Graph-Directed Coalescence Hidden Variable Fractal Interpolation Functions
- 1 Department of Mathematics, Indian Institute of Technology Guwahati, Guwahati, India
- 2 Department of Mathematics, Indian Institute of Technology Guwahati, Guwahati, India
Abstract
Fractal interpolation function (FIF) is a special type of continuous function which interpolates certain data set and the attractor of the Iterated Function System (IFS) corresponding to a data set is the graph of the FIF. Coalescence Hidden-variable Fractal Interpolation Function (CHFIF) is both self-affine and non self-affine in nature depending on the free variables and constrained free variables for a generalized IFS. In this article, graph directed iterated function system for a finite number of generalized data sets is considered and it is shown that the projection of the attractors on is the graph of the CHFIFs interpolating the corresponding data sets.
- Barnsley, M.F. (1986) Fractal Functions and Interpolation. Constructive Approximation, 2, 303-329. http://dx.doi.org/10.1007/BF01893434
- Barnsley, M.F. (1988) Fractals Everywhere. Academic Press, San Diego.
- Barnsley, M.F., Elton, J., Hardin, D. and Massopust, P. (1989) Hidden Variable Fractal Interpolation Functions. SIAM Journal on Mathematical Analysis, 20, 1218-1242. http://dx.doi.org/10.1137/0520080
- Chand, A.K.B. and Kapoor, G.P. (2007) Smoothness Analysis of Coalescence Hidden Variable Fractal Interpolation Functions. International Journal of Nonlinear Sciences, 3, 15-26.
- Kapoor, G.P. and Prasad, S.A. (2009) Smoothness of Coalescence Hidden-Variable Fractal Interpolation Surfaces. International Journal of Bifurcation and Chaos in Applied Sciences and Engineering, 19, 2321-2333. http://dx.doi.org/10.1142/S0218127409024098
- Kapoor, G.P. and Prasad, S.A. (2010) Stability of Coalescence Hidden Variable Fractal Interpolation Surfaces. International Journal of Nonlinear Sciences, 9, 265-275.
- Barnsley, M.F. (1989) The Calculus of Fractal Interpolation Functions. Journal of Approximation Theory, 57, 14-34. http://dx.doi.org/10.1016/0021-9045(89)90080-4
- Navascués, M.A. (2005) Fractal Polynomial Interpolation. Zeitschrift für Analysis und ihre Anwendungen, 25, 401-418. http://dx.doi.org/10.4171/ZAA/1248
- Navascués, M.A. (2005) Fractal Trigonometric Approximation. Electronic Transactions on Numerical Analysis, 20, 64-74.
- Navascués, M.A. (2010) Reconstruction of Sampled Signals with Fractal Functions. Acta Applicandae Mathematicae, 110, 1199-1210. http://dx.doi.org/10.1007/s10440-009-9501-x
- Navascués, M.A. (2011) Fractal Haar System. Nonlinear Analysis, 74, 4152-4165. http://dx.doi.org/10.1016/j.na.2011.03.048
- Navascués, M.A., Chand, A.K.B., Veddu, V.P. and Sebastián, M.V. (2014) Fractal Interpolation Functions: A Short Survey. Applied Mathematics, 5, 1834-1841. http://dx.doi.org/10.4236/am.2014.512176
- Deniz, A. and Özdemir, Y. (2015) Graph-Directed Fractal Interpolation Functions.
- Edgar, G. (2008) Measure, Topology and Fractal Geometry. Springer, New York. http://dx.doi.org/10.1007/978-0-387-74749-1
- Mauldin, R.D. and William, S.C. (1988) Hausdorff Dimension in Graph Directed Constructions. Transactions of the American Mathematical Society, 309, 811-829. http://dx.doi.org/10.1090/S0002-9947-1988-0961615-4