📝 SummarXiv

Abstract

In this paper, we investigate the convergence properties of Fourier partial sums associated with general orthonormal systems, focusing on functions that belong to specific differentiable function classes. While classical Fourier analysis has extensively studied trigonometric systems, our approach considers a broader class of orthonormal systems, including those adapted to weighted function spaces or arising from orthogonal polynomials. The primary objective is to analyze how the smoothness and differentiability of the function \( f \) affect the rate and nature of convergence of its Fourier partial sums. We derive estimates for the approximation error in various norms and establish sufficient conditions under which uniform or pointwise convergence occurs. In particular, we highlight how differentiability constraints on \( f \) can lead to sharper convergence results than those available for general \( L^2 \)-functions. Furthermore, we explore the impact of specific system properties, such as localization and boundedness, on the summation behavior. Several illustrative examples are provided, demonstrating the theoretical findings for commonly used orthonormal systems. Our results contribute to the deeper understanding of spectral approximations and have potential applications in numerical analysis, signal processing, and the theory of function spaces.