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Non-Archimedean and random HUR-approximation of a Cauchy-Jensen additive mapping
Journal of Inequalities and Applications volume 2014, Article number: 209 (2014)
Abstract
In this paper, using the fixed point and direct methods, we prove the Hyers-Ulam-Rassias approximation (briefly, HUR-approximation) of a Cauchy-Jensen additive (briefly, CJA) functional equation in various normed spaces.
MSC:39B52, 39B82, 47H10, 46S10.
1 Introduction
A classical question in the theory of functional equations is the following: When is it true that a function which approximately satisfies a functional equation must be close to an exact solution of the equation? If the problem accepts a solution, we say that the equation is stable. The first stability problem concerning group homomorphisms was raised by Ulam [1] in 1940. In 1941, Hyers [2] gave a positive answer to the above question for additive groups under the assumption that the groups are Banach spaces. Aoki [3] proved a generalization of Hyers’ theorem for additive mappings and Rassias [4] proved a generalization of Hyers’ theorem for linear mappings.
Theorem 1.1 (ThM Rassias)
Let be a mapping from a normed vector space E into a Banach space subject to the inequality , for all , where ε and p are constants with and . Then the limit exists, for all , and is the unique additive mapping which satisfies
for all . Also, if for each the function is continuous in , then L is linear.
This new concept is known as a the Hyers-Ulam stability or the Hyers-Ulam-Rassias stability of functional equations. Furthermore, in 1994, a generalization of Rassias’ theorem was obtained by Gǎvruta [5] by replacing the bound by a general control function .
In 1983, a generalized Hyers-Ulam stability problem for the quadratic functional equation was proved by Skof [6] for mappings , where X is a normed space and Y is a Banach space. In 1984, Cholewa [7] noticed that the theorem of Skof is still true if the relevant domain X is replaced by an Abelian group and, in 2002, Czerwik [8] proved the generalized Hyers-Ulam stability of the quadratic functional equation. The readers are referred to [9–29] and references therein for detailed information on stability of functional equations.
In 1897, Hensel [30] has introduced a normed space which does not have the Archimedean property. It turned out that non-Archimedean spaces have many nice applications (see [31–35]).
Definition 1.1 By a non-Archimedean field we mean a field equipped with a function (valuation) such that, for all , the following conditions hold: (a) if and only if ; (b) ; (c) .
Clearly, by (b), and so, by induction, it follows from (c) that , for all .
Definition 1.2 Let X be a vector space over a scalar field with a non-Archimedean non-trivial valuation .
-
(1)
A function is a non-Archimedean norm (valuation) if it satisfies the following conditions: (a) if and only if , for all ; (b) , for all and ; (c) the strong triangle inequality (ultra-metric) holds, that is, , for all .
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(2)
The space is called a non-Archimedean normed space (briefly, NAN-space).
Note that , for all with .
Definition 1.3 Let be a non-Archimedean normed space.
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(a)
A sequence is a Cauchy sequence in X if converges to zero in X.
-
(b)
The non-Archimedean normed space is said to be complete if every Cauchy sequence in X is convergent.
The most important examples of non-Archimedean spaces are p-adic numbers. A key property of p-adic numbers is that they do not satisfy the Archimedean axiom: for all , there exists a positive integer n such that .
Example 1.1 Fix a prime number p. For any nonzero rational number x, there exists a unique positive integer such that , where a and b are positive integers not divisible by p. Then defines a non-Archimedean norm on ℚ. The completion of ℚ with respect to the metric is denoted by , which is called the p-adic number field. In fact, is the set of all formal series , where . The addition and multiplication between any two elements of are defined naturally. The norm is a non-Archimedean norm on and is a locally compact field.
In Section 3, we adopt the usual terminology, notions and conventions of the theory of random normed spaces as in [36]. Throughout this paper, let △+ denote the set of all probability distribution functions such that F is left-continuous and nondecreasing on ℝ and , . It is clear that the set , where , is a subset of △+. The set △+ is partially ordered by the usual point-wise ordering of functions, that is, if and only if , for all . For any , the element of is defined by
We can easily show that the maximal element in △+ is the distribution function .
Definition 1.4 A function is a continuous triangular norm (briefly, a t-norm) if T satisfies the following conditions: (a) T is commutative and associative; (b) T is continuous; (c) , for all ; (d) whenever and , for all .
Three typical examples of continuous t-norms are as follows: , , . Recall that, if T is a t-norm and is a sequence in , then is defined recursively by and , for all . is defined by .
Definition 1.5 A random normed space (briefly, RN-space) is a triple , where X is a vector space, T is a continuous t-norm and is a mapping such that the following conditions hold:
-
(a)
, for all if and only if ;
-
(b)
, for all with , and ;
-
(c)
, for all and .
Every normed space defines a random normed space , where , for all and is the minimum t-norm. This space X is called the induced random normed space.
If the t-norm T is such that , then every RN-space is a metrizable linear topological space with the topology τ (called the μ-topology or the -topology, where and ) induced by the base of neighborhoods of θ, where
Definition 1.6 Let be an RN-space.
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(a)
A sequence in X is said to be convergent to a point (write as ) if , for all .
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(b)
A sequence in X is called a Cauchy sequence in X if , for all .
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(c)
The RN-space is said to be complete if every Cauchy sequence in X is convergent.
Theorem 1.2 If is RN-space and is a sequence such that , then .
Definition 1.7 Let X be a set. A function is called a generalized metric on X if d satisfies the following conditions:
-
(a)
if and only if , for all ;
-
(b)
, for all ;
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(c)
, for all .
Let be a complete generalized metric space and be a strictly contractive mapping with Lipschitz constant . Then, for all , either , for all nonnegative integers n, or there exists a positive integer such that
-
(a)
, for all ;
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(b)
the sequence converges to a fixed point of J;
-
(c)
is the unique fixed point of J in the set ;
-
(d)
, for all .
In this paper, using the fixed point and direct methods, we prove the HUR-approximation of the following CJA functional equation:
in various normed spaces.
2 NAN-stability
In this section, we deal with the stability problem for the Cauchy-Jensen additive functional equation (1.1) in non-Archimedean normed spaces.
Theorem 2.1 Let X be a non-Archimedean normed space and Y is a complete non-Archimedean space. Let be a function such that there exists an with
for all . Let be a mapping satisfying
for all . Then there exists a unique additive mapping such that
for all .
Proof Putting and in (2.1), we get , for all . So
for all . Consider the set and introduce the generalized metric on S:
for all , where, as usual, . It is easy to show that is complete (see [39]). Now we consider the linear mapping such that , for all . Let be given such that . Then , for all . Hence
for all . So implies that . This means that , for all . It follows from (2.4) that . By Theorem 1.3, there exists a mapping satisfying the following:
-
(1)
ℑ is a fixed point of J, i.e.,
(2.5)
for all . The mapping ℑ is a unique fixed point of J in the set . This implies that ℑ is a unique mapping satisfying (2.5) such that there exists a satisfying , for all ;
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(2)
as . This implies the equality
(2.6)
for all ;
-
(3)
, which implies the inequality . This implies that the inequalities (2.3) holds. It follows from (2.1) and (2.2) that
for all . So , for all . Hence is an CJA mapping and we get the desired results. □
Corollary 2.1 Let θ be a positive real number and r is a real number with . Let be a mapping satisfying
for all . Then there exists a unique CJA mapping such that
for all .
Proof The proof follows from Theorem 2.1 by taking , for all . Then we can choose and we get the desired result. □
Theorem 2.2 Let X be a non-Archimedean normed space and Y is a complete non-Archimedean space. Let be a function such that there exists an with , for all . Let be a mapping satisfying (2.2). Then there exists a unique CJA mapping such that
for all .
Proof Let be the generalized metric space defined in the proof of Theorem 2.1. Now we consider the linear mapping such that , for all . Let be given such that . Then , for all . Hence
for all . So implies that . This means that , for all . It follows from (2.4) that . By Theorem 1.3, there exists a mapping satisfying the following:
-
(1)
ℑ is a fixed point of J, i.e.,
(2.9)
for all . The mapping ℑ is a unique fixed point of J in the set . This implies that ℑ is a unique mapping satisfying (2.9) such that there exists a satisfying , for all ;
-
(2)
as . This implies the equality , for all ;
-
(3)
, which implies the inequality . This implies that the inequalities (2.8) holds. The rest of the proof is similar to the proof of Theorem 2.1. □
Corollary 2.2 Let θ be a positive real number and r is a real number with . Let be a mapping satisfying (2.7). Then there exists a unique CJA mapping such that
for all .
Proof The proof follows from Theorem 2.2 by taking , for all . Then we can choose and we get the desired result. □
Theorem 2.3 Let G be an additive semigroup and X is a non-Archimedean Banach space. Assume that be a function such that
for all . Suppose that, for any , the limit
exists and be a mapping satisfying
Then the limit exists, for all , and defines an CJA mapping such that
Moreover, if then ℑ is the unique CJA mapping satisfying (2.13).
Proof Putting and in (2.12), we get
for all . Replacing x by in (2.14), we obtain
Thus, it follows from (2.10) and (2.15) that the sequence is a Cauchy sequence. Since X is complete, it follows that is convergent. Set . By induction on n, one can show that
for all and . By taking in (2.16) and using (2.11), one obtains (2.13). By (2.10) and (2.12), we get
for all . So
Letting in (2.17), we get . Letting in (2.17), we get , for all . Hence the mapping is Cauchy additive.
To prove the uniqueness property of ℑ, let ℜ be another mapping satisfying (2.13). Then we have
for all . Therefore, . This completes the proof. □
Corollary 2.3 Let be a function satisfying , , for all . Assume that and be a mapping such that
for all . Then there exists a unique CJA mapping such that
Proof If we define by , then we have , for all . On the other hand, it follows that exists, for all . Also, we have
Thus, applying Theorem 2.3, we have the conclusion. This completes the proof. □
Theorem 2.4 Let G be an additive semigroup and X is a non-Archimedean Banach space. Assume that be a function such that , for all . Suppose that, for any , the limit
exists and be a mapping satisfying (2.12). Then the limit exists, for all , and
for all . Moreover, if , then ℑ is the unique CJA mapping satisfying (2.19).
Proof It follows from (2.14) that
for all . Replacing x by in (2.20), we obtain
Thus it follows from (2.21) that the sequence is convergent. Set . On the other hand, it follows from (2.21) that
for all and with . Letting , taking in the last inequality and using (2.18), we obtain (2.19).
The rest of the proof is similar to the proof of Theorem 2.3. This completes the proof. □
Corollary 2.4 Let be a function satisfying , , for all . Let and be a mapping satisfying
for all . Then there exists a unique CJA mapping such that
Proof If we define by and apply Theorem 2.4, then we get the conclusion. □
3 RNS-stability
In this section, using the fixed point and direct methods, we prove the HUR-approximation of the functional equation (1.1) in random normed spaces.
Theorem 3.1 Let X be a real linear space, be an RN-space and be a function such that there exists such that
for all and and , for all and . Let be a complete RN-space. If be a mapping such that
for all and . Then the limit exists, for all , and defines a unique CJA mapping such that
for all and .
Proof Putting and in (3.2), we see that
Replacing x by in (3.4), we obtain
for all . Replacing x by in (3.5) and using (3.1), we obtain
and so
This implies that
Replacing x by in (3.6), we obtain
Since , it follows that is a Cauchy sequence in a complete RN-space and so there exists a point such that . Fix and put in (3.7) and so, for any ,
Taking in (3.8), we get . Since ε is arbitrary, by taking in the previous inequality, we get
Replacing x, y and z by , and in (3.2), respectively, we get
for all and . Since , we conclude that ℑ satisfies (1.1). On the other hand
This implies that is an CJA mapping. To prove the uniqueness of the CJA mapping ℑ, assume that there exists another CJA mapping which satisfies (3.3). Then we have
Since . Therefore, we have , for all , and so . This completes the proof. □
Corollary 3.1 Let X be a real normed linear space, be an RN-space and be a complete RN-space. Let r be a positive real number with , and be a mapping satisfying
for all and . Then the limit exists, for all , and defines a unique CJA mapping such that
for all and .
Proof Let and be a mapping defined by . Then, from Theorem 3.1, the conclusion follows. □
Theorem 3.2 Let X be a real linear space, be an RN-space and be a function such that there exists such that , for all and , and
for all and . Let be a complete RN-space. If be a mapping satisfying (3.2). Then the limit exists, for all , and defines a unique CJA mapping such that
for all and .
Proof It follows from (3.4) that
Replacing x by in (3.11), we obtain
The rest of the proof is similar to the proof of Theorem 3.1. □
Corollary 3.2 Let X be a real normed linear space, be an RN-space and be a complete RN-space. Let r be a positive real number with , and be a mapping satisfying (3.9). Then the limit exists, for all , and defines a unique CJA mapping such that
for all and .
Proof Let and be a mapping defined by . Then, from Theorem 3.2, the conclusion follows. □
Theorem 3.3 Let X be a linear space, be a complete RN-space and Φ be a mapping from to ( is denoted by ) such that there exists such that
for all and . Let be a mapping satisfying
for all and . Then, for all , exists and is a unique CJA mapping such that
for all and .
Proof Putting and in (3.13), we have
for all and . Consider the set and the generalized metric d in S defined by
where . It is easy to show that is complete (see [39], Lemma 2.1). Now, we consider a linear mapping such that
for all . First, we prove that J is a strictly contractive mapping with the Lipschitz constant 2α. In fact, let be such that . Then we have , for all and , and so
for all and . Thus implies that . This means that , for all . It follows from (3.15) that . By Theorem 1.3, there exists a mapping satisfying the following:
-
(1)
ℑ is a fixed point of J, that is,
(3.18)
for all . The mapping ℑ is a unique fixed point of J in the set . This implies that ℑ is a unique mapping satisfying (3.18) such that there exists satisfying , for all and .
-
(2)
as . This implies the equality , for all .
-
(3)
with , which implies the inequality and so
for all and . This implies that the inequality (3.14) holds. On the other hand
for all , and . By (3.12), we know that . Since , for all and , we have , for all and . Thus the mapping satisfying (1.1). Furthermore
This completes the proof. □
Corollary 3.3 Let X be a real normed space, and r be a real number with . Let be a mapping satisfying
for all and . Then exists, for all , and is a unique CJA mapping such that
for all and .
Proof The proof follows from Theorem 3.3 if we take , for all and . In fact, if we choose , then we get the desired result. □
Theorem 3.4 Let X be a linear space, be a complete RN-space and Φ be a mapping from to ( is denoted by ) such that for some , , for all and . Let be a mapping satisfying (3.13). Then the limit exists, for all , and is a unique CJA mapping such that
for all and .
Proof Putting and in (3.13), we have
for all and . Let be the generalized metric space defined in the proof of Theorem 3.1. Now, we consider a linear mapping such that , for all . It follows from (3.21) that . By Theorem 1.3, there exists a mapping satisfying the following:
-
(1)
ℑ is a fixed point of J, that is,
(3.22)
for all . The mapping ℑ is a unique fixed point of J in the set . This implies that ℑ is a unique mapping satisfying (3.22) such that there exists satisfying , for all and .
-
(2)
as . This implies the equality
for all .
-
(3)
with , which implies the inequality , for all and . This implies that the inequality (3.20) holds. The rest of the proof is similar to the proof of Theorem 3.3. □
Corollary 3.4 Let X be a real normed space, and r be a real number with . Let be a mapping satisfying (3.19). Then the limit exists, for all , and is a unique CJA mapping such that
for all and .
Proof The proof follows from Theorem 3.4 if we take , for all and . In fact, if we choose , then we get the desired result. □
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Park, C., Azadi Kenary, H. & Sahami, N. Non-Archimedean and random HUR-approximation of a Cauchy-Jensen additive mapping. J Inequal Appl 2014, 209 (2014). https://doi.org/10.1186/1029-242X-2014-209
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DOI: https://doi.org/10.1186/1029-242X-2014-209