Abstract
Let M be a commutative monoid, and let B be a Banach space. We give a new recursive method to obtain a Gǎvruţa-type stability result for the functional equation
via algebraic manipulations of the forward difference operator.
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1 Motivation
One of the best-known classes of functional equations, the Fréchet functional equations, consists of functional equations equivalent to the equation
studied by Fréchet [1] in 1909. In this paper, we focus on the equation
for which the stability result relies on its equivalence with the equation
The stability problem of functional equations originated from a problem posed by S. Ulam regarding “almost additive” functions that satisfy
for a fixed ϵ. This inequality was studied (under stricter assumptions than those for the posed problem) by Hyers [2] in 1941. The result was that such a function can be approximated by an additive function. Hence the problems in this sense, where the assigned bound is a constant, became known as Hyers–Ulam-type stability. Years later, Aoki [3] and Rassias [4] presented stability results where the bound is a power function of x and y. Thus the stability in this sense became known as the Aoki–Rassias-type stability. Later Gǎvruţa [5] generalized this so that the bound (which can also be called the control function) is a function with specific properties.
The solutions of (1), (2), and (3) are called generalized polynomials of degree at most n. It is well known that a generalized polynomial p is constructed from diagonalization of multiadditive functions [6]. The Hyers–Ulam stability of (2) and (3) has been studied in [6–9]. The Gǎvruţa-type stability of (1) has been studied by Dăianu [10]. Dăianu used an equivalence theorem, which is more general than that presented by Kuczma [11], to obtain a stability result for (2) under the assumption that M is \((n+1)!\)-divisible. In this paper, we present a result in which divisibility of M is not required. Instead, we require \((n+1)!\)-divisibility of B, which is readily true since B is a Banach space.
2 The forward difference operator
Let M be a commutative monoid, let be B be a Banach space, and let \(\mathbb{N}\) be the set of positive integers. For a function \(f:M\to B\) and \(y\in M\), define \(\Delta _{y}f:M\to B\) by
for \(x\in M\). Also, define its iterations
for \(y,y_{1},y_{2},\dots ,y_{n}\in M\). Observe that \(\Delta _{y_{1}}\Delta _{y_{2}}f=\Delta _{y_{2}}\Delta _{y_{1}}f\), so the ordering of \(y_{i}\) is interchangable, and
and
We will establish some algebraic manipulation of the forward difference operator Δ. We begin with a modified version of Kuczma’s theorem.
Lemma 2.1
Let\(n\in \mathbb{N} \)and\(f:M\to B\). Then
for all\(x,y_{1},y_{2},\dots ,y_{n}\in X\), where
Proof
Recall that
We will show that each of these terms cancels out in the sum on the right-hand side of (4), except for \(k=0\). For \(k\neq 0\), we observe that \(\epsilon _{k}\) is absent in the term where \(i=k\). So changing \(\epsilon _{k}\) does not change the argument of this term.
Consider another term in the sum on the right-hand side of (4), where only \(\epsilon _{k}\) differs from this term. Then the kth term in its expansion cancels the term we mentioned before.
Hence every term where \(k\neq 0\) has its negative in the sum in (4). Then
□
Lemma 2.2
Let\(n,m\in \mathbb{N} \)and\(f:M\to B\). Then
for all\(x,y\in X\).
Proof
Since \(\Delta ^{n+1}_{y}f(x)=\Delta ^{n}_{y}f(x+y)-\Delta ^{n}_{y}f(x)\) for all \(x,y\in M\),
□
In the following theorems, for convenience, we let \(\sum_{i=0}^{-1}a_{i}=0\) for any sequence \((a_{i})\).
Lemma 2.3
Let\(n\in \mathbb{N} \)and\(f:M\to B\). Then
for all\(x,y\in X\).
Proof
By Lemma 2.2 it is sufficient to show that
For the case \(n=1\), we have
Suppose that (6) is true for \(n=k\). Since the order of \(\Delta _{iy}\) is interchangable,
□
The following theorem follows from Lemmas 2.3 and 2.1.
Theorem 2.4
Let\(n\in \mathbb{N} \)and\(f:M\to B\). Then there exist\(m\in \mathbb{N} \)and nonnegative integers\(a_{i}\), \(b_{i}\), \(c_{i}\), \(d_{i}\), \(e_{i}\)for\(i\in \{ 1,2,\dots ,m\} \)such that
for\(x,y_{1},y_{2}\in M\). To be precise,
where
3 The stability of \(\Delta ^{n+1}_{y}f(x)=0\)
We recall a theorem from the author’s dissertation [12].
Theorem 3.1
Let\(n\in \mathbb{N} \)and\(f:M\to B\). Then
for\(x,y\in M\).
Next, we introduce the class of preferred control functions. Consider the following properties of a function \(\varphi :M\to [0,\infty )\).
- P1
\(\varphi (x+y)\leq \varphi (x)+\varphi (y)\) for all \(x,y\in M\).
- P2
For each \(x\in M\), either there exists \(N\in \mathbb{N} \) such that \(\varphi (2^{k}x)=0\) for every \(k>N\), or \(\lim_{k\to \infty } \frac{\varphi (2^{k+1}x)}{\varphi (2^{k}x)} <2\).
We take the notation of limit in P2 more loosely than normal. We allow it to not actually converge, as long as every of its limit points are in \([0,2)\).
Also note that P2 implies that \(\sum^{\infty }_{k=0}\frac{\varphi (2^{k}x)}{2^{k}} \) converges. The next proposition states that the set of these functions forms a convex cone under pointwise addition and scalar multiplication.
Proposition 3.2
Let\(\varphi _{1},\varphi _{2}:M\to [0,\infty )\)satisfy P1 and P2. Then, for all\(c_{1},c_{2}\in [0,\infty )\), \(c_{1}\varphi _{1}+c_{2}\varphi _{2}\)also satisfies P1 and P2.
Proof
The case \(c_{1}c_{2}=0\) is straightforward, so we omit it. Firstly, it is clear that \(c_{1}\varphi _{1}+c_{2}\varphi _{2}\) satisfies P1. Let \(x\in M\). We will consider the cases depending on whether \(N_{1}\) and \(N_{2}\) exist such that \(\varphi _{1}(2^{k}x)=0\) for \(k>N_{1}\) and \(\varphi _{2}(2^{l}x)=0\) for \(l>N_{2}\).
If both such \(N_{1}\) and \(N_{2}\) exist, then \(c_{1}\varphi _{1}(2^{k}x)+c_{2}\varphi _{2}(2^{k}x)=0\) whenever \(k>\max \{ N_{1},N_{2}\} \).
If only one exists, then without loss of generality we assume that \(N_{1}\) exists but \(N_{2}\) does not. Then
$$ \lim_{k\to \infty } \frac{c_{1}\varphi _{1}(2^{k+1}x)+c_{2}\varphi _{2}(2^{k+1}x)}{c_{1}\varphi _{1}(2^{k}x)+c_{2}\varphi _{2}(2^{k}x)} =\lim_{k\to \infty } \frac{c_{2}\varphi _{2}(2^{k+1}x)}{c_{2}\varphi _{2}(2^{k}x)} < 2. $$If there are no such \(N_{1}\) and \(N_{2}\), then there exist \(N'_{1},N'_{2}\in \mathbb{N} \) and \(r\in (0,2)\) such that \(\varphi _{1}(2^{k+1}x)< r\varphi _{1}(2^{k}x)\) for \(k>N'_{1}\) and \(\varphi _{2}(2^{l+1}x)< r\varphi _{2}(2^{l}x)\) for \(l>N'_{2}\). Thus
$$ c_{1}\varphi _{1}\bigl(2^{k+1}x \bigr)+c_{2}\varphi _{2}\bigl(2^{k+1}x \bigr)< rc_{1} \varphi _{1}\bigl(2^{k}x \bigr)+rc_{2}\varphi _{2}\bigl(2^{k}x\bigr) $$for \(k>\max \{ N'_{1},N'_{2}\} \). This implies that \(\lim_{k\to \infty } \frac{c_{1}\varphi _{1}(2^{k+1}x)+c_{2}\varphi _{2}(2^{k+1}x)}{c_{1}\varphi _{1}(2^{k}x)+c_{2}\varphi _{2}(2^{k}x)} \leq r<2\),
and we conclude that \(c_{1}\varphi _{1}+c_{2}\varphi _{2}\) satisfies P2. □
Let \(C=\{ \varphi :M\to [0,\infty ) | \varphi \text{ satisfy P1 and P2} \} \). For all \(\varphi :M\to [0,\infty )\) and \(n\in \mathbb{N} \), we define \(\lambda _{n}\varphi :M\to [0,\infty )\) by
The next theorem shows that \(\lambda _{n}(C)\subseteq C\).
Theorem 3.3
Let\(\varphi \in C\)and\(n\in \mathbb{N} \). Then\(\lambda _{n}\varphi \in C\).
Proof
It is clear that \(\lambda _{n}\varphi \) satisfies P1. We will consider P2 for \(\lambda _{n}\varphi \). Let \(x\in M\).
If there exists \(N\in \mathbb{N} \) such that \(\varphi (2^{k}x)=0\) for all \(k>N\), then it is straightforward to show that \(\lambda _{n}\varphi (2^{k}x)=0\) for every \(k>N\).
If no such N exists, then \(\varphi (2^{k}x)>0\) for all \(k\in \mathbb{N} \). This implies that \(\lambda _{n}\varphi (2^{k}x)>0\) for all \(k\in \mathbb{N} \). Since φ satisfies P2, there exist \(N\in \mathbb{N} \) and \(r\in (0,2)\) such that \(\varphi (2^{k+1}x)< r\varphi (2^{k}x)\) whenever \(k>N\). So,
Also note that \(\lambda _{n}\varphi (2^{k}x)=\varphi (2^{k}x)+\frac{1}{2^{n}} \lambda _{n}\varphi (2^{k+1}x)\). Thus
Hence we have \(\frac{\lambda _{n}\varphi (2^{k+1}x)}{\lambda _{n}\varphi (2^{k}x)} \leq r<2\) whenever \(k>N\). This completes the proof. □
Now we establish our main theorems.
Theorem 3.4
Let\(n\in \mathbb{N} \), \(f:M\to B\), \(\theta \in [0,\infty )\), and\(\varphi _{1},\varphi _{2}\in C\). If
for all\(x,y\in M\), then there exists\(\varphi _{3}\in C\)such that
for all\(x,y_{1},y_{2}\in M\), where\(\varphi _{3}\)is defined by
Proof
According to Theorem 2.4, there exist \(m\in \mathbb{N} \) and nonnegative integers \(a_{i}\), \(b_{i}\), \(c_{i}\), \(d_{i}\), \(e_{i}\) for \(i\in \{ 1,2,\dots ,m\} \) such that
Denote the right-hand side of (7) by \(\alpha _{0}(x,y_{1},y_{2})\). Since \(\varphi _{1},\varphi _{2}\in C\),
For each nonnegative integer k, let
We can see that if \(\| \Delta _{y_{1}}\Delta ^{n}_{y_{2}}f(x)\| \leq \alpha _{k}(x,y_{1},y_{2})\), then by Theorem 3.1
Hence \(\| \Delta _{y_{1}}\Delta ^{n}_{y_{2}}f(x)\| \leq \alpha _{k}(x,y_{1},y_{2})\) for any nonnegative integer k. Observe that, for \(m\geq 1\),
It follows that
Hence
□
Let \(\varLambda _{n,k}\varphi = ( \prod^{n}_{k+1} \frac{2^{k}}{2^{k}-1} ) \lambda _{1}\lambda _{2}\cdots \lambda _{k} \varphi \) for \(k< n\) and \(\varLambda _{n,n}=\lambda _{1}\lambda _{2}\cdots \lambda _{n}\varphi \). Using Theorem 3.4 inductively, we get the following theorem.
Theorem 3.5
Let\(n\in \mathbb{N} \), \(\theta \in [0,\infty )\), \(\varphi _{1},\varphi _{2}\in C\), and\(f:M\to B\). If\(|\Delta ^{n+1}_{y}f(x)|\leq \theta +\varphi _{1}(x)+\varphi _{2}(y)\)for all\(x,y\in M\), then there exists\(\varphi _{3}\in C\)such that
for all\(x,y_{1},y_{2}\in M\), where\(\varphi _{3}\)is defined by
Proof
Let \(y_{1}\in M\). By Theorem 3.4 there exists \(\varphi '_{2}\in C\) such that
Let \(f_{y_{1}}=\Delta _{y_{1}}f\), \(\theta _{y_{1}}=\frac{n2^{n}}{2^{n}-1} (\theta + \frac{\varphi _{1}(y_{1})}{2} )\), \(\psi _{1}=\frac{n2^{n}}{2^{n}-1} \varphi _{1}\), and \(\psi _{2}=\frac{n(n-1)}{4} \lambda _{n}\varphi _{1}+n\lambda _{n} \varphi _{2}\). Since the order of \(\Delta _{y_{i}}\) can be interchanged without affecting the value on the left-hand side, we have
Since \(y_{1}\) is currently fixed and \(\psi _{1},\psi _{2}\in C\), the theorem is true by induction on n. □
Now we apply this to the result of Theorem 4.4 in [10]. For all \(\varphi :M^{n+1}\to [0,\infty )\) and \(n\in \mathbb{N} \), define \(r_{n}\varphi ,R_{n}\varphi :M^{n}\to \mathbb{R}^{*}\) by
Also, let
We restate the theorem as follows.
Theorem 3.6
Let\(n\in \mathbb{N} \), and let\(\varphi _{1},\varphi _{2},\dots ,\varphi _{n+1}:M^{i}\to [0,\infty )\)for\(i\in \{ 1,2,\dots ,n+1\} \)be such that\((\varphi _{i+1},\varphi _{i})\in D^{+}_{i}\)for\(1\leq i\leq n\). If\(f:M\to B\)satisfies
for all\(y_{1},y_{2},\dots ,y_{n+1}\in M\), then there exists a generalized polynomial\(p:M\to B\)of degree at mostnsuch that
for all\(x\in M\)and\(p(0)=f(0)\).
If we let
with \(\varphi _{1},\varphi _{2},\dots ,\varphi _{n+1}\in C\), then
So
Let \(\varPsi (y_{1},y_{2},\dots ,y_{n})\) be the right-hand side of (8). Then \((\varphi ,\varPsi )\in D^{+}_{n}\) and Ψ can be used to produce the next pair, resulting in a stability chain. We have the following result.
Theorem 3.7
Let\(n\in \mathbb{N} \), \(\theta \in [0,\infty )\), \(\varphi _{1},\varphi _{2}\in C\), and\(f:M\to B\). If
for all\(x,y\in M\), then there exist a generalized polynomial\(p:M\to B\)of degree at mostnand\(\varphi _{3}\in C\)such that
for all\(x\in M\).
A direct corollary of this theorem is the Aoki–Rassias stability:
for \(0< p<1\) when M is either \(\mathbb{N} \cup \{ 0\} \) or the set of all integers. In this case, \(\varphi _{1}(x)=|x|^{p}\) and
Theorem 3.8
Let\(n\in \mathbb{N} \), \(\theta ,c_{1},c_{2}\in [0,\infty )\), \(p\in (0,1)\), and\(f:\mathbb{N} \cup \{ 0\} \to B\). If
for all\(x,y\in \mathbb{N} \cup \{ 0\} \), then there exist\(M_{n}\in [0,\infty )\)and a polynomial\(p:\mathbb{N} \cup \{ 0\} \to B\)of degree at mostnsuch that
for all\(x\in \mathbb{N} \cup \{ 0\} \).
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Acknowledgements
The author would like to show his gratitude to the reviewers for their beneficial remarks. They were also generous enough to understand many mistypes the author made, including \([0,1]\), where it should be \([0,\infty )\) at many places.
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Sukhonwimolmal, T. Certain properties of difference operator and stability of Fréchet functional equation. Adv Differ Equ 2020, 108 (2020). https://doi.org/10.1186/s13662-020-02561-9
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DOI: https://doi.org/10.1186/s13662-020-02561-9