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Representation and Stability concerning General Nonic Functional Equation

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25 May 2023

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29 May 2023

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Abstract
In this paper, we introduce a way of representing a given mapping as the sum of odd and even mappings. Then, by using this representation, we investigate the stability of various forms for the general nonic functional equation.
Keywords: 
Subject: Computer Science and Mathematics  -   Analysis

1. Introduction

The various types of stability for functional equations are very interesting material in the field of mathematical analysis. The stability problems of functional equations have been developed by some authors ; see [8,10,21,24]. In paricular, Gilányi [9] has investigated the stability of the monomial functional equation in real normed spaces. Subsequent studies have improved the results of Gilányi (for example, [6,11,13]). Moreover, the hyperstability of the monomial functional equation can be found in [1,13,14]. The hyperstability of functional equation means that arbitrary mappings satisfying equation approximately (in some sense) must be really solution to it (refer to [19]).
In this paper, we discuss the general functional equation :
i = 0 n n C i ( 1 ) n i f ( x + i y ) = 0 .
This functional equation is called as the general nonic functional equation, specially, for n = 10 . The function f ( x ) : = i = 0 n 1 a i x i is a particular solution of (1.1), while the function f ( x ) : = a x n is a particular solution of the n-monomial functional equation
i = 0 n n C i ( 1 ) n i f ( x + i y ) n ! f ( x ) = 0 .
One can find more details in [3]. The functional equation (1.2) is said to be a nonic functional equation, specially, for n = 10 . That is the reason that we call the equation (1) as the general nonic functional equation, specially, for n = 10 .
On the other hand, the rest of this paper is organized as follows. In section 2 , we study a way of representing a given mapping as the sum of odd and even mappings. In section 3 , we investigate the hyperstability of the general nonic functional equation, that is, (1.1) for n = 10 . And then in section 4 , we discuss the stability problem of the general nonic functional equation.
Not much study has been conducted on the general nonic functional equations. The big advantage of this paper is the uniqueness of the solution in the stability of the general nonic functional equation. The uniqueness of the solution in the stability of the monomial functional equation have been discussed in many researches. But, the uniqueness of the solution in the stability of the general nonic functional equations is more complicated problem. Considering the special representation of a given mapping, we then solved this problem.
In the papers [2,4,5,12,23], one can see the hyperstability result of the functional equations. The recent results of the stability of the general functional equation (1.1) can be found in [7,15,16,17,18,20,22].
Lastly, before going into the content of the paper, readers should recall that X is a normed space and Y is a Banach space throughout this paper.

2. Representation of a given mapping

In this section, we will introduce a way of representing a given mapping as the sum of odd and even mappings.
For a given mapping f : X Y , we denote
f o ( x ) : = f ( x ) f ( x ) 2 , f e ( x ) : = f ( x ) + f ( x ) 2 .
Let us consider the following system of nonhomogeneous linear equations
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and
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for all x X . Then, we obtain the following lemmas by the uniqueness of solution stated in Cramer’s rule.
 Lemma 1. 
Let f : X Y be a given mapping and
M : = 1 1 1 1 1 2 8 32 128 512 2 2 8 2 32 2 128 2 512 2 2 3 8 3 32 3 128 3 512 3 2 4 8 4 32 4 128 4 512 4 .
Then, we have the mappings f 1 , f 3 , f 5 , f 7 , f 9 : X Y defined by formulas
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for all x X . Furthermore, f o ( x ) = f 1 ( x ) + f 3 ( x ) + f 5 ( x ) + f 7 ( x ) + f 9 ( x ) for all x X .
 Lemma 2. 
Let f : X Y be a given mapping and
M : = 1 1 1 1 4 16 64 256 4 2 16 2 64 2 256 2 4 3 16 3 64 3 256 3 .
Then, we have the mappings f 2 , f 4 , f 6 , f 8 : X Y defined by formulas
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for all x X and f e ( x ) = f 2 ( x ) + f 4 ( x ) + f 6 ( x ) + f 8 ( x ) for all x X .
 Remark 1. 
By Lemma 1and Lemma 2, we have the following results :For all x X ,
f 1 ( x ) : = f o ( 16 x ) 680 f o ( 8 x ) + 91392 f o ( 4 x ) 2785280 f o ( 2 x ) + 16777216 f o ( x ) 722925 · 16 , f 2 ( x ) : = f e ( 8 x ) 336 f e ( 4 x ) 21504 f e ( 2 x ) 262144 f e ( x ) 2835 · 64 , f 3 ( x ) : = 5440 ( f o ( 16 x ) 674 f o ( 8 x ) + 87360 f o ( 4 x ) 2269184 f o ( 2 x ) + 4194304 f o ( x ) ) 722925 · 65536 , f 4 ( x ) : = f e ( 8 x ) 324 f e ( 4 x ) 17664 f e ( 2 x ) 65536 f e ( x ) ) 135 · 1024 , f 5 ( x ) : = 1428 ( f o ( 16 x ) 650 f o ( 8 x ) + 71952 f o ( 4 x ) 665600 f o ( 2 x ) + 1048576 f o ( x ) 722925 · 65536 , f 6 ( x ) : = f e ( 8 x ) 276 f e ( 4 x ) 5184 f e ( 2 x ) 16384 f e ( x ) ) 135 · 4096 , f 7 ( x ) : = 85 ( f o ( 16 x ) 554 f o ( 8 x ) + 21840 f o ( 4 x ) 172544 f o ( 2 x ) + 262144 f o ( x ) ) 722925 · 65536 , f 8 ( x ) : = f e ( 8 x ) 84 f e ( 4 x ) 1344 f e ( 2 x ) 4096 f e ( x ) ) 2835 · 4096 , f 9 ( x ) : = f o ( 16 x ) 170 f o ( 8 x ) + 5712 f o ( 4 x ) 43520 f o ( 2 x ) + 65536 f o ( x ) 722925 · 65536 .
Moreover,
f ( x ) = i = 1 9 f i ( x ) for all x X .
From now on, we define the mappings needed to prove main theorems.
 Definition 1. 
For a given mapping f : X Y , we define as
f ˜ ( x ) : = f ( x ) f ( 0 ) , D f ( x , y ) : = i = 0 10 10 C i ( 1 ) 10 i f ( x + i y ) , Γ f ( x ) : = D f o ( 12 x , 4 x ) + 10 D f o ( 8 x , 4 x ) + 55 D f o ( 4 x , 4 x ) + 220 D f o ( 10 x , 2 x ) + 2200 D f o ( 8 x , 2 x ) + 9988 D f o ( 6 x , 2 x ) + 27280 D f o ( 4 x , 2 x ) + 45352 D f o ( 2 x , 2 x ) + 17920 D f o ( 5 x , x ) + 179200 D f o ( 4 x , x ) + 760320 D f o ( 3 x , x ) + 1689600 D f o ( 2 x , x ) + 1790976 D f o ( x , x ) , Δ f ( x ) : = D f e ( 6 x , 2 x ) + 10 D f e ( 4 x , 2 x ) + 55 D f e ( 2 x , 2 x ) + 110 D f e ( 0 , 2 x ) + 320 D f e ( 3 x , x ) + 3200 D f e ( 2 x , x ) + 12992 D f e ( x , x ) + 12160 D f e ( 0 , x )
for all x , y X .
As results of tedious calculation, we obtain the following lemmas :
 Lemma 3. 
Let f : X Y be an arbitrarily given mapping. Then, the equalities
f ˜ ( x ) = i = 1 9 f ˜ i ( x ) , D f ˜ ( x , y ) = D f ( x , y ) , Γ f ˜ ( x ) = f o ( 32 x ) 682 f o ( 16 x ) + 92752 f o ( 8 x ) 2968064 f o ( 4 x ) , + 22347776 f o ( 2 x ) 33554432 f o ( x ) , Δ f ˜ ( x ) = f e ( 16 x ) 340 f e ( 8 x ) + 22848 f e ( 4 x ) 348160 f e ( 2 x ) + 1048576 f e ( x )
hold for all x , y X .
 Lemma 4. 
Let f : X Y be an arbitrarily given mapping. Then, we have that
f ˜ 1 ( x ) f ˜ 1 ( 2 x ) 2 = Γ f ˜ o ( x ) 722925 · 32 , f ˜ 2 ( x ) f ˜ 2 ( 2 x ) 4 = Δ f ˜ e ( x ) 2835 · 256 , f ˜ 3 ( x ) f ˜ 3 ( 2 x ) 8 = 5440 Γ f ˜ o ( x ) 722925 · 65536 · 8 , f ˜ 4 ( x ) f ˜ 4 ( 2 x ) 16 = 21 Δ f ˜ e ( x ) 2835 · 256 · 64 , f ˜ 5 ( x ) f ˜ 5 ( 2 x ) 32 = 1428 Γ f ˜ o ( x ) 722925 · 32 · 65536 , f ˜ 6 ( x ) f ˜ 6 ( 2 x ) 64 = 21 Δ f ˜ e ( x ) 2835 · 256 · 1024 , f ˜ 7 ( x ) f ˜ 7 ( 2 x ) 128 = 85 Γ f ˜ o ( x ) 722925 · 65536 · 128 , f ˜ 8 ( x ) f ˜ 8 ( 2 x ) 256 = Δ f ˜ e ( x ) 2835 · 256 · 4096 , f ˜ 9 ( x ) f ˜ 9 ( 2 x ) 512 = Γ f ˜ o ( x ) 722925 · 65536 · 512
are fulfilled for all x , y X .
 Lemma 5. 
If f : X Y is a mapping such that D f ( x , y ) = 0 for all x , y X with f ( 0 ) = 0 , then for each i { 1 , 2 , , 9 } , the mappings f i ( x ) in Remark 1satisfy the equalities D f i ( x , y ) = 0 for all x X and f i ( 2 x ) = 2 i f i ( x ) for all x , y X .
Proof. Since D f ( x , y ) = 0 for all x , y X , by the definition of f i , Γ f and Δ f , we have
D f i ( x , y ) = 0 , Δ f ( x ) = 0 , Γ f ( x ) = 0 .
Applying Lemma 4, we arrive at f i ( 2 x ) = 2 i f i ( x ) .

3. Hyperstability of the general nonic functional equation

In this section, we will prove the hyperstability of the general nonic functional equation. To prove main theorem, we will use the functions introduced in previous section.
 Theorem 1. 
Let p < 0 be a real number. Suppose that f : X Y is a mapping such that
D f ( x , y ) x p + y p θ for all x , y X { 0 } .
Then, D f ( x , y ) = 0 is fulfilled for all x , y X .
Proof.•  STEP  1 : Using the definition of f ˜ together with
i = 0 10 10 C i ( 1 ) 10 i = 0 ,
we have that
D f ˜ ( x , y ) = D f ( x , y ) , f ˜ ( 0 ) = 0 .
From the expression (3.1) and the definitions of Γ f and Δ f , we get
Γ f ˜ ( x ) 47377612800 K θ x p , Δ f ˜ ( x ) 11612160 K θ x p
for all x X { 0 } , where
K : = 220 · 20 p + 55 · 16 p + 10 · 12 p + 17920 · 10 p + 45353 · 8 p + 27280 · 6 p 47377612800 + 1801030 · 4 p + 1689600 · 3 p + 847560 · 2 p + 4617216 47377612800 , K : = 110 · 10 p + 55 · 8 p + 10 · 6 p + 12160 · 5 p + 12993 · 4 p + 3200 · 3 p + 496 · 2 p + 28672 11612160 .
Then, Lemma 3 and the definitions of f k ( k { 1 , 2 , , 9 } ) ensure the inequalities
f ˜ 1 ( 2 i x ) 2 i f ˜ 1 ( 2 i + 1 x ) 2 i + 1 = 4096 Γ f ˜ o ( x ) 47377612800 · 2 i + 1 4096 K θ x p 2 i + 1 , f ˜ 2 ( 2 i x ) 4 i f ˜ 2 ( 2 i + 1 x ) 4 i + 1 = 64 Δ f ˜ e ( x ) 11612160 · 4 i + 1 64 K θ x p 4 i + 1 , f ˜ 3 ( 2 i x ) 8 i f ˜ 3 ( 2 i + 1 x ) 8 i + 1 = 5440 Γ f ˜ o ( x ) 47377612800 · 8 i + 1 5440 K θ x p 8 i + 1 , f ˜ 4 ( 2 i x ) 16 i f ˜ 4 ( 2 i + 1 x ) 16 i + 1 = 84 Δ f ˜ e ( x ) 11612160 · 16 i + 1 84 K θ x p 16 i + 1 f ˜ 5 ( 2 i x ) 32 i f ˜ 5 ( 2 i + 1 x ) 32 i + 1 = 1428 Γ f ˜ o ( x ) 47377612800 · 32 i + 1 1428 K θ x p 32 i + 1 , f ˜ 6 ( 2 i x ) 64 i f ˜ 6 ( 2 i + 1 x ) 64 i + 1 = 21 Δ f ˜ e ( x ) 11612160 · 64 i + 1 21 K θ x p 64 i + 1 , f ˜ 7 ( 2 i x ) 128 i f ˜ 7 ( 2 i + 1 x ) 128 i + 1 = 85 Γ f ˜ o ( x ) 47377612800 · 128 i + 1 85 K θ x p 128 i + 1 , f ˜ 8 ( 2 i x ) 256 i f ˜ 8 ( 2 i + 1 x ) 256 i + 1 = Δ f ˜ e ( x ) 11612160 · 256 i + 1 K θ x p 256 i + 1 , f ˜ 9 ( 2 i x ) 512 i f ˜ 9 ( 2 i + 1 x ) 512 i + 1 = Γ f ˜ o ( x ) 47377612800 · 512 i + 1 K θ x p 512 i + 1
for all x X { 0 } . Note that
k = 1 9 f ˜ k ( 2 n x ) 2 k n k = 1 9 f ˜ k ( 2 n + m x ) 2 k ( n + m ) = i = n n + m 1 k = 1 9 f ˜ k ( 2 i x ) 2 k i k = 1 9 f ˜ k ( 2 i + 1 x ) 2 k ( i + 1 ) .
This implies that
k = 1 9 f ˜ k ( 2 n x ) 2 k n k = 1 9 f ˜ k ( 2 n + m x ) 2 k ( n + m ) i = n n + m 1 ( 4096 K 2 i + 1 + 64 K 4 i + 1 + 5440 K 8 i + 1 + 84 K 16 i + 1 + 1428 K 32 i + 1 + 21 K 64 i + 1 + 85 K 128 i + 1 + K 256 i + 1 + K 512 i + 1 ) · θ x p
for all x X { 0 } and n , m N { 0 } . Due to p < 0 , the sequences { f ˜ 1 ( 2 n x ) 2 n } , , { f ˜ 9 ( 2 n x ) 2 9 n } and { k = 1 9 f ˜ k ( 2 n x ) 2 k n } are Cauchy for all x X { 0 } . Since Y is complete and f ˜ ( 0 ) = 0 , the sequences { f ˜ 1 ( 2 n x ) 2 n } , , { f ˜ 9 ( 2 n x ) 2 9 n } and { k = 1 9 f ˜ k ( 2 n x ) 2 k n } converge for all x X . Hence, for each k { 1 , 2 , , 9 } , we can define mappings F k , F : X Y by
F k ( x ) : = lim n f ˜ k ( 2 n x ) 2 k n , F ( x ) : = lim n k = 1 9 f ˜ k ( 2 n x ) 2 k n ( x X ) .
•  STEP  2 : By (3.1) and the definitions of D f , F 1 and f 1 , since D f 1 ( x , y ) = D f ˜ 1 ( x , y ) , we then have
D F 1 ( x , y ) = lim n D f ˜ 1 ( 2 n x , 2 n y ) 2 n = lim n D f 1 ( 2 n x , 2 n y ) 2 n = lim n 16777216 D f o ( 2 n x , 2 n y ) 11566800 · 2 n 2785280 D f o ( 2 n + 1 x , 2 n + 1 y ) 11566800 · 2 n + 91392 f o ( 2 n + 2 x , 2 n + 2 y ) 11566800 · 2 n 680 D f o ( 2 n + 3 x , 2 n + 3 y ) 11566800 · 2 n + D f o ( 2 n + 4 x , 2 n + 4 y ) 11566800 · 2 n lim n 16777216 + 2785280 · 2 p + 91392 · 2 2 p + 680 · 2 3 p + 2 4 p 11566800 · 2 n p 2 n θ x p + y p = 0
for all x , y X { 0 } . On the other hand, from the definition of D F 1 , we have
D F 1 ( x , 0 ) = i = 0 10 10 C i ( 1 ) 10 i F 1 ( x + i 0 ) = F 1 ( x ) i = 0 10 10 C i ( 1 ) 10 i = 0
for all x X . And, in view of (3.3), we obtain
D F 1 ( 0 , y ) = D F 1 ( 10 y , y ) = 0 f o r a l l y X { 0 } .
Therefore, the relations (3.3), (3.4) and (3.5) yield that D F 1 ( x , y ) = 0 for all x , y X . Similarly, we can show that D F k ( x , y ) = 0 for each k { 2 , 3 , , 9 } and all x , y X . Since D F ( x , y ) = k = 1 9 D F k ( x , y ) for all x , y X , we get D F ( x , y ) = 0 for all x , y X .
•  STEP  3 : Observe that for all x X ,
D f ˜ ( x , y ) D F ( x , y ) = i = 0 10 10 C i ( 1 ) 10 i f ˜ ( x + i y ) F ( x + i y ) , D F ( ( 1 n ) x , n x ) = 0 .
Then, we see that
D f ˜ ( ( 1 n ) x , n x ) = f ˜ ( ( 1 n ) x ) F ( ( 1 n ) x ) 10 f ˜ ( x ) + 10 F ( x ) + i = 2 10 10 C i ( 1 ) 10 i f ˜ ( ( 1 n ) x + i n x ) F ( ( 1 n ) x + i n x )
for any n N and x X { 0 } . Moreover, by letting n = 0 and taking the limit m in (3.2), we get the inequalities
f ˜ ( x ) F ( x ) ( 4096 K 2 2 p + 64 K 4 2 p + 5440 K 8 2 p + 84 K 16 2 p + 1428 K 32 2 p + 21 K 64 2 p + 85 K 128 2 p + K 256 2 p + K 512 2 p ) · θ x p
for all x X .
Since p < 0 , by (3.1), (3.6) and (3.7), we are forced to conclude that
10 · f ˜ ( x ) F ( x ) lim n D f ˜ ( ( 1 n ) x , n x ) + lim n f ˜ ( ( 1 n ) x ) F ( ( 1 n ) x + i = 2 10 lim n 10 C i ( f ˜ ( ( ( i 1 ) n + 1 ) x ) F ( ( ( i 1 ) n + 1 ) x ) lim n ( n 1 ) p + n p + M ( n 1 ) p + i = 2 10 10 C i ( i 1 ) n + 1 ) p · θ x p = 0
for all x X { 0 } , where
M : = 4096 K 2 2 p + 64 K 4 2 p + 5440 K 8 2 p + 84 K 16 2 p + 1428 K 32 2 p + 21 K 64 2 p + 85 K 128 2 p + K 256 2 p + K 512 2 p .
So, we have f ˜ ( x ) F ( x ) = 0 for all x X { 0 } . Since f ˜ ( 0 ) = 0 = F ( 0 ) , we have f ˜ ( x ) = F ( x ) for all x X . Therefore, D f ˜ ( x , y ) = D F ( x , y ) = 0 for all x , y X . From the fact that D f ˜ ( x , y ) = D f ( x , y ) , we finally have
D f ( x , y ) = D f ˜ ( x , y ) = D F ( x , y ) = 0 ,
which completes the proof. □

4. Stability of the general nonic functional equation

In this section, we will consider the stability of the general nonic functional equation
i = 0 10 10 C i ( 1 ) 10 i f ( x + i y ) = 0 .
 Theorem 2. 
Let p 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 be a nonnegative real number. Suppose that f : X Y is a mapping such that for all x , y X ,
D f ( x , y ) θ x p + y p .
Then, there exists a unique mapping F satisfying D F ( x , y ) = 0 and
f ˜ ( x ) F ( x ) 4096 | 2 2 p | + 5440 | 8 2 p | + 1428 | 32 2 p | + 85 | 128 2 p | + 1 | 512 2 p | · K θ x p 4096 + 64 | 4 2 p | + 84 | 16 2 p | + 21 | 64 2 p | + 1 | 256 2 p | · K θ x p 64 ,
for all x X , where K : = 6 p + 10 · 4 p + 320 · 3 p + 3431 · 2 p + 41664 and
K : = 12 p + 220 · 10 p + 2210 · 8 p + 9988 · 6 p + 17920 · 5 p + 206601 · 4 p + 760320 · 3 p + 1819992 · 2 p + 6228992 .
Proof. From the definition of f ˜ , we get D f ˜ ( x , y ) = D f ( x , y ) and f ˜ ( 0 ) = 0 . By (4.1) and the definition of Γ f and Δ f , we have that
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722925 · 16 K θ x p , Δ f ˜ ( x ) = D f e ( 6 x , 2 x ) + 10 D f e ( 4 x , 2 x ) + 55 D f e ( 2 x , 2 x ) + 110 D f e ( 0 , 2 x ) + 320 D f e ( 3 x , x ) + 3200 D f e ( 2 x , x ) + 12992 D f e ( x , x ) + 12160 D f e ( 0 , x ) ( 6 p + 2 p + 10 · 4 p + 10 · 2 p + 110 · 2 p + 110 · 2 p + 320 · 3 p + 320 + 3200 · 2 p + 3200 + 25984 + 12160 ) · θ x p
2835 · 64 K θ x p
for all x X .
Next, for i { 1 , 2 , , 9 } , we will find F k to make F ( x ) = k = 1 9 F k ( x ) . For each given p 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , we will use different approach to find the functions F k .
Setting F 1 : Let 0 p < 1 . It follows from Lemma 4 and (4.3) that
f ˜ 1 ( 2 i x ) 2 i f ˜ 1 ( 2 i + 1 x ) 2 i + 1 = Γ f ˜ ( 2 i x ) 722925 · 32 · 2 i K θ x p 2 · 2 i ,
for all x X . Notice that for all x X ,
f ˜ 1 ( 2 n x ) 2 n f ˜ 1 ( 2 n + m x ) 2 n + m = i = n n + m 1 f ˜ 1 ( 2 i x ) 2 i f ˜ 1 ( 2 i + 1 x ) 2 i + 1 ,
which implies that
f ˜ 1 ( 2 n x ) 2 n f ˜ 1 ( 2 n + m x ) 2 n + m i = n n + m 1 K 2 i p θ x p 2 · 2 i
for all x X and n , m N { 0 } . By (4.5), the sequence { f ˜ 1 ( 2 n x ) 2 n } is Cauchy for all x X , because of the fact that 0 p < 1 . Since Y is complete, the sequence { f ˜ 1 ( 2 n x ) 2 n } converges. Hence, we may define a mapping F 1 : X Y by
F 1 ( x ) : = lim n f ˜ 1 ( 2 n x ) 2 n for all x X .
Moreover, letting n = 0 and taking the limit m in (4.5), we get the inequality
f ˜ 1 ( x ) F 1 ( x ) K θ x p 2 2 p for all x X .
By the definition of F 1 , we easily get F 1 ( 2 x ) = 2 F 1 ( x ) for all x X and
D F 1 ( x , y ) = lim n D f 1 ( 2 n x , 2 n y ) 2 n = lim n 16777216 D f o ( 2 n x , 2 n y ) 11566800 · 2 n 2785280 D f o ( 2 n + 1 x , 2 n + 1 y ) 11566800 · 2 n + 91392 D f o ( 2 n + 2 x , 2 n + 2 y ) 11566800 · 2 n 680 D f o ( 2 n + 3 x , 2 n + 3 y ) 11566800 · 2 n D f o ( 2 n + 4 x , 2 n + 4 y ) 11566800 · 2 n lim n 16777216 · 2 n p θ ( x p + y p ) 11566800 · 2 n + lim n 2785280 · 2 ( n + 1 ) p θ ( x p + y p ) 11566800 · 2 n + lim n 91392 · 2 ( n + 2 ) p θ ( x p + y p ) ) 11566800 · 2 n + lim n 680 · 2 ( n + 3 ) p θ ( x p + y p ) ) 11566800 · 2 n + lim n 2 ( n + 4 ) p θ ( x p + y p ) ) 11566800 · 2 n = 0
for all x , y X .
Let p > 1 . It follows from Lemma 4 and (4.3) that
2 i f ˜ 1 ( 2 i x ) 2 i + 1 f ˜ 1 ( 2 i 1 x ) 2 i Γ f ˜ ( 2 i 1 x ) 722925 · 16 K 2 i θ x p 2 ( i + 1 ) p
for all x X . Because of the fact that
2 n f ˜ 1 ( 2 n x ) 2 n + m f ˜ 1 ( 2 n m x ) = i = n n + m 1 ( 2 i f ˜ 1 ( 2 i x ) 2 i + 1 f ˜ 1 ( 2 i 1 x )
for all x X , we have
2 n f ˜ 1 ( 2 n x ) 2 n + m f ˜ 1 ( 2 n m x ) i = n n + m 1 K 2 i θ x p 2 ( i + 1 ) p
for all x X and n , m N { 0 } . Since p > 1 , by (4.6), the sequence { 2 n f ˜ 1 ( 2 n x ) } is Cauchy for all x X . By the completeness of Y , we know that the sequence { 2 n f ˜ 1 ( 2 n x ) } converges. Hence, we can define a mapping F 1 : X Y by
F 1 ( x ) : = lim n 2 n f ˜ 1 ( 2 n x ) for all x X .
However, letting n = 0 and passing the limit m in (4.6) we get the inequality
f ˜ 1 ( x ) F 1 ( x ) K θ x p 2 p 2 for all x X .
From the definition of F 1 , we easily get F 1 ( 2 x ) = 2 F 1 ( x ) for all x X and D F 1 ( x , y ) = 0 for all x , y X .
Setting F 2 : Let p < 2 . It follows from Lemma 4 and (4.4) that
f ˜ 2 ( 2 n x ) 4 n f ˜ 2 ( 2 n + m x ) 4 n + m = Δ f ˜ e ( 2 i x ) 2835 · 256 · 4 i i = n n + m 1 K 2 i p θ x p 4 · 4 i
for all x X and n , m N { 0 } . Since p < 2 , we have from (4.7) that the sequence { f ˜ 2 ( 2 n x ) 4 n } is Cauchy for all x X . By the completeness of Y , the sequence { f ˜ 2 ( 2 n x ) 4 n } converges. Hence, we can define a mapping F 2 : X Y by
F 2 ( x ) : = lim n f ˜ 2 ( 2 n x ) 4 n for all x X .
Now, letting n = 0 and passing the limit m in (4.7), we obtain that
f ˜ 2 ( x ) F 2 ( x ) K θ x p 4 2 p for all x X .
From the definition of F 2 , we then have F 2 ( 2 x ) = 4 F 2 ( x ) for all x X and D F 2 ( x , y ) = 0 for all x , y X .
Let p > 2 . It follows from Lemma 4 and (4.4) that
4 n f ˜ 2 ( 2 n x ) 4 n + m f ˜ 2 ( 2 n m x ) i = n n + m 1 K 4 i θ x p 2 ( i + 1 ) p
for all x X and n , m N { 0 } . Since p > 2 , we have by (4.9) that the sequence 4 n f ˜ 2 ( 2 n x ) is Cauchy for all x X . Since Y is complete, the sequence { 4 n f ˜ 2 ( 2 n x ) } converges. Then, we can define a mapping F 2 : X Y by
F 2 ( x ) : = lim n 4 n f ˜ 2 ( 2 n x ) for all x X .
In (4.9), puting n = 0 and passing the limit m , one obtains that
f ˜ 2 ( x ) F 2 ( x ) K θ x p 2 p 4 for all x X .
According the definition of F 2 , we arrive at F 2 ( 2 x ) = 4 F 2 ( x ) for all x X and D F 2 ( x , y ) = 0 for all x , y X .
Setting F 3 : Let p < 3 . It follows by Lemma 4 and (4.3) that
f ˜ 3 ( 2 n x ) 8 n f ˜ 3 ( 2 n + m x ) 8 n + m = 5440 Γ f ˜ ( 2 i x ) 722925 · 524288 · 8 i i = n n + m 1 5440 K 2 i p θ x p 32768 · 8 i
for all x X and n , m N { 0 } . Since p < 3 , we see by (4.10) that the sequence { f ˜ 3 ( 2 n x ) 8 n } is Cauchy for all x X . From the completeness of Y , the sequence { f ˜ 3 ( 2 n x ) 8 n } converges. So, we may define a mapping F 3 : X Y by
F 3 ( x ) : = lim n f ˜ 3 ( 2 n x ) 8 n for all x X .
Taking n = 0 and sending the limit m in (4.10), we find that
f ˜ 3 ( x ) F 3 ( x ) 5440 K θ x p 4096 ( 8 2 p )
for all x X . Based on the definition of F 3 , we yield that F 3 ( 2 x ) = 8 F 3 ( x ) for all x X and D F 3 ( x , y ) = 0 for all x , y X .
Let p > 3 . The lemma 4 and (4.3) guarantee that
8 n f ˜ 3 ( 2 n x ) 8 n + m f ˜ 3 ( 2 n m x ) i = n n + m 1 5440 K 8 i θ x p 4096 · 2 ( i + 1 ) p
for all x X and n , m N { 0 } . Since p > 3 , we have from (4.11) that { 8 n f ˜ 3 ( 2 n x ) } is a Cauchy sequence for all x X . So, because Y is complete, the sequence { 8 n f ˜ 3 ( 2 n x ) } converges. Then, we may define a mapping F 3 : X Y by
F 3 ( x ) : = lim n 8 n f ˜ 3 ( 2 n x ) for all x X .
Let n = 0 and take the limit m in (4.11) and then
f ˜ 3 ( x ) F 3 ( x ) 5440 K θ x p 4096 ( 2 p 8 ) for all x X .
The definition of F 3 gives that F 3 ( 2 x ) = 8 F 3 ( x ) for all x X and D F 3 ( x , y ) = 0 for all x , y X .
Setting F 4 : Let p < 4 . It follows from Lemma 4 and (4.4) that
f ˜ 4 ( 2 n x ) 16 n f ˜ 4 ( 2 n + m x ) 16 n + m = 21 Δ f ˜ e ( 2 i x ) 2835 · 16384 · 16 i i = n n + m 1 21 K 2 i p θ x p 256 · 16 i
for all x X and n , m N { 0 } . Considering p < 4 and (4.12), the sequence { f ˜ 4 ( 2 n x ) 16 n } is Cauchy for all x X . Since Y is complete, the sequence { f ˜ 4 ( 2 n x ) 16 n } converges. Thereby, we can define a mapping F 4 : X Y by
F 4 ( x ) : = lim n f ˜ 4 ( 2 n x ) 16 n for all x X .
Now, by letting n = 0 and passing the limit m in (4.12), we obtain the inequality
f ˜ 4 ( x ) F 4 ( x ) 21 K θ x p 16 ( 16 2 p ) for all x X .
We have from the definition of F 4 that F 4 ( 2 x ) = 16 F 4 ( x ) for all x X and D F 4 ( x , y ) = 0 for all x , y X .
Let p > 4 . Lemma 4 and (4.4) imply that
16 n f ˜ 4 ( 2 n x ) 16 n + m f ˜ 4 ( 2 n m x ) i = n n + m 1 21 K 16 i θ x p 16 · 2 ( i + 1 ) p
for all x X and n , m N { 0 } . Since p > 4 , we have by (4.13) that 16 n f ˜ 4 ( 2 n x ) is a Cauchy sequence for all x X . Since Y is complete, the sequence { 16 n f ˜ 4 ( 2 n x ) } converges. Thus, we can define a mapping F 4 : X Y by
F 4 ( x ) : = lim n 16 n f ˜ 4 ( 2 n x ) for all x X .
Meanwhile, in (4.13), letting n = 0 and passing the limit m we then have the inequality
f ˜ 4 ( x ) F 4 ( x ) 21 K θ x p 16 ( 2 p 16 ) for all x X .
From the definition of F 4 , we see that F 4 ( 2 x ) = 16 F 4 ( x ) for all x X and D F 4 ( x , y ) = 0 for all x , y X .
Setting F 5 : Let p < 5 . It follows from Lemma 4 and (4.3) that
f ˜ 5 ( 2 n x ) 32 n f ˜ 5 ( 2 n + m x ) 32 n + m = 1428 Γ f ˜ ( 2 i x ) 722925 · 2097152 · 32 i i = n n + m 1 1428 K 2 i p θ x p 131072 · 32 i
for all x X and n , m N { 0 } . We have assume that p < 5 . So, we have by (4.14) that { f ˜ 5 ( 2 n x ) 32 n } is a Cauchy sequence for all x X . Since Y is complete, the sequence { f ˜ 5 ( 2 n x ) 32 n } converges. Hence, we can define a mapping F 5 : X Y by
F 5 ( x ) : = lim n f ˜ 5 ( 2 n x ) 32 n for all x X .
Moreover, letting n = 0 and passing the limit m in (4.14), we get the inequality
f ˜ 5 ( x ) F 5 ( x ) 1428 K θ x p 4096 ( 32 2 p ) for all x X .
With the help of the definition of F 5 , we obtain that F 5 ( 2 x ) = 32 F 5 ( x ) for all x X and D F 5 ( x , y ) = 0 for all x , y X .
Let p > 5 . In view of Lemma 4 and (4.3), we have that
32 n f ˜ 5 ( 2 n x ) 32 n + m f ˜ 5 ( 2 n m x ) i = n n + m 1 1428 · 32 i K θ x p 4096 · 2 ( i + 1 ) p
for all x X and n , m N { 0 } . It follows from p > 5 and (4.15) that the sequence { 32 n f ˜ 5 ( 2 n x ) } is Cauchy for all x X . Since Y is complete, we see that the sequence { 32 n f ˜ 5 ( 2 n x ) } converges. So, one can define a mapping F 5 : X Y by
F 5 ( x ) : = lim n 32 n f ˜ 5 ( 2 n x ) for all x X .
Furthermore, setting n = 0 and sending the limit m in (4.15), we lead to
f ˜ 5 ( x ) F 5 ( x ) 1428 K θ x p 4096 ( 2 p 32 ) for all x X .
By virtue of the definition of F 5 , we find that F 5 ( 2 x ) = 32 F 5 ( x ) for all x X and D F 5 ( x , y ) = 0 for all x , y X .
Setting F 6 : Let p < 6 . Combine Lemma 4 and (4.4) to find that
f ˜ 6 ( 2 n x ) 64 n f ˜ 6 ( 2 n + m x ) 64 n + m = 21 Δ f ˜ e ( 2 i x ) 2835 · 262144 · 64 i i = n n + m 1 21 K 2 i p θ x p 4096 · 64 i
for all x X and n , m N { 0 } . Then, since p < 6 , it follows by (4.16) that { f ˜ 6 ( 2 n x ) 64 n } is a Cauchy sequence for all x X . The completeness of Y ensures that the sequence { f ˜ 6 ( 2 n x ) 64 n } converges, so that, we define a mapping F 6 : X Y by
F 6 ( x ) : = lim n f ˜ 6 ( 2 n x ) 64 n for all x X .
But then, let n = 0 and take the limit as m in (4.16) to get
f ˜ 6 ( x ) F 6 ( x ) 21 K θ x p 64 ( 64 2 p ) for all x X .
According to the definition of F 6 , we have shown that F 6 ( 2 x ) = 64 F 6 ( x ) for all x X and D F 6 ( x , y ) = 0 for all x , y X .
Let p > 6 . It follows from Lemma 4 and (4.4) that
64 n f ˜ 6 ( 2 n x ) 64 n + m f ˜ 6 ( 2 n m x ) i = n n + m 1 21 · 64 i K θ x p 64 · 2 ( i + 1 ) p
for all x X and n , m N { 0 } . Since p > 6 , we see from (4.17) that the sequence { 64 n f ˜ 6 ( 2 n x ) } is Cauchy for all x X . Thus, by the completeness of Y, we find that the sequence { 64 n f ˜ 6 ( 2 n x ) } converges. Hence, we can define a mapping F 6 : X Y by
F 6 ( x ) : = lim n 64 n f ˜ 6 ( 2 n x ) for all x X .
In addition, put n = 0 and then let m in (4.17) to have
f ˜ 6 ( x ) F 6 ( x ) 21 K θ x p 64 ( 2 p 64 ) for all x X .
From the definition of F 6 , we get F 6 ( 2 x ) = 64 F 6 ( x ) for all x X and D F 6 ( x , y ) = 0 for all x , y X .
Setting F 7 : Let p < 7 . We know by Lemma 4 and (4.3) that
f ˜ 7 ( 2 n x ) 128 n f ˜ 7 ( 2 n + m x ) 128 n + m = 85 Γ f ˜ ( 2 i x ) 722925 · 8388608 · 128 i i = n n + m 1 85 K 2 i p θ x p 524504 · 128 i
for all x X and n , m N { 0 } . Based on the fact that p < 7 and (4.18), the sequence { f ˜ 7 ( 2 n x ) 128 n } is Cauchy for all x X . Since Y is complete, the sequence { f ˜ 7 ( 2 n x ) 128 n } converges. So, one can define a mapping F 7 : X Y by
F 7 ( x ) : = lim n f ˜ 7 ( 2 n x ) 128 n for all x X .
Moreover, letting n = 0 and passing the limit m in (4.18), we yield that
f ˜ 7 ( x ) F 7 ( x ) 85 K θ x p 4096 ( 128 2 p ) for all x X .
By the definition of F 7 , we have that F 7 ( 2 x ) = 128 F 7 ( x ) for all x X and D F 7 ( x , y ) = 0 for all x , y X .
Let p > 7 . Note that, by Lemma 4 and (4.3), we have
128 n f ˜ 7 ( 2 n x ) 128 n + m f ˜ 7 ( 2 n m x ) 85 · 128 i K θ x p 4096 · 2 ( i + 1 ) p
for all x X and n , m N { 0 } . On the basis of the assumption p > 7 and (4.19), we see that { 128 n f ˜ 7 ( 2 n x ) } is a Cauchy sequence for all x X . Since Y is complete, the sequence { 128 n f ˜ 7 ( 2 n x ) } converges for all x X . Therefore, we can define a mapping F 7 : X Y by
F 7 ( x ) : = lim n 128 n f ˜ 7 ( 2 n x ) for all x X .
In (4.19), set n = 0 and then let m to find
f ˜ 7 ( x ) F 7 ( x ) 85 K θ x p 4096 ( 2 p 128 ) for all x X .
By the definition of F 7 , it is shown that F 7 ( 2 x ) = 128 F 7 ( x ) for all x X and D F 7 ( x , y ) = 0 for all x , y X .
Setting F 8 : Let p < 8 . It follows from Lemma 4 and (4.4) that
f ˜ 8 ( 2 n x ) 256 n f ˜ 8 ( 2 n + m x ) 256 n + m = Δ f ˜ e ( 2 i x ) 2835 · 256 · 4096 · 256 i i = n n + m 1 K 2 i p θ x p 16384 · 256 i
for all x X and n , m N { 0 } . By the assumption p < 8 and (4.20), the sequence { f ˜ 8 ( 2 n x ) 256 n } is Cauchy for all x X . Since Y is complete, the sequence { f ˜ 8 ( 2 n x ) 256 n } converges. Hence, we can define a mapping F 8 : X Y by
F 8 ( x ) : = lim n f ˜ 8 ( 2 n x ) 256 n for all x X .
Letting n = 0 and passing the limit m in (4.20), we then have the following inequality
f ˜ 8 ( x ) F 8 ( x ) K θ x p 64 ( 256 2 p ) for all x X .
From the definition of F 8 , we are forced to conclude that F 8 ( 2 x ) = 256 F 8 ( x ) for all x X and D F 8 ( x , y ) = 0 for all x , y X .
Let p > 8 . Observe that, by Lemma 4 and (4.4), we obtain that
256 n f ˜ 8 ( 2 n x ) 256 n + m f ˜ 8 ( 2 n m x ) i = n n + m 1 256 i K θ x p 64 · 2 ( i + 1 ) p
for all x X and n , m N { 0 } . It follows from the assumption p > 8 and (4.21) that { 256 n f ˜ 8 ( 2 n x ) } is a Cauchy sequence for all x X . The completeness of Y implies that the sequence { 256 n f ˜ 8 ( 2 n x ) } converges, so that, we can define a mapping F 8 : X Y by
F 8 ( x ) : = lim n 256 n f ˜ 8 ( 2 n x ) for all x X .
Put n = 0 and then take m in (4.21) to get
f ˜ 8 ( x ) F 8 ( x ) K θ x p 64 ( 2 p 256 ) for all x X .
According to the definition of F 8 , we find that F 8 ( 2 x ) = 256 F 8 ( x ) for all x X and D F 8 ( x , y ) = 0 for all x , y X .
Setting F 9 : Let p < 9 . It follows from Lemma 4 and (4.3) that
f ˜ 9 ( 2 n x ) 512 n f ˜ 9 ( 2 n + m x ) 512 n + m = Γ f ˜ ( 2 i x ) 722925 · 33554432 · 512 i i = n n + m 1 K 2 i p θ x p 2097152 · 512 i
for all x X and n , m N { 0 } . We then have by the assumption p < 9 and (4.22) that { f ˜ 9 ( 2 n x ) 512 n } is a Cauchy sequence for all x X . Since Y is complete, the sequence { f ˜ 9 ( 2 n x ) 512 n } converges. Then, one can define a mapping F 9 : X Y by
F 9 ( x ) : = lim n f ˜ 9 ( 2 n x ) 512 n for all x X .
On the other hand, letting n = 0 and passing the limit m in (4.22), we deduce that
f ˜ 9 ( x ) F 9 ( x ) K θ x p 4096 ( 512 2 p ) for all x X .
We have from the definition of F 9 that F 9 ( 2 x ) = 512 F 9 ( x ) for all x X and D F 9 ( x , y ) = 0 for all x , y X .
Let p > 9 . Using Lemma 4 and (4.3), we have
512 n f ˜ 9 ( 2 n x ) 512 n + m f ˜ 9 ( 2 n m x ) 512 i K θ x p 4096 · 2 ( i + 1 ) p
for all x X and n , m N { 0 } . From p > 9 and (4.23), it follows that the sequence { 512 n f ˜ 9 ( 2 n x ) } is Cauchy for all x X . By the completeness of Y , the sequence { 512 n f ˜ 9 ( 2 n x ) } converges. Thereby, we can define a mapping F 9 : X Y by
F 9 ( x ) : = lim n 512 n f ˜ 9 ( 2 n x ) for all x X .
In particular, put n = 0 and then let m in (4.23) to have
f ˜ 9 ( x ) F 9 ( x ) K θ x p 4096 ( 2 p 512 ) for all x X .
With the aid of the definition of F 9 , one obtains that F 9 ( 2 x ) = 512 F 9 ( x ) for all x X and D F 9 ( x , y ) = 0 for all x , y X .
Finally, we set a mapping F as
F ( x ) : = k = 1 9 F k ( x ) f o r a l l x X .
Since D F k ( x , y ) = 0 for all k { 1 , 2 , , 9 } , we have
D F ( x , y ) = k = 1 9 D F k ( x , y ) = 0 f o r a l l x , y X .
Next, we are in the position to prove that the mapping F satisfies the inequality (4.2). Since f ˜ ( x ) = k = 1 9 f ˜ k ( x ) , we have
f ˜ ( x ) F ( x ) k = 1 9 f ˜ k ( x ) F k ( x ) for all x X .
and so we obtain the desired result (4.2).
It remains to prove that F is unique : Suppose that F : V Y be another mapping with F ( 0 ) = 0 satisfying the relation D F ( x , y ) = 0 and the inequality (4.2). We have by Lemma 5 that for each k { 1 , 2 , , 9 } , the mappings F k : X Y satisfy
F ( x ) = k = 1 9 F k ( x ) , F k ( 2 x ) = 2 k F k ( x ) ( x X ) .
To verify the uniqueness of F , we want to prove it only if 2 < p < 3 . This is because other cases of p can be showed in a similar fashion. Therefore, let us assume that 2 < p < 3 . Then, we see that for 2 < p < 3 ,
4 n f ˜ 2 x 2 n F 2 ( x ) = 4 n f ˜ 2 x 2 n 4 n F 2 x 2 n = 4 n 181440 262144 f ˜ e x 2 n 21504 f ˜ e 2 x 2 n + 336 f ˜ e 4 x 2 n f ˜ e 8 x 2 n 262144 F e x 2 n + 21504 F e 2 x 2 n 336 F e 4 x 2 n + F e 8 x 2 n 262144 · 4 n 181440 f ˜ e x 2 n F e x 2 n + 21504 · 4 n 181440 f ˜ e 2 x 2 n F e 2 x 2 n + 336 · 4 n 181440 f ˜ e 4 x 2 n F e 4 x 2 n + 4 n 181440 f ˜ e 8 x 2 n F e 8 x 2 n 262144 + 21504 · 2 p + 336 · 4 p + 8 p 181440 · 4 n 2 n p M θ x p ,
and
f ˜ 3 ( 2 n x ) 8 n F 3 ( x ) = f ˜ 3 ( 2 n x ) 8 n F 3 ( 2 n x ) 8 n = 5440 722925 · 65536 4194304 ( ( F o f ˜ o ) ( 2 n x ) ) 2269184 ( ( F o f ˜ o ) ( 2 n + 1 x ) ) 8 n + 87360 ( ( F o f ˜ o ) ( 2 n + 2 x ) ) 674 ( ( F o f ˜ o ) ( 2 n + 3 x ) ) + ( ( F o f ˜ o ) ( 2 n + 4 x ) ) 8 n 4194304 + 2269184 · 2 p + 87360 · 2 2 p + 674 · 2 3 p + 2 4 p 722925 · 65536 · 5440 · 2 n p M θ x p 8 n
for all x X and all positive integer n , where
M : = 4096 | 2 2 p | + 5440 | 8 2 p | + 1428 | 32 2 p | + 85 | 128 2 p | + 1 | 512 2 p | · K 4096 + 64 | 4 2 p | + 84 | 16 2 p | + 21 | 64 2 p | + 1 | 256 2 p | · K 64 .
Taking the limit in the above relations as n , we obtain the equality
F 2 ( x ) = lim n 4 ˜ n f ˜ 2 x 2 n , F 3 ( x ) = lim n f ˜ 3 ( 2 n x ) 8 n ( x X ) ,
which means that F 2 ( x ) = F 2 ( x ) and F 3 ( x ) = F 3 ( x ) for all x X . Employing the similar way, it is easily shown that for each k { 1 , 4 , 5 , 6 , 7 , 8 , 9 } , the equalities F k = F k hold. Note that
F ( x ) = k = 1 9 F k ( x ) = k = 1 9 F k ( x ) = F ( x ) .
This completes the proof of the uniqueness of F for 2 < p < 3 .
For other p cases, the uniqueness proof of F can be proved very same to the proof for 2 < p < 3 .

Author Contributions

Ick-Soon Chang, Yang-Hi Lee and Jaiok Roh contributed in the writing, review and editing of this paper.

Data Availability Statement

No data was gathered for this article.

Acknowledgments

This work was supported by the Hallym University Research Fund (HRF-202205-007)

Conflicts of Interest

The authors declare that they have no competing interests.

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