1. Introduction and Preliminaries
Functional equations (FEs) are essential in various fields, especially in stability analysis. This analysis focuses on whether functions that nearly satisfy a given functional equation have exact solutions close to these approximate ones. S.M. Ulam [
1] was the first mathematician who proposed the following problem concerning the stability of FEs:
Problem 1. Let A be a group, and B be a metric group with the metric . Given , does there exist such that mapping satisfies the inequalitywith homomorphism with for all ? In 1941, D. H. Hyers [
2] presented a partial solution to a problem originally posed by Ulam [
1]. Hyers’ result specifically addressed scenarios in which both
A and
B are Banach spaces, and conditions
are met.
Theorem 1 ([
2])
. Let A and B be Banach spaces and . Suppose that the function fulfills the following assumption:for all then, there is function such thatAlso, is a unique additive function that satisfies Numerous researchers such as Hyers [
3], Moszner [
4,
5], Forti [
6,
7], Skof [
8], Tabor [
9], Volkmann [
10], and Gil’anyi et al. [
11] have made significant contributions to the theory of stability in mathematical analysis. Their research has advanced our understanding of the stability of functional equations across various mathematical structures, such as Banach spaces and groups.
Rassias [
12] established significant results concerning the generalized stability of functional equations by analyzing the behavior of the Cauchy difference. Our proposed findings build upon this foundational work and extend the understanding of stability in the context of norm-additive functional equations.
Theorem 2. Let A and B be Banach spaces. There exists positive value λ and . Assume that function from A to B is continuous in t for every fixed element x. Assume also that Then, there is a unique additive function that satisfiesfor every . Our study compares the classical stability results of functional equations by Hyers and Rassias with contemporary developments that involve groups and Banach spaces. The new results expand on previous methods by considering mappings from arbitrary groups to Banach spaces and employing a condition based on the supremum of differences. This approach introduces an innovative methodology for analyzing the stability of these mappings.
The findings of this study generalize and extend the stability results of Hyers and Rassias to arbitrary groups, enhancing our understanding of the behavior of functional equations within normed spaces. Furthermore, by incorporating hyperstability into the analysis, this work refines the conditions under which stability can be assured, enriching the broader framework of stability analysis in functional analysis.
Several prominent researchers have significantly contributed to the study of the following norm-additive functional equations:
(refer to the studies by R. Ger [
13,
14,
15], J. Aczél and J. Dhombres [
16], and J. Dhombres [
17] for related discussions). When function
satisfies Equation (1), it is referred to as a norm-additive functional equation (FE). M. Hosszu’s paper [
18] significantly inspired the study of this functional equation, particularly emphasizing alternative equation
.
Norm-additive functional Equation (1) is fundamental to stability analysis in functional equations. Intuitively, function , when applied to the sum of two elements g and h from a group, should yield a norm equivalent to the sum of the norms of the function applied to each element individually. This condition is essential for understanding the behavior of the function in additive contexts, which is crucial for many practical applications where linearity or near-linearity is presumed. In this framework, stability analysis explores the extent to which a function adheres to the norm-additive criterion. Throughout this work, we establish upper bounds on to identify the ideal additive function as defined by the functional equation.
Fischer and Muszély [
19] initially introduced norm-additive functional Equation (1) in the context of Hilbert spaces. This equation is notable for its ability to characterize convex spaces, as detailed in [
13]. When the target space is strictly convex, solution
to the Fischer–Muszély functional equation becomes additive.
R. Ger proposed a solution to norm-additive functional Equation (1) which maps from an abelian group to a normed space. For reference, see [
15]. It is evident that all solutions to norm-additive functional Equation (1) must be odd. However, the solutions to the following norm-additive functional equation differ in this regard.
The analysis of functional Equations (1) and (2) reveals that, in general, functional Equation (1) implies (2), but not necessarily the reverse. However, if mapping
is assumed to be an odd function, then (1) and (2) become mutually implicative. Tabor [
9] established that Equation (1) is stable under the assumption that the mapping is surjective.
Tabor [
9] examined the stability results of the functional equation originally studied by Fischer and Muszély.
Theorem 3. Let be a group and A be a Banach space. Suppose is a surjective mapping that satisfies inequalitythen, we obtain It is noteworthy that if G is an abelian group, or more generally an amenable group, then the combined application of Hyers’ Theorem and Theorem 3 ensures the stability of the Fischer–Muszély functional equation within the context of surjective mappings. A -surjective function from a nonempty set A to a Banach space B is defined as follows: for every , there exists an such that the distance between and y is less than , i.e., .
Using the concept of
-surjective mapping, Sikorska [
20] proposed the stability analysis of the norm-additive functional Equation (2) for an abelian group as follows:
Theorem 4. Let be an abelian group and A be a Banach space. If a δ-surjective mapping satisfies inequalitythen we have To gain a deeper understanding of the established theory of stability, we encourage readers to consult articles [
21,
22,
23,
24,
25,
26,
27,
28], as well as the references cited within those works. These resources provide comprehensive insights and foundational knowledge essential for a thorough grasp of the stability theory.
This research article extends the proposed results of J. Tabor [
9] and J. Sikorska [
20] by incorporating the results established by Lindenstrauss and Szankowski [
29]. Our approach includes taking advantage of Lindenstrauss and Szankowski’s results to derive relevant results in a more generalized setting via the large perturbation method (subject to the restriction of integral convergence).
Unlike the previous studies conducted by Hyers, Rassias, Tabor, and Sikorska, which were restricted to abelian groups or specific types of mappings, our work does not impose such limitations. Consequently, it addresses a broader and more complex set of conditions. The key advantages of our proposed approach are as follows:
By not restricting our analysis to abelian groups or linear mappings, our results are applicable to a broader range of mathematical and practical problems where the underlying algebraic structures are non-abelian.
Our proposed results provide conditions under which the mappings not only approximate an additive function but do so in such a manner that the error vanishes asymptotically as the norms of the arguments increase. This aspect is particularly important in applications involving large-scale structures, where asymptotic behaviors play a critical role.
The subsequent section employs a theorem presented by Lindenstrauss and Szankowski. This foundational result is pivotal in our analysis and derivation of the main findings.
Theorem 5. Suppose that is a surjective function, where A and B are Banach spaces. Assume that and define functionIf conditionholds, then there exists linear isometry such that Mapping is assumed to be surjective, significantly expanding the applicability of our results to a broader range of mathematical and applied problems. The critical novelty of our approach lies in applying the integral condition proposed by Lindenstrauss and Szankowski, which provides a powerful tool for establishing stability by the existence of a linear isometry that closely approximates the surjective function under study. This approach allows for us to extend the results by J. Tabor and J. Sikorska and to provide a more comprehensive understanding of the stability behavior of functional equations under more general and realistic conditions.
Dong and Zheng [
30] proved the stability of Cauchy’s additive function for the abelian group
assuming the condition of bijectivity.
Theorem 6. Let be a bijective function, where is an abelian group and E is a Banach space. If function satisfies inequalitythen χ is additive on G. In the context of a Banach space denoted as B, it is deemed to possess p-uniform convexity for all if there exists a positive constant M such that inequality holds true, where denotes the convexity modulus, under the condition that .
The following results are provided by L. Cheng et al. [
31] related to the concept of
p-uniformly convex spaces.
Theorem 7. Let be a function where A is a Banach space and B is a p-uniformly convex space such that . Define functionIf conditionholds, then there is linear isometry such that Function specified in the above Theorem 7 is said to be as coarse isometry and it can be seen that , .
Moreover, L. Sun et al. [
32] expanded upon the findings of Y. Dong [
30] by examining
B as a
p-uniformly convex space rather than a generalized Banach space. They utilized the work of L. Cheng et al. [
31] on the theory of
p-uniformly convex spaces to achieve significant results pertaining to the abelian group
.
Theorem 8. Assume that group is an abelian and let B be a p-uniformly convex space. Suppose that is a surjective mapping with . Consider functionIfthen In 2023, Y. Sun et al. [
33] demonstrated a stability result for approximate isometries, specifically
-isometries, mapping from an arbitrary Banach space
A into a
p-uniformly convex space
B.
Theorem 9 ([
33])
. Let be a isometry, where A is a Banach space and B is a p uniformly convex space for ; then, for , there exist constants and with , and , and linear isometry such that Also, Y. Sun et al. [
33] considered an abelian group
and
-surjective function to analyze stability. The proposed results are as follows:
Theorem 10. Let be a -surjective function, where is an abelian group and B is a p-uniformly convex space for , wherefor and ; then, there exist constants and such that Y. Sun et al. [
33] introduced
isometries, pushing the boundaries on how approximate behaviors can contribute to stability in mappings. While their work primarily focuses on abelian groups, our proposed methodology can extend the results of Dong [
30], L. Sun [
32], and Y. Sun [
33] to non-abelian settings by using the results of L. Cheng [
31]. This extension is significant because non-commutative structures introduce additional challenges in ensuring the stability of FEs.
The main feature of the research being discussed is its utilization in noncommutative groups, which represents an advancement from previous studies that primarily concentrated on abelian or additive groups. This extension notably enhances the scope of stability outcomes in functional analysis and group theory. A key aspect of the findings is the requirement for mapping to be surjective, a stringent condition that guarantees the mapping spans the entirety of Banach space B. This prerequisite is essential for establishing significant and thorough stability implications.
A functional equation is considered hyperstable when any approximate solution is not merely close to but actually coincides with an exact solution. This concept has been examined across various types of functional equations and in different contexts. The study of hyperstability in norm-additive functional equations in particular has received significant attention. Forti [
7] notably demonstrated that certain functional equations manifest hyperstability under specific conditions. Further advancing this field, G. Maksa et al. [
34] introduced hyperstability results for linear functional equations of the form
where
S is a semigroup and
are pairwise distinct automorphisms of
S such that set
is a group equipped with the composition as the group operation. The proposed results stated that
satisfies the above equation if
satisfies stability inequality
where
.
The following theorems concerning the hyperstability results for the Cauchy equation have been proven by J. Brzdęk in [
35].
Theorem 11. Let be a real inner product space with , Y a normed space, and . If there are positive real numbers and λ such thatthen χ is additive. If , then χ does not need to be additive.
Theorem 12. Let X and Y be normed spaces, , and . Suppose also that there are positive real numbers p and withIf or X is not a real inner product space, then χ is additive. Theorem 13 ([
36], Theorem 1.2)
. Let and be normed spaces, be nonempty, and . Assume that there exists a positive integer withThen, every operator withis additive on X. In ([
37], Thorem 1.3), the following result has been presented by J. Brzdęk.
Theorem 14. Let and be normed spaces, nonempty, , and real numbers with . Assume also that there is an such thatThen, every operator satisfying inequalityis additive on X. Further results concerning hyperstability are detailed in the works of Jung [
38] and Cădariu and Radu [
39]. These researchers investigated various functional equations, including Jensen’s and Pexider’s equations, and established conditions under which hyperstability can be achieved. For some further results, related to the issue of hyperstability, we refer the reader to see ([
40], Thorem 8.3) (for a generalization of the quadratic equation), ([
41], Thorem 21.3) (for the equations of homomorphism for square symmetric groupoids, considered in a class of set-valued mappings), ([
42], Thorem 1) (for a functional equation in one variable in a class of set-valued mappings) and [
43] (for functional equations of trigonometric forms in hypergroups).
In our proposed results (see Theorem 19), we also present the hyperstability results for the generalized Cauchy equation. This finding is consistent with the work of other researchers, such as Skof [
44] and Ger [
45], who have investigated similar hyperstability conditions for various types of functional equations.
Throughout this article, G denotes an arbitrary group, with e representing the identity element. Given that G is an arbitrary group, we consistently use multiplication to denote the group operation, writing for any elements g and h in G.
2. Main Results
To demonstrate the key results, we first define
as an arbitrary group and
B as a real Banach space. Functions
and
for
are defined as follows:
and
We assume that the following integral conditions hold true:
Furthermore, according to Theorems 15–18, we assume that mapping
is surjective and satisfies condition
.
Theorem 15. Let be an arbitrary group and B be a real Banach space. If the defined function in (3) satisfies Condition (5), then function satisfies equation Proof. The established function
exhibits a clear monotonic increase with respect to
, and it is evident that
and
For any fixed element
, we define a set-valued function
by
For any fixed elements
, we can possibly choose
and
. Then, there exist
and
in such a way that
and
; then, we can conclude that
Furthermore, when adopting an alternative approach, we observe that
We consider a scenario in which, for any given function
of
, drawing conclusions from inequalities (10) and (11), it can be inferred that
Therefore, we demonstrate the validity of the following condition:
From (5) and (12), we can conclude
Furthermore, it can be inferred that
Upon examining the defined function
as provided in Equation (3), it is evident that
exhibits a monotonically increasing behavior concerning
. This observation allows for us to deduce that
and function
is also sub-additive. Inequalities (15) and (16) yield
From Inequalities (14) and (17), we determine that
holds. We assume that
such that
; therefore, Inequality (10) offers
For any arbitrary
, we choose
. We suppose that
, and we obtain
. Therefore,
, which implies that
is surjective and (18) implies that
is
-surjective. According to Theorem 5 and utilizing Inequality (13), we can obtain linear isometry
from
B onto
B, so
therefore, we have
We consider another mapping
for the selection of
. Therefore, Inequality (18) becomes
Then, we can obtain
Since
implies that
, by utilizing
in (19) and notifying
by
, we can obtain
We consider any two fixed elements
; then, we can determine
and
as follows:
which implies that
because
. Setting
(an identity element of group
G) in (20), we obtain
As
,
, which implies that
is an identity function. Moreover, we find that
for every
. Since
for any
, Equation (20) yields
which is the required result. □
Subsequently, by applying Theorem 15, we prove Theorem 16. For this purpose, we introduce a new generalized criterion for function
, which incorporates the generalized version of the norm-additive functional Equation (1) to derive the following stability result:
by applying an appropriate condition through a large perturbation method.
Theorem 16. Let be an arbitrary group and B be a real Banach space. If the defined function in (4) satisfies Condition (6), then mapping satisfies equation Proof. Setting
in the defined function
, for every
, we obtain
We consider
Again, we consider
From Inequalities (23) and (24), we determine that
Also,
From (25) and (26), we can write
and
as follows:
Applying the inequality from (6) in (27), we obtain
Hence, from previous Theorem 15, we can obtain
for every
, which is the required proof. □
Remark 1. We begin by noting that Theorem 16 provides conditions under which function defined in (4) is bounded in a certain integral sense, and this is used to establish an asymptotic property of χ. For Theorem 16 to imply Theorem 15, we would need to establish a relationship between and such that the integral condition (5) described in Theorem 15 satisfies the defined function in (3).
However, without additional assumptions on the properties of χ, it is not generally possible to derive the results of Theorem 15 from Theorem 16. When we define mapping and assume that , it can be seen that the results of Theorem 16 imply Theorem 15. Potential assumptions could include linearity or near-linearity of χ, specific symmetry, or boundedness conditions that relate to the additive and subtractive properties of χ.
Following the methodology outlined in Theorem 15 and defining the set-valued mapping
from the Banach space
B to
, with a specific focus on selecting a fixed element
h from the noncommutative group
G, we present Theorem 17 to establish the stability result of the norm-additive FE as follows:
Theorem 17. Let be an arbitrary group and B be a real Banach space. If the defined function in (3) satisfies Condition (5), we obtain By defining function for and following the steps outlined in Theorem 16, we now present Theorem 18 through the manipulation of Theorem 17. This approach leads to the derivation of the stability result shown in Equation (28).
Theorem 18. Let be an arbitrary group and B be a real Banach space. If the defined function in (4) satisfies Condition (6), then This proposed study compares recent stability results of functional equations presented in Theorems 15–18 with earlier results by Tabor and Sikorska for different group operations. It specifically addresses non-abelian structures and includes functional forms and . These conditions extend the applicable scenarios of stability analysis to more general settings and group operations compared to the results of Tabor and Sikorska.
Remark 2. The proposed results generalize and refine the results by Tabor and Sikorska by
Extending the results to more general settings involving noncommutative groups, thus broadening the applicability.
Incorporating integral conditions that provide a more nuanced measure of stability and dependence on group elements, offering a finer resolution of stability characteristics.
Allowing for mappings where the domain and codomain structures are more broadly defined (arbitrary groups and real Banach spaces) captures a wider variety of functional equations.
Addressing asymptotic behavior provides insights into the long-term stability of the mappings beyond fixed bounds.
Definition 1. Mapping is considered central if for each . If G is abelian, then every mapping χ is central; nevertheless, the converse may not be true.
Theorem 19. Consider central mapping , where S is a semigroup and H is a Hilbert space. Then, each solution χ of equationsatisfies equation Proof. Initially, we assume that mapping
satisfies functional Equation (29). To achieve the desired outcome, it is necessary to demonstrate that mapping
satisfies functional Equation (30). This condition alone is sufficient to prove the stated result. Therefore, to achieve this objective, it is imperative to demonstrate that
Substituting
h with
g in Equation (29) yields the following expression:
Once more, by substituting variable
h with
in Equation (29), the resulting expression is concluded as
Furthermore, in determining
, it is essential to consider
Based on the information obtained from Equation (33), it can be inferred that
The analysis of Inequalities (32) and (35) demonstrates that
In the realm of Hilbert space theory, established findings assert that when equality is achieved in the triangle inequality, we can conclude that one of the terms involved (one summand) is a non-negative scalar multiple of the other. Consequently, we can deduce that
Given that
is consistently non-zero, it follows from Equations (31) and (37) that we can conclude that
. Now, we consider
Given the centrality of function
, interchanging variables
g and
h in (38) yields the following result:
Using the linearity of the real part operator over the sum of vectors, after adding Equations (38) and (39), we can obtain
If we present
in the following form, we obtain
By using the norm operation and squaring Equation (41) and applying Equation (40), we can derive
which implies the required result as
This completes the proof. □