scholarly journals Construction and box dimension of recurrent fractal interpolation surfaces

2021 ◽  
Author(s):  
Zhen Liang ◽  
Huo-Jun Ruan
Author(s):  
HUO-JUN RUAN ◽  
JIAN-CI XIAO ◽  
BING YANG

Abstract The notion of recurrent fractal interpolation functions (RFIFs) was introduced by Barnsley et al. [‘Recurrent iterated function systems’, Constr. Approx.5 (1989), 362–378]. Roughly speaking, the graph of an RFIF is the invariant set of a recurrent iterated function system on $\mathbb {R}^2$ . We generalise the definition of RFIFs so that iterated functions in the recurrent system need not be contractive with respect to the first variable. We obtain the box dimensions of all self-affine RFIFs in this general setting.


2015 ◽  
Vol 192 ◽  
pp. 362-378 ◽  
Author(s):  
Michael F. Barnsley ◽  
Peter R. Massopust

Fractals ◽  
2019 ◽  
Vol 27 (04) ◽  
pp. 1950058 ◽  
Author(s):  
WEN LIANG PENG ◽  
KUI YAO ◽  
XIA ZHANG ◽  
JIA YAO

This paper mainly explores Weyl–Marchaud fractional derivative of linear fractal interpolation functions (FIFs). We prove that Weyl–Marchaud fractional derivative of a linear FIF is still a linear FIFs. More generally, we get a conclusion that there exists some linear relationship between the order of Weyl–Marchaud fractional derivative and box dimension of linear FIFs.


Fractals ◽  
2016 ◽  
Vol 24 (02) ◽  
pp. 1650026 ◽  
Author(s):  
YONG-SHUN LIANG ◽  
QI ZHANG

Combine Chebyshev systems with fractal interpolation, certain continuous functions have been approximated by fractal interpolation functions unanimously. Local structure of these fractal interpolation functions (FIF) has been discussed. The relationship between order of Riemann–Liouville fractional calculus and Box dimension of FIF has been investigated.


Fractals ◽  
2019 ◽  
Vol 27 (03) ◽  
pp. 1950023 ◽  
Author(s):  
SONG-IL RI

In this paper, we present a delightful method to estimate the lower and upper box dimensions of a special nonlinear fractal interpolation curve. We use Rakotch contractibility and monotone property of function in the estimation of upper box dimension, and we use Rakotch contractibility, noncollinearity of interpolation points, nondecreasing property of function, convex (or concave) property of function and differential mean value theorem in the estimation of lower box dimension. In particular, we propose a well-founded conjecture motivated by our results.


Fractals ◽  
2019 ◽  
Vol 27 (05) ◽  
pp. 1950085 ◽  
Author(s):  
ZHEN LIANG ◽  
HUO-JUN RUAN

We present a general framework to construct recurrent fractal interpolation surfaces (RFISs) on triangular domains. Then we introduce affine RFISs, which are easy to be generated while there are no restrictions on interpolation points and vertical scaling factors. We also obtain the box dimension of affine RFISs under certain constraints.


2018 ◽  
Vol 98 (1) ◽  
pp. 113-121 ◽  
Author(s):  
QING-GE KONG ◽  
HUO-JUN RUAN ◽  
SHENG ZHANG

Bilinear fractal interpolation surfaces were introduced by Ruan and Xu in 2015. In this paper, we present the formula for their box dimension under certain constraint conditions.


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