1. Introduction
By convention, let and be the set of all positive integers and the set of all rational numbers, respectively. Assume that V and W are real vector spaces, and Y is a real normed space. A mapping is said to be additive if it satisfies for all . If A is an additive mapping, we can easily show that for all and all .
A mapping
is called
n-additive if it is additive in each of its variables. A mapping
is said to be symmetric if
, whenever
is a permutation of
. For every
n-additive symmetric mapping
, we set
for all
. Then, we obtain
whenever
and
. Such a mapping
where
is called a
monomial mapping of degree n, or an
n-monomial mapping. Any mapping
is said to be a
generalized polynomial mapping of degree n, provided that there are a constant mapping
and
i-monomial mappings
,
, such that
for all
, where
. For details on the terminologies and definitions used above, one may refer to [
1].
The purpose of this paper is to prove a theorem that solves the uniqueness problem that arises when studying the (generalized) stability of some functional equations, whose solutions are monomial mappings or generalized polynomial mappings of degree n.
The concept of stability of a functional equation occurs when we replace a functional equation with an inequality that acts as a perturbation of the equation. In 1940 (refer to [
2]), the stability problem of the functional equation was raised by Ulam. This problem has attracted the attention of many researchers. In 1941 (refer to [
3]), the affirmative answer to this question was given by Hyers. In 1950 (refer to [
4]), Aoki generalized Hyers’ theorem for additive mappings. Also, in [
5], Hyers’ result was generalized by Th. M. Rassias for linear mappings by an unbounded Cauchy difference. Moreover, in 1994, a further generalization of Th. M. Rassias’ theorem was obtained by Gǎvruţa (see [
6]). After then, the stability problem of various functional equations has been extensively investigated by many mathematicians. For works of the stability problem of a functional equation whose solution is a monomial mapping, one can refer to [
7,
8,
9,
10,
11,
12]. For recent works of the stability problem of functional equations whose solutions are generalized polynomial mappings of degree 4 or 5 or 6 or 7 or 8 or 9 or 10, one can refer to [
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23].
Our results in this paper can be applicable to generalized stability problems of functional equations whose solutions are monomial or generalized polynomial mappings of degree
n. Our main theorem (Theorem 5 in
Section 3) states the following:
For any fixed , let a, be nonzero real constants such that and . For a given mapping , if there exist mappings and a function that satisfy
for some integer , where every has the property
then the mappings are uniquely determined.
The above main theorem of this paper is considered to be a further extension and generalization of existing uniqueness theorems. For previous uniqueness theorems related to the stability of functional equations, one can refer to [
24,
25].
2. Preliminaries
Throughout the paper, unless otherwise stated, we assume that V is a real vector space, Y is a real Banach space, and is a given arbitrary mapping.
In the following theorem, let
be a function that satisfies similar conditions with Gǎvruţa condition (refer to [
6]). Then, we prove that, for any given mapping
f, if there is a mapping
F (close to
f) with some additional properties, then the mapping
F is uniquely determined.
Theorem 1. For any fixed integer , let a, be nonzero real constants, such that and , and let be a function satisfying one of the following conditions: For a given mapping , if there exist mappings such that for all , where every satisfies then the mappings are uniquely determined.
Proof. We will prove this theorem by applying mathematical induction. First, we will prove our claim for
. In this case, only the first and last conditions of (
1) are valid. Let
be a function that satisfies one of the following conditions:
and let
be an arbitrarily given mapping. Assume that
are mappings such that
,
,
, and
for all
.
If
satisfies the first condition in (
4), then we have
for all
.
We now assume that
satisfies the second condition in (
4). Then, we obtain
for all
. Since
, it holds that
for all
(for both cases).
Assume that our assertion holds for
, where
is some integer. Let
be a function satisfying one of conditions in (
1) for
, and let
be an arbitrary mapping. Assume that
are mappings satisfying (
2) and (
3) for
.
Let
be the mappings defined by
,
,
…,
, and let
be the function defined by
. Then,
satisfies one of the conditions in (
1) for
. It is easy to show that
satisfy
for all
and
, and
for all
.
Since
satisfies one of conditions in (
1) for
and
g,
,
satisfy (
2) and (
3) for
; by the induction assumption,
are uniquely determined. This implies that if
satisfies one of conditions in (
1) for
and
f, and
,
satisfy (
2) and (
3) for
, then
are uniquely determined, because
for each
. In other words, if
satisfies one of conditions in (
1) for
and
f,
,
satisfies (
2) and (
3) for
and simultaneously, if
f,
,
satisfy (
2) and (
3) for
, then
for every
. Moreover, we have
for all
.
Now, we use (
3) and (
5) to prove that
. If
satisfies one of the conditions other than the last one in (
1) for
, namely the
jth condition, then
for all
and for some
, since
.
We now assume that
satisfies the last condition in (
1) for
. It then follows from (
5) that
for all
.
Finally, since , it holds that for all . With the inductive conclusion, we complete the proof of our assertion. □
In the following two corollaries, we assume that V is a real vector space and Y is a real normed space.
Corollary 1. Let a, be nonzero real constants, such that and , and let be a function that satisfies one of the conditions in . For a given mapping , if there are mappings such thatwhere and for all , then the mappings F, are uniquely determined. Corollary 2. Let a, p, , and p be nonzero real constants, such that , and . For a given mapping , if there are mappings and a constant such thatwhere and for all , then the mappings F, are uniquely determined. Proof. If we put
for all
, then
satisfies one of the conditions of (
1) and
f,
satisfy conditions (
2) and (
3), given in Theorem 1. Therefore,
are the unique mappings that satisfy conditions
and
. □
3. Main Theorem
In this section, we assume that V is a real vector space and Y is a real normed space.
In the following three lemmas, we will introduce special conditions that satisfy the conditions of (
1).
Lemma 1. Let a and α be nonzero real constants with . If a function satisfies the condition for all , then the function satisfies for all .
Proof. If
satisfies
for all
, then we have
for all
. □
In the following lemma, we introduce some special conditions that satisfy one of the second to
nth conditions of (
1).
Lemma 2. For any fixed integer , let ℓ be an integer with . Assume that a, , and are nonzero real constants, such that and . If a function satisfies the following conditions for all , then the functions have the following properties: for all .
Proof. If
satisfies
and
for all
, then we have
and
Moreover, we also obtain
and
for all
.
Since
and
for all
, we have
and
for all
. From the above two equalities, we conclude that
for all
. □
In the following lemma, we will introduce a special condition that satisfies the last condition of (
1).
Lemma 3. Let a and α be nonzero real constants with . If a function satisfies the following condition for all , then the function satisfies for all .
Proof. If
satisfies
for all
, then we have
for all
. □
In the following theorem, we present practical ways to use Theorem 1 together with the three lemmas mentioned above. First, we combine Theorem 1 and Lemma 1 to prove the following theorem.
Theorem 2. Assume that V is a real vector space and Y is a real normed space. For every fixed , let a, be nonzero real constants, such that and . Assume that a function satisfies the following conditionfor all . For any given mapping , if there exist mappings , satisfying the inequalityfor all , where each satisfies for all , then the mappings are uniquely determined. Proof. Since
satisfies
for all
, it follows from Lemma 1 that
for all
. In view of Theorem 1 with the first condition of (
1), we conclude that
are the unique mappings satisfying (
3) and (
8). □
Corollary 3. Let V, Y, n, a, , f, ϕ, and Φ be given under the same conditions as in Theorem 2. Assume that a mapping satisfies the following inequalityfor all . If can be expressed as and every has the property , then F is the unique mapping that satisfies . Assume that V is a real vector space and Y is a real normed space. Now, we combine Theorem 1 and Lemma 2 to prove the following theorem.
Theorem 3. For every fixed integer , let ℓ be an integer with . Assume that a, are nonzero real constants such that and , and also suppose is an arbitrary mapping. Assume moreover that a function satisfies the conditionsfor all . If mappings satisfy the inequalityfor all , where each satisfies for all , then the mappings are uniquely determined. Proof. If
satisfies the conditions
for all
, it then follows from Lemma 2 that
for all
. Now, we apply Theorem 1 with
in place of
to conclude that
are the unique mappings which satisfy both (
3) and (
10). □
Corollary 4. Let V, Y, n, a, , f, ϕ, Φ, and be given under the same conditions as in Theorem 3. If there is a mapping that satisfies the following inequalitywhere and every has the property , then the mappings , are uniquely determined. As we often did before, we set V to be a real vector space and Y to be a real normed space. Finally, we combine Theorem 1 and Lemma 3 to prove the following theorem.
Theorem 4. For any fixed , let a, be nonzero real constants such that and . Assume that a function satisfies the following conditionfor all . For a given mapping , if mappings satisfy the inequalitywhere every satisfies for all , then the mappings are uniquely determined. Proof. If
satisfies the condition,
, then we may use Lemma 3 to show that
for all
. Finally, we use Theorem 1 with the last condition of (
1) to conclude that
are the unique mappings satisfying (
3) and (
12). □
Corollary 5. Let V, Y, n, a, , f, ϕ, and Φ be given under the same conditions as in Theorem 4. If there exists a mapping that satisfies the inequalitywhere and every has property , then the mapping F is uniquely determined. The following main theorem results from Theorems 2–4.
Theorem 5 (Main Theorem).
Assume that V is a real vector space and Y is a real normed space. For any fixed , let a, be nonzero real constants, such that and . For a given mapping , if there exist mappings and a function that satisfyfor all and for some , where every has property , then the mappings are uniquely determined. Now, we introduce a corollary that further improves the applicability of the above main theorem.
Corollary 6. Assume that V is a real vector space and Y is a real normed space. For any fixed , let a, be nonzero real constants, such that and . For a given mapping , if there exist a mapping and a function that satisfyfor all and for some , where and every has the property , then the mapping F is uniquely determined. 4. Examples
Assume that V is a real vector space and Y is a real normed space.
Example 1. Let be an arbitrary mapping and an additive-quadratic-cubic-quartic (AQCQ′) mapping. If there exists a function that satisfiesfor all , then the mapping F is uniquely determined. Proof. If we set
,
,
,
,
,
an additive mapping,
a quadratic mapping,
a cubic mapping, and
a quartic mapping, then
with
,
,
, and
. It then follows from Corollary 6 that
F is the only additive-quadratic-cubic-quartic mapping that satisfies either (
20), (
21), (
22), (
23), or (
24). □
For a given mapping
, we use the abbreviations
,
,
defined by
for all
, where
is a fixed integer. In [
26], M. E. Gordji et al. showed that if
f satisfies the functional equation
, then
f is an AQCQ′ mapping. And in [
27], J. R. Lee et al. showed that if
f satisfies the functional equation
, then
f is an AQCQ′ mapping, while in [
28], K. Ravi et al. showed that if
f satisfies
, then
f is an AQCQ′ mapping. Also, in [
29], D. Z. Djoković et al. showed that if
f satisfies
, then
f is a generalized polynomial mapping of degree 4 (Theorem 3 in [
29]). Moreover, in [
20], Y. H. Lee et al. obtained stability results of
.
Using Example 1, we can improve the stability results obtained separately by Gordji et al., Lee et al., Ravi, and Y. H. Lee et al. all at once, as shown in the following example.
Example 2. For each and any given function , we define the conditions byfor all . For a fixed and , if a function satisfies the conditions of (
φℓ)
and a mapping satisfies and the following inequalityfor all , then there exists a unique mapping such that for all andfor all , wherefor all . Using Example 2, we have Hyers–Ulam–Rassias stability of the functional equations .
Example 3. Let and let p be a positive real number with . Let be a mapping satisfying andfor all . Then, there exists a unique mapping such that for all andfor all , where Example 4. Let be an arbitrary mapping, r a fixed positive rational number with , and a generalized polynomial mapping of degree n with . If there exists a function that satisfiesfor all and for some , then F is a uniquely determined generalized polynomial mapping of degree n. Proof. Let
be the mappings defined by
and
. Then,
and we can apply Corollary 6 to
and
. So, we can obtain unique
that satisfies either (
17), (
18), or (
19). It means that we can have unique
F that satisfies either (
25), (
26), or (
27). □
5. Conclusions
Considering Hyers–Ulam stability of functional equations, it is generally difficult to prove the uniqueness of the stability function with conditions similar to Gǎvruţa condition. The uniqueness theorems of this paper obtained through direct calculation can be applied to various functional equations. As an application of Theorem 5 and Corollary 6, we considered Examples 2 and 3 to obtain generalized stability of the functional equation , and here, we have the uniqueness of the stability mapping F.
For future research, we can apply Theorem 5 and Corollary 6 to the functional equations in [
13,
14,
15,
16,
17,
19,
20,
21,
22,
23] obtained Hyers–Ulam–Rassias stability and we can obtain the uniqueness of the stability mapping
F with conditions similar to Gǎvruţa condition.
Author Contributions
Conceptualization, Y.-H.L.; methodology, S.-M.J., Y.-H.L. and J.R.; validation, S.-M.J., Y.-H.L. and J.R.; formal analysis, S.-M.J., Y.-H.L. and J.R.; writing—original draft preparation, S.-M.J., Y.-H.L. and J.R.; writing—review and editing, S.-M.J., Y.-H.L. and J.R.; supervision, J.R.; funding acquisition, J.R. All authors have read and agreed to the published version of the manuscript.
Funding
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2021R1A2C109489611).
Data Availability Statement
Data is contained within the article.
Conflicts of Interest
The authors declare no conflict of interest.
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