1 Introduction

The basic problem of the stability of functional equations asks whether an approximate solution of the Cauchy functional equation f(x+y)=f(x)+f(y) can be approximated by a solution of this equation [21]. A functional equation is called stable if any approximately solution to the functional equation is near to a true solution of that functional equation, and is superstable if every approximately solution is an exact solution of it.

The study of stability problems for functional equations which had been proposed by Ulam [26] concerning the stability of group homomorphisms, affirmatively answered for Banach spaces by Hyers [16]. The Hyers’ theorem was generalized by Aoki [2] and Bourgin [8] for additive mappings by considering an unbounded Cauchy difference. In [22], Th. M. Rassias succeeded in extending the result of the Hyers’ theorem by weakening the condition for the Cauchy difference controlled by a r + b r , r[0,1) to be unbounded. Gǎvruta generalized the Rassias’ result in [15] for the unbounded Cauchy difference. And then, the stability problems of various functional equation have been extensively investigated by a number of authors and there are many interesting results concerning this problem (for instances, [12] and [17]). The stability of ∗-derivations and of quadratic ∗-derivations with the Cauchy functional equation and the Jensen functional equation on Banach ∗-algebras was investigated in [18]. Jang and Park [18] proved the superstability of ∗-derivations and of quadratic ∗-derivations on C -algebras. In [1], An, Cui, and Park investigated Jordan ∗-derivations on C -algebras and Jordan ∗-derivations on J C -algebras associated with a special functional inequality.

In 2003, Cǎdariu and Radu employed the fixed-point method to the investigation of the Jensen functional equation. They presented a short and a simple proof (different from the ‘direct method,’ initiated by Hyers in 1941) for the Cauchy functional equation [10] and for the quadratic functional equation [9]. The Hyers-Ulam stability of the Jensen functional equation was studied by this method in [19]. Also, this method is applied to prove the stability and the superstability for cubic and quartic functional equation under certain conditions on Banach algebras in [5, 6] (for the stability of ternary quadratic derivations on ternary Banach algebras and C -ternary rings, see [4]).

The stability and the superstability of homomorphisms on C -algebras by using the fixed point alternative (Theorem 2.1) were proved in [14]. The Hyers-Ulam stability of ∗-homomorphisms in unital C -algebras associated with the Trif functional equation, and of linear ∗-derivations on unital C -algebras have earlier been established by Park and Hou in [20].

In this paper, we prove the stability of ∗-derivations associated with the Cauchy functional equation and the Jensen functional equation on Banach ∗-algebras. We also show that these functional equations under some mild conditions are superstable. We indicate a more accurate approximation than the results of Jang and Park which are obtained in [18]. In fact, we obtain an extension and refinement of their results on Banach ∗-algebras. So the condition of being C -algebra for A in [18] can be redundant.

2 Stability of ∗-derivations

Throughout this paper, assume that B is a Banach ∗-algebra and that A is a Banach ∗-subalgebra of B. A bounded C-linear mapping D:AB is said to be derivation on A if D(ab)=D(a)b+aD(b) for all a,bA. In addition, if D satisfies the additional condition D( a )=D ( a ) for all aA, then it is called a ∗-derivation.

Before proceeding to the main results, we will state the following theorem which is useful to our purpose (an extension of the result was given in [25]).

Theorem 2.1 (The fixed-point alternative [11])

Let(Ω,d)be a complete generalized metric space andT:ΩΩbe a mapping with Lipschitz constantL<1. Then, for each elementαΩ, eitherd( T n α, T n + 1 α)=for alln0, or there exists a natural number n 0 such that:

  1. (i)

    d( T n α, T n + 1 α)< for all n n 0 ;

  2. (ii)

    the sequence { T n α} is convergent to a fixed-point β of T;

  3. (iii)

    β is the unique fixed point of T in the set Λ={βΩ:d( T n 0 α,β)<};

  4. (iv)

    d(β, β ) 1 1 L d(β,Tβ) for all βΛ.

To achieve our maim in this section, we shall use the following lemma which is proved in [13].

Lemma 2.2 Let n 0 Nbe a positive integer and let X, Y be complex vector spaces. Suppose thatf:XYis an additive mapping. Then f isC-linear if and only iff(μx)=μf(x)for all x in X and μ in T 1 n 0 1 :={ e i θ :0θ 2 π n 0 }.

We establish the Hyers-Ulam stability of ∗-derivations as follows:

Theorem 2.3 Let n 0 Nbe fixed, f:ABa mapping withf(0)=0and letψ: A 5 [0,)be a function such that

f ( μ a + b + x y ) μ f ( a ) f ( b ) f ( x ) y x f ( y ) f ( z ) f ( z ) ψ(a,b,x,y,z)
(1)

for allμ T 1 n 0 1 and alla,b,x,y,zA. If there exists a constantk(0,1), such that

ψ(2a,2b,2x,2y,2z)2kψ(a,b,x,y,z)
(2)

for alla,b,x,y,zA, then there exists a unique ∗-derivation D on A satisfying

f ( a ) D ( a ) 1 2 ( 1 k ) ψ ˜ (a)(aA),
(3)

where ψ ˜ (a)=ψ(a,a,0,0,0).

Proof First, we provide the conditions of Theorem 2.1. We consider the set

Ω= { g : A B | g ( 0 ) = 0 }

and define the mapping d on Ω×Ω as follows:

d( g 1 , g 2 ):=inf { c ( 0 , ) : g 1 ( a ) g 2 ( a ) c ψ ˜ ( a ) ( a A ) } ,

if there exist such constant C, and d( g 1 , g 2 )=, otherwise. Similar to the proof of [7], Theorem 2.2], we can show that d is a generalized metric on Ω and the metric space (Ω,d) is complete. We define a mapping Ψ:ΩΩ by

Ψ(g)(a)= 1 2 g(2a)
(4)

for all aA. We show that Ψ is strictly contractive on Ω. Given g 1 , g 2 Ω, let c(0,) be an arbitrary constant with d( g 1 , g 2 )c. It means that

g 1 ( a ) g 2 ( a ) c ψ ˜ (a)
(5)

for all aA. Substituting a by 2a in the inequality (5) and using (2) and (4), we get

Ψ g 1 ( a ) Ψ g 2 ( a ) = 1 2 g 1 ( 2 a ) g 2 ( 2 a ) 1 2 c ψ ˜ (2a)ck ψ ˜ (a)

for all aA. Then d(Ψ g 1 ,Ψ g 2 (a))ck. This shows that

d(Ψ g 1 ,Ψ g 2 )Kd( g 1 , g 2 )

for all g 1 , g 2 Ω. To achieve inequality (3), we prove that d(Ψf,f)<. Putting a=b, x=y=z=0, and μ=1 (in fact 1 T 1 n 1 for all nN) in (1), we obtain

f ( 2 a ) 2 f ( a ) ψ ˜ (a)

for all aA. Hence,

1 2 f ( 2 a ) f ( a ) 1 2 ψ ˜ (a)
(6)

for all aA. We conclude from (6) that d(Ψf,f) 1 2 . It follows from Theorem 2.1 that d( J n g, J n + 1 g)< for all n0, and thus in this theorem we have n 0 =0. Therefore, the parts (iii) and (iv) of Theorem 2.1 hold on the whole Ω. Hence, there exists a unique mapping D:AB such that D is a fixed point of T and that Ψ n fD as n. Thus,

lim n f ( 2 n a ) 2 n =D(a)
(7)

for all aA, and so

d(f,D) 1 1 k d(Ψf,f) 1 2 ( 1 k ) .

The above inequality shows that (3) is true for all aA. It follows from (2) that

lim n ψ ( 2 n a , 2 n b , 2 n x , 2 n y , 2 n z ) 2 n =0.
(8)

Now, we replace a by 2 n a and put b=x=y=z=0 in (1). We divide both sides of the resulting inequality by 2 n , and let n tend to infinity. It follows from (1), (7), and (8) that

D(μa)=μD(a)

for all aA and all μ T 1 n 0 1 . Now, by Lemma 2.2, D is C-linear. Replacing x, y by 2 n x, 2 n y, respectively, and putting a=b=z=0 in (1), we have

Taking the limit as n tend to infinity, we get D(xy)=D(x)y+xD(y) for all x,yA. If we put a=b=x=y=0 and substitute z by 2 n z in (1) and we divide the both sides of the obtained inequality by 2 n , then we get

f ( 2 n z ) 2 n f ( 2 n z ) 2 n φ ( 0 , 0 , 0 , 0 , 2 n z ) 2 n
(9)

for all zA. Passing to the limit as n in (9), we conclude that D( z )=D ( z ) for all zA. Thus, D is a ∗-derivation. □

Corollary 2.4 Let n 0 Nbe fixed, r(0,1), and letf:ABbe mappings withf(0)=0such that

for allμ T 1 n 0 1 and alla,b,x,y,zA. Then there exists a unique ∗-derivation D on A satisfying

f ( a ) D ( a ) 2 δ 2 2 r a r

for allaA.

Proof The proof follows from Theorem 2.3 by taking

ψ(a,b,x,y,z)=δ ( a r + b r + x r + y r + z r )

for all a,b,x,y,zA and k= 2 r 1 . □

In the following corollaries, we show that under some conditions the superstability for the inequality (1) is valid.

Corollary 2.5 Letf:ABbe an additive mapping satisfying (1) andψ: A 5 [0,)be a function satisfying (2). Then f is a ∗-derivation.

Proof It follows immediately from additivity of f that f(0)=0. Thus, f( 2 n a)= 2 n f(a) for all aA. Now, by the proof of Theorem 2.3, f is a ∗-derivation. □

Corollary 2.6 Let r j (1j5), δ be nonnegative real numbers with0< j = 1 5 r j 1and letf:ABbe a mapping withf(0)=0such that

(10)

for allμ T 1 n 0 1 and alla,b,x,y,zA. Then f is a ∗-derivation on A.

Proof If we put a=b=x=y=z=0 and μ=1 in (10), we get f(0)=0. Again, putting a=b, x=y=z=0, and μ=1 in (10), we conclude that f(2a)=2f(a), and by induction we have f(a)= f ( 2 n a ) 2 n for all aA and nN. Now, we can obtain the desired result by Theorem 2.3. □

A bounded C-linear mapping D:AA is said to be Jordan derivation on A if D( a 2 )=D(a)a+aD(a) for all a,bA. Note that the mapping xaxxa, where a is a fixed element in A, is a Jordan ∗-derivation. For the first time, Jordan ∗-derivations were introduced in [23, 24] and the structure of such derivations has investigated in [3]. The reason for introducing these mappings was the fact that the problem of representing quadratic forms by sesquilinear ones is closely connected with the structure of Jordan ∗-derivations.

The next theorem is in analogy with Theorem 2.3 for Jordan ∗-derivations. Since the proof is similar, it is omitted.

Theorem 2.7 Let n 0 Nbe fixed, f:AAa mapping withf(0)=0and letψ: A 3 [0,)be a function such that

f ( μ a + b + c 2 ) μ f ( a ) f ( b ) f ( c ) c c f ( c ) ψ(a,b,c)
(11)

for allμ T 1 n 0 1 and alla,b,cA. If there exists a constantk(0,1), such that

ψ(2a,2b,2c)2kψ(a,b,c)
(12)

for alla,b,cA, then there exists a unique Jordan ∗-derivation D on A satisfying

f ( a ) D ( a ) 1 2 2 k ψ(a,a,0)

for allaA.

The following corollaries are analogous to Corollaries 2.4, 2.5, and 2.6, respectively. The proofs are similar and so we omit them.

Corollary 2.8 Let n 0 Nbe fixed, r(0,1), and letf:AAbe mappings withf(0)=0such that

f ( μ a + b + c 2 ) μ f ( a ) f ( b ) f ( c ) c c f ( c ) δ ( a r + b r + c r )

for allμ T 1 n 0 1 and alla,b,c,dA. Then there exists a unique Jordan ∗-derivation D on A satisfying

f ( a ) D ( a ) 2 δ 2 2 r a r

for allaA.

Corollary 2.9 Letf:AAbe an additive mapping satisfying (11) and letψ: A 3 [0,)be a function satisfying (12). Then f is a Jordan ∗-derivation.

Corollary 2.10 Let r j (1j3), δ be nonnegative real numbers with0< j = 1 3 r j 1and letf:ABbe a mapping withf(0)=0such that

f ( μ a + b + c 2 ) μ f ( a ) f ( b ) f ( c ) c c f ( c ) δ ( a r 1 b r 2 c r 3 )

for allμ T 1 n 0 1 and for alla,b,cA. Then f is a Jordan ∗-derivation on A.

3 Stability of ∗-derivations associated with the Jensen functional equation

In this section, we investigate the stability and the superstability of ∗-derivations associated with the Jensen functional equation in Banach ∗-algebra.

Theorem 3.1 Let n 0 Nbe fixed, f:ABa mapping withf(0)=0and letϕ: A 5 [0,)be a function such that

(13)

for allμ T 1 n 0 1 and alla,b,x,y,zA. If there exists a constantk(0,1), such that

ϕ(2a,2b,2x,2y,2z)2kϕ(a,b,x,y,z)
(14)

for alla,b,x,y,zA, then there exists a unique ∗-derivation D on A satisfying

f ( a ) D ( a ) k 1 k ϕ ˜ (a)(aA),
(15)

where ϕ ˜ (a)=ϕ(a,0,0,0,0).

Proof Similar to the proof of Theorem 2.3, we consider the set

Ω= { g : A g | g ( 0 ) = 0 }

and define the mapping d on Ω×Ω as follows:

d( g 1 , g 2 ):=inf { c ( 0 , ) : g 1 ( a ) g 2 ( a ) c ϕ ˜ ( a ) , a A } ,

if there exist such constant C, and d( g 1 , g 2 )=, otherwise. The metric space (Ω,d) is complete and also the mapping Φ:ΩΩ defined by

Φ(g)(a)= 1 2 g(2a)(aA)
(16)

is strictly contractive on Ω. Putting μ=1 and b=x=y=z=0 in (13), we obtain

2 f ( a 2 ) f ( a ) ϕ ˜ (a)

for all aA. By (14), we get

1 2 f ( 2 a ) f ( a ) 1 2 ϕ ˜ (2a)k ϕ ˜ (a)
(17)

for all aA. So by (17), we have d(Φf,f)k. Since the parts (iii) and (iv) of Theorem 2.1 hold on the whole Ω, there exists a unique mapping D:AB such that D is a fixed point of Φ such that

lim n f ( 2 n a ) 2 n =D(a)
(18)

for all aA, and so

d(f,D) 1 1 k d(Φf,f) k 1 k .

So (15) holds for all aA. It follows from (14) that

lim n ψ ( 2 n a , 2 n b , 2 n x , 2 n y , 2 n z ) 2 n =0.
(19)

Letting a=b and putting x=y=z=0 in (13), we have

f ( μ a ) μ f ( a ) 1 2 ϕ(a,a,0,0,0).
(20)

Now, replacing a by 2 n a in (20) and dividing both sides of the resulting inequality by 2 n , and letting n, by (13), (18), and (19), we have

D(μa)=μD(a)

for all aA and all μ T 1 n 0 1 . By Lemma 2.2, D is C-linear.

The rest of the proof is similar to the proof of Theorem 2.3. □

Corollary 3.2 Let n 0 Nbe fixed, r(0,1), and letf:ABbe mappings withf(0)=0such that

for allμ T 1 n 0 1 and alla,b,x,y,zA. Then there exists a unique ∗-derivation D on A satisfying

f ( a ) D ( a ) 2 r δ 2 2 r a r

for allaA.

Proof The proof follows from Theorem 3.1 by taking ϕ(a,b,x,y,z)=δ( a r + b r + x r + y r + z r ) for all a,b,x,y,zA and k= 2 r 1 . □

In the following corollary, we show that when f is an additive mapping, the superstability for the inequality (13) holds.

Corollary 3.3 Letf:ABbe an additive mapping satisfying (13) and letψ: A 5 [0,)be a function satisfying (14). Then f is a ∗-derivation.

Proof The proof is similar to the proof of Corollary 2.5. □

Corollary 3.4 Let f:AB be a mapping with f(0)=0 such that

(21)

for allμ T 1 n 0 1 and alla,b,x,y,zA. If r j (1j5), δ are nonnegative real numbers such that0< j = 1 5 r j 1, then f is a ∗-derivation.

Proof Putting a=b=x=y=z=0 and μ=1 in (21), we obtain f(0)=0. Replacing a by 2a and setting b=x=y=z=0 and μ=1 in (21), we have f(2a)=2f(a), and thus f(a)= f ( 2 n a ) 2 n for all aA and nN. Now, Theorem 3.1 shows that f is a ∗-derivation on A. □

Theorem 3.5 Let n 0 be a fixed natural number, f:ABa mapping withf(0)=0and letϕ: A 5 [0,)be a function such that

(22)

for allμ T 1 n 0 1 and alla,b,x,y,zA. If there exists a constantk(0,1)such that

ϕ(3a,3b,3x,3y,3z)3kϕ(a,b,x,y,z)
(23)

for alla,b,x,y,zA, then there exists a unique ∗-derivation D on A satisfying

f ( a ) D ( a ) 1 3 ( 1 k ) ( ϕ ˜ 1 ( a ) + ϕ ˜ 2 ( a ) ) (aA),
(24)

where ϕ ˜ 1 (a)=ϕ(a,a,0,0,0)and ϕ ˜ 2 (a)=ϕ(a,3a,0,0,0).

Proof Suppose that the set Ω as in the proof of Theorem 3.1. We introduce the generalized metric on Ω as follows:

d(g,h):=inf { c ( 0 , ) : g ( a ) h ( a ) c ( ϕ ˜ 1 ( a ) + ϕ ˜ 2 ( a ) )  for all  a A }

if there exists such constant c, and d(g,h)=, otherwise. One can prove that the metric space (Ω,d) is complete. Define the mapping Φ:ΩΩvia

Φ(g)(a)= 1 3 g(3a)(aA).
(25)

Given g,hΩ, let c(0,) be an arbitrary constant with d(g,h)c, that is,

g ( a ) h ( a ) c ( ϕ ˜ 1 ( a ) + ϕ ˜ 2 ( a ) )
(26)

for all aA. If we substitute a by 3a in the inequality (26) and use from (23) and (25), we have

Φ g ( a ) Φ h ( a ) = 1 3 g ( 3 a ) h ( 3 a ) 1 3 c ( ϕ ˜ 1 ( 3 a ) + ϕ ˜ 2 ( 3 a ) ) ck ( ϕ ˜ 1 ( a ) + ϕ ˜ 2 ( a ) )

for all aA. Thus, d(Ψ g 1 ,Ψ g 2 (a))ck. This shows that Ψ is strictly contractive on Ω. Letting μ=1, b=a and x=y=z=0 in (22), we have

f ( a ) f ( a ) ϕ ˜ 1 (a)

for all aA. Putting μ=1, x=y=z=0 and replacing a, b by 3a, −a in (22), respectively, we get

2 f ( a ) f ( a ) f ( 3 a ) ϕ ˜ 2 (a)

for all aA. Hence,

1 3 f ( 3 a ) f ( a ) 1 3 ( f ( a ) f ( a ) + 2 f ( a ) f ( a ) f ( 3 a ) ) 1 3 [ ϕ ˜ 1 ( a ) + ϕ ˜ 2 ( a ) ]

for all aA. The above inequality shows that d(Φf,f) 1 3 . Now, by Theorem 2.1, there exists a unique mapping D:AB such that D is a fixed point of Φ such that

D(a)= lim n f ( 3 n a ) 3 n
(27)

for all aA, and thus d(f,D) 1 1 k d(Φf,f) 1 3 ( 1 k ) . So we proved the inequality (24). By the inequality (23), we get

lim n ψ ( 3 n a , 3 n b , 3 n x , 3 n y , 3 n z ) 3 n =0.
(28)

Letting a=b and putting x=y=z=0 in (22), we have

f ( μ a ) μ f ( a ) ϕ ˜ 3 (a),
(29)

where ϕ ˜ 3 (a)=ϕ(a,a,0,0,0). If we replace a by 3 n a in (29) and divide both sides of the resulting inequality by 3 n , we have

1 3 n f ( 3 n μ a ) μ f ( 3 n a ) 1 3 n ϕ ˜ 3 ( 3 n a ) .

Let n tend to infinity. It follows from (22), (27), and (28) that D(μa)=μD(a) for all aA and all μ T 1 n 0 1 . Similar to the above and again from (22) by applying (27) and (28), we can prove that 2D( a + b 2 )=D(a)+D(b) for all a,bA. Since f(0)=0, we have D(0)=0. Therefore, 2D( a 2 )=D(a) for every aA, and thus

D(a)+D(b)=2D ( a + b 2 ) =D(a+b),

for all a,bA. Now, Lemma 2.2 shows that D is C-linear. The rest of the proof is similar to the proof of Theorem 2.3. □