Abstract
In this paper some results about the Hyers-Ulam-Rassias stability for thelinear functional equations in general form and its Pexiderized can beproved for given functions on general domain to a complex Banach spacesunder some suitable conditions. In connection with the problem of G. L.Forti in the 13st ICFEI we consider the common stability for the systems offunctional equations and our aim is to establish some commonHyers-Ulam-Rassias stability for systems of homogeneous linear functionalequations. The results is applied to the study of some superstabilityresults for the exponential functional equation.
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Introduction
The starting point of the stability theory of functional equations was the problemformulated by S. M. Ulam in 1940 (see [1]), during a conference at Wisconsin University:
Let(G,.)be a group(B,.,d)be ametric group. Does for every ε > 0, there exists a δ > 0 such that if a function f : G → B satisfies the inequality
there exists a homomorphism g : G → B such that
In 1941, D.H. Hyers [2] gave an affirmative partial answer to this problem. This is the reasonfor which today this type of stability is called Hyers-Ulam stability of functionalequation. In 1950, Aoki [3] generalized Hyers’ theorem for approximately additive functions. In1978, Th. M. Rassias [4] generalized the theorem of Hyers by considering the stability problemwith unbounded Cauchy differences. Taking this fact into account, the additivefunctional equation f(x + y) = f(x) +f(y) is said to have the Hyers-Ulam-Rassias stability on(X,Y). This terminology is also applied to the case of otherfunctional equations. On the other hand, J. M. Rassias [5–7] considered the Cauchy difference controlled by a a product of differentpowers of norm. However, there was a singular case; for this singularity acounterexample was given by P. Gavruta [8]. This stability is called Ulam-Gavruta-Rassias stability. In addition, J.M. Rassias considered the mixed product-sum of powers of norms as the controlfunction. This stability is called J.M.Rassias stability (see also [9–12]). For more detailed definitions of such terminologies one can refer to [13] and [14]. Thereafter, the stability problem of functional equations has beenextended in various directions and studied by several mathematicians (see, e.g., [15–29]).
The Hyers-Ulam stability of mappings is in development and several authors haveremarked interesting applications of this theory to various mathematical problems.In fact the Hyers-Ulam stability has been mainly used to study problems concerningapproximate isometries or quasi-isometries, the stability of Lorentz and conformalmappings, the stability of stationary points, the stability of convex mappings, orof homogeneous mappings, etc [30–34].
Of the most importance is the linear functional equation in general form (see [35])
where ρ, p and q are given functions on an intervalI and f is unknown. When q(x) ≡ 0this equation, i.e.,
is called homogeneous linear equation. We refer the reader to [35, 36] for numerous results and references concerning this equation and itsstability in the sense of Ulam.
In 1991 Baker [37] discussed Hyers-Ulam stability for linear equations (1.1). Moreconcretely, the Hyers-Ulam stability and the generalized Hyers-Ulam-Rassiasstability for equation
were discussed by Lee and Jun [38]. Also the gamma functional equation is a special form of homogeneouslinear equation (1.2) were discussed by S. M. Jung [39–41] proved the modified Hyers-Ulam stability of the gamma functionalequation. Thereafter, the stability problem of gamma functional equations has beenextended and studied by several mathematicians [42–46].
Throughout this paper, assume that X is a nonempty set, or and B is a Banach spaces over F and also , f,g : X → B, p: X → F∖{0} and q : X→ B are functions and also σ : X→ X is a arbitrary map.
In the first section of this paper, we present some results about Hyers-Ulam-Rassiasstability via a fixed point approach for the linear functional equation in generalform (1.1) and its Pexiderized
under some suitable conditions. Note that the main results of this paper can beapplied to the well known stability results for the gamma, beta, Abel,Schrö der, iterative and G-function type’s equations, andalso to certain other forms.
In 1979, another type of stability was observed by J. Baker, J. Lawrence and F.Zorzitto [47]. Indeed, they proved that if a function is approximately exponential,then it is either a true exponential function or bounded. This result was the firstresult concerning the superstability phenomenon of functional equations see also [48–51]). Later, J. Baker [52] (see also [51]) generalized this famous result as follows:
Let (S,·) be an arbitrary semigroup, and let f map Sinto the field C of all complex numbers. Assume that f is anapproximately exponential function, i.e., there exists a nonnegative numberε such that
for all x,y ∈ S. Then f is either boundedor exponential.
The result of Baker, Lawrence and Zorzitto [47] was generalized by L. Székelyhidi [53] in another way and he obtained the following result.
Theorem 1.1
[53] Let (G,.) be an Abelian group with identity and let be functions such that there exist functions M1,M2:→[0,∞) with
for all x,y ∈ G. Then either f isbounded or m is an exponential and f(x) =f(1)g(x) for all x ∈ G.
During the thirty-first International Symposium on Functional Equations, Th. M.Rassias [54] introduced the term mixed stability of the function (or ), where E is a Banach space, with respect to twooperations ‘addition’ and ‘multiplication’ among any twoelements of the set {x y f(x),f(y)}. Especially, he raised an openproblem concerning the behavior of solutions of the inequality
During the 13st International Conference on Functional Equations and Inequalities2009, G. L. Forti posed following problem.
Problem. Consider functional equations of the form
and
where all parameters are real and f : R → R. Assumethat the two functional equations are equivalent, i.e., they have the same set ofsolutions. Can we say something about the common stability? More precisely, if (1.5)is stable, what can we say about the stability of (1.6). Under which additionalconditions the stability of (1.5) implies that of (1.6)?
In connection the above problem we consider the term of common stability for systemsof functional equations. In this paper, Usually the functional equations
is said to have common Hyers-Ulam stability if for a common approximate solutionf s such that
for some fixed constant δ1,δ2 ≥ 0 there exists a common solution f of equations (1.7)and (1.8) such that
for some positive constant ε.
In the last section of this paper, In connection with the problem of G. L. Forti weconsider some systems of homogeneous linear equations and our aim is to establishsome common Hyers-Ulam-Rassias stability for these systems of functional equations.As a consequence of these results, we give some superstability results for theexponential functional equation. Furthermore, in connection with problem of Th. M.Rassias, we generalized the theorem of Baker, Lawrence and Zorzitto and theorem ofL. Székelyhidi.
For the reader’s convenience and explicit later use, we will recall twofundamental results in fixed point theory.
Definition 1.2
The pair (X,d) is called a generalized complete metric space ifX is a nonempty set and d : X2 → [0,∞] satisfies the following conditions:
-
1.
d(x,y) ≥ 0 and the equality holds if and only if x = y;
-
2.
d(x,y) = d(y,x);
-
3.
d(x,z) ≤ d(x,y) + d(y,z);
-
4.
every d-Cauchy sequence in X is d-convergent.
for all x,y ∈ X.
Note that the distance between two points in a generalized metric space is permittedto be infinity.
Definition 1.3
Let (X,d) be a metric space. A mapping J : X→ X satisfies a Lipschitz condition with Lipschitzconstant L ≥ 0 if
for all x,y ∈ X. If L<1, thenJ is called a strictly contractive map.
Theorem 1.4
(Banach’s contraction principle) Let (X, d) be a complete metric space andlet J : X → X be strictly contractive mapping.Then
-
1.
the mapping J has a unique fixed point x ∗ = J(x ∗);
-
2.
the fixed point x ∗ is globally attractive, i.e.,
for any starting point x ∈ X;
-
3.
one has the following estimation inequalities:
for all nonnegative integers n and all x ∈X.
Theorem 1.5
[55] Let (X,d) be a generalized complete metric spaceand J : X → X be strictly contractive mapping.Then for each given element x ∈ X, either
for all nonnegative integers n or there exists a positive integern0 such that
-
1.
d(J n(x),J n + 1(x)) < ∞, for all n≥ n 0;
-
2.
the sequence {J n(x)} converges to a fixed point y ∗ of J;
-
3.
y ∗ is the unique fixed point of J in the set ;
-
4.
.
Stability of the linear functional equation and its Pexiderized
In this section, First we consider the Hyers-Ulam-Rassias stability via a fixed pointapproach for the linear functional equation (1.1) and then applying these result wewill investigate Pexiderized linear functional equation (1.4).
Theorem 2.1
Let f:X → B be a function and
for all x ∈ X. If there exists a real 0 < L< 1 such that
for all x ∈ X. Then there is an unique function T: X → B such thatT(ρ(x)) =p(x)T(x) + q(x) and
for all x ∈ X.
Proof
Let us consider the set and introduce the generalized metric on :
It is easy to show that is generalized complete metric space. Now we define thefunction with
for all and x ∈ X. Sinceψ(ρ(x)) ≤L|p(ρ(x))|ψ(x)for all x ∈ X and ρ is a surjection map,so
for all , that is J is a strictly contractive selfmapping of , with the Lipschitz constant L (note that 0 <L < 1). From (2.1), we get
for all x ∈ X, which says thatd(J(f),f) ≤ 1 <∞. So, by Theorem (1.4), there exists a mapping T :X→ B such that
-
1.
T is a fixed point of J, i.e.,
(2.3)for all x ∈ S. The mapping T is a unique fixedpoint of J in the set . This implies that T is a unique mapping satisfying(2.3) such that there exists C ∈ (0,∞) satisfying
for all x∈ X.
-
2.
d(J n(f),T) → 0 as n→∞. This implies that
for all x ∈ X.
-
3.
, which implies,
or
for all x ∈ X.
Z. Gajda in his paper [56] showed that the theorem of Th. Rassias [4] is false for some special control function and give the following co-counterexample.
Theorem 2.2
Let be a function and
for all and some θ > 0. But there is no constantδ ∈ [0,∞) and no additive function satisfying the condition
for all .
With the above Theorem, its easy to show that the following result.
Corollary 2.3
Let be a function and
for all . But there is no constant δ ∈[0,∞) and no function satisfying the conditions
for all .
Its obvious that the above corollary is a counterexample for the Theorem (2.1), whenL = 1.
With Theorem (2.1), its easy to show that the following Corollary.
Corollary 2.4
Let f : X → B be a function and
for all x ∈ X and some δ > 0. If a≤ |p(x)| for all x ∈ X andsome real a > 1, then there is an unique function T :X→ B such that T(ρ(x))= p(x)T(x) + q(x)
for all x ∈X.
Similarly we prove that a Hyers-Ulam-Rassias stability for the linear functionalequation with another suitable conditions.
Theorem 2.5
Let f : X → B be a function and
for all x ∈ X. Let there exists a positive real L< 1 such that
for all x ∈ X and also ρ be a permutationof X. Then there is an unique function T : X→ B such that T(ρ(x))= p(x)T(x) + q(x)
for all x ∈ X.
Proof
Let us consider the set and introduce the generalized metric on :
It is easy to show that is generalized complete metric space. Now we define thefunction with
for all and x ∈ X. Since|p(x)|ψ(ρ−1(x)) ≤ Lψ(x) for allx ∈ X, so
for all , that is J is a strictly contractive selfmapping of , with the Lipschitz constant L (note that 0 <L < 1). From (2.10), we get
for all x ∈ X, which says thatd(J(f),f) ≤ 1 <∞. So, by Theorem (1.4), there exists a mapping T :X → B such that
-
1.
T is a fixed point of J, i.e.,
(2.12)for all x ∈ S. The mapping T is a unique fixedpoint of J in the set . This implies that T is a unique mapping satisfying(2.12) such that there exists C ∈(0,∞) satisfying
for all x ∈ X.
-
2.
d(J n(f),T) → 0 as n → ∞. This implies that
for all x ∈ X and in the above formula, we setp(ρ−i(x)) := 1, when i = 0.
-
3.
, which implies,
for all x ∈ X.
Similar to the Corollary (2.3), we get the following result, where itscounterexample for the Theorem (2.5), when L = 1.
Corollary 2.6
Let be a function and
for all . But there is no constant δ ∈[0,∞) and no function satisfying the conditions
for all .
Corollary 2.7
Let f : X → B be a function and
for all x ∈ X and some δ > 0. If|p(x)| ≤ L for all x ∈X and some real 0 < L < 1, then there is an uniquefunction T :X → B such thatT(ρ(x)) =p(x)T(x) + q(x)
for all x ∈ X.
Corollary 2.8
Let f : X → B be a function such that Xbe a normed linear space over F and
for all x ∈ X, in which p ∈ R,a ∈ F. If p ≤ 0, |a| > 1and |k| > 1 or p ≤ 0, |a| < 1 and|k| < 1 or p ≥0, |a| > 1 and|k| < 1 or p ≥ 0, |a| < 1 and|k| > 1, then there is a unique function T such thatT(ax) = aT(x)
for all x ∈ X.
Proof
Set ρ(x) := ax and ψ(x) :=∥x∥pfor all x ∈ X and then apply Theorem (2.1) andTheorem (2.5).
Now in the following we consider the Hyers-Ulam-Rassias stability of Pexiderizedlinear functional equation (1.4).
Theorem 2.9
Let f,g : X → B be a function and
for all x ∈ X. If there exists a positive realL<1 such that
for all x ∈ X. Then there is an function T suchthat T(ρ(x)) =p(x)T(x) + q(x)
for all x ∈ X, in which for all x ∈ X.
Proof
Applying (2.18), we get
for all x ∈ X. From (2.19) and (2.20), its easy to showthat the following inequality
for all x ∈ X. So, by Theorem (2.1), there is an uniquefunction T : X → B such thatT(ρ(x)) =p(x)T(x) + q(x)
for all x ∈ X. So from the above inequality, we have
for all x ∈ X. We show that T is a linearequation, thus from the above inequality and (2.18), we get
for all x ∈ X. The proof is complete.
Common stability for the systems of homogeneous linear equations
Throughout this section, assume that {p i : X → F∖{0}}i ∈ I, {ρ i :X → X}i ∈ I and be three family of functions. Here i is a variableranging over the arbitrary index set I. Also we define the functionsPi,n: X → F∖{0} and with
and
for a family of positive reals {L i }i∈I, all x ∈ X, any index i and positive integern.
In this section, we consider some systems of homogeneous linear equations
and our aim is to establish some common Hyers-Ulam-Rassias stability for thesesystems of functional equations. As a consequence of these results, we give somegeneralizations of well-known Baker’s superstability result for exponentialfunctional equation to the a family of functional equations. Note that the followingTheorem is partial affirmative answer to problem 1, in the 13st ICFEI.
Theorem 3.1
Let f : X → B be a function and
for all x ∈ X and i ∈ I. Assumethat
-
1.
there exists a family of positive reals {L i }i∈Isuch that L i < 1 and
for all x ∈ X and i ∈ I;
-
2.
ρ i ∘ρ j = ρ i ∘ρ j for all i,j ∈ I;
-
3.
p i (ρ j (x)) = p i (x) for all distinct i,j ∈ I;
-
4.
for all x ∈ X and every distinct i,j ∈ I.
Then there is a unique function T such that
for all x ∈ X and i ∈ I and also
for x ∈ X.
Proof
It follows from (2.1), there is an unique set of functions T i : X →B such that T i (ρ i (x)) = p i (x)T i (x)
for all x ∈ X. Moreover, The function T i is given by
for all x ∈ X and any fixed i ∈I. In the proof of Theorem (2.1), we show that
By induction, its easy to show that
which means that
for all x ∈ X and i ∈ I. Now weshow that T i = T j for any i,j ∈ I. Let i andj be two arbitrary fixed indexes of I. So, from lastinequality, we obtain
for all x ∈ X. On the replacing x by in (3.3) and x by in (3.4), we have
for all x ∈ X. From assumption (3.1), its obvious that , and for all x ∈ X. So, Combining (3.5) and(3.6), we have
or
for all x ∈ X. From assumption for all x ∈ X and every distincti,j ∈ I, so, its implies that T i = T j .
Now set T = T i and since for all x ∈ X and all x∈ I, there is a unique function T such that
for all x ∈ X and i ∈ I and also
for x ∈ X.
Corollary 3.2
Let f : X → B be a function and
for all x ∈ X and i ∈ I, where{c i }i∈I and {δ i }i∈I are two family of real numbers such that δ i ≥ 0 and |c i | > 1. Assume that ρ i ∘ρ j = ρ i ∘ρ j for all i,j ∈ I and also
for all x ∈ X and any i ∈ I,then there is a unique function T such that
for all x ∈ X and i ∈ I and also
for x ∈ X.
Proof
Sets p i := c i and ψ i := δ i and applying Theorem (3.1).
In the following, the results are applied to the study of some superstability resultsfor the exponential functional equation.
Theorem 3.3
Let (S, + ) be an commutative semigroup and satisfying
for all x,y ∈ S, where is function. Let g be a unbounded function and
for all x,y ∈ S and i ∈I, where I = {i ∈ S|∥g(i)| > 1}. Then f(x +y) = g(y)f(x) for allx,y ∈ S.
Proof
Let g be a unbounded function and I = {i ∈S ∥ |g(i)| > 1}, then sets ρ i (x) := x + i, c i := g(i) and ψ i := ϕ(x,i) for all x ∈S and any i ∈ I. Since ρ i ρ j = ρ i ρ j and ψ i (ρ i (x)) ≤ ψ i (x) for all x ∈ S and any i∈ I , so by Corollary (3.2), there is an unique functionT such that
for all x ∈ X and i ∈ I and also
for x ∈ X. Since g is a unbounded function,from last inequality T = f, which implies that
or
for all x ∈ S and i ∈ I. On thereplacing x by x + ni in (3.8)
or
for all x,y ∈ S, any fixed i∈ I and positive integer n. From equation(3.9), its easy to show that f(x + ni) =g(i)nf(x) and ϕ(x + ni,y)≤ ϕ(x,y) for all x∈ S, any fixed i ∈ I andpositive integer n. So, we have
for all x,y ∈ S, any fixed i∈ I and positive integer n (note that|g(i)| > 1), which implies that f(x+ y) = g(y)f(x) for allx,y ∈ S. The proof is complete.
With the above Theorem, its obvious that the following corollaries.
Corollary 3.4
Let (S, + ) be a commutative semigroup and f,g :S→ C satisfying
for all x,y ∈ S and some δ >0. Then g is either bounded or f(x + y)= g(y)f(x) for all x,y∈ S.
Corollary 3.5
Let (S, + ) be a commutative semigroup and f : S→ C satisfying
for all x,y ∈ S. Then f is eitherbounded or f is exponential.
Endnote
2000 Mathematics Subject Classification. Primary 39B72, 39B52; Secondary 47H09.
Author’s contributions
The authors did not provide this information.
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Alimohammady, M., Sadeghi, A. Stability and common stability for the systems of linear equations and itsapplications. Math Sci 6, 43 (2012). https://doi.org/10.1186/2251-7456-6-43
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DOI: https://doi.org/10.1186/2251-7456-6-43