Abstract
In this article, we defined the generalized intuitionistic P-pseudo fuzzy 2-normed spaces and investigated the Hyers stability of m-mappings in this space. The m-mappings are interesting functional equations; these functional equations are additive for m = 1, quadratic for m = 2, cubic for m = 3, and quartic for m = 4. We have investigated the stability of four types of functional equations in generalized intuitionistic P-pseudo fuzzy 2-normed spaces by the fixed point method.
MSC:
39B82; 39B52; 46S40; 47H10
1. Introduction
Functional equations generalize the subject of a modern branch of mathematics. The first articles in the field of functional equations were published by J. D’Alembert during 1747–1750. The apparent simplicity and harmonic nature have caused the subject of functional equations to be studied by many mathematicians. In the fall of 1940, Ulam [1] presented several unsolved problems in his famous speech at the University of Wisconsin. This lecture became the starting point for the theory of stability of functional equations. The question raised by Ulam was as follows: When is it true that a function which approximately satisfies a functional equation D must be close to an exact solution of D? If the problem admits a solution, we say that equation D is stable.
Ulam’s problem was solved by Hyers [2] for additive mappings in 1941, and Hyers’s results were generalized by Rassias [3] for linear mappings by various control functions. The results of Rassias had a great impact on the issue of the stability of functional equations. Today this type of stability is called the Hyers–Ulam–Rassias stability.
Mathematicians have proposed and proved many other theorems in the field of stability by changing the type of functional equation, control function, and space in the above theorem. In some of the articles in this field, the control function has been replaced by another function, and the stability theorem has been re-examined with new conditions. Similarly, by changing the type of functional equation in the above theorem from additive to quadratic, cubic, Jensen, etc., or replacing the functional equation with a differential or integral equation, the conditions of the stability theorem have been investigated and proven. We refer readers to [4,5,6,7,8,9,10,11,12,13] references for consideration of the stability of various functional equations in different spaces.
L. Zadeh [14] proposed the concept of fuzzy sets in 1965. The fuzzy metric space was introduced by Kromosil and Michalek [15]. This space is a generalization of the probabilistic metric space. In 1986, Atanasos [16] founded the concept of intuitionistic fuzzy sets by developing fuzzy sets. The idea of intuitionistic fuzzy normed space by Saadati and Park [17] was introduced in 2006.
In 2012, Gordji et al. [4] introduced the following functional equation
for every fixed integer r with . It is easily proven that satisfies the functional Equation (1). More precisely, if , the functional Equation (1) is additive, if , then it is quadratic, if , then it is the cubic and quartic functional equation, respectively. We call a solution of the functional Equation (1) m-mapping.
Theorem 1
([18]). If is a complete generalized metric space and is a strictly contractive mapping with Lipschitz constant , then for each element , either
for every non-negative integer n, or there exists a such that
- (1)
- for every ;
- (2)
- The sequence , where is a fixed point of ;
- (3)
- is the unique fixed point of in the set .
- (4)
- for every .
Let be a linear space over the field and ★ be a continuous t-norm and ⧫ be a continuous t-conorm, in the following; we define the concepts of fuzzy and anti-fuzzy 2-norm.
Definition 1
([19]). A fuzzy subset μ of is said to be a fuzzy 2-norm on Δ if and only if for , , and the following items hold.
- (FT1)
- if .
- (FT2)
- if and only if are linearly dependent for all .
- (FT3)
- is invariant under any permutation of .
- (FT4)
- , for all and .
- (FT5)
- for all .
- (FT6)
- is a non-decreasing function on and
In this case, the is said to be a fuzzy 2-normed space.
Example 1
([19]). Let be a 2-normed linear space. Define
where and . Then is a fuzzy 2-normed linear space.
Definition 2
([20]). A fuzzy subset ν of is said to be an anti fuzzy 2-norm on Δ if and only if for all , and the following items hold.
- (FN1)
- , for every .
- (FN2)
- if and only if are linearly dependent for all .
- (FN3)
- is invariant under any permutation of .
- (FN4)
- for every .
- (FN5)
- for all
- (FN6)
- is a non-increasing function and
In this case, the is said to be an anti-fuzzy 2-normed linear space.
Example 2
([20]). Let be a 2-normed linear space. Define
where and . Then is an anti-fuzzy 2-normed linear space.
Lemma 1
([20]). We define the set and operation by
for all . Then is a complete lattice.
Definition 3
([20]). A continuous t-norm τ on is said to be continuous t-representable if there is a continuous t-norm ★ and a continuous t-conorm ⧫ on such that, for every
2. Main Results
2.1. Generalized Intuitionistic P-Pseudo Fuzzy 2-Normed Space
In this section, we introduce generalized intuitionistic P-pseudo fuzzy 2-normed space, and then we investigate the stability of functional equations in this space.
Definition 4
([8]). Let Δ be a linear space over the field , μ and ν be a fuzzy 2-norm and anti fuzzy 2-norm, respectively, such that , τ is a continuous representable, and
is a function satisfying the following condition for all and
- (P1)
- for all
- (P2)
- if and only if are linearly dependent for all .
- (P3)
- for all and .
- (P4)
- is invariant under any permutation of .
- (P5)
- for all .
- (P6)
- is continuous and
Then is said to be an intuitionistic fuzzy 2-norm on a linear space Δ, and the 3-tuple is called to be an intuitionistic fuzzy 2-normed space (for short IF2NS).
Example 3.
Let be a 2-normed space,
be a continuous t-representable for all and μ be a fuzzy 2-norm and ν be an anti fuzzy 2-norm. We put
for all in which Then is an IF2NS.
Definition 5
([8]). A sequence in is said to be convergent to a point , if
for all .
Definition 6.
In Definition (4), we replace condition with the following condition; in this case, is called to be an intuitionistic pseudo fuzzy 2-normed space.
for constant .
Definition 7.
The intuitionistic pseudo fuzzy 2-normed space is called generalized intuitionistic P-pseudo fuzzy 2-normed space, if for all , and , the following inequality holds.
Example 4.
Let be a 2-normed space with conditions of Example (3); we define
then is a generalized intuitionistic P-pseudo fuzzy 2-normed space.
It follows from and that in a generalized intuitionistic P-pseudo fuzzy 2-normed space for all and , we have
Therefore, is a non-decreasing function on for all Next, we present the following concepts of convergence and Cauchy sequences in a generalized intuitionistic P-pseudo fuzzy 2-normed space .
Definition 8.
A sequence in Δ is said to be convergent if there exists such that
for all In this case, we write
Definition 9.
A sequence in Δ is called to be Cauchy sequence, if for each and there exists , such that
If any Cauchy sequence is convergent, then generalized intuitionistic P-pseudo fuzzy 2-normed space is said to be complete and the complete generalized intuitionistic P-pseudo fuzzy 2-normed space is said to be a Banach generalized intuitionistic P-pseudo fuzzy 2-normed space.
2.2. Stability of m-Mapping in Generalized Intuitionistic P-Pseudo Fuzzy 2-Normed Space
In this section, using the fixed point theorem, we investigate the stability of m-mapping in a generalized intuitionistic P-pseudo fuzzy 2-normed space. We suppose that and , is a real vector space, and is a Banach generalized intuitionistic P-pseudo fuzzy 2-normed space and is generalized intuitionistic P-pseudo fuzzy 2-normed space. Furthermore, let be a mapping. We define
for all , fixed integer number and .
Theorem 2.
Let be two functions such that for all and , the following relations are satisfied,
moreover,
where and . Let be a function so that
for all and, be a mapping such that,
Then there exists a unique m-mapping such as that satisfied in (1), and
Proof.
Now, we define the set and the function d on it as follows
where . The following shows that is a complete generalized metric space.
- (1)
- It is obvious that d has a symmetry property, i.e., .
- (2)
- Using Definition (11), we haveThe right side of the above definition is satisfied for every then .
- (3)
- Let , using the definition of d, the following inequality holds, for every constant u and .As , by , we havefor all and .
- (4)
that is, the property of triangular inequality holds, then d is a generalized metric on . Next, we show that is a complete generalized metric space. For this, we prove that every Cauchy sequence in is convergent to . Let be fixed and , and be given, such that
Since is a Cauchy sequence in for there exists such that
therefore, we have
Hence, the sequence is a Cauchy sequence in since is a Banach space, so is a convergent sequence. It means that there exists such that
It is enough to show that . Assume that be given. There is such that the following inequality holds for all and .
Fix and , we have
By passing , so
By (11), we can deduce that . Hence, is a complete generalized metric space. Next, we define the mapping by
Assume that , such that , where is an arbitrary constant. Then, by (11) we obtain
Replacing by u in (18), we have
Therefore, using and Definition (6), we have
It means that
Hence,
Therefore, by (11), we have
It means that is a strictly contractive self-mapping on with the Lipschitz constant
Moreover, by (10), we obtain
It follows from (1) that the converges to a fixed point F of . Therefore,
for all and . Furthermore,
Also, F is the unique fixed point of in the set . Hence, there exists a such that
for all and . Furthermore,
It means that (8) holds. It is enough to show that F satisfies (1). Putting , and in (7), we obtain
According to , we have
By letting and using (5) and (23), we have
Thus, F satisfies (3) and as a result, F is an mapping. □
Corollary 1.
Let α be a real positive number with , such that the mappings satisfy in the following inequality, for all and .
Furthermore, suppose that is a function that satisfies
for all . If is a mapping satisfying and the inequality (7), then there exists a unique mapping satisfying (3) such that
for all and .
Proof.
It is similar to the proof of the above theorem. □
Corollary 2.
Let be functions from to χ such that for all and , the following inequality is held.
Furthermore, assume that is a function satisfying
for all . If is a mapping satisfying and the inequality
Then there exists a unique quadratic mapping such that
for all and .
Proof.
Putting and in the above theorem, we can easily show the stability of quadratic functional equations in generalized intuitionistic P-pseudo fuzzy 2-normed space. □
3. Conclusions
In this paper, we defined the generalized intuitionistic P-pseudo fuzzy 2-normed space and investigated its features. Furthermore, we defined the convergent and Cauchy sequences in this space; then, we investigated the stability of m-mapping in this space by the fixed point method. By changing m and choosing the appropriate from Theorem 2.1, we can prove the stability of the additive, cubic and quartic functional equation.
Author Contributions
Methodology, E.M. and M.D.l.S.; validation, M.D.l.S.; investigation, E.M. and M.D.l.S.; writing—original draft, E.M.; project administration, M.D.l.S.; funding acquisition, M.D.l.S. All authors have read and agreed to the published version of the manuscript.
Funding
This work is supported by the Basque Government under Grants IT1555-22 and KK-2022/00090 and MCIN/AEI 269.10.13039/501100011033 under Grant PID2021-1235430B-C21/C22.
Informed Consent Statement
Not applicable.
Data Availability Statement
Not applicable.
Acknowledgments
The authors are grateful to the Basque Government for its support through Grants IT1555-22 and KK-2022/00090 and to MCIN/AEI 269.10.13039/501100011033 for Grant PID2021-1235430B-C21/C22.
Conflicts of Interest
The authors declare no conflict of interest.
References
- Ulam, S.M. Problems in Modern Mathematics; Courier Corporation: North Chelmsford, MA, USA, 2004. [Google Scholar]
- Hyers, H.D. On the stability of the linear functional equation. Proc. Natl. Acad. Sci. USA 1941, 27, 222–224. [Google Scholar] [CrossRef] [PubMed]
- Rassias, T.M. On the stability of the linear mapping in Banach spaces. Proc. Am. Math. Soc. 1978, 72, 297–300. [Google Scholar] [CrossRef]
- Gordji, M.E.; Alizadeh, Z.; Khodaei, H.; Park, C. On approximate homomorphisms: A fixed point approach. Math. Sci. 2012, 6, 1–8. [Google Scholar] [CrossRef]
- Mirmostafaee, A.K.; Mirzavaziri, M.; Moslehian, M.S. Fuzzy stability of the Jensen functional equation. Fuzzy Sets Syst. 2008, 159, 730–738. [Google Scholar] [CrossRef]
- Mirmostafaee, A.K.; Moslehian, M.S. Fuzzy versions of Hyers-Ulam-Rassias theorem. Fuzzy Sets Syst. 2008, 159, 720–729. [Google Scholar] [CrossRef]
- Mosadegh, S.M.S.; Movahednia, E. Stability of preserving lattice cubic functional equation in Menger probabilistic normed Riesz spaces. J. Fixed Point Theory Appl. 2018, 20, 34. [Google Scholar] [CrossRef]
- Movahednia, E.; Mursaleen, M. Stability of a generalized quadratic functional equation in intuitionistic fuzzy 2-normed space. Filomat 2016, 30, 449–457. [Google Scholar] [CrossRef]
- Movahednia, E.; Cho, Y.; Park, C.; Paokanta, S. On approximate solution of lattice functional equations in Banach f-algebras. AIMS Math. 2020, 5, 5458–5469. [Google Scholar] [CrossRef]
- Jung, S.M. Hyers-Ulam-Rassias stability of Jensen’s equation and its application. Proc. Am. Math. Soc. 1998, 126, 3137–3143. [Google Scholar] [CrossRef]
- Park, C.; Gorgji, M.E.; Saadati, R. Random homomorphisms and random derivations in random normed algebras via fixed point method. J. Inequal. Appl. 2012, 194, 1–13. [Google Scholar] [CrossRef]
- Sahoo, P.K.; Palaniappan, K. Introduction to Functional Equations; CRC Press: Boca Raton, FL, USA, 2011. [Google Scholar]
- Salehi, N.; Modarres, S.M.S. A fixed point method for stability of involutions on multi-Banach algebra. J. Fixed Point Theory Appl. 2020, 22, 20. [Google Scholar] [CrossRef]
- Zadeh, L.A. Fuzzy sets. Inf. Control 1965, 8, 338–353. [Google Scholar] [CrossRef]
- Kramosil, I.; Michalek, J. Fuzzy metric and statistical metric spaces. Kybernetika 1975, 11, 326–334. [Google Scholar]
- Atanassov, K.T. Intuitionistic fuzzy sets. Fuzzy Sets Syst. 1986, 20, 87–96. [Google Scholar] [CrossRef]
- Saadati, R.; Park, J.H. On the intuitionistic fuzzy topological spaces. Chaos Solitons Fractals 2006, 27, 331–344. [Google Scholar] [CrossRef]
- Diaz, J.; Margolis, B. A fixed point theorem of the alternative for contractions on a generalized complete metric space. Bull. Amer. Math. Soc. 1968, 74, 305–309. [Google Scholar] [CrossRef]
- Samanta, T.K.; Jebril, I.H. Finite Dimensional Intuitionistic Fuzzy Normed Linear Space. Int. J. Open Probl. Compt. Math. 2009, 4, 574–591. [Google Scholar]
- Mursaleen, M.; Lohani, Q.M.D. Intuitionistic fuzzy 2-normed space and some related concepts. Chaos Solitons Fractals 2009, 42, 224–234. [Google Scholar] [CrossRef]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).