f′⁢(x0)]−1⁢f⁢(x0), and from (i) ‖x1−x0‖≤d⁢‖f⁢(x0)‖≤β⁢‖f⁢(x0)‖≤r, that is, x1∈S⁢(x0,r).

By (3) and ii) it follows

‖[f′⁢(x0)]−1⁢[f′⁢(x0)−f′⁢(x1)]‖≤d⁢c⁢‖x1−x0‖p≤d⁢c⁢rp<1,

whence [f′⁢(x1)]−1 exists and

‖[f′⁢(x1)]−1‖≤d1−d⁢c⁢rp=β.

From (3) it follows

‖f⁢(x1)‖ =‖f⁢(x1)−f⁢(x0)−f′⁢(x0)⁢(x1−x0)‖
≤cp+1⁢‖x1−x0‖p+1≤c⁢βp+1p+1⁢‖f⁢(x0)‖p+1

and if

ρ1=α1p⁢‖f⁢(x1)‖

then

ρ1≤ρ01+p,‖x2−x1‖≤β⁢α−1p⁢ρ01+p.

If ρi=α1p⁢‖f⁢(xi)‖ and

(a) xi ∈S⁢(x0,r),i=1,k¯,
(b) ‖xi+1−xi‖ ≤β⁢α−1p⁢ρ0(1+p)i,i=1,k−1¯,
(c) ρi ≤ρ0(1+p)i,i=1,k,¯

then we get by (a), (3) and (i)

‖[f′⁢(x0)]−1⁢[f′⁢(xk)−f′⁢(x0)]‖≤d⁢c⁢‖xk−x0‖p≤c⁢d⁢rp<1.

It follows that

‖[f′⁢(xk)]−1‖≤d1−d⁢c⁢rp=β.

From (37) and from the above inequality we get that:

‖xk+1−xk‖≤β⁢‖f⁢(xk)‖≤β⁢α−1p⁢ρk≤β⁢α−1p⁢ρ0(1+p)k,

which by (b) implies

‖xk+1−x0‖≤β⁢‖f⁢(x0)‖1−α⁢‖f⁢(x0)‖p≤r,

that is, xk+1∈S⁢(x0,r).

Using the assumptions of the theorem we get that

‖f⁢(xk+1)‖ =‖f⁢(xk+1)−f⁢(xk)−f′⁢(xk)⁢(xk+1−xk)‖
≤cp+1⁢‖xk+1−xk‖p+1≤α−1p⁢ρkp+1,

whence

ρk+1≤ρ0(1+p)k+1.

For every m,n∈ℕ

‖xm+n−xn‖≤β⁢α−1p⁢ρ0(1+p)n1−ρ0p⁢(1+p)n

which, together with ρ0<1, show that (xn)n≥0 is a Cauchy sequence. If x∗=limn→∞xn then for m→∞ in the above inequality, we get (38), and from

‖f⁢(xn)‖≤α−1p⁢ρ0(1+p)n,

for n→∞, we get f⁢(x∗)=0. ∎

References

  • [1] Argyros, K.I., Concerning the convergence of Newton’s method, The Renjab University Journal of Mathematics, Vol. XXI (1988), pp.1–11.
  • [2] Argyros, K.I, The secant method and fixed points of nonlinear operrators, Mh. Math., 106 (1988) pp. 85–94.
  • [3] Dennis, J. E., Toward a unified convergence theory for Newton like methods, Nonlinear Functional Analysis and Applications. (Ed. by L.B. Rall). John Wiley, New York (1986).
  • [4] Lazăr, I., ††margin: available soon,
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    On Newton’s method for solving operator equations with Hölder continuous derivative. Rev. Anal. Numér. Théor. Approx., v. 23. no. 2 (1993), pp. 177–187.
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    Introduction in the theory of approximation of equations solutions. Dacia Ed., Cluj-Napoca, (1976) (in Romanian).
  • [9] ††margin: clickable → Păvăloiu, I., Sur une généralisation de la méthode de Steffensen, Rev. Anal. Numér. Théor. Approx. v. 21, no. 1, (1992), pp.59–65.
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  • [13] U’lm, S., Ob. obobschenie metoda Steffensena dlea reshenia nelineingh-operatornih urovnenii. Jurnal vicisl. mat. i mat.-fiz. 4, 6, (1969).

Received 15 X 1993

Institutul de Calcul

Str. Republicii 37

P.O. Box 68

3400 Cluj-Napoca

România

1994

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