Abstract
Julia sets are considered one of the most attractive fractals and have wide range of applications in science and engineering. The strong physical meaning of Mandelbrot and Julia sets is broadly accepted and nicely connected by Christian Beck (Physica D 125(3–4):171–182, 1999) to the complex logistic maps, in the former case, and to the inverse complex logistic map, in the latter. Argyris et al. (Chaos Solitons Fractals 11(13):2067–2073, 2000) have studied the effect of noise on Julia sets and concluded that Julia sets are stable for noises of low strength, and a small increment in the strength of noise may cause considerable deterioration in the configuration of the Julia sets. It is well-known that the method of function iterates plays a crucial role in discrete dynamics utilizing the techniques of fractal theory. However, recently Rani and Kumar (J. Korea Soc. Math. Edu. Ser. D: Res. Math. Edu. 8(4):261–277, 2004) introduced superior iterations as a generalization of function iterations in the study of Julia sets and studied superior Julia sets. This technique is further utilized to study effectively new Mandelbrot sets and related properties (see, for instance, Negi and Rani, Chaos Solitons Fractals 36(2):237–245, 2008; 36(4):1089–1096, 2008, Rani and Kumar, J. Korea Soc. Math. Edu. Ser. D: Res. Math. Edu. 8(4):279–291, 2004). The intent of this paper is to study certain effects of noise on superior Julia sets. We find that the superior Julia sets are drastically more stable for higher strength of noises than the classical Julia sets. Finally, we make a humble attempt to discuss some applications of superior orbit in discrete dynamics and of superior Julia sets in particle dynamics.
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Argyris, J., Andreadis, I., Pavlos, G., Athanasiou, M.: On the influence of noise on the correlation dimension of chaotic attractors. Chaos Solitons Fractals 9(3), 343–361 (1998). Zbl 0933.37045, MR1625679
Argyris, J., Andreadis, I., Karakasidis, T.E.: On perturbation of the Mandelbrot map. Chaos Solitons Fractals 11(7), 1131–1136 (2000). MR1742391
Argyris, J., Karakasidis, T.E., Andreadis, I.: On the Julia set of the perturbed Mandelbrot map. Chaos Solitons Fractals 11(13), 2067–2073 (2000). MR1771593
Argyris, J., Karakasidis, T.E., Andreadis, I.: On the Julia sets of a noise-perturbed Mandelbrot map. Chaos Solitons Fractals 13(2), 245–252 (2002). MR1860768 (2002g:37051)
Beck, C.: Physical meaning for Mandelbrot and Julia sets. Physica D 125(3–4), 171–182 (1999). Zbl 0988.37060
Devaney, R.L.: A First Course in Chaotic Dynamical Systems: Theory and Experiment. Addison-Wesley Studies in Nonlinearity. Addison-Wesley, Reading (1992). MR1202237 (94a:58124)
Drakopoulos, V.: Schroder iteration functions associated with a one-parameter family of biquadratic polynomials. Chaos Solitons Fractals 13(2), 233–243 (2002). MR1860767
Falconer, K.: Fractal Geometry, Mathematical Foundations and Applications. Wiley, New York (1990). MR1102677 (92j:28008)
Gilbert, W.J.: The complex dynamics of Newton’s method for a double root. Comput. Math. Appl. 22(10), 115–119 (1991). Zbl 0753.65039
Govin, M., Jauslin, H.R., Cibils, M.: Julia sets in iterative KAM methods for eigenvalue problems. Chaos Solitons Fractals 9(11), 1835–1846 (1998). MR1670351
Jeong, M., Kim, G.O., Seong, S, Kim, A.: Dynamics of Newton method for solving some equations. Comput. Graphics 26(2), 271–279 (2002)
Mandelbrot, B.B.: Fractals and Chaos: The Mandelbrot Set and Beyond. Springer, New York (2004). Selecta Volume C with a Foreword by P.W. Jones and Texts Co-authored by C.J.G. Evertsz and M.C. Gutzwiller, Selected Works of Benoit B. Mandelbrot. MR2029233 (2005b:01054)
Negi, A., Rani, M.: Midgets of superior Mandelbrot set. Chaos Solitons Fractals 36(2), 237–245 (2008). MR2382154
Negi, A., Rani, M.: A new approach to dynamic noise on superior Mandelbrot set. Chaos Solitons Fractals 36(4), 1089–1096 (2008). MR2379372
Peitgen, H.-O., Jürgens, H., Saupe, D.: Chaos and Fractals: New Frontiers of Science with a Foreword by Mitchell J. Feigenbaum. Springer, New York (1992). Appendix A by Yuval Fisher. Appendix B by Carl J.G. Evertsz and Benoit B. Mandelbrot. MR1185709 (93k:58157)
Rani, M., Kumar, V.: Superior Julia set. J. Korea Soc. Math. Edu. Ser. D: Res. Math. Edu. 8(4), 261–277 (2004)
Rani, M., Kumar, V.: Superior Mandelbrot set. J. Korea Soc. Math. Edu. Ser. D: Res. Math. Edu. 8(4), 279–291 (2004)
Rani, M., Kumar, V.: A new experiment with the logistic function. J. Indian Acad. Math. 27(1), 143–156 (2005). MR2224669
Rani, M., Agarwal, R.: A new experimental approach to study the stability of logistic map. Chaos Solitons Fractals 141(4), 2062–2066 (2009)
Russell, D.W., Alpigini, J.J.: Visualization of controllable regions in real-time systems using 3D-Julia set methodology. In: Proc. Information Visualisation (IV_97), pp. 25–31. IEEE Computer Society, Los Alamitos (1997)
Xing-Yuan, W., Wei, L.: The Julia set of Newton’s method for multiple root. Appl. Math. Comput. 172(1), 101–110 (2006). Zbl 1090.65057
Xing-Yuan, W., Chang, P.-J., Gu, N.-N.: Additive perturbed generalized Mandelbrot-Julia sets. Appl. Math. Comput. 189(1), 754–765 (2007). MR2330253
Xing-Yuan, W., Ruihong, J., Zhenfeng, Z.: The generalized Mandelbrot set perturbed by composing noise of additive and multiplicative. Appl. Math. Comput. 210, 107–116 (2009)
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Rani, M., Agarwal, R. Effect of Stochastic Noise on Superior Julia Sets. J Math Imaging Vis 36, 63–68 (2010). https://doi.org/10.1007/s10851-009-0171-0
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DOI: https://doi.org/10.1007/s10851-009-0171-0