Abstract
In this paper, we prove the generalized nonlinear stability of the first and second of the following -functional equations, , and in latticetic random Banach lattice spaces, where is a fixed real or complex number with .
1. Introduction
In 1986 [1], Alsina investigated the stability of functional equations in random normed spaces. This was a milestone that revealed the role of random theory as a powerful tool for studying stability of functional equations, and many mathematicians attempted to develop and generalize the problem of stability in random normed spaces with a practical approach. In 2011 [2], Saadati et al. proved the nonlinear stability of a cubic functional equation in non-Archimedean random normed space. They also proved nonlinear stability of a -random additive-cubic-quartic (ACQ) functional equation [3].
For the first time, in 2012 [4], Agbeko investigated the stability of a maximum preserving functional equation in latticetic environments. He presented a generalization of the Hyers–Ulam–Aoki stability problem in Banach lattice spaces, by replacing the supremum operation with additive operation in Cauchy’s equation, which is called the maximum preserving functional equation. In addition to supremum and infimum operations, in 2015, Agbeko [5] developed nonlinear stability for different combinations of these two operations, and proved it using the core of the direct method presented by Forti [6]. On the other hand, in 2017, Park and Jang [7] introduced -functional equations, and proved the stability of the equations in various spaces.
In the present work, we introduce a latticetic operation-preserving -functional equations and prove the stability of the first and second latticetic operation-preserving -functional equations by the direct method and fixed-point method in latticetic random Banach lattice spaces, which is a generalization of research by Agbeko, Park and Jang.
2. Preliminaries
At first, we describe some known concepts and results, which will be useful in the next section of this study.
Theorem 1
(see [8,9]). Assume that is a complete generalized metric space. Assume that is a strictly contractive mapping with Lipschitz constant . If there exist non-negative integers such that
- (C1)
- , ; then we have
- (C2)
- the sequence convergence to a fixed point of β;
- (C3)
- is the unique fixed point of β in the set ;
- (C4)
- , .
Definition 1.
An ordered set is called a complete lattice if
- (CL1)
- , A admits supremum and infimum,
- (CL2)
- , .
Suppose that be the space of lattice random distribution function, i.e.,
It is clear that the space is an ordered set (i.e., if and only if (iff) for all ).
Also, the distribution function given by
is the maximal element for .
Moreover, if denotes the left limit of the function G at the point a and , then obviously .
Definition 2
(see [10]). Assume that . is a triangular norm brifly (t-norm), iff for all :
- (TN1)
- (boundary condition);
- (TN2)
- (commutativity);
- (TN3)
- (associativity);
- (TN4)
- if and (monotonicity).
For example, , for all is a t-norm on .
If
for all , then is called a continous t-norm, where .
Definition 3
(see [9,11]). If there exist a continuous t-norm ⋄ and a continuous t-conorm □ on , we define, for all ,
Then, is called t-representable on .
For example,
for all are continuous t-representables.
Define the mapping from to M by
If is a given sequence in M, then is defined recurrently by and for (see [9]).
Definition 4.
Assume that . is called a negation function, iff
- (NF1)
- , ,
- (NF2)
- , if (monotonically).A negation function is involutive, iff
- (NF3)
- , .
Definition 5.
A triple is called a latticetic random normed space (briefly, LRN-space) if is a vector space and such that the following conditions hold:
- (L1)
- for all iff ;
- (L2)
- for all a in , and ;
- (L3)
- for all and .
We note that from (L2) it follows that for all and .
Example 1.
Assume that and operation are defined by
Then, is a complete lattice (see [9]). In this complete lattice, we denote its units by and . Let be a normed space, for all and μ be a mapping defined by
Then, is an LRN-space.
If be an LRN-space, then
are neighborhoods of null vector for linear topology on generalized by the norm G.
Definition 6.
Assume that is an LRN-space.
- (1)
- We say if, for every and , there exists a positive integer N such that whenever .
- (2)
- We say is a Cauchy sequence if, for every and , there exists a positive integer N such that whenever .
- (3)
- A LRN-space is said to be complete if every Cauchy sequence in is convergent to a point in .
Theorem 2.
If is an LRN-space and , then .
Proof.
The proof is the same as classical RN-spaces, see [11]. ☐
Lemma 1.
Let be an LRN-space and . If
then and .
Proof.
Assume that for all . Since , we have and by (L1) we conclude that . ☐
Definition 7.
Suppose that triple is an LRN-space. Then, is called latticetic random Banach space (briefly, LRB-space) if is complete with respect to the random metric included by random norm.
Definition 8.
Suppose that is a vector lattice and is a Banach lattice with and their respective positive cones. A map is cone-related if
(For more about this notion see [4,5].)
3. Stability of the first -Functional Equation: Direct Method
In this section, using a direct method, we prove nonlinear stability of the first -functional equation in latticetic random Banach lattice space (briefly, LRBL-space).
Definition 9.
Assume that is a vector lattice space, is an LRN-space and is a cone-related mapping. Then, the following operator equation is called a Cauchy latticetic operation-preserving functional equation if:
for all , where and are fixed lattice operations.
Note that if the above four lattice operators are all the supremum (join) or the infimum (meet), then the functional Equation (10) is just the definition of a join-homomorphism or a meet-homomorphism. Moreover, if and are the same, then the left-hand side of Equation (10) is the map of the meets or the joints.
Lemma 2.
Assume that and are vector lattice spaces. If a mapping satisfies
for all , then functional Equation (11) is a Cauchy latticetic operation-preserving functional equation.
Proof.
Letting in Equation (11), we get and so
for all .
Now, we prove nonlinear stability of the first ρ-functional Equation in latticetic random Banach lattice spaces.
For a given mapping , we define
for all .
Theorem 3.
Assume that is a vector lattice space and is an LRBL-space in which and ( is denoted by ), such that there exists with
and
for all and . If is a cone-related functional such that
for all and , then there is a unique cone-related mapping which satisfies the Cauchy latticetic operation-preserving functional equation such that
for all and .
Proof.
Putting in Equation (17), we see that
Therefore,
holds. It follows that
and so
This implies that
Replacing a by in (21), we have
so is a Cauchy sequence in . Since is an LRBL-space, that is, is complete with respect to the randomness induced by random norm, there exists a point such that
Replacing a and b by in Equation (17), respectively, we get
for all and . Since , we conclude that H satisfies Equation (11), so by Lemma 2, satisfies the Cauchy latticetic operation-preserving functional equation.
Assume that there exists another cone-related mapping which satisfies Equation (17). Then, we obtain that
On the other hand, we have . Therefore, it follows that for all and so (i.e., H is unique). This completes the proof. ☐
Corollary 1.
Assume that and is a vector lattice space and is an LRBL-space in which and . Assume that is a cone-related mapping satisfying
for all and . Then, the limit exists for all and defines a unique cone-related mapping such that
Proof.
Assume that is a mapping by . Then, from Theorem 3, the conclusion follows. ☐
4. Stability of the first -Functional Equation: A Different Method
Throughout this section, using the fixed-point method, we prove the nonlinear stablility of the first ρ-functional Eqaution in LRBL-spaces.
Theorem 4.
Assume that is a vector lattice space and is an LRBL-space in which and ( is denoted by ) such that there exists ,
for all and . Assume that is a cone-related mapping such that
for all and . Then, for all ,
exists and is a unique cone-related functional that satisfies the Cauchy latticetic operation-preserving function equation such that
for all and .
Proof.
Putting in Equation (30), we have
Then,
Consider the set and the generalized metric in S defined by
where as usual, .
It is easy to show that is a complete generalized metric space that defines the operator such that
for all . Given , let be an orbitrary constant with , that is,
for all , that is, . Thus, we have
for all .
By Theorem 1, there exists a cone-related functional satisfying the following:
1. H is a fixed point of β, that is,
for all . Also, the mapping H is a unique fixed point of β in the set
This implies that
2. as . So,
for all .
3. , so we have
which implies that inequality (30) holds.
Then,
Since , then
Therefore, it follows that for all and so .
Thus, a cone-related functional satisfies the first ρ-functional Equation. ☐
5. Stability of the Second -Functional Equation: Direct Method
In this section, using a direct method, we prove nonlinear stability the second ρ-functional Equation in latticetic random Banach lattice space.
Lemma 3.
Assume that and are vector lattice spaces. If a mapping satisfies
for all , then functional Equation (38) is a Cauchy latticetic operation-preserving functional equation.
Proof.
Then, , and so
Now, we prove nonlinear stability of the second ρ-functional Equation in latticetic random Banach lattice spaces.
Theorem 5.
Assume that is a vector lattice space and is an LRBL-space in which and ( is denoted by ) such that there exists ,
and
for all and . If is a cone-related functional such that
for all and , then there is a unique cone-related mapping which satisfies the Cauchy latticetic operation-preserving functional equation such that
for all and .
Corollary 2.
Assume that and is a vector lattice space and is an LRBL-space in which and . Let be a cone-related mapping satisfying
for all and . Then, the limit exists for all and defines a unique cone-related mapping such that
Proof.
Assume that is a mapping by , then from Theorem 5, the conclusion follows. ☐
6. Stability of the Second -Functional Equation: Different Method
In this section, using the fixed-point method, we prove nonlinear stability of the second ρ-functional Equation in LRBL-spaces.
Theorem 6.
Assume that is a vector lattice space, is an LRBL-space in which and ( is denoted by ) such that there exists ,
for all and . Assume that is a cone-related mapping such that
for all and ; then, for all ,
exists and is a unique cone-related function that satisfies the Cauchy latticetic operation-preserving functional equation such that
for all and .
Proof.
Similar to Theorem 4. ☐
Author Contributions
These authors contributed equally to this work.
Conflicts of Interest
The author declare no conflict of interest.
References
- <i>Alsina, C. On the stability of a functional equation arising in probabilistic normed spaces. In General Inequalities; Birkhäuser: Basel, Switzerland, 1987; Volume 80, pp. 263–271. [Google Scholar]
- <i>Saadati, R.; Vazepour, S.M.; Park, C. The stability of the cubic functional equation in various space. Math. Commun. 2011, 16, 131–145. [Google Scholar]
- <i>Saadati, R.; Vaezpour, S.M. Nonlinear L-random stability of an ACQ functional equation. J. Inequal. Appl. 2011, 2011, 194394. [Google Scholar]
- <i>Agbeko, N.K. A stability of maximum preserving functional equations on Banach lattices. Miskolc Math. Notes 2012, 13, 187–196. [Google Scholar]
- <i>Agbeko, N.K. The Hyers-Ulam-Aoki type stability of some functional equations on Banach lattices. Bull. Pol. Acad. Sci. Math. 2015, 63, 177–184. [Google Scholar]
- <i>Forti, G.-L. Comments on the core of the direct method for proving Hyers-Ulam stability of functional equations. J. Math. Anal. Appl. 2004, 295, 127–133. [Google Scholar]
- <i>Park, C.; Jang, S.Y. Additive ρ-functional equation. J. Comput. Anal. Appl. 2017, 22, 1035–1048. [Google Scholar]
- <i>Cǎdariu, L.; Radu, V. On the stability of the Cauchy functional equation: A fixed point approach in iteration theory, (ECIT 02). Gra Zer Math. Ber. 2004, 346, 43–52. [Google Scholar]
- <i>Deschrijver, G.; Kerre, E.E. On the relationship between some extensions of fuzzy set theory. Fuzzy Sets Syst. 2003, 133, 227–235. [Google Scholar]
- <i>Diaz, J.B.; Margolis, B. A fixed point theorem of the alternative for contractions on a generalized complete metric space. Bull. Am. Math. Soc. 1968, 74, 305–309. [Google Scholar]
- <i>Cho, Y.; Rassias, T.M.; Saadati, R. Stability of functional equations in random normed spaces. In Springer Optimaztion and Its Application; Springer: New York, NY, USA, 2013. [Google Scholar]
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