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Research Article
2025
:37;
2662025
doi:
10.25259/JKSUS_266_2025

Exploring the existence of a solution of nonlinear Fredholm integral equations: Novel approaches to estimating common fixed points

Department of Sciences and Humanities, National University of Computer and Emerging Sciences, Lahore Campus, Lahore, Pakistan
Department of Mathematics, Division of Science and Technology, University of Education, Lahore 54770, Pakistan
Department of Center for Mathematical Research, University of Sanya, No.191, Xueyuan Rd. Yinbing Ave., Sanya City, 572022, China
New Energy and Intelligent Vehicle Engineering Research Center of Hainan Province, Hainan, China

*Corresponding author E-mail address: mizhou@sanyau.edu.cn (M. Zhou)

Licence
This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, transform, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

Abstract

This study explores common fixed points for mappings that satisfy the non-symmetric Garcia-Falset property in a Banach space with uniform convexity and a digraph G. By leveraging coordinate convexity, we analyze the convergence outcomes of the modified AA-iterative algorithm. We aim to identify common fixed points through a series of convergence analyses and offer an illustrative example to validate our findings for such mappings. Utilizing these common fixed point results in conjunction with illustrative examples, we establish the existence of a common solution to a system of nonlinear Fredholm integral equations. This research presents novel approaches for addressing nonlinear Fredholm integral equations by investigating the estimation of common fixed points, showcasing these methodologies’ potential applications and implications in solving complex mathematical problems.

Keywords

Banach space
Coordinate convexity
Common fixed point
Digraph
Garcia-Falset mapping
Non-symmetric contractions
Primary 47H10
Secondary 47H09
PubMed

1. Introduction

Fixed point theory is a sophisticated area with numerous extensions and findings. Iterative schemes are crucial for determining fixed points and addressing issues in applied sciences and mathematics. It benefits various fields like mathematical modeling, fractal mathematics, approximation theory, dynamic system theory, linear and nonlinear analysis, mathematical economics, game theory, differential equations, integral equations, and economics.

Nonlinear Fredholm integral equations in Banach spaces are crucial in fractional differential equations, control theory, and boundary value issues, refer to (Beg et al., 2022; Abed and Hasan, 2019; Ameer et al., 2020; Aoyama and Kohsaka, 2011; Bejenaru and Postolache, 2020; Bera et al., 2023; Clarkson, 1936; Edelstein, 1974; Gallagher, 2016; García-Falset et al., 2011; Houmani and Turcanu, 2019; Jachymski, 2008; Johnsonbaugh, 1997; Janngam and Wattanataweekul, 2022; Khammahawong et al., 2022; Kondo, 2023; Maleknejad et al., 2020; Opial, 1967; Khammahawong et al., 2022; Pandey et al., 2019). Fixed-point theorems such as the Banach fixed-point theorem, Krasnoselskii fixed-point theorem, and Schauder fixed-point theorem are used to analyze solutions, demonstrating uniqueness by showing that the operator of the Fredholm equation is a contraction. Refer to Taier et al. (Taier et al., 2024) for additional details.

The fixed-point theory of nonexpansive operators has gained the attention of researchers, leading to generalizations and extensions of these mappings. For more information, consult (Piri et al., 2019), (Shukla et al., 2016), and (Tam, 2018; Thianwan and Yambangwai, 2019; Tiammee et al., 2015; Tripak, 2016; Usurelu et al., 2023). Suzuki (Suzuki, 2008) introduced condition (C) on Banach spaces by setting restrictions, establishing α-nonexpansive mappings and αβ nonexpansive mappings, see (Pandey et al., 2019; Shukla et al., 2016).

Garca-Falset et al. (2011) introduced operators with property (E), a specific idea of broadening mappings with property (C).

In Kondo (2023), Ishikawa and mean iteration concepts were used to establish weak convergence theorems for common fixed points of nonlinear mappings. The definition of ever-more-general classes of nonexpansive operators through generalizing metric and the development of new iterative schemes are the three main directions that can be used to sum up the significant contributions made to fixed-point theory.

The fixed-point theory emerged in graphical metric spaces, particularly when a graph has mathematical or practical relevance, such as a route between cities.

In 2008, the Banach contraction principle was extended to a metric space with a directed graph, drawing on concepts from the fixed point and graph theories by Jachymski (2008). Later, the concepts of G-nonexpansive and G-contractive mappings in a metric space associated with a digraph were introduced, along with results concerning their convergence of numerous iterative methods for such mappings in Banach space as well as in Hilbert space were presented (Thianwan and Yambangwai, 2019; Tiammee et al., 2015; Tripak, 2016). Recently, a novel accelerated algorithm for finding common fixed points was proposed by Rattanakorn and Kobkoon (Wattanataweekul and Janngam, 2022) for a countable family of G−nonexpansive mappings in a real Hilbert space with a graph using the concept of right and left coordinate affine associated with a directed graph. Kobkoon and Rattanakorn also (Janngam and Wattanataweekul, 2022) proposed a novel accelerated common fixed-point scheme for two countable families of G-nonexpansive mappings with the employment of a new algorithm for classifying datasets from the ionosphere, heart disease, and breast cancer.

In 2019, Padcharoen et al. (2019) presented a modified form of the Thakur iterative scheme and used it to solve common solutions of accretive operators. Bera et al. (2023) presented a modified version of Liu et al.’s iterative algorithm, and Abed et al. (2019) presented a modified hybrid Mann algorithm.

Inspired by the preceding conversation, we use the modified AA−iterative method with coordinate-convexity to show convergence findings for a pair of Garcia-Falset mappings in Banach spaces equipped with digraphs.

Consider the following algorithm:

(1)
ρ 1 A , ρ n + 1 = κ 1 b n , b n = κ 2 1 s n κ 1 d n + s n κ 2 c n , c n = κ 2 1 q n d n + q n κ 1 d n ,    n + d n = 1 r n ρ n + r n κ 2 ρ n ,

where sequences {sn},{qn}{rn} ∈ (0,1) and κ1, κ2 are self-mappings on a subset A. Additionally, we present an example to validate our results for such mappings. We have shown convergence analysis of the modified AA-iterative method with modified Thakur, Picard, Mann, and Liu et al.’s algorithms. Using the common fixed-point results accompanied by illustrative examples, we prove the existence and uniqueness of the common solution of two mappings for the system of nonlinear Fredholm integral equations.

2. Preliminaries

Let κ : AA be a mapping where AB such that B is a Banach space and A is a closed and convex set. κ is called:

Suzuki mapping, if

1 2 ψ − κ ψ ∥ ≤ ∥ ψ ı, then

∥κ ψ − κı∥ ≤ ∥ ψ ı,

(2) nonexpansive mapping if ∀ ψ A

∥κ ψ − κı∥ ≤ ∥ ψ ı,

(3) Quasi-nonexpansive if ∀ ψ A

∥κ ψ ι∥ ≤ ∥ ψ ι,ψA and ιF(κ),

where F(κ) represents the collection of fixed points of κ.

When a graph G = (ω(G)(G)) has a vertex set ω(G) that equals the set A, or A = ω(G), then the graph is said to be related to a nonempty set A. Consider G as a directed graph that contains no parallel edges, where A Use △ to represent the diagonal of A × A. △ ⊆ η(G) because every vertex in G has a self′ loop included in the collection of edges η(G) of the underlying graph. G′ is the transpose graph of G, and it has the following definition:

ω ( G ) = ω ( G ) , η ( G ) = { ( ψ , b ) A × A | ( b , ψ ) η ( G ) }

The non-directed graph derived from G by combining all of the edges in G′ is represented by G′′. More precisely, we define:

ω ( G ) = ω ( G ) , η ( G ) = η ( G ) η ( G )

We review some fundamental ideas about the graphs, see Johnsonbaugh (1997). For two vertices ψ , b in graph G, a path of length L in G from ψ to b is a sequence { ψ i } i = 0 L   of L + 1 vertices such that ψ 0 = ψ , ψ L = b with ( ψ i , ψ i + 1 ) η ( G ) , for i = 0,1,...,L − 1 and L 0 .

If a path connects any two vertices in graph G, then the graph is said to be connected. If for all ψ , b,cω(G) such that ( ψ ,b) and (b,c) ∈ η(G), we have ( ψ ,c) ∈ η(G), then the directed graph G = (ω(G)(G)) is said to be transitive.

2.1. Definition

Gallagher (2016) κ is said to be demiclosed with pB if, for each sequence {ρn} belonging to A and uA, {ρn} weakly converges to u and κρn strongly converges to p which implies κu = p.

2.2. Definition

Opial (1967) When each sequence {ρn} converges weakly to uB with below mentioned satisfied:

liminf n   ρ n u * < liminf n ρ n p ,

pB and u p, then Banach space B meets Opial’s condition.

Remark 2.1. A Banach space B is considered uniformly smooth if the following limit exists.

(2)
lim n   ψ + l b ψ l ,   for all ψ , b     ρ B ,

where ρ B represents unit sphere of B.

When the limit (2) is uniformly obtained for all ψ B and bρB, then the norm of B is called Frechet differentiable (Wataru et al., 1998). Then, we get

(3)
1 2 x   ˜ 2 + ψ , K ( x ˜ ) 1 2 x ˜ + ψ 2 1 2 x ˜   2 + ψ , K ( x ˜ ) + g ψ ,    ψ , x ˜ B ,

where g denotes an increasing function over non-negative numbers belonging to R with lim t→0 f ( t ) t = 0 and K( x ˜ ) denotes the Frechet derivative of the functional 1 2 . 2 at x ˜ B .

Here is concept for a mapping meeting Condition(I) that is given by Sentor and Dotson (1974):

2.3. Definition

κ : AA meets Condition(I) if s : [0,∞) → [0,∞) exists such that

d(ρ,κρ) ≥ s(d(ρ,F(κ))),ρA, where following holds:

where s is a non-decreasing function.

  • i.s(0) = 0;

  • ii.s(t) > 0,t > 0;

  • iii.d(ρ,F(κ)) = inf(ρ,ℓ) : F(κ).

2.4. Definition

Shahzad and Al-Dubiban (2006) κ1,κ2 : AA satisfy Condition(I”) when a non-decreasing function s : [0,∞) → [0,∞) exists such that

(4)
max u κ 1 u , u κ 2 u s ( d ( u n , F ) ) , u A ,

where the following conditions hold:

  • i.s(0) = 0;

  • ii.s(t) > 0,t > 0;

  • iii.d(un,F) = inf ∥u,ℓ∥ : F(κ).

Definitions of asymptotic center and radius are provided below, details in Edelstein (1974).

2.5. Definition

Let R(.,{ρn}) : B → R+ be mapping defined as:

R d , ρ n = limsup n ρ n d ,

for all dB, then R(d,{ρn}) is known as asymptotic radius of {ρn} at d. Asymptotic radius of {ρn}

corresponding to A, where AB is:

R ( A , { ρ n } ) = inf R ( d , { ρ n } ) ,

where dA. The set is defined as:

(5)
C ( A , { ρ n } ) = R ( A , { ρ n } ) = R ( d , { ρ n } ) ,

is called asymptotic center of {ρn} relative to A, where d A.

The asymptotic center contains one element whenever B is a Banach space with uniformly convexity (Maleknejad et al., 2020).

2.6. Definition

Yambangwai and Thianwan (2024) Let us consider a vector space V along with a subset W ∅ of V ×V. When we have all (q,ρ),(q,v),(ρ,q),(v,q) ∈ D and all s ∈ [0,1], we can say that G is coordinate-convex if

s ( q , ρ ) + ( 1 s ) ( q , v ) D and s ( ρ , q ) + ( 1 s ) ( v , q ) D .

Remark 2.2. G is coordinate-convex in V × V when G is convex in V × V. But its converse is not always true.

Proposition 2.1 (García-Falset et al., 2011). Suppose a mapping κ : AB is satisfying Garcia-Falset property on A. κ is quasi-nonexpansive whenever κ has at least one fixed point.

Lemma 2.1 (Schu, 1991). Suppose B is a uniformly convex Banach space and 0 < sn < 1 for all n + . Consider {pn} and {qn} are two sequences satisfying limsup n p n ı   , limsup n qn∥ ≤ ı and limsup n ∥(1− sn)pn + snqn∥ = ı for any ı ≥ 0, then lim n pnqn∥ = 0.

Lemma 2.2 ( Şoltuz and Otrocol, 2007). Define a sequence {βn} on + that fulfills the inequality as:

(6)
β n + 1 ( 1 β n ) α n

if α n (0,1) and n = 0 β n = , then lim n→∞ ρ n ι = 0.

3. Graphical Garcia Falset mappings and Convergence Analysis

In this section, we present a modified AA−iterative scheme for two Garcia Falset mappings equipped with graphs. We prove convergence results by using coordinate convexity in place of convexity, which is a weaker one. Let κ1,κ2 : AA where A ∅ be a closed and convex subset of a uniformly convex Banach space, denoted as B.

3.1. Definition

Assume that a mapping κ : AA satisfies the following:

1. κ preserves edges in η(G) i.e. if (a,b) ∈ η(G) then (κa,κb) ∈ η(G).

(7)
2.   a κ ι λ a κ a + a ι , a , ι A .

where ∅ ̸ AB with B is a Banach space and λ ≥ 1 then κ is said to be non-symmetric graphical Garcia-Falset (G -F) mapping.

In this section set A,B and the graphical G -F mappings κ1,κ2 satisfy following conditions:

  • 1. ∅ ̸ AB

  • 2.G = (ω(G)(G)) be a digraph and transitive graph. Also, ω(G) = A and η(G) is satisfying coordinate convexity condition.

  • 3. κ1,κ2 are edge-preserving graphical G - F mappings and F1) ∩ F2) ≠ ∅.

  • 4. For all qF1)∩F2), the sequence ρn is generated as in algorithm (1) so that (ρ1,q),(q,ρ1) ∈ η(G).

Proposition 3.1. If the conditions (Beg et al., 2022; Abed and Hasan, 2019; Ameer et al., 2020; Aoyama and Kohsaka, 2011) satisfy then, we say

( ρ n , q ) , ( b n , q ) , ( c n , q ) , ( d n , q ) , ( q , ρ n ) , ( q , b n ) , ( q , c n ) , ( q , d n ) , ( ρ n , b n ) , ( ρ n , c n ) , ( ρ n , d n ) , ( ρ n , ρ n + 1 ) η ( G ) , n N .

Proof. We first show via mathematical induction that

(8)
( q , ρ n ) η ( G ) .

It is obvious from assumption that (q,ρ1) ∈ η(G).

Suppose (4.1) is satisfied for n = l, we have to prove (q,ρl+1) ∈ η(G).

In fact, as κ2 is edge-preserving, so (q,ρl) ∈ η(G) implies (q,κ2ρl) ∈ η(G). Consider

(9)
( q , d k ) = ( q , ( 1 r k ) ρ k + r k κ 2 ρ k ) = ( 1 r k ) ( q , ρ k ) + r k ( q , κ 2 ρ k ) .

Since (q,ρk),(q,κ2ρk) ∈ η(G) and also by coordinate convexity (q,dk) ∈ η(G) that implies (q,κ2dk) ∈ η(G), which is due to edge preserving property of κ2. Also, by taking ck = κ2(xk) where xk = (1−qk)dk+qkκ1(dk),

(10)
( q , x k ) = ( 1 q k ) ( q , d k ) + q k ( q , κ 1 d k ) .

As (q,dk),(q,κ1dk) ∈ η(G) and also by coordinate convexity (q,xk) ∈ η(G) that implies (q,κ1xk),(q,κ2xk) ∈ η(G). It gives (q,κ2ck) ∈ η(G).

Furthermore, let yk = (1 − sk1(dk) + skκ2(ck)).

Consider

(11)
( q , y k ) = ( 1 s k ) ( q , κ 1 , d k ) + s k ( q , κ 2 c k ) .

We have (κ1dk),(q,κ2ck) ∈ η(G) and also by coordinate convexity (q,yk) ∈ η(G), we get (q,κ2yk) ∈ η(G), which is due to edge preserving property of κ2. Also, by taking bk = κ2(yk) where yk = (1 − sk1(dk) + skκ2(ck)), we conclude that (q,bk) ∈ η(G). We know ρk+1 = κ1bk, and also we have (q,bk) ∈ η(G), thus edge-preserving property implies,

(q,κ1bk) ∈ η(G), and hence (q,ρk+1) ∈ η(G). Further,

(12)
( q , d n ) = ( 1 r n ) ( q , ρ n ) + r n ( q , κ 2 ρ n ) .

Similarly, (q,ρn),(q,κ2ρn) ∈ η(G) and also by coordinate convexity (q,dn) ∈ η(G) that implies (q,κ2dn) ∈ η(G), which is due to edge preserving property of κ2. Take cn = κ2(xn) where xn = (1 − qn)dn + qnκ1(dn)

(13)
( q , x n ) = ( 1 q n ) ( q , d n ) + q n ( q , κ 1 d n ) .

Proceeding in the same way as above, we have (q,dn),(q,κ1dn) ∈ η(G) and coordinate convexity implies (q,xn) ∈ η(G) which gives (q,κ1xn),(q,κ2xn) ∈ η(G). Hence (q,κ2cn) ∈ η(G). Consider yn = (1 − sn1(dn) + snκ2(cn)).

And

(14)
( q , y n ) = ( 1 s n ) ( q , κ 1 d n ) + s n ( q , κ 2 c n ) .

Again (κ1dn),(q,κ2cn) ∈ η(G) and by coordinate convexity (q,yn) ∈ η(G) we get (q,κ2yn) ∈ η(G), which is due to edge preserving property of κ2. Also, by taking bn = κ2(yn) where yn = (1 − sn1(dn) + snκ2(cn)), we conclude that (q,bn) ∈ η(G).

Further ρn+1 = κ1bn, we prove already that (q,bn) ∈ η(G). So by edge-preserving property, (q,κ1bn) ∈ η(G), which gives (q,ρn+1) ∈ η(G).

From the above, we can conclude that

( q , ρ n ) , ( q , b n ) , ( q , c n ) , ( q , d n ) , ( q , ρ n + 1 ) η ( G ) , n N .

In the same way, we have

( ρ n , q ) , ( b n , q ) , ( c n , q ) , ( d n , q ) , ( ρ n + 1 , q ) η ( G ) , n N .

By using transitive property of D, we conclude

( ρ n , b n ) , ( ρ n , c n ) , ( ρ n , d n ) , ( ρ n , ρ n + 1 ) η ( G ) , n N .

Lemma 3.1. Assume that conditions (Beg et al., 2022; Abed and Hasan, 2019; Ameer et al., 2020; Aoyama and Kohsaka, 2011) are satisfied then the following statements are true:

  • i. lim n→∞ρnι∥ exists where ιF(κ).

  • ii. {ρn} is bounded and lim n→∞ ∥κ1ρnρn∥ = 0 = lim n→∞ ∥κ2ρnρn∥.

Proof. Since pF1) ∩ F2) and (q,ρ1),(ρ1,q) ∈ η(G), by Proposition 3.1, we have

(ρn,q),(cn,q),(dn,q),(bn,q) ∈ η(G). Since (ρn,q) ∈ η(G) and κ2p = p and κ2 is a Garcia-Falset mapping with graph. Also, let ιF(κ). Since κ1 and κ2 are two quasi-nonexpansive mappings, by Proposition 2.1, (7) and using algorithm (1), we have

(15)
d n ι = ( 1 r n ) ρ n + r n + κ 2 ( ρ n ) ι ( 1 r n ) ρ n ι + r n κ 2 ( ρ n ) ι ( 1 r n ) ρ n ι + r n λ κ 2 ( ι ) ι + ( ρ n ) ι ( 1 r n ) ρ n ι + r n ρ n ι = ρ n ι .

Using (15), since (dn) ∈ η(G) and κ1ι = κ2ι = ι and κ1,κ2 are two Garcia-Falset mappings with graph, we obtain

(16)
c n ι = κ 2 ( ( 1 q n ) d n + q n κ 1 ( d n ) ) ι d n ι .

Using (15), we have

(17)
c n ι ρ n ι .

Applying (17), (cn) ∈ η(G) and κ1ι = κ2ι = ι, also κ1,κ2 are two Garcia-Falset mappings endowed with graph, this implies

b n ι = κ 2 ( ( 1 s n ) κ 1 d n + s n κ 2 ( c n ) ) ι ( 1 s n ) d n ι + s n c n ι .

From equations (17) and (15), we get

(18)
b n ι = ( 1 s n ) ρ n ι + s n ρ n ι ρ n ι .

Consequently, from (18), as (bn) ∈ η(G) and κ1ι = ι and κ1 is Garcia-Falset mapping with graph, we get

ρ n + 1 ι = κ 1 b n ι b n ι

Equation (18) implies

(19)
ρ n + 1 ι ρ n ι ,

which means {∥ρnι∥} is decreasing and bounded for each ιF(κ).

This yields that lim n→∞ρnι∥ exists.

Proof of part (ii):

Since F1) ∩ F2) ̸= ∅ and (ρ1,q),(q,ρ1) ∈ η(G). Thus, from Proposition 3.1, we have

( ρ n , q ) , ( c n , q ) , ( d n , q ) , ( b n , q ) , ( ρ n , b n ) , ( ρ n , c n ) , ( ρ n , d n ) η ( G ) .

We can see from part (i) that limit of lim n ρnι∥ exist and {ρn} is bounded. Let

lim n ρ n ι = l .

Also

(20)
κ 1 ρ n ι ρ n ι

(21)
limsup n κ 1 ρ n ι limsup n ρ n ι 1.

Similarly,

κ 2 ρ n ι ρ n ι

(22)
limsup n κ 2 ρ n ι limsup n ρ n ι l .

From (15), (17), (18) and (20), we have

(23)
limsup n d n ι limsup n ρ n ι   l ,  

(24)
limsup n c n ι limsup n ρ n ι   l ,  

(25)
limsup n b n ι limsup n ρ n ι   l ,  

(26)
ρ n + 1 ι = κ 1 b n ι b n ι .

Taking liminf ,   n we have

(27)
l liminf  n b n ι .

Using (25) and (27)

(28)
lim n b n ι = l .

Thus we have,

lim n κ 2 ( ( 1 s n ) κ 1 d n + s n κ 2 c n ) ι = 1 ,

(29)
limsup n ( 1 s n ) κ 1 d n ι + s n κ 2 c n ι = l .

Using modified AA-iterative scheme

d n ι = ( 1 r n ) ρ n + r n κ 2 ( ρ n ) ι ρ n ι .

As κ1 is graphical Garcia-Falset mapping, so

κ 1 d n ι d n ι ρ n ι .

(30)
limsup n κ 1 d n ι limsup n ρ n ι = l .

Moreover, κ2 is the graphical Garcia-Falset mapping, so

(31)
κ 2 c n ι c n ι ρ n ι limsup n κ 2 d n ι limsup n ρ n ι = l .

By using (29), (30), (31) on Lemma 2.1, we have

(32)
κ 1 d n κ 2 c n = 0.

Using a modified AA-iterative scheme and graphical Garcia-Falset mapping,

lim n ρ n + 1 k 1 d n = lim n κ 1 b n k 1 d n lim n d n ι + lim n d n ι 2 lim n ρ n ι l .

Similarly,

l liminf n c n ι lim n c n 1 ι = l l liminf n d n ι lim n d n ι = l .

Moreover,

l lim n d n ι lim n ρ n ι l .

Thus,

(33)
lim n d n ι = l .

By part (i) and Equations (20), (22) and (33), we get

lim n ρ n κ 2 ρ n = 0.

Similarly by part (i) and Equations (20), (21) and (33), we get

lim n ρ n κ 1 ρ n = 0.

Theorem 3.1. Suppose B is satisfying conditions (Beg et al., 2022; Abed and Hasan, 2019; Ameer et al., 2020; Aoyama and Kohsaka, 2011) and Opial’s condition then {ρn} converges weakly to common fixed point of κ1 and κ2 with ∅ F(κ) = F1) ∩ F2).

Proof. Since ∅ F(κ). Suppose ι is fixed point of κ. From Lemma 3.1, lim n ρnι∥ exists. Let {ρni} and

{ρnj} be subsequences weakly converging to ρ1 and ρ2 respectively. By Lemma 3.1, lim n ρn − κ1ρn∥ =

0 = ∥ρn − κ2ρn, I − κ1 and I − κ2 at zero yields,

(I −κ1)ρ1 = 0, i.e. κ1ρ1 = ρ1 and κ2ρ1 = ρ1. This implies ρ1F(κ). In similar manner, (I −κ1)ρ2 = 0, i.e. κ1ρ2 = ρ2 and κ2ρ2 = ρ2 i.e. ρ2F(κ). Therefore ρ1 and ρ2 are fixed points of κ1 and κ2. To show uniqueness, when ρ1 ρ2. By Opial’s condition, we get

lim n ρ n ρ 1 = lim n ρ n i ρ 1 < lim n ρ n i ρ 2 = lim n ρ n ρ 2 = lim n j ρ n j ρ 2 < lim n j ρ n j ρ 1 = lim n ρ n ρ 1 ,

a contradiction. Hence ρ1 = ρ2. This implies, {ρn} converges weakly to a fixed point of κ.

Next, we prove some weak convergence results of 1 to common fixed points of two graphical Garcia-Falset mappings in B by replacing Opial’s condition with the Frechet differential norm.

Theorem 3.2. Suppose B has Frechet differential norm and conditions (Beg et al., 2022; Abed and Hasan, 2019; Ameer et al., 2020; Aoyama and Kohsaka, 2011) are satisfied. Let lim n→∞n+ (1−t)ab∥ be exists for each a,bF(κ). In addition, consider demiclosedness of I −κ1 and I −κ2 at zero. Then {ρn} converges weakly to a fixed point of κ1 and κ2 with ∅ ̸= F(κ) = F1) ∩ F2).

Proof. Let ι1 and ι2 be weak limits of ρ n i and ρ n j respectively. Since, lim n→∞ρn − κρn∥ = 0. Also, we have (ρ1,q),(q,ρ1) ∈ η(G). Demiclosedness of I − κ at zero implies ι12F(κ). Replacing p and q with ab and t(ρna) with respectively in (3), then we have

1 2 a b 2 + t ρ n a , K ( a b ) 1 2 t ρ n + 1 t a b 2   1 2 a b 2 + t ρ n a , K ( a b ) + f t ρ n a .

From the given constraint, we have

1 2 a b 2 + t lim sup n ρ n a , K a b 1 2 lim n t ρ n + 1 t a b 2 1 2 a b 2 + t lim inf n ρ n a , K a b + O t .

Therefore,

lim sup n ρ n a , K a b lim inf n ρ n a , K a b + O t t .

Applying t → 0+, we obtain existence of lim n ρna,K(ab)⟩. Let ⟨ι1a,K(ab)⟩ = e and ⟨ι2a,K(ab)⟩ = e. Consequently, ⟨ι1ι2,K(ab)⟩ = 0 ∀a,bF(κ). This implies

ι i ι 2 2 = < ι 1 ι 2 , K ( ι 1 ι 2 ) > = 0 ,

which cannot be true unless ι1 = ι2. Then ρn weakly converges to a common fixed point of κ1 and κ2.

Theorem 3.3. If conditions (Beg et al., 2022; Abed and Hasan, 2019; Ameer et al., 2020; Aoyama and Kohsaka, 2011) are satisfied then {ρn} converges to a fixed point of κ iff liminf  n d(ρn,F(κ)) = 0 or limsup  n d(ρn,F(κ)) = 0, with d(ρn,F(κ)) = inf (∥ρnι∥) and ιF(κ).

Proof. Suppose lim n ρn = ι where ιF(κ), then we are done.

Conversely, let liminf  n d(ρn,F(κ)) = 0. From Lemma 3.1, we have lim n ρnι∥ exists for every ιF(κ). By our supposition,

liminf  n d ( ρ n , F ( κ ) ) = 0.

Since liminf  n d(ρn,F(κ)) = 0, for κ > 0, there exists n0 +, such that

d ρ n , F κ < κ 2 , inf  d ρ n , ι < κ 2 , where   ι F κ .

This implies there is some ιF(κ) such that

ρ n 0 ι < κ 2 .

For m,nn0,

ρ m + n ρ n ρ m + n ι + ρ m + n ι ρ n 0 ι + ρ n 0 ι = 2 ρ n 0 ι = κ ,

which means {ρn} is Cauchy sequence in A. Since A is closed so there exist sA, such that lim  n ρn = s.

Also, liminf  n d(ρn,F(κ)) = 0. Therefore, sF(κ).

Theorem 3.4. If conditions (Beg et al., 2022; Abed and Hasan, 2019; Ameer et al., 2020; Aoyama and Kohsaka, 2011) are satisfied then {ρn} converges strongly to ιF(κ).

Proof. Suppose F(κ) , from Lemma 3.1, we have lim n→∞ρn − κ1ρn∥ = 0 = lim n→∞ρn − κ1ρn∥.

By compactness of A, there is a subsequence { ρ n k } of ρn such that ρ n k ι where ιA. Using the Garcia-

Falset property, we have

ρ n k κ 1 ρ v ρ n k k 1 ρ n k + ρ n k ι .

Applying limit when k → ∞, we have ∥ ρ n k − κ1ι∥ = 0.

So, we get ρ n k → κ1ι. Hence κ1ι = ι, i.e. ιF1). Similarly, κ2ι = ι, i.e. ιF2). Consequently, by Lemma 3.1, lim n→∞ρnι∥ exists where ιF(κ) = F1) ∩ F2), thus {ρn} → ι.

The following result is a strong convergence result in which we use Condition(I′′).

Theorem 3.5. If conditions (Beg et al., 2022; Abed and Hasan, 2019; Ameer et al., 2020; Aoyama and Kohsaka, 2011) satisfy then {ρn} converges strongly to ιF(κ) = F1)∩F2), where both Garcia-Falset mappings κ1,κ2 satisfy the Condition(I′′).

Proof. Suppose ιF(κ). Using Lemma 3.1, lim n→∞ρnι∥ exists ∀ιF(κ). Further

ρ n + 1 ι ρ n ι , n N .

This implies

d ( ρ n + 1 , F ) d ( ρ n , F ) .

Thus by Lemma 3.1, lim n→∞ d(ρn,F) exists. From Lemma 3.1, we have

lim n ρ n κ 1 ρ n = 0 = lim ρ n κ 2 ρ n .

Using Condition (I′′), we have

lim n h ( d ( ρ n , F ) ) = 0

Considering properties of h, we get

lim n d ( ρ n , F ( κ 1 ) ) = 0.

We can also show

lim n d ( ρ n , F ( κ 2 ) ) = 0.

Since Theorem 3.3 conditions are fully met, we deduce that {ρn} converges strongly to ιF(κ) = F1) ∩ F2).

4. Example and numerical experiments

Example 4.1. Suppose B = R 2 and A = { ψ = ( ψ 1 , ψ 2 ) | ( ψ 1 , ψ 2 ) [ 0 , ) × [ 0 , ) } B endowed with norm defined as ψ = | ψ 1 | + | ψ 2 | . Also D = ( u ˜ ( G ) , η ( G ) ) is a digraph with V = A and ( ψ , b ˜ ) = ( ( ψ 1 , ψ 2 ) , ( b ˜ 1 , b ˜ 2 ) η ( G ) if and only if ( 0 , 0 ) ψ b ˜ 1 2 , 1 2 η ( G ) or ψ = b ˜ A . Then η G is coordinate convex and { ψ , ψ | ψ A } η G .

Consider κ1,κ2 on A defined as:

κ 1 ψ 1 , ψ 2 = 5 + ψ 1 9 , 5 + ψ 2 9 if ψ 1 , ψ 2 0 , 1 2 × 0 , and 1 + ψ 1 2 , 1 + ψ 2 2 , if   ψ 1 , ψ 2 1 2 , × 0 , , κ 2 ψ 1 , ψ 2 = 3 + ψ 1 5 , 3 + ψ 2 5 , if ψ 1 , ψ 2 0 , 1 2 × 0 , and 9 + ψ 1 10 , 9 + ψ 2 10 , if   ψ 1 , ψ 2 1 2 , × 0 , .

Indeed, by considering 0 ψ b ˜ 1 2 η G   or ψ = b ˜ A , if ψ , b ˜ η G ) then κ i ψ , κ i b ˜ η G ) , where i = 1 , 2. Thence, κ i preserve edges.

By considering ψ = 1 3 , 0 and b ˜ = (0.45,0), we can easily demonstrate that neither κ1 nor κ2 are nonexpansive.

Case-1: If ψ , b ˜ 0 , 1 2 × 0 , , then

ψ κ 1 b ˜ = ψ 1 5 + b ˜ 1 9 ,   ψ 2 5 + b ˜ 2 9 = 1 9 9 ψ 1 b ˜ 1 5 + 9 ψ 2 b ˜ 2 5

Also

ψ κ 1 ψ + ψ b ˜ = ψ 1 5 + ψ 1 9 , ψ 2 5 + ψ 2 9 + ψ 1 b ˜ 1 , ψ 2 b ˜ 2 = ψ 1 5 + ψ 1 9 + ψ 2 5 + ψ 2 9 + ψ 1 b ˜ 1 + ψ 2 b ˜ 2 .

We have to show

(34)
1 9 9 ψ 1 b ˜ 1 5 + 9 ψ 2 b ˜ 2 5 ψ 1 5 + ψ 1 9 + ψ 2 5 + ψ 2 9 + ψ 1 b ˜ 1 + ψ 2 b ˜ 2 .

We’ll split the inequality (34) into two parts and then prove it graphically.

1 9 9 ψ 1 b ˜ 1 5 ψ 1 5 + ψ 1 9 + ψ 1 b ˜ 1 1 9 9 ψ 2 b ˜ 2 5 ψ 2 5 + ψ 2 9 + ψ 2 b ˜ 2 .

Case-2: If ψ , b ˜ 1 2 , × 0 , , then

ψ κ 1 b ˜ = 1 2 2 ψ 1 b ˜ 1 1 + 2 a ˜ 2 b ˜ 2 1 .

By applying the same approach as in Case 1, we derive the following inequalities.

1 2 2 ψ 1 b ˜ 1 1 ψ 1 1 + ψ 1 2 + ψ 1 b ˜ 1 1 2 2 ψ 2 b ˜ 2 1 ψ 2 1 + ψ 2 2 + ψ 2 b ˜ 2 .

Case-3: If ψ 0 , 1 2 × 0 , and b ˜ 1 2 , × 0 , , then

ψ κ 1 b ˜ = 1 2 2 ψ 1 b ˜ 1 1 + 2 a ˜ 2 b ˜ 2 1 .

Following the method outlined in Case 1, the resulting inequalities are as follows.

1 2 2 ψ 1 b ˜ 1 1 ψ 1 5 + ψ 1 9 + ψ 1 b ˜ 1 1 2 2 ψ 2 b ˜ 2 1 ψ 2 5 + ψ 2 9 + ψ 2 b ˜ 2 .

Case-4: If ψ 1 2 , × 0 , and b ˜ 0 , 1 2 × 0 , , then

ψ κ 1 b ˜ = 1 9 9 ψ 1 b ˜ 1 5 + 9 a ˜ 2 b ˜ 2 5 .

Using the procedure above, we arrive at the following set of inequalities

1 9 9 ψ 1 b ˜ 1 5 ψ 1 1 + ψ 1 2 + ψ 1 b ˜ 1 1 9 9 ψ 2 b ˜ 2 5 ψ 2 1 + ψ 2 2 + ψ 2 b ˜ 2 .

Similarly, we can show that mapping κ2 is also a Garcia-Falset mapping. For this reason, the following inequalities will occur in all cases:

Case-1: If ψ , b ˜ 0 , 1 2 × 0 , , then

1 5 5 ψ 1 b ˜ 1 3 ψ 1 3 + ψ 1 5 + ψ 1 b ˜ 1     1 5 5 ψ 2 b ˜ 2 3 ψ 2 3 + ψ 2 5 + ψ 2 b ˜ 2 .

Case-2: If   ψ , b ˜ 1 2 , × 0 , , then

(50)
1 10 10 ψ 1 b ˜ 1 9 ψ 1 9 + ψ 1 10 + ψ 1 b ˜ 1 1 10 10 ψ 2 b ˜ 2 9 ψ 2 9 + ψ 2 10 + ψ 2 b ˜ 2 .

Case-3: If ψ 0 , 1 2 × 0 , , and b ˜ 1 2 , × 0 , , then

1 10 10 ψ 1 b ˜ 1 9 ψ 1 3 + ψ 1 5 + ψ 1 b ˜ 1 1 10 10 ψ 2 b ˜ 2 9 ψ 2 3 + ψ 2 5 + ψ 2 b ˜ 2 .

Case-4: If ψ 1 2 , × 0 , , and b ˜ 0 , 1 2 × 0 , , then

1 5 5 ψ 1 b ˜ 1 3 ψ 1 9 + ψ 1 10 + ψ 1 b ˜ 1 1 5 5 ψ 2 b ˜ 2 3 ψ 2 9 + ψ 2 10 + ψ 2 b ˜ 2 .

Thus, we conclude that κ1 and κ2 are G-nonexpansive Garcia Falset mappings with common fixed point F1) ∩ F2) = (1,1) ∅.

From Fig. 1, we observe that the graphs corresponding to cases 1-3 are identical despite the differing inequalities, while the graph for case-4 shows a distinct pattern. A similar observation holds for the graphs in Fig. 2.

Graphs of inequalities for Example 4.1 for κ1: (a) Case-1 of κ1, (b) Case-2 of κ1, (c) Case-3 of κ1, (d) Case-4 of κ1.
Fig. 1.
Graphs of inequalities for Example 4.1 for κ1: (a) Case-1 of κ1, (b) Case-2 of κ1, (c) Case-3 of κ1, (d) Case-4 of κ1.
Graphs of inequalities for Example 4.1 for κ2: (a) Case-1 of κ2, (b) Case-2 of κ2, (c) Case-3 of κ2, (d) Case-4 of κ2.
Fig. 2.
Graphs of inequalities for Example 4.1 for κ2: (a) Case-1 of κ2, (b) Case-2 of κ2, (c) Case-3 of κ2, (d) Case-4 of κ2.

We have compared the modified AA-iterative scheme with the Picard-Mann, Liu et al.’s, and Thakur’s modified iterative schemes to check the error analysis of the modified AA-iterative scheme with a stopping criterion 10−6. After examining Fig. 3, we can conclude that the modified AA-iterative scheme attains this criterion at the fourth iteration, while other schemes take more than 20 iterations.

Error analysis of modified AA−iterative scheme with Thakur, Liu, Picard-Mann Hybrid.
Fig. 3.
Error analysis of modified AA−iterative scheme with Thakur, Liu, Picard-Mann Hybrid.

5. Application of the solution to the nonlinear Fredholm integral equation equipped with a graph

This section aims to prove that the nonlinear Fredholm integral equations system has a common solution.

Theorem 5.1. Suppose B = C[a,b] is a Banach space of continuous functions with norm defined as ∥u u ˜ = sup t∈[ a,b] |u(t) − u ˜ (t)| and B is equipped with graph G = {(u, u ˜ ) ∈ B × B |u(t) < u ˜ (t)}. Consider the following Fredholm’s integral equations system

(35)
u t = ξ t + a b γ 1 t , r , u r d r and u ˜ t = ξ t + a b γ 2 t , r , u ˜ r d r ,

where a,b ∈ R satisfying a < b and ξ : [a,b] → R. Also, γ12 are continuous mappings defined as: γ12 : [a,b]2 × R → R. Let the following assumptions hold:

  • i. The mappings S1,S2 : C[a,b] → C[a,b]

      S 1 u t = ξ t + a b γ 1 t , r , u r d r and S 2 u ˜ t = ξ t + a b γ 2 t , r , u ˜ r d r ,   u , u ˜ C a , b  and  t a , b ,  

are continuous.

  • ii. γ 1 t , r , u r γ 2 t , r , u ˜ r u t u ˜ t b a             t , r a , b ,

then the system of equations (36) possesses common solution.

Proof. Consider

u t S i u ˜ t = ξ t + a b γ i t , r , u r d r ξ t a b γ i t , r , u ˜ r d r | a b | γ i t , r , u r γ i t , r , u ˜ r | d r b a u u ˜ b a = u u ˜ u u ˜ + λ u S i u ,

where λ ≥ 1. Now. applying sup t∈[ a,b], we get

uSi u ˜ ∥ ≤ ∥u u ˜ ∥ + λuSiu∥.

Therefore, S1 and S2 meet Theorem 3.1 condition (1). It follows that S1 and S2 possess a common fixed point in C[a,b] because all the requirements of Theorem 3.1 are met. This means that there is a common solution for the system (35) of nonlinear Fredholm integral equations.

Example 5.1. Consider following Fredholm’s integral equations system

(36)
u t = t 2 + 0 1 t cos ( u ( r ) ) 2 d r   and u ˜ t = t 2 + 0 1 t cos ( u ˜ ( r ) ) 2 d r .

Assume B = C[0,1] is Banach space with sup norm. Let B is equipped with graph G = { u , u ˜ B × B | u t < u ˜ t } and t , r 0 , 1 , clearly,   γ 1 = t cos ( u ( r ) ) 2 and γ 2 = t cos ( u ˜ ( r ) ) 2 are continuous.

Consider

γ 1 t , r , u r γ 2 t , r , u ˜ r = t cos ( u r ) 2 t cos ( u ˜ r ) 2 | t 2 | cos ( u r ) cos ( u ˜ r ) | t 2 u r u ˜ r , u r u ˜ r .

This means condition (ii) of Theorem 5.1 is satisfied. Similarly, we can show for γ 2 . Thus, all conditions of Theorem 5.1 are satisfied. This means that there is a common solution for the system (36) of nonlinear Fredholm integral equations.

6. Discussion

It is not possible to reduce the modified AA-iterative method to the Picard, Mann, Ishikawa, or Picard-Mann hybrid iterative method. Rather than being a simple generalization, the modified AA-iterative scheme is a novel approach that significantly extends these schemes. The modified AA-scheme, which involves multiple parameters, converges faster or more reliably than existing iterative methods. κ1 and κ2 mappings, identified as Garcia-Falset mappings, are broader than non-expansive mappings with property C, α-nonexpansive mappings, and α - β nonexpansive mappings, thereby generalizing the existing literature. Additionally, the incorporation of coordinate convexity with directed graphs introduces novelty to the study and extends the results of these mappings beyond those found in previous works, such as in (Yambangwai and Thianwan, 2024).

7. Conclusion

This study establishes the existence of a common solution of the system of nonlinear Fredholm integral equations. For this purpose, we studied on common fixed point for mappings satisfying G - F property on a uniformly convex Banach space with digraph G. We prove the convergence results of the modified AA-iterative scheme by using coordinate convexity, which is weaker than convexity. We present an example to validate our results for such mappings and compare convergence analysis of modified AA-iterative schemes with Picard-Mann, Liu et al.’s and Thakur’s modified iterative schemes.

Acknowledgement

The authors are thankful to the reviewers for their useful comments and constructive remarks, which helped to improve the presentation of the paper.

CRediT authorship contribution statement

Hina Dilawer, Rizwan Anjum, Hira Iqbal, Mi Zhou: Conceptualization; Hina Dilawer, Rizwan Anjum, Hira Iqbal, Mi Zhou: Formal analysis; Rizwan Anjum, Hira Iqbal, Mi Zhou: Investigation; Hina Dilawer, Rizwan Anjum, Hira Iqbal, Mi Zhou: Writing Original Draft Preparation; Mi Zhou: Writing review and editing; Mi Zhou: Funding Acquisition. All authors reviewed and gave their approval for the final manuscript.

Declaration of competing interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Declaration of Generative AI and AI-assisted technologies in the writing process

The authors confirm that there was no use of Artificial Intelligence (AI)-Assisted Technology for assisting in the writing or editing of the manuscript and no images were manipulated using AI.

Funding

This research was partially funded by Sanya City Science and Technology Innovation Special Project (Grant No. 2022KJCX22).

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