Approximation by shape preserving fractal functions with variable scalings

The fractal interpolation functions with appropriate iterated function systems provide a method to perturb and approximate a continuous function on a compact interval I . This method produces a class of functions f α ∈ C ( I ) , where α is a vector with functional components. The presence of scaling...

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Bibliographic Details
Published inCalcolo Vol. 58; no. 1
Main Authors Jha, Sangita, Chand, A. K. B., Navascués, M. A.
Format Journal Article
LanguageEnglish
Published Cham Springer International Publishing 01.03.2021
Springer Nature B.V
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Summary:The fractal interpolation functions with appropriate iterated function systems provide a method to perturb and approximate a continuous function on a compact interval I . This method produces a class of functions f α ∈ C ( I ) , where α is a vector with functional components. The presence of scaling function in these fractal functions helps to get a wide variety of mappings for approximation problems. The current article explores the shape-preserving properties of the α -fractal functions with variable scalings, where the optimal ranges of the scaling functions are derived for fundamental shapes of the germ f . We provide several examples to illustrate the shape preserving results and apply our fractal methodologies in approximation problems. Also, it is shown that the order of convergence of the α -fractal polynomial to the original shaped function matches with that of polynomial approximation. Further, based on the shape preserving properties of the α -fractal functions, we provide the fractal analogue of the Chebyshev alternation theorem. To the end, we deduce the fractal version of the classical full Müntz theorem in C [ 0 , 1 ] .
ISSN:0008-0624
1126-5434
DOI:10.1007/s10092-021-00396-8