The max-product generalized sampling operators: convergence and quantitative estimates

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摘要

In this paper we study the max-product version of the generalized sampling operators based upon a general kernel function. In particular, we prove pointwise and uniform convergence for the above operators, together with a certain quantitative Jackson-type estimate based on the first order modulus of continuity of the function being approximated. The proof of the proposed results are based on the definition of the so-called generalized absolute moments. By the proposed approach, the achieved approximation results can be applied for several type of kernels, not necessarily duration-limited, such as the sinc-function, the Fejér kernel and many others. Examples of kernels with compact support for which the above theory holds can be given, for example, by the well-known central B-splines.

论文关键词:Quantitative Jackson-type estimate,Max-product generalized sampling operators,Modulus of continuity,Convergence,Kernel

论文评审过程:Received 15 October 2018, Revised 20 February 2019, Accepted 25 February 2019, Available online 14 March 2019, Version of Record 14 March 2019.

论文官网地址:https://doi.org/10.1016/j.amc.2019.02.076