Bernoulli--Strang--Fix Conditions: Approximation and Prediction by Sampling Kantorovich Operators

Sreya T; A. Antony Selvan

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arXiv · 2608.04727

Bernoulli--Strang--Fix Conditions: Approximation and Prediction by Sampling Kantorovich Operators

Sreya T·A. Antony Selvan

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Abstract

In this paper, we introduce the Bernoulli--Strang--Fix conditions and their generalized versions for a vector-valued generator $\varphi=(\varphi_0,\dots,\varphi_{\rho-1})$ and a periodic nonuniform sampling set $X$. We use these conditions to establish exact and asymptotic polynomial reproduction properties of sampling Kantorovich operators associated with $(\varphi,X)$ up to a prescribed degree. We analyze the approximation properties and convergence behavior of these operators in detail. Furthermore, we demonstrate their application to signal prediction from a finite number of past local average samples, showing that sampling Kantorovich operators can also serve as effective prediction operators. Finally, we present numerical examples based on Gaussian functions and B-splines to illustrate and validate the theoretical approximation and prediction results.

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Sreya T, A. Antony Selvan. 2026-08-05. Bernoulli--Strang--Fix Conditions: Approximation and Prediction by Sampling Kantorovich Operators. https://arxiv.org/abs/2608.04727

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