Abstract

Let X and Y be vector spaces. We show that a function f : X → Y with f(0) = 0 satisfies Δf(x1, …, xn) = 0 for all x1, …, xn ∈ X, if and only if there exist functions C : X × X × X → Y, B : X × X → Y and A : X → Y such that f(x) = C(x, x, x) + B(x, x) + A(x) for all x ∈ X, where the function C is symmetric for each fixed one variable and is additive for fixed two variables, B is symmetric bi‐additive, A is additive and Δf(x1, …, xn) = +2n−1(n − 2)f(x1) (n ∈ ℕ, n ≥ 3) for all x1, …, xn ∈ X. Furthermore, we solve the stability problem for a given function f satisfying Δf(x1, …, xn) = 0, in the Menger probabilistic normed spaces.

Highlights

  • Introduction and PreliminariesMenger 1 introduced the notion of a probabilistic metric space in 1942 and since the theory of probabilistic metric spaces has developed in many directions 2

  • The stability results for the cubic functional equation were proved by Jun and Kim 29

  • We introduce the new mixed type of cubic, quadratic, and additive functional equation in n-variables as follows:

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Summary

Research Article

We show that a function f : X → Y with f 0 0 satisfies. Xn ∈ X, if and only if there exist functions C : X × X ×. A x for all x ∈ X, where the function C is symmetric for each fixed one variable and is additive for fixed two variables, B is symmetric bi-additive, A is additive and Δf x1, . We solve the stability problem for a given function f satisfying Δf x1, . Xn 0, in the Menger probabilistic normed spaces We solve the stability problem for a given function f satisfying Δf x1, . . . , xn 0, in the Menger probabilistic normed spaces

Introduction and Preliminaries
Abstract and Applied Analysis
Results in Menger Probabilistic Normed Spaces
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