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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Published in | Calcolo Vol. 58; no. 1 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Cham
Springer International Publishing
01.03.2021
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
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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
]
. |
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ISSN: | 0008-0624 1126-5434 |
DOI: | 10.1007/s10092-021-00396-8 |