Abstract
We investigate the existence of solutions for the Fredholm integral equation for , in the setting of the modular function spaces . We also derive an application of this research within the framework of variable exponent Lebesgue spaces subject to specific conditions imposed on the exponent function and the functions and .
1. Introduction
This work is devoted to the study of the Fredholm equation
for . Our main result is Theorem 2, in which it is proved that, under certain conditions, the equation has a solution in a suitable space.
As we shall see, the problem under consideration is modular in nature; therefore, in order to properly formulate it a brief discussion of the modular space setting is indispensable. One of the most conspicuous modular spaces in analysis due to their proximity to the classical Lebesgue spaces, are the variable-exponent spaces. For this reason, after analyzing the general modular case, we place special emphasis on the variable exponent case in the last section of our paper. The modular approach has the advantage of avoiding the use of the Luxemburg norm and potentially, it is more friendly for the implementation of numerical algorithms.
Modular function spaces constitute a foundational concept in the area of mathematics known as functional analysis [1,2,3]. They provide a flexible framework for investigating the characteristics of functions and their interactions with diverse mathematical and physical structures [4,5]. Within these spaces lies a rich assortment of tools and methodologies, which serve as valuable resources for comprehending functions defined across various domains; see for example [6,7]. This paves the path towards attaining deeper insights into the essence of functions, their inherent properties, and their intricate connections with other mathematical entities. In this introductory exploration, we shall delve into the core essence of modular function spaces, underscore their profound significance, and illuminate their pivotal role across multiple branches of mathematics, encompassing areas such as analysis, topology, and functional analysis. Throughout, we will unravel the salient features and practical applications of these spaces, thus shedding light on how they empower mathematicians to confront intricate challenges, construct rigorous proofs, and cultivate a heightened comprehension of the intricate universe of functions and their associated spaces.
Modular function spaces, in particular variable exponent Lebesgue spaces, are two intriguing and complementary facets of modern functional analysis. Modular function spaces, in general, provide a structured environment for studying functions and their interactions with mathematical structures, offering a versatile toolkit for analysis across different domains. On the other hand, variable exponent Lebesgue spaces introduce adaptability by allowing the exponent in the Lebesgue norm to vary, enabling the study of functions with varying regularity. Together, these two concepts represent a dynamic duo in mathematical research, offering a comprehensive framework that combines versatility with adaptability. They find applications in a wide array of fields, including partial differential equations, image processing, and functional analysis, providing researchers and practitioners with powerful tools to explore complex and changing phenomena in both theoretical and practical contexts; see [4,8,9,10] with more references therein.
The aim of this study is to investigate the existence of solutions for Fredholm equations within the domain of continuous functions that take values in modular function spaces. Numerous studies have previously addressed integral equations for -continuous functions from the interval into employing methodologies like degree theory for condensing mappings and the Brouwer fixed-point theorem for continuous functions, as indicated in the references [11]. Significantly, the Banach fixed-point theorem for the contraction mappings has been utilized by various authors [12,13,14,15] to address integral equations within modular function spaces, while considering the condition . We will conclude our work by extending the main result to the case of variable exponents spaces.
2. Modular Spaces
Fredholm integral equations arise in functional analysis from the need to describe a wide range of physical phenomena as well as mathematical problems. They are named after the Swedish mathematician Erik Ivar Fredholm [16], who made significant contributions to the theory in the late 19th and early 20th centuries.
The difficulty in dealing with Fredholm integral equations arises from the fact that the unknown function is affected by an integral operator; the primary goal is to find a function that satisfies the equation in general Banach spaces. Our primary emphasis in the present work is on investigating solutions within modular spaces and variable exponent Lebesgue spaces for a particular Fredholm integral equation:
In a general context, it is important to note that this equation may not possess a solution. For further insights, we refer to [10]. For foundational definitions and essential properties related to modular function spaces, we direct the reader to [4,6,10]. Throughout, we employ the notation to denote the set of Lebesgue measurable functions defined on .
In an effort to address potential concerns related to redundancy and to provide a solid groundwork in the realm of modular spaces, we refer the readers to the comprehensive works authored by Khamsi [6] and Diening [4]. These sources serve as foundational references. In what follows, we will introduce and elaborate in detail on two fundamental definitions central to our study: the concept of a modular function and the essential -type condition. Equipped with these two tools we will then undertake the analysis of the Fredholm equation under consideration.
Definition 1
([6,10]). We define a convex regular modular function as a mapping that satisfies the following conditions:
- (1)
- if and only if .
- (2)
- , for .
- (3)
- , for any ,
where .
For a comprehensive understanding of the topological definition and properties of the convex regular modular function , we suggest consulting the following references [6,7,10]. An important property in modular functional spaces, referred to as -type condition, is defined below.
Definition 2
([10]). We say that the modular ρ satisfies the -type condition if there is a positive constant such that for all , the inequality holds true.
This specific property holds great significance in the analysis of modular function space. It is important to emphasize that when the modular function adheres to the -type condition, then:
Under these circumstances, it is easily noted that
for any .
In the upcoming section, we will undertake the study of the solvability of nonlinear Fredholm equations. We will consider solutions within the space of -valued -continuous functions defined over the interval [0, 1]. This exploration will also involve the introduction of a Poincaré operation within an appropriate mathematical framework, substantiated by rigorous functional analytic proofs.
3. Solvability of Nonlinear Fredholm Equations on
Since, as was highlightted before, Fredholm equations arise from practical considerations while studying concrete problems in various scientific disciplines, such as physics, engineering, economics, and biology (see for example [17,18]), it is not surprising that their solvability is of the utmost interest both in mathematics and applications. In particular, nonlinear Fredholm equations involve nonlinear operators, making their analysis more elusive and, in cases where they can be solved, significantly more challenging. The study of their solvability requires advanced mathematical techniques, such as fixed-point theory, functional analysis, and integral operators. Several authors have developed various numerical methods and analytical tools to tackle these equations, providing valuable insights into the behavior of their solutions [10,11]. Understanding the solvability of nonlinear Fredholm equations is crucial for modeling complex phenomena and making informed decisions in diverse fields [19].
Throughout this section, we denote by and . This section deals with the solvability of the Fredholm integral equation within the framework of modular function spaces :
where , and .
We start by revisiting the concept of -continuity as defined in references [10,14,15] and establishing some notation. Let represent the set of functions that are continuous with respect to , mapping from the interval to . Furthermore, we define , by
where .
For any nonempty subset , we denote by the set of functions , for which . As established in [15], it becomes evident that is a convex modular with both the Fatou property and the -type condition. Furthermore, is -complete, and , assuming satisfies the -type condition and B is a nonempty convex subset of that is also -closed, forms a -closed, convex subset of .
Now, we can proceed to define the Luxemburg norm for as follows:
Given our assumption that adheres to the -type condition, we can establish the supremum norm for an element as follows:
Prior to presenting the primary theorem, we will introduce a crucial lemma regarding the equivalence of the convergence in the Luxemburg norm , the supremum norm , and the modular function . For further details, we refer to [14].
Lemma 1
([14]). Assuming ρ is a convex, regular modular function that meets the -type condition, and considering a sequence in along with , the following statements are equivalent:
- (a)
- ,
- (b)
- ,
- (c)
- .
Let , , and such that for each , , and
- (H1)
- is Lebesgue measurable over [0,1];
- (H2)
- is in ;
- (H3)
- and are -strongly continuous with respect to the first variable, i.e.,where the supremum is taken for and in and , where B is any nonempty -bounded subset of .
In the context of the Fredholm integral Equation (1) within the modular function space , we introduce the integral operator , which is defined as follows:
It is evident that the solutions to (3) correspond precisely to the fixed points of , i.e., to those functions such that . The proof of the main result requires the notion of complete continuity for mappings [20] and the use of Schaeffer’s fixed-point theorem, which we recall.
Theorem 1
([21,22,23]). Consider a normed space X and a continuous mapping T from X to itself, such that the closure of is compact for any bounded subset B of X. In this case, one of the following options or will necessarily hold, where:
- (i)
- The equation has a solution for ,
- (ii)
- The set of all such solutions x of , for some , is unbounded.
Now, we are prepared to present the principal result of our research.
Theorem 2.
Consider ρ a convex, regular modular function that satisfies the -type condition. Suppose that , and that possesses the following properties:
- (SC)
- and satisfy , , and ,
- (LC)
- There exist non-negative numbers and such that
- (BC)
- there exist non-negative numbers , , , and such that
for any and . Assume that . Then, (1) has a solution in .
Proof.
Along the same lines as in the proof of Theorem 5.2 in [10], it becomes evident that the operator maps into . In the first part of the proof, we show that is completely continuous with respect to the modular . To that effect, we choose the mesh points
where . Using assumptions, Fatou property, the -type condition, and the property (2), we obtain
for any , which implies
for any . This will imply that the operator is -continuous and that the image of any nonempty, -bounded subset of is -bounded. Consider a -bounded nonempty subset . Let us prove that is -relatively compact. Using the property (2), we have
for any in and . Since and satisfy , satisfies the -type condition, Lemma 1 allows us to conclude that the family is equicontinuous with respect to the Luxemburg norm . Using the Arzelà–Ascoli theorem, we conclude that is relatively compact with respect to the norm . Therefore, the operator is completely continuous with respect to . Next, we prove the existence of a fixed point for . Consider the set
We claim that S is -bounded. Indeed, the set S is nonempty, since it contains the zero function. Next, let . We have , for some , which implies
for any . By virtue of the Fatou property, one has
for any , which implies
Since , we obtain
Therefore, S is bounded with respect to . The -type condition forces S to be bounded for the associated Luxemburg norm. Schaeffer’s theorem will yield the existence of a fixed point of , which is a solution of the equation in . □
In the forthcoming section, we will explore the precise application of these theoretical concepts to variable exponent Lebesgue spaces. This examination will entail a detailed and systematic analysis of their implications and potential outcomes within the predefined context. Through a rigorous evaluation, we aim to illuminate the practical significance and consequences of applying these concepts to variable exponent Lebesgue spaces, thereby contributing valuable insights to the broader discourse in this field of study.
4. Application to Variable Exponent Lebesgue Spaces
In this section, we discuss the implications of Theorem 2 in the case of variable exponent Lebesgue spaces , whose definitions and basic properties we succinctly present next. For a more detailed study of these spaces, we suggest the references [4,24].
Let be a Lebesgue measurable function finite almost everywhere. Define
The variable exponent Lebesgue space is defined as
where denotes the space of all -valued, Lebesgue measurable functions on and
According to Definition 1, the functional defines a convex modular. The vector space may be endowed with the Luxemburg norm defined as:
Most of the nice properties, whether geometric or topological, of the Luxemburg norm necessitate the condition , which is equivalent to the condition, as pointed out below. For a more detailed discussion of this condition and its implications, the reader may consult [4,25]. For example, the Luxemburg norm is uniformly convex if and only if . Moreover, it is not hard to see that the -type condition holds for if and only if . Indeed, we have
for any , which implies . Next, we consider the Fredholm integral equation
for , , and . The existence of a solution of Equation (4) will follow along the same lines as those of the investigation developed in the previous section. First, we assume that the following conditions hold:
- (GC)
- There exists a constant and a non-negative function , such that for almost every and all , we have
- (FC)
- There exists a constant and a non-negative function , such that for each and all , we have
Let . Set
We assume
for some , which implies
for any , where . Moreover,
where , , , and . Also,
where , , and , which implies
Hence, if we have , Theorem 2 will imply that (4) has a solution in .
Note that the assumption will force and . In this case, we have
In the upcoming remarks, we will elucidate the critical significance of the size of the constant and the existence of the solution. Through our detailed analysis, we will underscore the profound impact these elements have on the overall outcomes of the study. This discussion will shed light on the nuanced complexities involved, offering a comprehensive understanding of the role played by the constant’s size and the presence of the solutions in shaping the theoretical framework of our work.
Remark 1.
Let us suppose that
where . We are looking at the existence of a non-negative solution of the following equation
in . In this case, we have and is a positive number. It is clear that Φ is a non-negative constant solution of (5) in . Equation (5) can be rewritten as
It is clear this equation will have no solution if and one solution if .
5. Discussion
In the context of variable exponent spaces, our paper delves into a specific area of study, focusing on the theoretical aspects within the space of . The exploration of this particular space has allowed us to uncover significant insights into solving a diverse range of functional differential equations. As we move forward, our research trajectory aims to expand upon these findings. In our future endeavors, we aspire to broaden the scope of our investigations, leveraging the general theory of semigroups. By incorporating this advanced theoretical framework, we anticipate addressing an even larger class of functional differential equations. This progression in our research not only signifies a natural evolution of our current work but also represents a crucial step toward comprehensively understanding the complexities inherent in variable exponent spaces. Our ongoing commitment to exploring these avenues underscores our dedication to advancing the broader knowledge base within this specialized domain.
Author Contributions
Conceptualization, M.B., M.A.K. and O.M.; methodology, M.B., M.A.K. and O.M.; writing—original draft preparation, M.B., M.A.K. and O.M.; writing—review and editing, M.B., M.A.K. and O.M. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Data Availability Statement
Not applicable.
Acknowledgments
The author extends his appreciation to the Researchers Supporting Project Number (RSPD2023R963) King Saud University, Riyadh Saudi Arabia.
Conflicts of Interest
The authors declare no conflict of interest.
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