Stability of an additive-quadratic functional equation in non-archimedean orthogonality spaces via fixed point method

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1 Advances in Applied Mathematical Analysis (AAMA). ISSN Volume 11, Number 1 (2016), pp Research India Publications Stability of an additive-quadratic functional equation in non-archimedean orthogonality spaces via fixed point method C. Gayathri Department of Mathematics, Adhiyamaan College of Engineering, Hosur , Tamil Nadu, India. satheesh.gayathri@rediffmail.com R. Arul Department of Mathematics, Kandaswami Kandar s College, P. Velur , Namakkal, Tamil Nadu, India. rarulkkc@gmail.com Abstract Using the fixed point method, we prove the Hyers-Ulam stability of the orthogonally additive-quadratic functional equation f(x+ y) f( x y) = f(x) f( x) + 4f(y) f(2y), x,y with x y, (0.1) in non-archimedean Banach spaces. Here is the orthogonality in the sense of Rätz. AMS subject classification: 39B55, 47H10, 39B52, 46H25. Keywords: Hyers-Ulam stability, additive-quadratic functional equation, orthogonality space, fixed point, non-archimedean space

2 16 C. Gayathri and R. Arul 1. Introduction In 1897, Hensel [14] introduced a normed space which does not have the Archimedean property. It turned out that non-archimedean spaces have many nice applications (see [5, 19, 20, 26]). A valuation is a function from a field K into [0, ) such that 0 is the unique element having the 0 valuation, rs = r s and the triangle inequality holds, i.e., r + s r + s, r, s K. A field K is called a valued field if K carries a valuation. Throughout this paper, we assume that the base field is a valued field, hence call it simply a field. The usual absolute values of R and C are examples of valuations. Let us consider a valuation which satisfies a stronger condition than the triangle inequality. If the triangle inequality is replaced by r + s max { r, s }, ï ½ r, s K, then the function is called a non-archimedean valuation, and the field is called a non-archimedean field. Clearly 1 = 1 =1 and n 1 for all n N. A trivial example of a non-archimedean valuation is the function taking everything except for 0 into 1 and 0 =0. Definition 1.1. [25] Let X be a vector space over a field K with a non-archimedean valuation. A function : X [0, ) is said to be a non-archimedean norm if it satisfies the following conditions: (i) x = 0 if and only if x = 0; (ii) rx = r x (r K,x X); (iii) the strong triangle inequality x + y max { x, y } x,y X holds. Then (X, ï ½) is called a non-archimedean normed space. Definition 1.2. (i) Let {x n } be a sequence in a non-archimedean normed space X. Then the sequence {x n } is called Cauchy if for a given ɛ>0 there is a positive integer N such that for all n, m N. x n x m ɛ

3 Stability of an additive-quadratic functional equation 17 (ii) Let {x n } be a sequence in a non-archimedean normed space X. Then the sequence {x n } is called convergent if for a given ɛ>0 there are a positive integer N and an x X such that x n x m ɛ for all n N. Then we call x X a limit of the sequence {x n }, and denote by lim {x n} = x. n (iii) If every Cauchy sequence in X converges, then the non-archimedean normed space X is called a non-archimedean Banach space. Assume that X is a real inner product space and f : X R is a solution of the orthogonal Cauchy functional equation f(x + y) = f(x) + f(y), x,y = 0. By the Pythagorean theorem f(x) = x 2 is a solution of the conditional equation. Of course, this function does not satisfy the additivity equation everywhere. Thus orthogonal Cauchy equation is not equivalent to the classic Cauchy equation on the whole inner product space. The stability problem of functional equations originated from a question of S.M. Ulam [38] in 1940, concerning the stability of group homomorphisms. Let (G 1, ) be a group and let (G 2, ) be a metric group with the metric d(, ). Given ɛ>0, does there exist a δ>0, such that if a mapping h : G 1 G 2 satisfies the inequality d(h(x y), h(x) h(y)) < δ for all x,y G 1, then there exists a homomorphism H : G 1 G 2 with d(h(x), H (x)) < ɛ for all x G 1? The case of approximately additive functions was solved by D.H. Hyers [15] under the assumption that G 1 and G 2 are Banach spaces. In 1951 and in 1978, a generalized version of the theorem of Hyers for approximately linear mappings was given by T. Aoki [1] and Th.M. Rassias [35]. In 1982, J.M. Rassias [33, 34] provided a generalizations of the Hyers stability theorem which allows the Cauchy difference to be bounded. There are several orthogonality notations on a real normed space are available. But here, we present the orthogonality concept introduced by J. Rätz [36].This is given in the following definition. Definition 1.3. [36] A vector space X is called an orthogonality vector space if there is a relation x y on X such that (i) x 0, 0 x for all x X; (ii) if x y and x,y = 0, then x,y are linearly independent; (iii) x y, ax by for all a,b R; (iv) if P is a two-dimensional subspace of X; then (a) for every x P there exists 0 = y P such that x y; (b) there exists vectors x,y = 0 such that x y and x + y x y.

4 18 C. Gayathri and R. Arul Any vector space can be made into an orthogonality vector space if we define x 0, 0 x for all x and for non zero vector x,y define x y iff x,y are linearly independent. The relation is called symmetic if x y implies that y x for all x,y X. The pair (X, ) is called anorthogonality space. It becomes orthogonality normed space when the orthogonality space is equipped with a norm. The orthogonal Cauchy functional equation f(x+ y) = f(x)+ f(y),x y in which is an abstract orthogonally was first investigated by S.Gudder and D. Strawther [13]. The orthogonally quadratic equation f(x+ y) + f(x y) = 2f(x)+ 2f(y),x y was first investigated by F. Vajzovic [39] when X is a Hilbert space, Y is the scalar field, f is continuous and means the Hilbert space orthogonality. Later, Drljevic [6], Fochi [11], Moslehian [25, 24] and Szab [37] generalized this result. Let X be a set. A function d : X X [0, ] is called a generalized metric on X if d satisfies (1) d(x,y) = 0 if and only if x = y; (2) d(x,y) = d(y,x) for all x,y X; (3) d(x,z) = d(x,y) + d(y,z) for all x,y,z X. We recall a fundamental result in fixed point theory. Theorem 1.4. [2, 7] Let (X, d) be a complete generalized metric space and let J : X X be a strictly contractive mapping with Lipschitz constant α<1. Then for each given element x X, either d(j n x,j n+1 x) = for all nonnegative integers n or there exists a positive integer n 0 such that (1) d(j n x,j n+1 x) <, 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 Y = { y X/d(J n 0 x,y) < } ; (4) d(y,y ) 1 d(y,jy) for all y Y. 1 α

5 Stability of an additive-quadratic functional equation 19 In 1996, Isac and Rassias [16] were the first to provide applications of stability theory of functional equations for the proof of new fixed point theorems with applications. By using fixed point methods, the stability problems of several functional equations have been extensively investigated by a number of authors [3, 4, 8, 9, 10, 18, 22, 27, 28, 29, 30, 31, 32]. This paper is organized as follows: In Section 2, we prove the Hyers-Ulam stability of the orthogonally additive-quadratic functional equation (0.1) in non-archimedean orthogonality spaces for an odd mapping. In Section 3, we prove the Hyers-Ulam stability of the orthogonally additive-quadratic functional equation (0.1) in non-archimedean orthogonality spaces for an even mapping. Throughout this paper, assume that (X, ) is a non-archimedean orthogonality space and that (Y, Y ) is a real non-archimedean Banach space. Assume that 2 = Stability of the orthogonally additive-quadratic functional equation: an odd mapping case In this section, we deal with the stability problem for the orthogonally additive-quadratic functional equation Df (x, y) := f(x+ y) f( x y) f(x)+ f( x) 4f(y)+ f(2y) = 0 (2.1) for all x,y X with x y in non-archimedean Banach spaces: an odd mapping case. Definition 2.1. A mapping f : X Y is called an orthogonally additive mapping if for all x,y X with x y. f(x+ y) f( x y) = 2f(x)+ 4f(y) f(2y) Theorem 2.2. Let φ : X 2 [0, ) be a function such that there exists an α<1with ( x ϕ(x,y) 3 αϕ 2, y ) (2.2) 2 for all x,y X with x y. Let f : X Y be an odd mapping satisfying Df (x, y) Y ϕ(x,y) (2.3) for all x,y X with x y. Then there exists a unique orthogonally additive mapping A : X Y such that f(x) A(x) Y 1 ϕ(x,x) (2.4) 6 6 α

6 20 C. Gayathri and R. Arul Proof. Putting y = x in (2.3),we get 2f(2x) 6f(x) Y ϕ(x,x) (2.5) for all x X, since x 0. So f(x) 1 Y 3 f(2x) 1 ϕ(x,x) (2.6) 6 Consider the set S := {h : X Y } and introduce the generalized metric on S: d(g,h) = inf { µ R + : g(x) h(x) Y µϕ(x, x), x X }, where, as usual, inf ϕ =+. It is easy to show that (S, d) is complete (see [31]). Now we consider the linear mapping J : S S such that Jg(x) := 1 3 g(2x) Let g, h S be given such that d(g,h) = ɛ. Then g(x) h(x) Y ϕ(x,x) Hence Jg(x) J h(x) Y = 1 3 g(2x) 1 3 h(2x) αϕ(x, x) Y Sod(g,h) = ɛ implies that d(jg,jh) αɛ. This means that d(jg,jh) αd(g, h) for all g, h S. It follows from (2.6) that d(f, Jf ) 1 6. By Theorem 1.4, there exists a mapping A : X Y satisfying the following: (1) A is a fixed point of J, i.e., A(2x) = 2A(x) (2.7) The mapping A is a unique fixed point of J in the set M = {g S : d(h, g) < }. This implies that A is a unique mapping satisfying (2.7) such that there exists a µ (0, ) satisfying f(x) A(x) Y µϕ(x, x)

7 Stability of an additive-quadratic functional equation 21 (2) d(j n f, A) 0asn. This implies the equality lim n 1 3 n f(2n x) = A(x) (3) d(f,a) 1 d(f, Jf ), which implies the inequality 1 α d(f,a) This implies that the inequality (2.4) holds. It follows from (2.2) and (2.3) that DA(x, y) Y = lim n lim n α. 1 Df (2 3 n n x,2 n y) Y 1 3 n ϕ(2n x,2 n y) lim n 3 n α n 3 n ϕ(x,y) = 0 for all x,y X with x y. So DA(x, y) = 0 for all x,y X with x y. Since f is odd, A is odd. Hence A : X Y is an orthogonally additive mapping, i.e., A(x + y) + A( x y) = 2A(x) + 4A(y) A(2y) for all x,y X with x y. Thus A : X Y is a unique orthogonally additive mapping satisfying (2.4), as desired. From now on, in corollaries, assume that (X, ) is a non -Archimedean orthogonality normed space. Corollary 2.3. Let θ be a positive real number and p a real number with 0 <p<1. Let f : X Y be an odd mapping satisfying Df (x, y) Y θ ( x p + y p) (2.8) for all x,y X with x y. Then there exists a unique orthogonally additive mapping A : X Y such that f(x) A(x) Y 2 pθ 6 ( 2 p 2 ) x p

8 22 C. Gayathri and R. Arul Proof. The proof follows from Theorem 2.2 by taking φ(x,y) = θ ( x p + y p) for all x,y X with x y. Then we can choose α = 2 1 p and we get the desired result. Theorem 2.4. Let f : X Y be an odd mapping satisfying (2.3) for which there exists a function φ : X 2 [0, ) such that ϕ(x,y) α 3 ϕ (2x,2x) for all x,y X with x y. Then there exists a unique orthogonally additive mapping A : X Y such that f(x) A(x) Y α ϕ(x,x) (2.9) 6 6 α Proof. Let (S, d) be the generalized metric space defined in the proof of Theorem 2.2. Now we consider the linear mapping J : S S such that ( x ) Jg(x) := 3g 2 It follows from (2.5) that d(f, Jf ) α 6.So α d(f,a) 6 6 α. Thus we obtain the inequality (2.9). The rest of the proof is similar to the proof of Theorem 2.2. Corollary 2.5. Let θ be a positive real number and p a real number with p>1. Let f : X Y be an odd mapping satisfying (2.8). Then there exists a unique orthogonally additive mapping A : X Y such that f(x) A(x) Y 2 pθ 6 ( 2 2 p ) x p Proof. The proof follows from Theorem 2.4 by taking φ(x,y) = θ ( x p + y p) for all x,y X with x y. Then we can choose α = 2 p 1 and we get the desired result. 3. Stability of the orthogonally additive-quadratic functional equation: an even mapping case In this section, we deal with the stability problem for the orthogonally additive-quadratic functional equation given in the previous section: an even mapping case.

9 Stability of an additive-quadratic functional equation 23 Definition 3.1. An even mapping f : X Y is called an orthogonally quadratic mapping if f(x+ y) f( x y) = 4f(y) f(2y) for all x,y X with x y. Theorem 3.2. Let φ : X 2 [0, ) be a function such that there exists an α<1with ( x ϕ(x,y) 2 αϕ 2, y ) 2 for all x,y X with x y. Let f : X Y be an even mapping satisfying f(0) = 0 and (2.3). Then there exists a unique orthogonally quadratic mapping Q : X Y such that 1 f(x) Q(x) Y 4 4 α ϕ(x,x) Proof. Putting y = x in (2.3),we get 2f(2x) 4f(x) Y ϕ(x,x) (3.1) for all x X, since x 0. So f(x) 1 Y 2 f(2x) 1 4 ϕ(x,x) Let (S, d) be the generalized metric space defined in the proof of Theorem 2.2. Now we consider the linear mapping J : S S such that Jg(x) := 1 2 g(2x) The rest of the proof is similar to the proof of Theorem 2.2. Corollary 3.3. Let θ be a positive real number and p a real number with 0 <p<2. Let f : X Y be an even mapping satisfying f(0) = 0 and (2.8) Then there exists a unique orthogonally quadratic mapping Q : X Y such that f(x) Q(x) Y 2 pθ 4 ( 2 p 2 2 ) x p Proof. The proof follows from Theorem 3.2 by taking φ(x,y) = θ ( x p + y p) for all x,y X with x y. Then we can choose α = 2 2 p and we get the desired result.

10 24 C. Gayathri and R. Arul Theorem 3.4. Let f : X Y be an even mapping satisfying (2.3) and f(0) = 0 for which there exists a function φ : X 2 [0, ) such that ϕ(x,y) α 2 ϕ (2x,2y) for all x,y X with x y. Then there exists a unique orthogonally quadratic mapping Q : X Y such that f(x) Q(x) Y α ϕ(x,x) (3.2) 4 4 α Proof. Let (S, d) be the generalized metric space defined in the proof of Theorem 2.2. Now we consider the linear mapping J : S S such that ( x ) J g (x) := 2g 2 It follows from (3.1) that d(f, Jf ) α. So we obtain the inequality (3.2). 4 The rest of the proof is similar to the proof of Theorem 2.2. Corollary 3.5. Let θ be a positive real number and p a real number with p>2. Let f : X Y be an even mapping satisfying f(0) = 0 and (2.8). Then there exists a unique orthogonally quadratic mapping Q : X Y such that f(x) Q(x) Y 2 pθ 4 ( p ) x p Proof. The proof follows from Theorem 3.4 by taking φ(x,y) = θ ( x p + y p) for all x,y X with x y. Then we can choose α = 2 p 2 and we get the desired result. f(x) f( x) f(x)+ f( x) Let f o (x) = and f e (x) =. Then f o is an odd 2 2 mapping and f e is an even mapping such that f = f o + f e. The above corollaries can be summarized as follows: Theorem 3.6. Assume that (X, ) is a non-archimedean orthogonality normed space. Let θ be a positive real number and p a real number with 0 < p < 1orp > 2. Let f : X Y be a mapping satisfying f(0) = 0 and (2.8). Then there exist an orthogonally additive mapping A : X Y and an orthogonally quadratic mapping Q : X Y such that ( f(x) A(x) Q(x) Y 1 6 ( 2 p 2 ) ( 2 p 2 2 ) ) 2 p θ x p

11 Stability of an additive-quadratic functional equation Conclusion In this paper, we proved the Hyers-Ulam stability of the additive-quadratic functional equation (0.1) in non-archimedean orthogonality spaces. Acknowledgment The authors thank the anonymous referees and editors for their valuable comments and suggestions on the improvement of this paper. Competing Interests. The authors declare that no competing interests exist. References [1] T. Aoki, On the stability of the linear transformation in Banach spaces, J. Math. Soc., Japan. 2 (1950), [2] L. Cadariu and V. Radu, Fixed points and the stability of Jensen s functional equation, J. Inequal. Pure Appl. Math. 4, no. 1, Art. ID 4 (2003). [3] L. Cadariu and V. Radu, On the stability of the Cauchy functional equation: a fixed point approach, Grazer Math. Ber. 346 (2004), [4] L. Cadariu and V. Radu, Fixed point methods for the generalized stability of functional equations in a single variable, Fixed Point TheoryAppl. 2008, Art. ID (2008). [5] D. Deses, On the representation of non-archimedean objects, Topology Appl. 153 (2005), [6] F. Drljevic, On a functional which is quadratic on A-orthogonal vectors, Publ. Inst. Math. (Beograd) 54 (1986), [7] J. Diaz and B. Margolis, A fixed point theorem of the alternative for contractions on a generalized complete metric space, Bull. Amer. Math. Soc., 74 (1968), [8] M. Eshaghi Gordji, H. Khodaei, J.M. Rassias, Fixed point methods for the stability of general quadratic functional equation, Fixed Point Theory, 12 (2011), [9] M. Eshaghi Gordji, H. Khodaei, Th.M. Rassias, R. Khodabakhsh, J - homomorphisms and J -derivations on J -algebras for a generalized Jensen type functional equation, Fixed Point Theory 13 (2012), [10] M. Eshaghi Gordji, C. Park, M.B. Savadkouhi, The stability of a quartic type functional equation with the fixed point alternative, Fixed Point Theory 11 (2010), [11] M. Fochi, Functional equations in A-orthogonal vectors, Aequationes Math. 38 (1989),

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