1 Introduction

We say a functional equation (ξ) is stable if any function g satisfying the equation (ξ) approximately is near to a true solution of (ξ). We say that a functional equation (ξ) is superstable if every approximately solution of (ξ) is an exact solution of it (see [1]).

Speaking of the stability of a functional equation, we follow the question raised in 1940 by Ulam: When is it true that the solution of an equation differing slightly from a given one, must of necessity be close to the solution of the given equation? This problem was solved in the next year for the Cauchy functional equation on Banach spaces by Hyers [2]. Let f:E E be a mapping between Banach spaces such that

f ( x + y ) f ( x ) f ( y ) δ

for all x,yE and for some δ>0. Then there exists a unique additive mapping T:E E such that

f ( x ) T ( x ) δ

for all xE. Moreover, if f(tx) is continuous in t for each fixed xE, then T is linear. It gave rise to the Hyers-Ulam type stability of functional equations. Hyers’ theorem was generalized by Rassias [3] for linear mappings by considering an unbounded Cauchy difference.

Theorem 1.1 (Th.M. Rassias)

Let f:E E be a mapping from a normed vector space E into a Banach space E subject to the inequality f(x+y)f(x)f(y)ϵ( x p + y p ) for all x,yE, where ϵ and p are constants with ϵ>0 and 0p<1. Then the limit L(x)= lim n f ( 2 n x ) 2 n exists for all xE and L:E E is the unique additive mapping which satisfies

f ( x ) L ( x ) 2 ϵ 2 2 p x p

for all xE. Also, if for each xE, the function f(tx) is continuous in tR, then L is linear.

Găvruta [4] generalized the Rassias result. Beginning around the year 1980, the stability problems of several functional equations and approximate homomorphisms have been extensively investigated by a number of authors, and there are many interesting results concerning this problem (see [545]).

Some mathematicians have defined fuzzy norms on a vector space from various points of view (see [46] and [47]). Bag and Samanta [48], following Cheng and Mordeson [49], gave an idea of a fuzzy norm in such a manner that the corresponding fuzzy metric is of Karmosil and Michalek type [50]. They established a decomposition theorem of a fuzzy norm into a family of crisp norms and investigated some properties of fuzzy normed spaces [51].

In this paper, we consider a mapping f:XY satisfying the following functional equation, which is introduced by Azadi Kenary [52]:

1 i 1 < < i m n 1 k l ( i j , j { 1 , , m } ) n f ( j = 1 m x i j m + l = 1 n m x k l ) = ( n m + 1 ) n ( n m ) i = 1 n f( x i )
(1.1)

for all x 1 ,, x n X, where m,nN are fixed integers with n2, 1mn. Especially, we observe that in the case m=1, equation (1.1) yields the Cauchy additive equation f( l = 1 n x k l )= l = 1 n f( x i ). We observe that in the case m=n, equation (1.1) yields the Jensen additive equation f( j = 1 n x j n )= 1 n l = 1 n f( x i ). Therefore, equation (1.1) is a generalized form of the Cauchy-Jensen additive equation, and thus every solution of equation (1.1) may be analogously called general (m,n)-Cauchy-Jensen additive. For the case m=2, the authors have established new theorems about the Ulam-Hyers-Rassias stability in quasi β-normed spaces [53]. Let X and Y be linear spaces. For each m with 1mn, a mapping f:XY satisfies equation (1.1) for all n2 if and only if f(x)f(0)=A(x) is Cauchy additive, where f(0)=0 if m<n. In particular, we have f((nm+1)x)=(nm+1)f(x) and f(mx)=mf(x) for all xX.

Definition 1.1 Let X be a real vector space. A function N:X×R[0,1] is called a fuzzy norm on X if for all x,yX and all s,tR,

(N1) N(x,t)=0 for t0;

(N2) x=0 if and only if N(x,t)=1 for all t>0;

(N3) N(cx,t)=N(x, t | c | ) if c0;

(N4) N(x+y,c+t)min{N(x,s),N(y,t)};

(N5) N(x,) is a non-decreasing function of ℝ and lim t N(x,t)=1;

(N6) for x0, N(x,) is continuous on ℝ.

Example 1.1 Let (X,) be a normed linear space and α,β>0. Then

N(x,t)= { α t α t + β x , t > 0 , x X , 0 , t 0 , x X ,

is a fuzzy norm on X.

Definition 1.2 Let (X,N) be a fuzzy normed vector space. A sequence { x n } in X is said to be convergent or converge if there exists an xX such that lim t N( x n x,t)=1 for all t>0. In this case, x is called the limit of the sequence { x n } in X, and we denote it by N- lim t x n =x.

Definition 1.3 Let (X,N) be a fuzzy normed vector space. A sequence { x n } in X is called Cauchy if for each ϵ>0 and each t>0, there exists an n 0 N such that for all n n 0 and all p>0, we have N( x n + p x n ,t)>1ϵ.

It is well known that every convergent sequence in a fuzzy normed vector space is Cauchy. If each Cauchy sequence is convergent, then the fuzzy norm is said to be complete and the fuzzy normed vector space is called a fuzzy Banach space.

We say that a mapping f:XY between fuzzy normed vector spaces X and Y is continuous at a point xX if for each sequence { x n } converging to x 0 X, the sequence {f( x n )} converges to f( x 0 ). If f:XY is continuous at each xX, then f:XY is said to be continuous on X (see [51]).

Definition 1.4 Let X be a ternary algebra and (X,N) be a fuzzy normed space.

  1. (1)

    The fuzzy normed space (X,N) is called a fuzzy ternary normed algebra if

    N ( [ x y z ] , s t u ) N(x,s)N(y,t)N(z,u)

for all x,y,zX and all positive real numbers s, t and u.

  1. (2)

    A complete ternary fuzzy normed algebra is called a ternary fuzzy Banach algebra.

Example 1.2 Let (X,) be a ternary normed (Banach) algebra. Let

N(x,t)= { t t + x , t > 0 , x X , 0 , t 0 , x X .

Then N(x,t) is a fuzzy norm on X and (X,N) is a ternary fuzzy normed (Banach) algebra.

From now on, we suppose that kN is a fixed positive integer and m =3k+2. Also, we assume that n3 is a fixed positive integer.

Definition 1.5 Let (X,N) and (Y, N ) be two ternary fuzzy normed algebras. Then

  1. (1)

    a ℂ-linear mapping H:(X,N)(Y, N ) is called an m -homomorphism if

    H ( [ [ [ [ x 1 x 2 x 3 ] x 4 x 5 ] ] x m 1 x m ] ) = [ [ [ [ H ( x 1 ) H ( x 2 ) H ( x 3 ) ] H ( x 4 ) H ( x 5 ) ] ] ( x m 1 ) H ( x m ) ]

for all x 1 , x 2 ,, x m X;

  1. (2)

    a ℂ-linear mapping D:(X,N)(X,N) is called an m -derivation if

    D ( [ [ [ [ x 1 x 2 x 3 ] x 4 x 5 ] ] x m 1 x m ] ) = [ [ [ [ D ( x 1 ) x 2 x 3 ] x 4 x 5 ] ] x m 1 x m ] + [ [ [ [ x 1 D ( x 2 ) x 3 ] x 4 x 5 ] ] x m 1 x m ] + [ [ [ [ x 1 x 2 D ( x 3 ) ] x 4 x 5 ] ] x m 1 x m ] + [ [ [ [ x 1 x 2 x 3 ] D ( x 4 ) x 5 ] ] x m 1 x m ] + [ [ [ [ x 1 x 2 x 3 ] x 4 D ( x 5 ) ] x 6 ] x m 1 x m ] + + [ [ [ [ x 1 x 2 x 3 ] x 4 x 5 ] ] D ( x m 1 ) x m ] + [ [ [ [ x 1 x 2 x 3 ] x 4 x 5 ] ] x m 1 D ( x m ) ]

for all x 1 , x 2 ,, x m X.

We apply the following theorem on weighted spaces.

Theorem 1.2 Let (X,d) be a complete generalized metric space and J:XX be a strictly contractive mapping with a Lipschitz constant L<1. Then, for all xX, 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. (1)

    d( J n x, J n + 1 x)< for all n 0 n 0 ;

  2. (2)

    the sequence { J n x} converges to a fixed point y of J;

  3. (3)

    y is the unique fixed point of J in the set Y={yX:d( J n 0 x,y)<};

  4. (4)

    d(y, y ) 1 1 L d(y,Jy) for all yY.

Throughout this paper, we suppose that X is a ternary fuzzy normed algebra and Y is a ternary fuzzy Banach algebra. For convenience, we use the following abbreviations for a given mapping f:XY:

Δ f ( x 1 , , x n , y 1 , y 2 , , y m ) = 1 i 1 < < i m n 1 k l ( i j , j { 1 , , m } ) n f ( j = 1 m μ x i j m + l = 1 n m μ x k l ) ( n m + 1 ) ( n m ) i = 1 n μ f ( x i ) n + f ( [ [ [ [ y 1 y 2 y 3 ] y 4 y 5 ] ] y m 1 y m ] ) [ [ [ [ f ( y 1 ) f ( y 2 ) f ( y 3 ) ] f ( y 4 ) f ( y 5 ) ] ] f ( y m 1 ) f ( y m ) ] ,

and

D f ( x 1 , , x n , y 1 , y 2 , , y m ) = 1 i 1 < < i m n 1 k l ( i j , j { 1 , , m } ) n f ( j = 1 m μ x i j m + l = 1 n m μ x k l ) ( n m + 1 ) ( n m ) i = 1 n μ f ( x i ) n + f ( [ [ [ [ y 1 y 2 y 3 ] y 4 y 5 ] ] y m 1 y m ] ) [ [ [ [ f ( y 1 ) y 2 y 3 ] y 4 y 5 ] ] y m 1 y m ] [ [ [ [ y 1 f ( y 2 ) y 3 ] y 4 y 5 ] ] y m 1 y m ] [ [ [ [ y 1 y 2 f ( y 3 ) ] y 4 y 5 ] ] y m 1 y m ] [ [ [ [ y 1 y 2 y 3 ] f ( y 4 ) y 5 ] ] y m 1 y m ] [ [ [ [ y 1 y 2 y 3 ] y 4 f ( y 5 ) ] y 6 ] y m 1 y m ] [ [ [ [ y 1 y 2 y 3 ] y 4 y 5 ] ] f ( y m 1 ) y m ] [ [ [ [ y 1 y 2 y 3 ] y 4 y 5 ] ] y m 1 f ( y m ) ] .

There are several recent works on stability of functional equations on Banach algebras (see [1028]). We investigate the stability of n-homomorphisms and n-derivations on fuzzy ternary Banach algebras.

2 Main results

In this section, by using the idea of Park et al. [39], we prove the generalized Hyers-Ulam-Rassias stability of 5-homomorphisms and 5-derivations related to the functional equation (1.1) on fuzzy ternary Banach algebras (see also [54]). We start our main results by the stability of 5-homomorphisms.

Theorem 2.1 Let φ: X n + m [0,) be a mapping such that there exists an L< 1 ( n m + 1 ) n 2 with

φ ( x 1 n m + 1 , , x n + m n m + 1 ) L φ ( x 1 , x 2 , , x n + m ) n m + 1
(2.1)

for all x 1 ,, x n + m X. Let f:XY with f(0)=0 be a mapping satisfying

N ( Δ f ( x 1 , , x n + m ) , t ) t t + φ ( x 1 , , x n , 0 , 0 , , 0 )
(2.2)

for all μ T 1 , x 1 ,, x n + m X and all t>0. Then there exists a unique m -homomorphism H:XY such that

N ( f ( x ) H ( x ) , t ) ( n m + 1 ) ( n m ) ( 1 L ) t ( n m + 1 ) ( n m ) ( 1 L ) t + L φ ( x , , x , 0 , 0 , , 0 )
(2.3)

for all xX and all t>0.

Proof Letting μ=1 and putting x n + 1 = x n + 2 == x n + m =0, x 1 = x 2 == x n =x in (2.2), we obtain

N ( ( n m ) f ( ( n m + 1 ) x ) ( n m ) ( n m + 1 ) f ( x ) , t ) t t + φ ( x , , x , 0 , 0 , , 0 )
(2.4)

for all xX and t>0. Set S:={h:XY;h(0)=0} and define d:S×S[0,] by

d(f,g)=inf { μ R + : N ( g ( x ) h ( x ) , μ t ) t t + φ ( x , , x , 0 , 0 , , 0 ) , x X , t > 0 } ,

where inf=+. By using the same technique as in the proof of Theorem 3.2 of [54], we can show that (S,d) is a complete generalized metric space. We define J:SS by

Jg(x):=(nm+1)g ( x n m + 1 )

for all xX. It is easy to see that d(Jg,Jh)Ld(g,h) for all g,hS. This implies that

d(f,Jf) L ( n m + 1 ) ( n m ) .

By Banach’s fixed point approach, J has a unique fixed point H:XY in S 0 :={hS:d(h,f)<} satisfying

H ( x n m + 1 ) = H ( x ) n m + 1
(2.5)

for all xX. This implies that H is a unique mapping such that (2.5) and that there exists μ(0,) satisfying N(f(x)H(x),μt) t t + φ ( x , , x , 0 , 0 , , 0 ) for all xX and t>0. Moreover, we have d( J p f,H)0 as p. This implies the equality

N- lim p f ( x ( n m + 1 ) p ) ( n m + 1 ) p =H(x)
(2.6)

for all xX.

It follows from (2.2) and (2.6) that

1 i 1 < < i m n 1 k l ( i j , j { 1 , , m } ) n H ( j = 1 m μ x i j m + l = 1 n m μ x k l ) = ( n m + 1 ) n ( n m ) i = 1 n μH( x i )

for all μ T 1 , x 1 ,, x n X. This means that H:XY is additive. By using the same technique as in the proof of Theorem 2.1 of [55], we can show that H is ℂ-linear. By (2.2), we have

N ( f ( [ [ [ [ y 1 y 2 y 3 ] y 4 y 5 ] ] y m 1 y m ] ( n m + 1 ) ( n 1 ) p ) ( n m + 1 ) ( n 1 ) p 1 ( n m + 1 ) ( n 1 ) p [ [ [ [ f ( y 1 ( n m + 1 ) p ) f ( y 2 ( n m + 1 ) p ) f ( y 3 ( n m + 1 ) p ) ] × f ( y 4 ( n m + 1 ) p ) f ( y 5 ( n m + 1 ) p ) ] ] f ( y m 1 ( n m + 1 ) p ) f ( y m ( n m + 1 ) p ) ] , t ( n m + 1 ) ( n 1 ) p ) t t + φ ( 0 , 0 , , 0 , y 1 ( n m + 1 ) p , y 2 ( n m + 1 ) p , , y m ( n m + 1 ) p )

for all y 1 , y 2 ,, y m X and all t>0. Then

N ( H ( [ [ [ [ y 1 y 2 y 3 ] y 4 y 5 ] ] y m 1 y m ] ) [ [ [ [ H ( y 1 ) H ( y 2 ) H ( y 3 ) ] H ( y 4 ) H ( y 5 ) ] ] H ( y m 1 ) H ( y m ) ] , t ) = lim p N ( f ( [ [ [ [ y 1 y 2 y 3 ] y 4 y 5 ] ] y m 1 y m ] ( n m + 1 ) ( n 1 ) p ) ( n m + 1 ) ( n 1 ) p 1 ( n m + 1 ) ( n 1 ) p [ [ [ [ f ( y 1 ( n m + 1 ) p ) f ( y 2 ( n m + 1 ) p ) f ( y 3 ( n m + 1 ) p ) ] × f ( y 4 ( n m + 1 ) p ) f ( y 5 ( n m + 1 ) p ) ] ] × f ( y m 1 ( n m + 1 ) p ) f ( y m ( n m + 1 ) p ) ] , t ) lim p t ( n m + 1 ) ( n 1 ) p t ( n m + 1 ) ( n 1 ) p + φ ( 0 , 0 , , 0 , y 1 ( n m + 1 ) p , y 2 ( n m + 1 ) p , , y m ( n m + 1 ) p ) lim p t ( n m + 1 ) ( n 1 ) p t ( n m + 1 ) ( n 1 ) p + L p φ ( 0 , 0 , , 0 , y 1 , y 2 , , y m ) ( n m + 1 ) p = 1

for all y 1 , y 2 ,, y m X and all t>0. Hence

N ( H ( [ [ [ [ y 1 y 2 y 3 ] y 4 y 5 ] ] y m 1 y m ] ) [ [ [ [ H ( y 1 ) H ( y 2 ) H ( y 3 ) ] H ( y 4 ) H ( y 5 ) ] ] H ( y m 1 ) H ( y m ) ] , t ) = 1

for all y 1 , y 2 ,, y m X and all t>0. Hence

H ( [ [ [ [ y 1 y 2 y 3 ] y 4 y 5 ] ] y m 1 y m ] ) [ [ [ [ H ( y 1 ) H ( y 2 ) H ( y 3 ) ] H ( y 4 ) H ( y 5 ) ] ] H ( y m 1 ) H ( y m ) ]

for all y 1 , y 2 ,, y m X. This means that H is an m -homomorphism. This completes the proof. □

Theorem 2.2 Let φ: X n + m [0,) be a mapping such that there exists an L<1 with

φ( x 1 ,, x n + m )(nm+1)Lφ ( x 1 n m + 1 , , x n + m n m + 1 )

for all x 1 , x 2 ,, x n + m X. Let f:XY be a mapping with f(0)=0 satisfying (2.2). Then the limit H(x):=N- lim p f ( ( n m + 1 ) p x ) ( n m + 1 ) p exists for all xX and defines an m -homomorphism H:XY such that

N ( f ( x ) H ( x ) , t ) ( n m + 1 ) ( n m ) ( 1 L ) t ( n m + 1 ) ( n m ) ( 1 L ) t + φ ( x , x , , x , 0 , 0 , , 0 )
(2.7)

for all xX and all t>0.

Proof Let (S,d) be the metric space defined as in the proof of Theorem 2.1. Consider the mapping T:SS by Tg(x):= g ( ( n m + 1 ) x ) n m + 1 for all xX. One can show that d(g,h)=ϵ implies that d(Tg,Th)Lϵ for all positive real numbers ϵ. This means that T is a contraction on (S,d). The mapping

H(x):=N- lim p f ( ( n m + 1 ) p x ) ( n m + 1 ) p

is the unique fixed point of T in S. H has the following property:

(nm+1)H(x)=H ( ( n m + 1 ) x )
(2.8)

for all xX. This implies that H is a unique mapping satisfying (2.8) such that there exists μ(0,) satisfying N(f(x)H(x),μt) t t + φ ( x , x , , x , 0 , 0 , , 0 ) for all xX and t>0.

The rest of the proof is similar to the proof of Theorem 2.1. □

Now, we investigate the Hyers-Ulam-Rassias stability of m -derivations in ternary fuzzy Banach algebras.

Theorem 2.3 Let φ: X n + m [0,) be a mapping such that there exists an L< 1 ( n m + 1 ) n 2 with (2.1) Let f:XY with f(0)=0 be a mapping satisfying

N ( D f ( x 1 , , x n + m ) , t ) t t + φ ( x 1 , , x n , 0 , 0 , , 0 ) ,
(2.9)

for all μ T 1 , x 1 ,, x n + m X and all t>0. Then there exists a unique m -derivation D:XY such that

N ( f ( x ) D ( x ) , t ) ( n m + 1 ) ( n m ) ( 1 L ) t ( n m + 1 ) ( n m ) ( 1 L ) t + L φ ( x , , x , 0 , 0 , , 0 ) .
(2.10)

for all xX and all t>0.

Proof By the same reasoning as that in the proof of Theorem 2.1, the mapping D:XX defined by

D(x):=N- lim p f ( x ( n m + 1 ) p ) ( n m + 1 ) p (xX),

is a unique ℂ-linear mapping which satisfies (2.10). We show that D is an m -derivation. By (2.9),

N ( f ( [ [ [ [ y 1 y 2 y 3 ] y 4 y 5 ] ] y m 1 y m ] ( n m + 1 ) ( n 1 ) p ) ( n m + 1 ) ( n 1 ) p 1 ( n m + 1 ) ( n 1 ) p ( [ [ [ [ f ( y 1 ( n m + 1 ) p ) y 2 y 3 ] y 4 y 5 ] ] y m 1 y m ] + [ [ [ [ y 1 f ( y 2 ( n m + 1 ) p ) y 3 ] y 4 y 5 ] ] y m 1 y m ] + [ [ [ [ y 1 y 2 f ( y 3 ( n m + 1 ) p ) ] y 4 y 5 ] ] y m 1 y m ] ) [ [ [ [ y 1 y 2 y 3 ] f ( y 4 ( n m + 1 ) p ) y 5 ] ] y m 1 y m ] ( n m + 1 ) ( n 1 ) p [ [ [ [ y 1 y 2 y 3 ] y 4 f ( y 5 ( n m + 1 ) p ) ] ] y m 1 y m ] ( n m + 1 ) ( n 1 ) p [ [ [ [ y 1 y 2 y 3 ] y 4 y 5 ] ] f ( y m 1 ( n m + 1 ) p ) y m ] ( n m + 1 ) ( n 1 ) p [ [ [ [ y 1 y 2 y 3 ] y 4 y 5 ] ] y m 1 f ( y m ( n m + 1 ) p ) ] ( n m + 1 ) ( n 1 ) p , t ( n m + 1 ) ( n 1 ) p ) t t + φ ( 0 , 0 , , 0 , y 1 ( n m + 1 ) p , y 2 ( n m + 1 ) p , , y m ( n m + 1 ) p )
(2.11)

for all a,b,cX and all t>0. Then we have

N ( D ( [ [ [ [ y 1 y 2 y 3 ] y 4 y 5 ] ] y m 1 y m ] ) [ [ [ [ D ( y 1 ) y 2 y 3 ] y 4 y 5 ] ] y m 1 y m ] [ [ [ [ y 1 D ( y 2 ) y 3 ] y 4 y 5 ] ] y m 1 y m ] [ [ [ [ y 1 y 2 D ( y 3 ) ] y 4 y 5 ] ] y m 1 y m ] [ [ [ [ y 1 y 2 y 3 ] D ( y 4 ) y 5 ] ] y m 1 y m ] [ [ [ [ y 1 y 2 y 3 ] y 4 D ( y 5 ) ] y 6 ] y m 1 y m ] [ [ [ [ y 1 y 2 y 3 ] y 4 y 5 ] ] D ( y m 1 ) y m ] [ [ [ [ y 1 y 2 y 3 ] y 4 y 5 ] ] y m 1 D ( y m ) ] , t ) = lim p N ( f ( [ [ [ [ y 1 y 2 y 3 ] y 4 y 5 ] ] y m 1 y m ] ( n m + 1 ) ( n 1 ) p ) ( n m + 1 ) ( n 1 ) p 1 ( n m + 1 ) ( n 1 ) p ( [ [ [ [ f ( y 1 ( n m + 1 ) p ) y 2 y 3 ] y 4 y 5 ] ] y m 1 y m ] + [ [ [ [ y 1 f ( y 2 ( n m + 1 ) p ) y 3 ] y 4 y 5 ] ] y m 1 y m ] + [ [ [ [ y 1 y 2 f ( y 3 ( n m + 1 ) p ) ] y 4 y 5 ] ] y m 1 y m ] ) [ [ [ [ y 1 y 2 y 3 ] f ( y 4 ( n m + 1 ) p ) y 5 ] ] y m 1 y m ] ( n m + 1 ) ( n 1 ) p [ [ [ [ y 1 y 2 y 3 ] y 4 f ( y 5 ( n m + 1 ) p ) ] ] y m 1 y m ] ( n m + 1 ) ( n 1 ) p [ [ [ [ y 1 y 2 y 3 ] y 4 y 5 ] ] f ( y m 1 ( n m + 1 ) p ) y m ] ( n m + 1 ) ( n 1 ) p [ [ [ [ y 1 y 2 y 3 ] y 4 y 5 ] ] y m 1 f ( y m ( n m + 1 ) p ) ] ( n m + 1 ) ( n 1 ) p , t ) lim p t ( n m + 1 ) ( n 1 ) p t ( n m + 1 ) ( n 1 ) p + φ ( 0 , 0 , , 0 , y 1 ( n m + 1 ) p , y 2 ( n m + 1 ) p , , y m ( n m + 1 ) p ) lim p t ( n m + 1 ) ( n 1 ) p t ( n m + 1 ) ( n 1 ) p + L p φ ( 0 , 0 , , 0 , y 1 , y 2 , , y m ) ( n m + 1 ) p = 1

for all y 1 , y 2 ,, y m X and all t>0. It follows that D is an m -derivation. □

Theorem 2.4 Let φ: X n + m [0,) be a mapping such that there exists an L<1 with

φ( x 1 ,, x n + m )(nm+1)Lφ ( x 1 n m + 1 , , x n + m n m + 1 )

for all x 1 , x 2 ,, x n + m X. Let f:XY be a mapping with f(0)=0 satisfying (2.9). Then the limit D(x):=N- lim p f ( ( n m + 1 ) p x ) ( n m + 1 ) p exists for all xX and defines an m -derivation D:XY such that

N ( f ( x ) D ( x ) , t ) ( n m + 1 ) ( n m ) ( 1 L ) t ( n m + 1 ) ( n m ) ( 1 L ) t + φ ( x , x , , x , 0 , 0 , , 0 )
(2.12)

for all xX and all t>0.