Abstract
In this paper, we proved the general solution in vector space and established the generalized Ulam–Hyers stability of \((a,b;k>0)-\) cubic functional equation
where \(a\ne \pm 1, 0; b\ne \pm 1, 0; k>0\) in Banach space and Intuitionistic fuzzy normed spaces using both direct and fixed point methods.
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1 Introduction
One of the most interesting questions in the theory of functional equations concerning the famous Ulam stability problem is, as follows: when is it true that a mapping satisfying a functional equation approximately, must be close to an exact solution of the given functional equation?
The first stability problem was raised by Ulam [13] during his talk at the University of Wisconsin in 1940. In fact, we are given a group \((G_1,\cdot )\) and let \((G_2,{*})\) be a metric group with the metric \(d(\cdot ,\cdot )\). Given \(\epsilon > 0\), does there exist a \(\delta > 0\), such that if a mapping \(h : G_1 \rightarrow G_2\) satisfies the inequality \(d(h(x\cdot y), h(x) {*} h(y)) < \delta \) for all \(x, y \in G_1\), then there exists a homomorphism \(H : G_1 \rightarrow G_2\) with \(d(h(x),H(x)) < \epsilon \) for all \(x \in G_1\)?
Hyers [3] gave the first affirmative partial answer to the question of Ulam for Banach spaces. It was further generalized via excellent results obtained by a number of authors [1, 2, 8, 10, 11]. The solution and stability of the following cubic functional equations
were investigated by Rassias [9], Jun et al. [4], Jung and Chang [6], Rassias et. al. [5].
Now, we will recall the fundamental results in fixed point theory.
Theorem 1.1
(Banach’s contraction principle) Let (X, d) be a complete metric space and consider a mapping\(T:X \rightarrow X\)which is strictly contractive mapping, that is
-
(\(A_{1}\)) \(d(Tx,Ty)\le L d(x,y)\)for some (Lipschitz constant)\(L<1\). Then,
-
(i)
The mapping T has one and only one fixed point \(x^{*}=T(x^{*});\)
-
(ii)
The fixed point for each given element \(x^{*}\) is globally attractive; that is
-
(i)
-
(\(A_{2}\)) \(lim _{n\rightarrow \infty } T^n x =x^{*},\)for any starting point\(x\in X\);
-
(iii)
The following estimation inequalities hold:
-
(iii)
-
(\(A_{3}\)) \(d(T^n x,x^{*})\le \frac{1}{1-L}~~d(T^nx,T^{n+1}x), \forall ~~ n \ge 0, \forall ~~ x\in X;\)
-
(\(A_{4}\)) \(d(x,x^{*})\le \frac{1}{1-L}~~d(x,x^{*}), \forall ~~ x\in X.\)
Theorem 1.2
[7] (The alternative of fixed point) Suppose that for a complete generalized metric space (X, d) and a strictly contractive mapping\(T:X \rightarrow X\)with Lipschitz constantL. Then, for each given element\(x \in X,\) either
-
(\(B_{1}\)) \(d(T^n x,T^{n+1} x)= \infty \quad \forall ~~n \ge 0,\) or
-
(\(B_{2}\)) there exists a natural number\(n_0\)such that:
-
(i)
\( d(T^n x,T^{n+1} x)< \infty \) for all \(n\ge n_0;\)
-
(ii)
The sequence \({(T^n x)}\) is convergent to a fixed point \(y^{*}\) of T
-
(iii)
\(y^{*}\) is the unique fixed point of T in the set \(Y =\{y \in X : d(T^{n_0} x,y)<\infty \};\)
-
(iv)
\(d(y^ {*} ,y)\le \frac{1}{1-L}~~d(y,Ty)\) for all \(y \in Y.\)
-
(i)
There are many situations where the norm of a vector is not possible to find and the concept of intuitionistic fuzzy norm seems to be more suitable in such cases, that is, we can deal with such situations by modelling the inexactness by intuitionistic fuzzy norm.
In this paper, we established the generalized Ulam–Hyers stability of \((a,b;k>0)-\) cubic functional equation
where \(a\ne \pm 1, 0; b\ne \pm 1, 0; k>0\) in intuitionistic fuzzy normed space using direct and fixed point methods.
2 Solution of the cubic functional Eq. (1.5)
In this section, the general solution of the functional Eq. (1.5) is given. Throughout this section, assume that \(\mathcal {A}_1\) and \(\mathcal {A}_2\) are vector spaces.
Lemma 2.1
If a mapping\(f: \mathcal {A}_1 \rightarrow \mathcal {A}_2\)satisfiesthe functional Eq. (1.5), then the following properties hold
-
(i)
\(f(0)=0\),
-
(ii)
\(f(ax) = a^3 f(x)\), for all\(x \in \mathcal {A}_1\).
-
(iii)
\(f(-y) = - f(y)\), for all\(y \in \mathcal {A}_1\); that is, fis an odd function.
Proof
Letting (x, y) by (0, 0) in (1.5), we get
Since \(a\ne \pm 1, 0; b\ne \pm 1, 0; k>0\), we arrive (i).
Replacing (x, y) by (x, 0) in (1.5), we obtain
for all \(x \in \mathcal {A}_1\). Thus, (ii) holds.
With the help of (ii) and setting x by 0 in (1.5), we get
for all \(y \in \mathcal {A}_1\). Finally, (iii) holds, since \(a\ne \pm 1, 0; b\ne \pm 1, 0; k>0\). Thus f is an odd function. Hence the proof is complete. \(\square \)
3 Stability results in Banach space
In this section, we investigate the generalized Ulam–Hyers stability of the functional Eq. (1.5) in Banach space using direct and fixed point methods.
Throughout this section, let us consider \(\mathcal {Z}_1\) be a normed space and \(\mathcal {Z}_2\) be a Banach space. Define a mapping \(Df_{(a,b;k)}:\mathcal {Z}_1 \longrightarrow \mathcal {Z}_2\) by
where \(a\ne \pm 1, 0; b\ne \pm 1, 0; k>0\) for all \(x,y \in \mathcal {Z}_1\).
3.1 Banach space: direct method
Theorem 3.1
Let\(q = \pm 1\)and\(K:\mathcal {Z}_1^2 \longrightarrow [0,\infty )\)be a function such that
for all\(x,y \in \mathcal {Z}_1\). Let\(Df_{(a,b;k)}:\mathcal {Z}_1 \longrightarrow \mathcal {Z}_2\)be a function fulfilling theinequality
for all\(x,y\in \mathcal {Z}_1\). Then there exists a unique cubic function\(\mathcal {C}:\mathcal {Z}_1 \longrightarrow \mathcal {Z}_2\)which satisfies (1.5) and
where\(\mathcal {C}(x)\)are defined by
for all\(x \in \mathcal {Z}_1\), respectively.
Proof
Case (i): Assume \(q = 1\).
Changing (x, y) by (x, 0) in (3.2), we get
for all \(x \in \mathcal {Z}_1\). It follows from (3.5) that
for all \(x \in \mathcal {Z}_1\). Now replacing x by ax and dividing by \(a^{3}\) in (3.6), we have
for all \(x \in \mathcal {Z}_1\). From (3.6) and (3.7), we obtain
for all \(x \in \mathcal {Z}_1\). Generalizing, for a positive integer p, we obtain
for all \(x \in \mathcal {Z}_1\). To prove the convergence of the sequence \({\left\{ \frac{f(a^px)}{a^{3p}}\right\} },\) replacing x by \(a^sx\) and dividing by \(a^{3s}\) in (3.9), for any \(p,s>0\) , we get
for all \(x \in \mathcal {Z}_1\). Thus it follows that the sequence \({\left\{ \frac{f(a^px)}{a^{3p}}\right\} }\) is a Cauchy in \(\mathcal {Z}_2\) and so it converges. Define a mapping \(\mathcal {C}(x):\mathcal {Z}_1 \rightarrow \mathcal {Z}_2\) by
for all \(x \in \mathcal {Z}_1.\) In order to show that \(\mathcal {C}\) satisfies (1.5), replacing (x, y) by \((a^px, a^py)\) and dividing by \(a^{3p}\) in (3.2), we have
for all \(x,y \in \mathcal {Z}_1\) and hence the mapping \(\mathcal {C}\) is cubic. Taking the limit as p approaches to infinity in (3.9), we find that the mapping \(\mathcal {C}\) is a cubic mapping satisfying the inequality (3.3) near the approximate mapping \(f: \mathcal {Z}_1 \rightarrow \mathcal {Z}_2\) of Eq. (1.5). Hence, \(\mathcal {C}\) satisfies (1.5), for all \(x,y \in \mathcal {Z}_1\).
To prove that \(\mathcal {C}\) is unique, we assume now that there is \(\mathcal {C'}\) as another cubic mapping satisfying (1.5) and the inequality (3.3). Then it is easily proved that
for all \(x\in \mathcal {Z}_1\) and all \(s\in \mathbb {N}\). Thus
for all \(x\in \mathcal {Z}_1\). Therefore, as \(p \rightarrow \infty \) in the above inequality, we get the uniqueness of \(\mathcal {C}\). Hence the theorem holds for \(q=1\).
Case (ii): Assume \(q = -1\). Now replacing x by \({\frac{x}{a}}\) in (3.5), we get
for all \(x \in \mathcal {Z}_1\). The rest of the proof is similar to that of case \(q=1\). Hence for \(q=-1\) also the theorem holds. This completes the proof. \(\square \)
The following corollary is an immediate consequence of Theorem 3.1 concerning the stabilities of (1.5).
Corollary 3.2
Let\(Df_{(a,b;k)}:\mathcal {Z}_1 \longrightarrow \mathcal {Z}_2\)be a mapping. If there exist real numbers\(\beta \)andtsuch that
for all\(x,y \in \mathcal {Z}_1\), then there exists a unique cubic function\(\mathcal {C}:\mathcal {Z}_1 \longrightarrow \mathcal {Z}_2\)such that
for all\(x\in \mathcal {Z}_1.\)
Using Theorem 1.2, we obtain the generalized Ulam–Hyers stability of (1.5).
3.2 Banach space: fixed point method
Theorem 3.3
Let\(Df_{(a,b;k)}:\mathcal {Z}_1 \longrightarrow \mathcal {Z}_2\)be a mapping for which there exists a function\(K: \mathcal {Z}_1^2 \longrightarrow [0, \infty )\)with the condition
where
such that the functional inequality
holds for all\(x,y \in \mathcal {Z}_1\). Assume that there exists\(L=L(i)\)such that the function
with the property
for all\(x \in \mathcal {Z}_1\). Then there exists a unique cubic mapping\(\mathcal {C} : \mathcal {Z}_1 \longrightarrow \mathcal {Z}_2\)satisfying the functional Eq. (1.5) and
for all\(x \in \mathcal {Z}_1\).
Proof
Consider the set
and introduce the generalized metric on \(\mathcal {A}\),
It is easy to see that (3.18) is complete with respect to the defined metric. Define \(J:\mathcal {A} \longrightarrow \mathcal {A} \) by
for all \(x\in \mathcal {Z}_1\). Now, from (3.18) and \(h,f \in \mathcal {A}\)
This implies J is a strictly contractive mapping on \( \mathcal {A}\) with Lipschitz constant L. It follows from (3.18), (3.6) and (3.16) for the case \(i=0\), we reach
Again replacing \(x=\frac{x}{a}\) in (3.19) and (3.16) for the case \(i=1\), we get
Thus, from (3.20) and (3.21), we arrive
Hence property (FP1) holds. It follows from property (FP2) that there exists a fixed point \(\mathcal {C}\) of J in \(\mathcal {A}\) such that
for all \(x \in \mathcal {Z}_1\). In order to show that \(\mathcal {C}\) satisfies (1.5), replacing (x, y) by \((\delta _i^nx, \delta _i^ny)\) and dividing by \(\delta _i^{3n}\) in (3.15), we have
for all \(x,y \in \mathcal {Z}_1\), and so the mapping \(\mathcal {C}\) is cubic. i.e., \(\mathcal {C}\) satisfies the functional Eq. (1.5). By property (FP3), \(\mathcal {C}\) is the unique fixed point of J in the set
such that
Finally by property (FP4), we obtain
This implies
which yields
So, the proof is completed. \(\square \)
Using Theorem 3.3, we prove the following corollary concerning the stabilities of (1.5).
Corollary 3.4
Let\(Df_{(a,b;k)}:\mathcal {Z}_1 \longrightarrow \mathcal {Z}_2\)be a mapping. If there exist real numbers\(\Theta \)and\(\rho \)such that
for all\(x,y \in \mathcal {Z}_1\), then there exists a unique cubic function\(\mathcal {C}:\mathcal {Z}_1 \rightarrow \mathcal {Z}_2\)such that
for all\(x\in \mathcal {Z}_1.\)
Proof
Let
for all \(x,y\in \mathcal {Z}_1\). Now
Thus, (3.13) holds. But, we have
has the property
for all \(x \in \mathcal {Z}_1\). Hence,
for all \(x \in \mathcal {Z}_1\). It follows from (3.26),
Now, from (3.17), we prove the following cases for condition (i).
Also, from (3.17), we prove the following cases for condition (ii).
Finally, the proof of (3.17) for condition (iii) is similar to that of condition (ii). Hence the proof is complete. \(\square \)
4 Intuitionistic fuzzy normed space stability results
In this section, we investigate the generalized Ulam–Hyers stability of the functional Eq. (1.5) in Intuitionistic Fuzzy Normed Space using direct and fixed point methods.
Now, we recall the basic definitions and notations in Intuitionistic Fuzzy Normed Space.
Definition 4.1
A binary operation \({*} : \left[ 0,1\right] \times \left[ 0,1\right] \rightarrow \left[ 0,1\right] \) is said to be continuous \(t-\) norm if \({*}\) satisfies the following conditions:
-
(1)
\({*}\) is commutative and associative;
-
(2)
\({*}\) is continuous;
-
(3)
\(a{*}1=a\) for all \(a\in \left[ 0,1\right] \);
-
(4)
\(a{*} b\le c{*} d \) whenever \(a\le c\) and \(b\le d\) for all \(a, b, c, d \in \left[ 0, 1\right] .\)
Definition 4.2
A binary operation \({\diamond } : \left[ 0,1\right] \times \left[ 0,1\right] \rightarrow \left[ 0,1\right] \) is said to be continuous \(t-\) conorm if \({\diamond }\) satisfies the following conditions:
-
(1’)
\({\diamond }\) is commutative and associative;
-
(2’)
\({\diamond }\) is continuous;
-
(3’)
\(a{\diamond }0=a\) for all \(a\in \left[ 0,1\right] \);
-
(4’)
\(a{\diamond } b\le c{\diamond } d \) whenever \(a\le c\) and \(b\le d\) for all \(a, b, c, d \in \left[ 0, 1\right] .\)
Using the notions of continuous \(t-\) norm and \(t-\) conorm, Saadati and Park [12] introduced the concept of intuitionistic fuzzy normed space as follows:
Definition 4.3
The five-tuple \((X, {\mu }, {\nu }, {*}, {\diamond })\) is said to be an Intuitionistic Fuzzy Normed Space (for short, IFNS) if X is a vector space, \({*}1\) is a continuous \(t-\) norm, \({\diamond }\) is a continuous \(t-\) conorm, and \({\mu }, {\nu }\) are fuzzy sets on \(X\times (0,\infty )\) satisfying the following conditions. For every \(x, y \in X\) and \(s, t > 0\)
-
(IFN1)
\({\mu }(x, t)+{\nu }(x, t) \le 1\),
-
(IFN2)
\({\mu }(x, t)>0\),
-
(IFN3)
\({\mu }(x, t)=1\), if and only if \(x=0\).
-
(IFN4)
\({\mu }(\alpha x, t)= {\mu }\left( x,\frac{t}{\alpha }\right) \) for each \(\alpha \ne 0\),
-
(IFN5)
\({\mu }(x,t) {*} {\mu }(y,s) \le {\mu }(x+y,t+s)\),
-
(IFN6)
\({\mu }(x,\cdot ): (0, \infty ) \rightarrow [0,1]\) is continuous,
-
(IFN7)
\(\lim \limits _{t \rightarrow \infty } {\mu }(x, t) = 1\) and\(\lim \limits _{t \rightarrow 0} {\mu }(x, t) = 0\),
-
(IFN8)
\({\nu }(x, t)<1\),
-
(IFN9)
\({\nu }(x, t)=0\), if and only if \(x=0\).
-
(IFN10)
\({\nu }(\alpha x, t)= {\nu }\left( x,\frac{t}{\alpha }\right) \) for each \(\alpha \ne 0\),
-
(IFN11)
\({\nu }(x,t) {\diamond } {\nu }(y,s) \ge {\nu }(x+y,t+s)\),
-
(IFN12)
\({\nu }(x,\cdot ): (0, \infty ) \rightarrow [0,1]\) is continuous,
-
(IFN13)
\(\lim \limits _{t \rightarrow \infty } {\nu }(x, t) = 0\) and \(\lim \limits _{t \rightarrow 0}~ {\nu }(x, t) = 1\).
In this case, \(({\mu } ,{\nu }) \) is called an intuitionistic fuzzy norm.
Example 4.4
Let \(\left( X,\left\| \cdot \right\| \right) \) be a normed space. Let \(a{*} b =ab\) and \(a{\diamond } b=\min \left\{ a+b,1\right\} \) for all \(a, b \in [0,1]\). For all \(x \in X\) and every \(t>0\), consider
Then \(\left( {X,{\mu },{\nu },{*},{\diamond }} \right) \) is an IFN-space.
The concepts of convergence and Cauchy sequences in an intuitionistic fuzzy normed space are studied in [12].
Definition 4.5
Let \(\left( {X,{\mu },{\nu },{*},{\diamond }}\right) \) be an IFNS. Then, a sequence \(x=\{x_k\}\) is said to be intuitionistic fuzzy convergent to a point \(L \in X\) if
for all \(t>0\). In this case, we write
Definition 4.6
Let \(\left( {X,{\mu },{\nu },{*},{\diamond }} \right) \) be an IFN-space. Then, \(x=\{x_k\}\) is said to be intuitionistic fuzzy Cauchy sequence if
for all \(t>0\), and \(p = 1,2, \ldots \).
Definition 4.7
Let \(\left( {X,{\mu },{\nu },{*},{\diamond }} \right) \) be an IFN-space. Then \(\left( {X,{\mu },{\nu },{*},{\diamond }} \right) \) is said to be complete if every intuitionistic fuzzy Cauchy sequence in \(\left( {X,{\mu },{\nu },{*},{\diamond }}\right) \) is intuitionistic fuzzy convergent \(\left( {X,{\mu },{\nu },{*},{\diamond }} \right) \).
Hereafter, throughout this section, assume that X is a linear space, \(\left( Z,{\mu }',{\nu }'\right) \) is an intuitionistic fuzzy normed space and \(\left( Y,{\mu },{\nu }\right) \) an intuitionistic fuzzy Banach space. Now, we use the following notation for a given mapping \(Df_{(a,b;k)}:X \rightarrow Y\) such that
where \(a\ne \pm 1, 0; b\ne \pm 1, 0; k>0\) for all \(x,y \in X.\)
4.1 IFNS: direct method
Theorem 4.8
Let\(\tau \in \{1,-1\}\). Let\(K :X \times X \rightarrow Z\)be a function such that for some\(0<\left( {\frac{p}{a}}\right) ^{\tau }< 1\),
for all\(x \in X\)and all\(r > 0\)and
for all\(x,y\in X\)and all\(r>0\). Let\(Df_{(a,b;k)}:X \rightarrow Y\)be a function satisfying the inequality
for all \(x,y \in X\)and all\(r > 0\). Then there exists a unique cubic mapping\(N:X \rightarrow Y\)satisfying (1.5) and
for all\(x \in X\)and all\(r > 0\).
Proof
Let \(\tau =1\). Replacing (x, y) by (x, 0) in (4.3), we get
for all \(x \in X\) and all \(r > 0\). Using (IFN4) in (4.5), we arrive
for all \(x \in X\) and all \(r > 0\). Replacing x by \(a^nx\) in (4.6), we have
for all \(x \in X\) and all \(r > 0\). It is easy to verify from (4.7) and using (4.1), (IFN4) that
for all \(x \in X\) and all \(r > 0\). Replacing r by \(p^nr\) in (4.8), we have
for all \(x \in X\) and all \(r > 0\). It is easy to see that
for all \(x \in X\). From Eqs. (4.8) and (4.9), we have
for all \(x \in X\) and all \(r > 0\). From Eqs. (4.10) and (4.11), we have
where
for all \(x \in X\) and all \(r > 0\). Hence
for all \(x \in X\) and all \(r > 0\). Replacing x by \(a^mx\) in (4.13) and using (4.2), (IFN4), we obtain
for all \(x \in X\) and all \(r > 0\) and all \(m,n \ge 0\). Replacing r by \(p^mr\) in (4.14), we get
for all \(x \in X\) and all \(r > 0\) and all \(m,n \ge 0\). It follows from (4.16), that
holds for all \(x \in X\) and all \(r>0\) and all \(m,n \ge 0\). Since \(0<p<3\) and \(\sum \nolimits _{i=0}^n \left( \frac{p}{3}\right) ^i < \infty \). The Cauchy criterion for convergence in IFNS shows that \({\left\{ \frac{f(a^nx)}{a^{3n}}\right\} }\) is a Cauchy sequence in \(\left( {Y,{\mu },{\nu }}\right) \). Since \(\left( {Y,{\mu },{\nu }}\right) \) is a complete IFN-space this sequence converges to some point \(C\left( x \right) \in Y\). So, one can define the mapping \(C:X \rightarrow Y\) by \({\left\{ \frac{f(a^nx)}{a^{3n}}\right\} }\)
for all \(x \in X\) and all \(r>0\). Hence
Letting \(m=0\) in (4.16), we arrive
for all \(x \in X\) and all \(r>0\). Letting n tend to infinity in (4.17), we have
for all \(x \in X\) and all \(r>0\). To prove C satisfies (1.5), replacing (x, y) by \((a^nx,a^ny)\) in (4.3) respectively, we obtain
for all \(x \in X\) and all \(r>0\). Now,
and
for all \(x,y \in X\) and all \(r>0\). Since
for all \(x \in X\) and all \(r>0\). Letting \(n \rightarrow \infty \) in (4.20), (4.21) and using (4.22), we observe that C fulfills (1.5). Therefore C is a cubic mapping.
In order to prove C(x) is unique, let \(C'(x)\) be another cubic functional equation satisfying (1.5) and (4.4). Hence,
for all \(x \in X\) and all \(r>0\). Since
we obtain
for all \(x \in X\) and all \(r>0\). Thus
for all \(x \in X\) and all \(r>0\). Hence \(C(x)=C'(x)\). Therefore C(x) is unique.
For \(\tau =-1\), we can prove the similar stability result. This completes the proof of the theorem. \(\square \)
The following corollary is an immediate consequence of Theorem 4.8, regarding the stability of (1.5)
Corollary 4.9
Suppose that a function\(Df_{(a,b;k)}:X \rightarrow Y\)satisfies the double inequality
for all\(x,y \in X\)and all\(r>0\), where\(\lambda , s\)are constants with\(\lambda >0\). Then there exists a unique cubic mapping\(C: X \rightarrow Y\)such that
for all\(x \in X\)and all\(r>0\).
4.2 IFNS: fixed point method
Theorem 4.10
Let\(Df_{(a,b;k)}:X \rightarrow Y\)be a mapping for which there exists a function\(K :X \times X \rightarrow Z\)with the double condition
for all\(x,y \in X\)and all\(r > 0\)where
and satisfying the double functional inequality
for all\(x,y \in X\)and all\(r > 0\). If there exists\(L=L(i)\)such that the function
has the property
for all\(x\in X\)and all\(r > 0\), then there exists a unique cubic function\(C:X\rightarrow Y\)satisfying the functional Eq. (1.5) and
for all\(x\in X\)and all\(r > 0\).
Proof
Consider the set
and introduce the generalized metric on \(\Lambda \),
It is easy to see that (4.30) is complete with respect to the defined metric. Define \(J:\Lambda \rightarrow \Lambda \) by
for all \(x\in \mathcal {X}\). Now, from (4.30) and \(h,f \in \Lambda \)
This implies J is a strictly contractive mapping on \( \Lambda \) with Lipschitz constant L.
It follows from (4.30), (4.5), we reach
for all \(x \in X\) and all \(r > 0\). Now, from (4.31) and (4.28) for the case \(i=0\), we reach
for all \(x \in X\) and all \(r > 0\). Again replacing x by \({\frac{x}{a}}\) in (4.33) and (4.28) for the case \(i=1\), we get
Thus, from (4.31) and (4.33), we arrive
Hence property (FP1) holds. The rest of the proof is similar to that of Theorem 3.3. \(\square \)
The following corollary is an immediate consequence of Theorem 4.10, regarding the stability of (1.5).
Corollary 4.11
Suppose that a function\(Df_{(a,b;k)}:X \rightarrow Y\)satisfies the double inequality
for all\(x,y \in X\)and all\(r>0\), where\(\lambda , s\)are constants with\(\lambda >0\). Then there exists a unique cubic mapping\(C: X \rightarrow Y\)such that the double inequality
holds for all\(x \in X\)and all\(r>0\).
Proof
Set
for all \(x \in X\) and all \(r>0\). Thus, the relation (4.25) holds. It follows from (4.28), (4.29) and (4.35)
for all \(x,y \in X\) and all \(r>0\). Also from (4.28), we have
for all \(x\in X\) and all \(r > 0\). Hence, the inequality (4.29) is true for
Now, for condition 1. and \(i=0\), we have
for all \(x\in X\) and all \(r > 0\). Also, for condition 1. and \(i=1\), we get
for all \(x\in X\) and all \(r > 0\). Again, for condition 2. and \(i=0\), we obtain
for all \(x\in X\) and all \(r > 0\). Also, for condition 2. and \(i=1\), we arrive
for all \(x\in X\) and all \(r > 0\). The rest of the proof is similar to that of previous cases. This finishes the proof. \(\square \)
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Karthikeyan, S., Rassias, J.M., Arunkumar, M. et al. Generalized Ulam–Hyers stability of (a, b; k > 0)-cubic functional equation in intuitionistic fuzzy normed spaces. J Anal 27, 391–415 (2019). https://doi.org/10.1007/s41478-018-0083-8
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DOI: https://doi.org/10.1007/s41478-018-0083-8
Keywords
- Cubic functional equation
- Generalized Ulam–Hyers stability
- Banach space
- Intuitionistic fuzzy normed space
- Fixed point