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Research Article | Open Access

Note on fractal interpolation function with variable parameters

Najmeddine Attia1( )Taoufik Moulahi2Rim Amami3Neji Saidi1
Department of Mathematics and Statistics, College of Science, King Faisal University, P.O. Box 400, Al-Ahsa 31982, Saudi Arabia
Department of Mathematics, College of Science and Humanities in Al-Kharj, Prince Sattam Bin Abdulaziz University, Box 173 Al-Kharj 11942, Saudi Arabia
Department of Basic Sciences, Deanship of Preparatory Year and Supporting Studies, Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam 34212, Saudi Arabia
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Abstract

Fractal interpolation function (FIF) is a new method of constructing new data points within the range of a discrete set of known data points. Consider the iterated functional system defined through the functions W n ( x , y ) = ( a n x + e n , α n ( x ) y + ψ n ( x ) ) , n = 1 , , N. Then, we may define the generalized affine FIF f interpolating a given data set { ( x n , y n ) I × R , n = 0 , 1 , , N } , where I = [ x 0 , x N ]. In this paper, we discuss the smoothness of the FIF f. We prove, in particular, that f is θ-hölder function whenever ψ n are. Furthermore, we give the appropriate upper bound of the maximum range of FIF in this case.

CLC number: 28A80, 47H10, 65D05

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AIMS Mathematics
Pages 2584-2601

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Cite this article:
Attia N, Moulahi T, Amami R, et al. Note on fractal interpolation function with variable parameters. AIMS Mathematics, 2024, 9(2): 2584-2601. https://doi.org/10.3934/math.2024127

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Received: 31 October 2023
Revised: 04 December 2023
Accepted: 20 December 2023
Published: 15 February 2024
©2024 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)