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Research Article
Revised

Fixed-point Acceleration Algorithm of Total Asymptotically Nonexpansive Mappings

[version 3; peer review: 1 approved with reservations, 1 not approved]
PUBLISHED 18 Apr 2026
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This article is included in the Fallujah Multidisciplinary Science and Innovation gateway.

Abstract

Fixed-point iterative methods play a fundamental role in nonlinear functional analysis and its applications. In this paper, we consider a real uniformly convex Banach space and introduce a modified accelerated four-step iterative scheme for approximating fixed-point of a class of total asymptotically nonexpansive TAN-mappings. The proposed approach is formulated within a general TAN framework and does not require compactness assumptions at the level of weak convergence. Weak convergence of the algorithm is established under Opial’s condition, whereas strong convergence is obtained by additionally assuming semi-compactness of the underlying mapping. Moreover, a rigorous comparative convergence analysis is provided to examine the rate of convergence of the proposed scheme relative to the HR-type iterative process. The theoretical results are supported by numerical experiments illustrating the convergence dynamics of both methods. Finally, the applicability of the framework is demonstrated by applying it to a nonlinear two-dimensional Volterra integral equation.

Keywords

Banach Spaces, Iterative Schemes, Total Asymptotically Non-Expansive Mappings, Fixed Points, Strong Convergence, Weak Convergence, Stability.

Revised Amendments from Version 2

Dear Professors and Colleagues,
Thank you very much for your efforts in supporting research activities.
I am uploading a carefully revised version, and I hope it meets your approval.
I would like to clarify the following:
- The texts have been written in standard format.
- The stability theorem has been revised.
- The reason for presenting 2D-Volterra integral equations as an application is:
They provide powerful mathematical models for systems with two variables, serving as an important theoretical framework in functional analysis, PDEs, and fixed-point theory. Additionally, this type of equation has been rarely used in research papers on approximate fixed points.
Regards

See the authors' detailed response to the review by Tanakit Thianwan

Introduction

Fixed point theory in Banach spaces has developed through successive generalizations of contractive-type mappings. Early foundational contributions by Browder (1965) and Kirk (1965) in,1,2 initiated the systematic study of nonexpansive mappings and established fundamental fixed-point results in uniformly convex Banach spaces. This line of research was later extended by Goebel and Kirk (1972) in,3 who introduced the asymptotically nonexpansive mappings, thereby broadening the scope of fixed-point analysis to operators whose iterates exhibit asymptotic nonexpansiveness. Building upon these developments, Alber, Chidume, and Zegeye (2005) in4 a introduced the class of totally asymptotically nonexpansive TAN-mappings. Let X be a Banach space and let Ψ:XX . The mapping Ψ is said to be totally asymptotically nonexpansive if there exist nonnegative real sequences μv and {κv} satisfying μv0,κv0asv , together with a strictly increasing continuous function :++ with (0)=0 such that for all x,yX .

ΨvxΨvyxy+μv(xy)+κvholds forallv1

This framework unifies nonexpansive and asymptotically nonexpansive mappings as particular cases and provides a flexible framework for analyzing convergence behavior of iterative schemes in Banach spaces. Since their introduction, TAN-mapping has been extensively investigated through various iterative procedures. Classical schemes such as Mann, Ishikawa and Halpern iterations laid the foundation for subsequent developments.10 More recently, increasing attention has been devoted to accelerated and hybrid techniques. For instance, Abed and Abed (2022) in5 analyzed a Fibonacci–Halpern iteration for monotone TAN-mappings in partially ordered Banach spaces, establishing stability and improved convergence properties. Salman and Abed (2023)24 proposed a five-step iterative process for (λ,ρ)-firmly nonexpansive multivalued mappings in modular spaces. Further developments were reported by Khomphungson and Nammanee (2024),6 who analyzed modified Mann–Ishikawa algorithms, and proved strong convergence under Condition (A) in uniformly convex Banach spaces. Similarly, Balooee and Al-Homidan (2024) in4,7 introduced hybrid resolvent-based methods for fixed-point problems involving TAN-mappings and generalized variational-like inclusions, ensuring the existence of a common solution belonging simultaneously to the solution set of the inclusion problems and to the fixed-point set of a TAN-mapping. These formulations are closely related to integral and differential equations, which frequently arise as operator inclusions problems a Banach spaces. Additional generalizations have been proposed in recent contributions. Galisu et al. (2024)8 introduced enriched asymptotically nonexpansive mappings with center zero in a reflexive and strictly convex Banach space, providing a broader framework that includes TAN-mappings as a subclass. More recently, Sun (2025)9 extended the analysis to random asymptotically nonexpansive mappings in uniformly convex modules, emphasizing stochastic generalization within Banach-type structures. Collectively, these studies demonstrate the progressive fixed-point theory from classical nonexpansive mappings,1,2 to asymptotically nonexpansive mappings,3 and ultimately to the general class of TAN-mappings.4 A wide spectrum of iterative schemes, including Mann, Ishikawa, Halpern, Fibonacci-Halpern, modified Mann-Ishikawa, and hybrid resolvent-based algorithms, has played a central role in establishing convergence, stability, and applications to variational inclusions and integral-differential models in.5,6

Motivated by the growing interest in accelerated iterative framework, the main objective of the present work is to investigate the convergence and stability properties of an inertial accelerated four-step iterative scheme for TAN-mappings in Banach spaces. Inspired by the inertial accelerated technique proposed by Harbau et al. (2022),10 we establish weak convergence under Opial’s condition and strong convergence under an additional semi-compactness assumption. Furthermore, stability under perturbations is analyzed. A comparative numerical study with existing iterative methods is conducted to illustrate the performance of the proposed scheme. Finally, the theoretical results are applied to a nonlinear two-dimensional Volterra integral equations, demonstrating the practical relevance and the applicability of the developed framework.

Preliminaries

This section presents the fundamental definitions and auxiliary results that will be used in establishing the main convergence theorems.

Definition 1.

11 A Banach space X is said to be uniformly convex if for any ϵ(0,2), there exists a δ(ϵ)>0 such that for any p,qX with p1,q1 , and pqϵ , then, p+q21δ(ϵ) .

Remark 1.

10 Every Hilbert space is uniformly convex and therefore satisfies Definition (1)

Symbols

  • i) X denotes the real Banach Space.

  • ii) X denotes the dual of X .

  • iii) ⇀ for weak convergence and, ⟶ for strong convergence.

  • iv) The set of ω - weak cluster point of a sequence {qv} is denoted by ωc(qv)={z:qvkz} .

  • v) Fix(Ψ){p in X:Ψ(p)=p} denotes the set of fixed points of Ψ .

  • vi) The duality pairing on X×X denoted by .,. .

Definition 2.

10 A mapping Jφ:X2X defined by Jφ(p)={pX:p,p=pp,p=φ(p)} is called a generalized duality mapping, where φ is a gauge function.

If φ(t)=t for all t0 then Jφ=J2 is a normalized duality mapping and can be written as J(p)={pX:p,p=p2,p=p} .

Definition 3.

12 The duality mapping Ψ is said to be weakly sequentially continuous if, for any sequences {qv} in X such that qvz , implies (qv)Ψ(z) .

It is known that space has a weakly sequentially continuous duality map if J φ is single-valued and sequentially continuous from with the weak topology to with the weaktopology.23

Definition 4.

13 A mapping Ψ: Ψ:CXC said to be.

  • (1) Demi-closed at y0C , if for any sequence {qv} in C such that qvzC and Ψqvy0 , it holds that Ψq0=y0 .

  • (2) Semi-compact if for any bounded sequence {qv} in C such that limvqvΨqv=0 there exists a subsequence {qvk}{qv} such that qvkzC.

Suppose a fixed-point iteration is defined by the general form

qv+1=f(Ψ,qv)forv=0,1,2,,
where Ψ is a mapping and q0X . The function f(Ψ,qv) contain all parameters that defining the iteration procedures.

Definition 5.

14 Let {pv}v=0 be a sequence in X . Then an iteration procedure qv+1=f(Ψ,pv) converging to a fixed point z is said to be Ψ -stable (or stable) with respect to Ψ if and only if for εv=pv+1f(Ψ,pv,vN , we have

limvεv=0limvpv=z.

Definition 6.

15 Let {qv}v=0 and {sv}v=1 are two sequences that converging to the same fixed point z and qvzav, and svzbv for all v0 . If the sequence {av}v=1 and {bv}v=1 converge to a and b, respectively, and limvavabvb=0, then we say that {qv}v=1 converge to z faster than {sv}v=1 .

Definition 7.

16 A Banach space X is said to satisfy Opial’s condition if for each sequence {qv} in X converging weakly to z1, we have limvsupqvz1<limvsupqvz2 for all z2X such that z2z1 .

It is known that:

Any Banach space with a weakly sequentially continuous duality mapping satisfies Opial’s condition,23 Any Hilbert space satisfies Opial’s condition.23

Definition 8.

23 A set C of X is said to be convex if λq+(1λ)sC, for any q,s in C and λ[0,1] .

The following lemma represents Opial’s property.

Lemma 1.

17 If in a Banach space X having a weakly continuous duality mapping J , the sequence {qv}X is weakly convergent to z , then for any

pX.limvinfqvplimvinfqvz

In particular, if the space X is uniformly convex, then equality hold if and only if p=z .

Lemma 2.

18 Let X be a real uniformly convex Banach space, let C be a nonempty closed convex subset of X. If Ψ:CC is a TAN-mapping, then ( IΨ ) is demiclosed at zero, that is whenever qvz and Ψ(qv)z , it follows that Ψ(qv)=z .

Lemma 3.

19 Let {av},{bv}, and {cv} be nonnegative real sequences satisfying the relation av+1(1+cv)av+bv with v=0bv< and v=0cv<,v0 then :

  • (i) The sequence {av} is converges.

  • (ii) If limvinfav=0 then limvav=0 .

Lemma 4.

20 Let r > 0 be a fixed number. Then, a real Banach space X is uniformly convex if and only if there exists a continuous and strictly increasing function g:[0,)[0,)] with g(0)=0, such that: λp+(1λ)q2λp2+(1λ)qpλ(1λ)g(pq) , for all p,qinBr={pX:pr}and λ[0,1] .

Lemma 5.

22 Suppose that X is uniformly convex Banach space and let {av} be real sequence such that 0<bav<c<1 for all v ≥ 1. Let {qv} and {sv} be sequence in X such that limvavqv+(1av)sv=d, and limvsupqvd,limvsupsvd hold for some d0. Then limvqvsv=0 .

Main results

This section investigates of weak and strong convergence properties, stability, analysis and comparative performance of the proposed iterative algorithm.

Weak convergence

The following assumptions are adopted from21

Assumption 1.

  • (i) Choose sequence {αv}(0,1) , {σv},{δv}[0,) and v=1δv< with δv=o(σv) which mean limnδvσv=0.

  • (ii) Let q0,q1X be arbitrary points, for the iterates qv1 and qv for each v1 choose ωv , such that 0ωvωv¯ where, for any η3 define

(1)
ωv¯{min{v1v+η1,δvqvqv1},ifqvqv1v1v+η1,otherwise

Remark 2.

Under Assumption 1 that for each v1, we have.

ωvqvqv1δv
which together with v=1δv< and limvδvσv=0 , we respectively obtain.
(2)
v=1ωvqvqv1<
and
(3)
limvωvσvqvqv1limnδvσv=0

Theorem 1.

Let X be a real uniformly convex Banach space with Opial’s property. Let Ψ:XX be TAN-mapping with sequences {μv},{κv}(0,) and a strictly increasing continuous function :++ with (0)=0 v=1(μv+κv)< and Fix(Ψ) ≠ ∅. Let {qv} be the sequence generated as follows:

(4)
{q0,q1Xav=qv+ωv(qvqv1)bv+1=1ρ(Ψv(av)av)+σvbvpv=av+ρbv+1qv+1=λαvav+(1λαv)pv,v1,
where λ(0,1],ρ>0 , if Assumption (i) holds and set b1=1ρ(Ψ1a0a0) . Then, the sequence {qv} converges weakly to a point zFix(Ψ), provided that the following conditions hold:

(C1)v=0σv<

(C2)limvinfλαv(1λαv)>0

(C3){Ψvavav} is bounded.

Proof:.

The proof is divided in to five steps:

  • 1. Proof {bv} is bounded.

  • 2. limvqvz exists for any zFix(Ψ)

  • 3. limvqvΨqv=0

  • 4. ωc(qv)Fix(Ψ)

  • 5. {qv} is ω -convergence to a fixed point.

Step (1), the condition ( C1 ) implies that limvσv=0 thus, there exists v0N such that σn12 , for all vv0 . Let M1 be define as follows:

M1max{max1kv0bk,(2ρ)supvNΨvavav}

Then, the hypothesis (C3), implies that M1< hold. Presume that bnM1 for some vv0 , then:

(5)
bv+1=1ρ(Ψvavav)+σvbv1ρΨvavav+σvbvM1
This means that bvM1,forallv0therefore{bv}is bounded.

Step (2), from the algorithm (4),

(6)
pv=av+ρbv+1=av+ρ(1ρ(Ψvavav)+σvbv)=Ψvav+ρσvbv

By (5), (6), and for any zFix(Ψ), we obtain:

(7)
pvz=Ψvav+ρσvbvzΨvavz+ρσvbvavz+μv(avz)+κv+ρM1σv

Let U=sup{av+avz}<, ζv=μv(U)+κv

Additionally,

(8)
avz=qvz+ωv(qvqv1)qvz+ωv(qvqv1)

Combining (7) and (8), we obtain:

pvzqvz+ωv(qvqv1)+κv+ρM1σv=qvz+σv[ωvσv(qvqv1)+κvσv+ρM1]

By Remark 2, we know that the sequence {ωvσv(qvqv1)} converges, so there exists some constant say M2>0 such that for all v1,ωvσv(qvqv1)+κvσv+ρM1M2 , thus:

(9)
pvzqvz+σvM2

Next, using (7), (9), and for some M3>0 any zFix(Ψ) we obtain:

(10)
qv+1z=λαvav+(1λαv)pvzλαvavz+(1λαv)pvzλαv[qvz+ωv(qvqv1)]+(1λαv)pvzλαvqvz+ωvλαv(qvqv1)+(1λαv)qvz+(1λαv)σvM2
qv+1zqvz+σvM3,
where
(11)
ωvλαvσv(qvqv1)+(1λαv)M2M3

Hence, using Lemma 5 and condition (C1), it follows that limvqvz exists. Consequently, the sequence {qv} is bounded.

Step (3) since the sequence {av} is bounded, it follows that {Ψvav} is bounded. Let r=supv1{av,Ψvav} and by (10), Lemma 4, and condition C1, we obtain.

qv+1z2=λαvav+(1λαv)pvz2avz2+(1λαv)ζv2λαv(1λαv)g(avΨvav)+ρ2σv2M122λαvρ2σv2M12+λ2ρ2αv2σv2M12+2(1λαv)ρσvM1(avz+(1λαv)ζv)

Since the limvqvz exists for any zFix(Ψ) , then using (2) it follows from (8) that there exists L>0 such that avzL

qv+1z2avz2+(1λαv)ζv2λαv(1λαv)g(avΨvav)+ρ2σv2M122λαvρ2σv2M12+λ2ρ2αv2σv2M12+2(1λαv)ρσvM1(L+(1λαv)ζv)qvz2+2ωvqvqv1qvz+(ωvqvqv1)2λαv(1λαv)g(avΨvav)+ρ2σv2M122λαvρ2σv2M12+λ2ρ2αv2σv2M12+2(1λαv)ρσvM1(L+(1λαv)ζv)

Since limnqvz exists for any z Fix(Ψ) , then the sequence {qvz} is bounded; therefore, there exists H>0 such that qvzH for all v1 . Hence,

qv+1z2qvz2+2ωvqvqv1H+(ωnqvqv1)2λαv(1λαv)g(avΨvav)+ρ2σv2M122λαvρ2σv2M12+λ2ρ2αv2σv2M12+2(1λαv)ρσvM1(L+(1λαv)ζv)

Therefore,

λαv(1λαv)g(avΨvav)qvz2qv+1z2+2ωvqvqv1H+(ωnqvqv1)2+ρ2σv2M122λαvρ2σv2M12+λ2ρ2αv2σv2M12+2(1λαv)ρσvM1(L+(1λαv)ζv)

Hence,

v=0λαv(1λαv)g(avΨvav)q0z2+2Hv=0ωvqvqv1+v=0(ωvqvqv1)2+M12ρ2v=0σv2+2λρ2M12v=0αvσv2+λ2ρ2M12v=0αv2σv2+v=02(1λαv)ρσvM1(L+(1λαv)ζv)

Using (C1), we obtain

v=0λαv(1λαv)g(avΨvav)< . Which implies that: limvλαv(1λαv)g(avΨvav)=0. By condition (C2), we obtain:

(12)
limvg(avΨvav)=0.AndlimvavΨvav=0

Next,

avqv=qv+ωv(qvqv1)qv=ωvqvqv1

Taking the sum over v of both sides and considering (2), we obtain: v=0avqv=v=0ωvqvqv1< . Which implies that:

(13)
limvavqv=0

Since Ψ is TAN-mapping, we obtain:

(14)
qvΨvqv=qvav+avΨvav+ΨvavΨvqvqvav+avΨvav+ΨvavΨvqvqvav+avΨvav+avqv+μv(avqv)+κv2qvav+avΨvav+ζv

Continuity of (12) and (13) in (14) implies that:

(15)
limvqvΨvqv=0

On the other hand,

avpv=av(av+ρbv+1)=ρbv+1ρ(1ρavΨvav+σvbvavΨvav+ρσvM1)

By (12) and (C1), we obtain:

(16)
limvavpv=0
qv+1Ψvqv+1λαvavΨvav+ρσvM1+(1λαv)avpv+ζv

It follows from (12), (16), and (C1) that:

(17)
limvqv+1Ψvqv+1=0

By (15) and (17), we obtain:

(18)
limvqvΨqv=0

Step (4) Since every uniformly convex Banach space is reflexive,23 so the reflexivity of X makes each bounded sequence has a weakly convergent subsequence.23 Applying this fact, {qv} has a subsequence {qvk} such that qvkz , therefore, from (18), limkqvkΨqvk=0 and consequently by Lemma 2, Ψz=z . Hence, ωc(qv)Fix(Ψ) .

Step (5) To prove that the sequence {qv} converges weakly to a fixed point of Ψ , it is enough to demonstrate that ωc(qv) consists of a single element. For this purpose, using Lemma 1 and Definition 7, let z1,z2ωc(qv) and consider subsequences {qvi} and {qvj} of {qv} such that.

qviz1 and qvjz2 .Then for z1z2 we have:

limvqvz1<limiqviz2=limjqvjz2<limjqvjz1=limvqvz1

This leads to a contradiction. Hence ωc(qv) is a singleton, and {qv} is ω-convergence to a fixed point.

Strong convergence

Theorem 2.

If in addition to all the hypothese of Theorem 1, the mapping Ψ is semi-compact. Then the sequence {qv} generated by (4) converges strongly to a fixed point of Ψ .

Proof.

Suppose that Ψ is semi-compactness. Starting from steps 2 and 3 in the proof of Theorem 1, and the boundedness of the sequence {qv} with limvqvΨqv=0 , then there exists a subsequence {qvk} of {qv} such that qvkz as k. Therefore qvkz and so zωc(qv)Fix(Ψ). From step 2 in the proof of Theorem 1, limvqvz exists, then limvqvz=limkqvkz=0 , which means that qvzFix(Ψ) .

Corollary 1.

Under the assumptions of Theorem 1, assume that Ψ:XX be a nonexpansive mapping with F ix(Ψ) . Then the sequence {qv} generated by (4) with λ(0,1],ρ>0 and initial value b0=1ρ(Ψa0a0) , converges weakly to a point in Fix(Ψ) , provided that conditions (C1) − (C3) hold.

Corollary 2.

Under the assumptions of Theorem 1, assume that Ψ:XX be a Asymptotically nonexpansive mapping with Fix(Ψ) . Then the sequence {qv} generated by (4) with λ (0,1],ρ>0 and initial value b0=1ρ(Ψ1a0a0) , converges weakly to a point in Fix(Ψ) , provided that conditions (C1) − (C3) hold.

Corollary 3.

Let X be a real Hilbert space and Ψ:XX be either a TAN-mapping or a nonexpansive mapping with Fix(Ψ) . Then the sequence {qv} generated by (4) with λ (0,1],ρ>0 , and b0=1ρ(Ψ1a0a0) , converges weakly to a point in Fix(Ψ) , provided that conditions (C1) − (C3) hold.

Corollary 4.

Let X be a real Hilbert space and Ψ:XX be either a TAN-mapping or a Asymptotically nonexpansive mapping with Fix(Ψ) . Then the sequence {qv} generated by (4) with λ (0,1],ρ>0 , and b0=1ρ(Ψ1a0a0) , converges weakly to a point in Fix(Ψ) , provided that conditions (C1) − (C3) hold.

Remark 3.

Theorem 1 applies to the broader class of asymptotically nonexpansive mappings and therefore extends Theorem 3.1 of Dong et al., see,20 to real uniformly convex Banach spaces, which include real Hilbert spaces as special case. Hence, the present result generalized several known convergence theorems in the literature.

Stability

In this section, we analyze the stability of the iterative sequence defined by (4) with respect to a fixed point of the TAN-mapping. The associated iterative operator is given by f(Ψ,rv)=λαvsv+(1λαv)tv.

Theorem 3.

Let X be a Banach and Ψ:XX be a TAN-mapping. Suppose X has a fixed point z. Let the sequence {rv}v=1 be a sequence generated by (4) with λ(0,1] and ρ>0 . If Assumption 1 holds and the sequence {Ψvavav} is bounded, then {qv}v=1 is stable.

Proof.

Let {rv}v=1 be an arbitrary sequence in X the sequence generated by (4) is rv+1=f(Ψ,rv) converging to a unique fixed point z and εv=rv+1f(Ψ,rv) . We will prove that limvεv=0limvrv=z .

Assume limvεv=0 and

rv+1z=rv+1f(Ψ,rv)+f(Ψ,rv)zrv+1f(Ψ,rv)+f(Ψ,rv)z=εv+f(Ψrv,rv)z=εv+λαvsv+(1λαv)tvzεv+λαvsvz+(1λαv)tvzεv+λαv[rvz+ωv(rvrv1)]+(1λαv)tvzεv+λαvrvz+ωvλαv(rvrv1)+(1λαv)[svz+μv(svz)+κv+ρσvnv]εv+λαvrvz+ωvλαv(rvrv1)+(1λαv)[rvz+ωv(rvrv1)+μv(svz)+κv+ρσvnv]rv+1zεv+rvz+ωv(rvrv1)+(1λαv)μv(svz)+(1λαv)κv+(1λαv)ρσvnvrv+1zrvz+δv,

where

δv=εv+ωv(rvrv1)+(1λαv)μv(svz)+(1λαv)κv+(1λαv)ρσvnv

Since , μv0,κv0,σv0 , and assumption v=0ωv(rvrv1)<, it follows that δv0 as v . Therefore, by Lemma 3, we have limvrvz=0 , which gives limvrv=z.

On the other hand, suppose that limvrv=z. Then,

εv=rv+1f(Ψ,rv)rv+1z+f(Ψ,rv)zrv+1z+λαvsv+(1λαv)tvzrv+1z+λαvsvz+(1λαv)tvzrv+1z+λαv[rvz+ωv(rvrv1)]+(1λαv)tvzrv+1z+λαvrvz+ωvλαv(rvrv1)+(1λαv)[svz+μv(svz)+κv+ρσvnv]rv+1z+λαvrvz+ωvλαv(rvrv1)+(1λαv)[rvz+ωv(rvrv1)+μv(svz)+κv+ρσvnv]rv+1z+rvz+ωv(rvrv1)+(1λαv)μv(svz)+(1λαv)κv+(1λαv)ρσvnv

Taking the limit as v → ∞ by both sides, we get limvεv=0.

Now, recall HR-iteration24 which is defined by

(19)
ρv=(1δv)dv+δvΨ(dv)wv=Ψ((1tv)ρv+tvΨ(ρv))uv=Ψ(Ψ(wv))dv+1=(1ϱv)uv+ϱvΨ(uv)v1,whereδv,tv,ϱv(0,1)andv=0δv=v=0tv=v=0ϱv=

Theorem 4:

Let C be a nonempty closed convex subset of a Banach space X and Ψ:CC be a TAN-mapping. For a given q0 = d0, let {qv}v=1 be sequence generated by (4), with λ(0,1] and ρ>0 and let, {dv} be sequence generated by (19). Then {qv} converges to z faster than {dv} .

Proof:

From inequality (10), we obtain:

qv+1zλαvqvz+ωvλαv(qvqv1)+(1λαv)qvz+(1λαv)σvM2qv+1zqvz+c1

Where c1=ωvλαv(qvqv1)+(1λαv)σvM2

For the HR-iteration sequence {dv} , similar estimates give similar results.

dv+1zuvz+ϱvμv(uvz)+ϱvκvuvzwvz+μv(wvz)+2κv+μv(Ψwvz)wvzρvz+tvμv(ρvz)+tvκv+κv+μv[(1tv)ρv+tvΨρv]ρvzdvz+δvμv(dvz)+δvκv

Then

uvzdvz+δvμv(dvz)+δvκv+tvμv(wvz)+tvκv+3κv+μv[(1tv)ρv+tvΨρv]+μv(Ψwvz)dv+1zdvz+μv[δv(dvz)++tv(ρvz)+[(1tv)ρv+tvΨρv]+(Ψwvz)+(wvz)+ϱv(uvz)]+κv[ϱv+δv+tv+3]dvz+c2

Where c2=+μv[δv(dvz)++tv(ρvz)+[(1tv)ρv+tvΨρv]+(Ψwvz)+(wvz)+ϱv(uvz)]+κv[ϱv+δv+tv+3]

limvqv+1zdv+1zlimvqvz+c1dvz+c20asv

Therefore the sequence {qv} converges faster than {dv} to the fixed point z of Ψ .

Numerical example

Example 1.

Let X=R and define the mapping Ψv:RR by Ψv(q)=12q+14sin(vq) for all vN,qR . It can be verify that { Ψv} from a family of TAN-mappings. For the iterative {qv} defined by (4), the initial values and parameters are chosen as q0=1.5,q1=1.3,b0=0,ρ=1,λ=0.8,wv=0,4,αv=0.8,σv=0,05 . For the HR-iteration sequence {qv} defined by (19), the initial values and parameters are selected as d0=1.5,δv=tv=ϱv=0.3 where the fixed point is z=1.0 . The numerical results are presented in Table 1 and a graphical comparison is shown in Figure 1.

Next, we consider the AU-iteration {sv} be sequences generated by the following scheme25:

(20)
wv=Ψ((1av)sv+avΨ(sv))hv=Ψ(wv)uv=Ψ(hv)sv+1=Ψ(uv)
with av[0,1] .

Table 1. Convergence difference between two iteration processes in Banach space.

n qv (first iteration) qvz dv (second iteration) dvz
0 1.50.51.50.5
1 1.30.300000000000000000.41319152449575800.5868084755042420
2 1.08491894206872000.08491894206871620.34217170216623200.6578282978337680
3 0.8942528649097530.105747135090247000.46544790639479900.5345520936052010
4 0.72264110519160900.277358894808391000.473850528045516000.5261494719544850
5 0.57666622114717100.423333778852829000.425008642051775000.5749913579482250
6 0.46817809360165500.53182190639834500.37901952079234100.6209804792076590
7 0.39610585038745100.60389414961254900.339792497588305000.6602075024116950
8 0.348349678848565000.6516503211514350.307513321080032000.6924866789199680
9 0.3127848392843550.68721516071564500.28100960619886300.7189903938011380
10 0.283511419535411000.71648858046458900.25886499951404800.7411350004859530
11 0.236484611961674000.76351538803832600.239880917741487000.7601190822585130
12 0.22218635064064700.7778136493593530.223228471482028000.7767715285179720
13 0.206681317162331000.79331868283766900.208580026385551000.7914199736144490
14 0.19348297215771700.80651702784228300.196119581725497000.8038804182745030
15 0.182163235347347000.81783676465265300.186262692853136000.8137373071468640
16 0.171906524414102000.82809347558589800.177799393547688000.8222006064523120
17 0.162955888043576000.83704411195642400.152184215149363000.8478157848506370
18 0.154696935555098000.84530306444490200.13683894309989900.8631610569001010
19 0.147490778736278000.85250922126372200.187497192481177000.8125028075188230
20 0.140600018066570000.85939998193343000.00173376065612741000.9982662393438730
21 0.13482514251420600.8651748574857940-0.083138283560674901.0831382835606700
22 0.128701489091001000.87129851090899900.245238376739642000.7547616232603580
23 0.124536488944019000.87546351105598100.0099422173471926900.9900577826528070
24 0.117903970576809000.8820960294231910.098652815971529400.9013471840284710
25 0.117422420332993000.88257757966700700.136246640182145000.8637533598178550
26 0.104650313287074000.8953496867129260-0.1387604186213491.138760418621350
27 0.120463588600494000.8795364113995060-0.131143418919676001.131143418919680
28 0.069262303161731500.93073769683826900.257807779650806000.742192220349194
29 0.12603009545816000.8739699045418400-0.083211062954474801.083211062954480
30 0.038630884769703100.961369115230297-0.29073466227039901.2907346622704000
7da37dfc-cec6-4261-a32d-2c5afd4a47b0_figure1.gif

Figure 1. A graphical comparison of (4) and (19).

Theorem 5.

Let C be a nonempty closed convex subset of a Banach space X and Ψ:CC be a TAN-mapping with Fix(Ψ) . Let the sequence {qv} and {sv} be defined by (4) and (20), respectively.

Under the above assumptions for q0=s0C , the following statements are equivalent:

  • 1. {qv} converges to zFix(Ψ)

  • 2. {sv} converges to zFix(Ψ)

Proof.

Since initial points q1,q0,s0C and all operations involved in both iteration algorthim consist of convex combinations and bounded perturbations, it follows that all generated sequences remain in the closed convex subset C . In particular, the sequence {qv},{sv},{ρv},{bv},{wv},{hv} and {uv} are bounded. Assume first that {qv} converges to zFix(Ψ). By Theorem 1, this convergence is ensured under the stated assumption. To prove that {sv} also converges to the same fixed point z, we estimate.

sv+1zuvz+μv(uvz)+kv(1av)svz+avsvz+avμv(svz)+avkv+μv((1av)sv+avΨ(sv)z)+kvsv+1zsvz+avμv(svz)+avkv+μv((1av)sv+avΨ(sv)z)+kv+μv(wvz)+kv+μv(hvz)+kv+μv(uvz)+kvsvz+μv[av(svz)+(wvz)+(hvz)+((1av)sv+avΨ(sv)z)+(uvz)]+kv(av+4)

Since μ → 0, kv → 0, and all invloved sequences are bounded, Lemma 3 implies that {sv} converges to z . Finally, define Dv=qvsv , to show limvDv=0 .

Since both sequences converge to the same fixed point z , we have: qv+1sv+1qv+1z+sv+1z0 , which implies that limvDv=0 . Therefore, the two statements are equivalent.

Application

In this section, we apply the proposed framework of TAN-mapping to a nonlinear two-dimensional Volterra integral equation of the form.

X(ξ,ρ)=β(ξ,ρ)+0ξ0ρ1(l,h,X(l,h))dldh+ζ0ξ2(ρ,h,X(ξ,h))dh+γ0ρ3(ξ,l,X(ρ,r))dl
For all ξ,ρ, l,h[0,1], where XC[0,1]×C[0,1],β:[0,1]×[0,1]R2 , j:[0,1]×[0,1]×R2R2 are continuous, function for j=1,2,3 , let X=C[0,1] is a Banach space with the maximum norm qs=maxσ[0,1]|q(σ)s(σ)|, for all q,sC[0,1] .
Theorem 6.

Assume that Z is a nonempty closed convex subset of X and Ψ:ZZ described as

(21)
ΨX(ξ,ρ)=β(ξ,ρ)+0ξ0ρ1(l,h,X(l,h))dldh+ζ0ξ2(ρ,h,X(ξ,h))dh+γ0ρ3(ξ,l,X(ρ,l))dl

Also assume the assertions below are true

  • 1) The function X:X×XR2 is continuous.

  • 2) There exist constants v1,v2,v3>0 and sequences ηv,εv0withηv0,εv0 , such that for all w1,w2R2 ,

    1(l,h,w1)1(l,h,w2)(1+ηv)v1w1w1+εv2(ρ,h,w1)2(ρ,h,w2)(1+ηv)v2w1w1+εv3(ξ,l,w1)3(ξ,l,w2)(1+ηv)v3w1w1+εv

Then the two-dimensional Volterra integral equation (21) has a solution in Z×Z provided that Ψ has a fixed point.

  • 3) For ζ,γ0,v1+ζv2+γv3L,whereL(0,1)

Proof.

Let X,XX . By direct estimation and using Assumption (2), we obtain:

XΨX=|X(ξ,ρ)(σ)X(ξ,ρ)(σ)|σ[0,1]max=maxσ[0,1]|X(ξ,ρ)(σ)β(ξ,ρ)0ξ0ρ1(l,h,X(l,u))dldhζ0ξ2(ρ,h,X(ξ,h))dhγ0ρ3(ξ,l,X(ρ,l))dl|maxσ[0,1]{|X(ξ,ρ)(σ)β(ξ,ρ)0ξ0ρ1(l,h,X(l,h))dldhζ0ξ2(ρ,h,X(ξ,h))dhγ0ρ3(ξ,l,X(ρ,l))dl|+|0ξ0ρ1(l,h,X(l,h))dldh0ξ0ρ1(l,h,X(l,h))dldh|+ζ|0ξ2(ρ,h,X(ξ,h))dh0ξ2(ρ,h,X(ξ,h))dh|+γ|0ρ3(ξ,l,X(ρ,l))dl0ρ3(ξ,l,X(ρ,l))dl|}

XΨXβXX+(1+ηv)(v1+ζv2+γv3)XX+(1+ζ+γ)εv=[β+(1+ηv)(v1+ζv2+γv3)]XX+(1+ζ+γ)εv

Let (t)=t,μv=ηv(v1+ζv2+γv3),kv=(1+ζ+γ)εv . By Assumption 3, we obtain XΨX=XX+μv(XX)+kv , it follows that Ψ is a TAN-mapping.

Therefore, by

Theorem 1, the iterative algorthim generated by (4) converges weakly to a solution of the integral Equation (21).

The following example supports Theorem 6.

Example 2.

Consider the following two-dimensional Volterra integral equation.

(22)
X(ξ,ρ)=cos(πξρ)10+0ξ0ρ116cosX(lh)dldh+120ξ124cosX(ξh)dh+120ρ123cosX(ρl)dl

It is clear that problem (22) is a special case of (21) with, β(ξ,ρ)=cos(πξρ)10 , 1(l,h,X(l,h))=116cosX(lh) , 2(ρ,h,X(ξ,h))=124cosX(ξh) , 3(ξ,l,X(ρ,l))=123cosX(ρl) , ζ=12 and γ=12 .

Since the cosine function is Lipschitz continuous on bounded intervals and the constants 116,124,123 satisfy the contraction type bound required in Assumption (3) all assumptions of Theorem 6 are satisfied, Therefore, Equation (22) admits at least one solution in X.

Conclusion

In this paper, we investigated the convergence properties of the modified iterative algorithm (4) in the Banach space X. The main results establish both weak convergence (Theorem 1) and strong convergence (Theorem 2) of the proposed scheme under appropriate assumptions on the space and on the structure of the iterative process. Furthermore, stability of the generated sequence was analyzed, and a comparative study demonstrated that the proposed method converges faster than the HR-iteration scheme. Algorithm 4 was shown to be equivalent to Algorithm 20 in the sense that both methods converge to the same fixed point, while the proposed algorithm exhibits a superior convergence rate. The theoretical findings were supported by a numerical example and illustrated through convergence plots generated using MATLAB. To further demonstrate the applicability and significance of the proposed method, the theoretical results were applied to the solution of a nonlinear two-dimensional Volterra integral equation. The obtained results demonstrate that the proposed framework provides a unified approach for analyzing convergence, stability, and acceleration of iterative algorithm under TAN-mapping conditions. Future research directions may include the investigation of a related iterative algorithms and their extensions under weaker contractive type assumptions, such as those proposed in Refs. 26 and 27.

Ethical clearance

The project was approved by the local ethical committee at the University of Baghdad.

Data availability

No data associated with this article.

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The manuscript investigates weak and strong convergence results for a proposed four-step accelerated iterative scheme applied to total asymptotically nonexpansive (TAN) mappings in uniformly convex Banach spaces. The topic falls within classical fixed-point theory and nonlinear functional analysis, and the ... Continue reading
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The manuscript presents interesting convergence results for accelerated fixed-point algorithms. However, the paper contains numerous grammatical errors, awkward sentence constructions, and inconsistencies in academic style. A comprehensive language revision is required.
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  • Author Response 09 Feb 2026
    Rana Fadhil, Mathematics, University of Baghdad, Baghdad, 10011, Iraq
    09 Feb 2026
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  • Author Response 09 Feb 2026
    Rana Fadhil, Mathematics, University of Baghdad, Baghdad, 10011, Iraq
    09 Feb 2026
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    Dear Editor,
    We would like to thank you and the reviewer for the time and effort devoted to the evaluation of our manuscript entitled
    “Fixed-point Acceleration Algorithm of Total Asymptotically ... Continue reading

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