
Let \(v_1, v_2, \dots, v_n\) \((n\geq 2)\) be the vertices of some fixed regular simplex in \(\mathbb{R}^n\) with centre 0 and radius 1. Then the vertices of any regular simplex in \(\mathbb{R}^n\) with centre \(x\) and radius \(r>0\) are \(x+ rU v_0, x+rU v_1, \dots, x+rU v_n\) where \(U\) denotes an appropriately chosen orthogonal \(n\times n\) matrix. The author characterizes those continuous functions \(f: \mathbb{R}^n\to \mathbb{C}\) with the property that, for a fixed \(r>0\), \(\sum^n_{k=0} f(x+ rUv_k)= (n+1) f(x)\) for all \(x\in \mathbb{R}^n\) and all real orthogonal \(n\times n\) matrices \(U\). Indeed \(f\) is precisely a harmonic polynomial of degree at most 2. Another interesting result proved is the following: Suppose \(0\neq \alpha_2\in \mathbb{C}\), \(0\leq \nu\leq N\) (\(N\) is an integer \(\geq 1\)), \(\sum^N_{\nu=0} \alpha_\nu =0\) and \(r_1, r_2, \dots, r_N\) are distinct real numbers. (i) There exists a non-negative integer \(m
spectral synthesis, regular simplex, mean value theorems, Applied Mathematics, harmonic polynomial, Functional equations for complex functions, equations for complex functions, Analysis
spectral synthesis, regular simplex, mean value theorems, Applied Mathematics, harmonic polynomial, Functional equations for complex functions, equations for complex functions, Analysis
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