Study of Cubic Julia Sets in NO
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1 Volume I, Issue I, January 201 Study of Cubic Julia Sets in NO Ashish 1, Mamta Rani 2, Renu Chugh 1, Department of Mathematics, M. D. University, Rohta , India. 1 armsc@gmail.com chughrenu@gmail.com Department of Computer Science, Central University of Rajasthan, 05801, India. 2 mamtarsingh@gmail.com Abstract : Julia sets are considered one of the most attractive fractals and have wide range of applications in science and engineering. In recent decades, Rani and Kumar [26], introduced the Julia sets in superior orbits with improved escape criterions for the cubic polynomials. Our goal in this paper is to study the Julia sets in Noor orbit for the cubic polynomials z z mz n. It is interesting to see that few cubic Julia sets are ain to Christmas tree, Sih Mythological Symbol Khanda and some other decorative pictures. Keywords: Julia sets, Four-step feedbac syste escape criterion, Cubic equation. I. INTRODUCTION With the introduction of fractal geometry, mathematics has presented some interesting complex objects to computer graphics. Interest in Julia sets and related mathematics began in the 1920 s with Gaston Julia [18, p. 122]. His extraordinary talents were recognized from an early age and although he excelled in every subject, he was most passionate about mathematics. Despite the lac of computing power available at the time, Herald Cramer gave the first approximate image of Julia set. Julia sets as a topic of current research with much interest being describing the intricate structure of Julia sets and in calculating their various characteristics such as fractal dimension [0]. Julia sets have been studied for quadratic [8, 9, 14, 18], cubic [5, 6, 9, 10, 11, 15] and also for higher degree polynomials, under Picard orbit, which is an example of one-step feedbac process. Julia sets have been studied under the effect of noises [1-4, 29]. In 2004, Rani introduced superior iterates (a twostep feedbac process) in the study of fractal theory, jointly with Kumar, and created superior Julia sets [26]. Later on, in a series of papers Rani, jointly with other researchers, generated and analyzed superior Julia sets for quadratic [1, 24, 27], cubic [19], and n th degree [20, 21] complex polynomials. Negi, Rani and Mahanti simulated behavior of Julia sets using switching process [16]. Also, superior Julia sets have been studied under the effect of noises [22, 2]. For a complete literature review of superior fractals one may refer to Singh, Mishra and Sinala [28]. Recently, Ashish et. al. [25] have generated new Julia and Mandelbrot sets in Noor orbit (an example of four-step feedbac process) with improved escape criterions. The purpose of this paper is to visualize cubic Julia sets in Noor orbit for the polynomial z z mz n, where z, m and n are complex quantities. This paper has been divided in to five sections. In section 2, Noor iterative procedure has been defined, which is the basis of our wor. In section, escape criterions have been derived for cubic polynomials under Noor orbit. Several cubic Julia sets have been generated in section 4. Finally, the paper has been concluded in section 5. II. PRELIMINARIES In recent literature, there are mainly three types of feedbac machines one-step [18], two-step [19], and threestep [7, 12]. Here, we study Julia sets for cubic polynomial in Noor orbit [17] which is an example of four-step feedbac process. It is better understood by following figure: Definition 1. (Picard Orbit). Let X be a non-empty set and f : X X. For a point x 0 in X, the Picard orbit (generally called orbit of f ) is the set of all iterates of a point x 0, that is : O( f, x 0 ) = {x n : x n = fx n1, n = 1, 2, }. where the O( f, x 0 ) of f at the initial point x 0 is the sequence {f n x 0 }. 1
2 1 / 2 1 / 2 1 / 2 1/ 2 1/ 2 International Journal of Computational Science, Engineering & Technology Volume I, Issue I, January 201 Definition 2. (Noor Orbit). Let us consider a sequence {x n } of iterates for initial point x 0 X such that, NO(T, x 0, α n, β n, n ) = {x n+1 : x n+1 = (1 α n )x n + α n Ty n ; y n = (1 β n )x n + β n Tz n ; z n = (1 n )x n + n Tx n ; n = 0, 1, 2,...} where α n, β n, n [0, 1] and {α n }, {β n }, { n } are sequences of positive numbers, which is called as Noororbit (NO). The above sequence of iterates is called as Noor iterates [17]. Notice that at n = 0, NO reduces to Ishiawa orbits; at β n, = n = 0, NO reduces to Mann orbit; and at β n, = n = 0 and α n = 1, it behaves as Picard orbit. In our further section, we have chosen α n = α, β n = β and n = to mae the analysis simpler. Definition. (Julia Sets) The filled in Julia set of the function A is defined as K(A) = {z C : A (z) does not tend to }, where C is a complex space, A (z) is th iterate of function A and K(A) denotes the filled in Julia set. The Julia set of the function A is defined to be the boundary of K(A) i.e. J(A) = K(A) where J(A) denotes the Julia set. The set of points whose orbits are bounded under the Picard orbit Am, n( z) z mz n is called the Julia set. We choose the initial point 0, as 0 is the only critical point of A n [9, p. 225]. III. ESCAPE CRITERIONS FOR CUBIC POLYNOMIALS IN NO Escape criterion plays an important role in the construction of Julia sets of a function. In this section, we present the new escape criterions for the following cubic polynomials: A ( ) n z z mz n, where m and n are complex numbers. Theorem 1. Let z n ( m 2 / ) 1/2, and z n ( m 2 / ) 1/2 z n ( m 2 / ) 1/2 exists, where 0 1, 0 1, 0 1 and a and b are in complex plane. Define z1 (1 ) z A n( z) zn (1 ) zn1 Am, n( zn 1), n = 2,, 4, where A n (z) is the function of, then z n as n. Corollary 1. (Escape Criterion). Let A ( ) n z z mz n, where m and n are complex numbers. Suppose z max{ n,( m 2 / ),( m 2 / ),( m 2 / ) } then z as. Which gives the escape criterion for cubic polynomials. Corollary 2. Suppose z max{ n,( m 2 / ),( m 2 / ), 1 / 2 m for some 0, then 1 ( 2 / ) } z z and z as. This corollary shows the Julia set of A n (z), for any m and n. IV. GRAPHICAL REPRESENTATION OF CUBIC JULIA SETS Using the computational wor in Mathematica, we generated few Julia sets for cubic polynomials. We iterate the cubic polynomial z z mz n in the Noor iterative procedure. Further, it has been observed that there are two sets of the parameters, α, β,, and n. We observed the following results by changing the parameteric values of these pairs: From the Fig 1-10, we noticed that on increasing the absolute values of two pairs simultaneously or individually, the domain of the cubic Julia sets becomes small and connectivity of the set gets to decrease. It can be observed from the Fig 1-4 that prisoner se of the Julia sets gets fattier and connectivity of Julia sets gets increase when the absolute values of the parameter in any one set is increasing and in another set is decreasing. Further, from the Fig 1-6, it has been visualized that the Fig 1 and Fig 2 too the shapes of Christmas tree (an annual commemoration of birth of Jesus Christ), the Fig 5 and Fig 6 loos lie the Sih Mythological Symbol Khanda, and the Fig is lie wall decorative picture. Fig.1 Christmas tree Cubic Julia Set for α=0., β==0.1, m = , n = 5I 14
3 Volume I, Issue I, January 201 Fig.2 Christmas tree Julia Set for α=0., β==0.1, m = , n = 7I Fig.5 Khanda Cubic Julia Set for α=0.5, β==0.05, m = I, n = 1.5I Fig. Cubic Julia Set for α=0., β==0.1, m = , n = -7I Fig.6 Khanda Cubic Julia Set for α=0.9, β==0.1, m =, n = I Fig.4 Cubic Julia Set for α=0., β==0.1, m = 8I, n = I Fig.7 Cubic Julia Set for α= β =0.1, =0.5, m = 0, n = -.55I 15
4 Volume I, Issue I, January 201 V. CONCLUSION In the dynamics of cubic polynomial z z mz n there exists many cubic Julia sets for the values of parameters α, β,, n and z with respect to Noor orbit (NO). It is intersesting to see that few Julia sets too the shapes of Christmas tree, Sih Mythological Symbol Khanda and wall decorative picture. ACKNOWLEDGMENTS This Research is supported by the University Grant Commission of India (Grant No. 9-29/2010(SR)) Fig.8 Cubic Julia Set for α=0., β=.2, =0.1, m = -7, n = I Fig.9 Cubic Julia Set for α=0., β ==0.1, m = I, n = --I Fig.10 Cubic Julia Set for α= β==0.5, m = I, n =1.5I REFERENCES [1] Ioannis Andreadis and Theodoros E. Karaasidis, On a topological closeness of perturbed Julia sets, Appl. Math. Comput., (217)(6)(2010), MR2772 Zbl [2] Ioannis Andreadis and Theodoros E. Karaasidis, On a topological closeness of perturbed Mandelbrot sets, Appl. Math. Comput., (215)(10)(2010), MR Zbl [] Jhon Argyris, Theodoros E. Karaasidis and Ioannis Andreadis, On the Julia set of the perturbed Mandelbrot map, Chaos Solitons Fractals, (11)(1)(2000), MR Zbl [4] Jhon Argyris, Theodoros E. Karaasidis and Ioannis Andreadis, On the Julia sets of a noise-perturbed Mandelbrot map, Chaos Solitons Fractals, (1)(2)(2002), MR Zbl [5] Bodil Branner and John H. Hubbard, The Iteration of Cubic Polynomials Part I: The global topology of parameter space, Acta Math., (160)(-4)(1988), MR Zbl [6] Bodil Branner and John H. Hubbard, The Iteration of Cubic Polynomials Part II: Patterns and parapatterns, Acta Math., (169)(-4)(1992), MR Zbl [7] Y. S. Chauhan, R. Rana and A. Negi, New Julia sets of Ishiawa Iterates, Int. J. Comput. Appl., (7)(1)(2010), [8] A. J. Crilly, R. A. Earnshaw and H. Jones, Fractals and Chaos, Springer-Verlag, New Yor, Inc., [9] Robert L. Devaney, A First Course in Chaotic Dynamical Systems: Theory and Experiment, Addison- Wesley, MR [10] A. Douady and J. H. Hubbard, Étude dynamique des pôlynomes complexes, Publications Mathematiques d Orsay 84-02, Université de Paris-Sud, [11] Adam Epstein and Michael Yampolsy, Geography of the cubic connectedness locus: intertwining surgery, 16
5 Volume I, Issue I, January 201 Ann. Sci. École Norm. Sup. 4 (2)(2)(1999), MR Zbl [12] S. Ishiawa, Fixed Points by a new iteration method, Proc. Of Amer. Math. Soc., (44)(1974), [1] Manish Kumar and Mamta Rani, A new approach to superior Julia sets, J. Nature. Phys. Sci., (19)(2)(2005), MR [14] Tan Lei, Similarity between the Mandelbrot setsand Julia sets, Commun. Math. Phys., (14)()(1990), [15] Sy-Sang Liaw, The parameter spaces of the cubic polynomials, Fractals, (6)(2)(1998), MR Zbl [16] Ashish Negi, Mamta Rani and P. K. Mahanti, Computer simulation of the behavior of Julia sets using switching processes, Chaos Solitons Fractals, (7)(4)(2008), Zbl [17] M. A Noor, New approximation schemes for general variational inequalities, J. Math. Anal. Appl., (251)(2000), [18] H. O. Peitgen, H. Jurgens and D. Saupe, Chaos and Fractals, Springer-Verlag, New Yor, Inc., [19] Mamta Rani, Cubic superior Julia sets, in: Proc. European Computing Conference, 2011, [20] Mamta Rani, Superior antifractals, in: IEEE Proc. ICCAE 2010, vol. 1, [21] Mamta Rani, Superior tricorns and multicorns, in: WSEAS Proc. 9th Int. conf. on Applications of Computer Engineering (ACE 10): Recent Advances & Applications of Computer Engineering, 2010, [22] Mamta Rani and Rashi Agarwal, Effect of noise on Julia sets generated by logistic map, in: Proc. 2 nd IEEE International Conference on Computer and Automation Engineering (ICCAE 2010), vol. 2, [2] Mamta Rani and Rashi Agarwal, Effect of stochastic noise on superior Julia sets, J. Math. Imaging Vis., (6)(2010), MR [24] Mamta Rani and Rashi Agarwal, Generation of fractals from complex logistic map, Chaos Solitons Fractals, (42)(1)(2009), [25] Ashish, Mamta Rani and R. Chugh, New Julia sets and Mandelbrot sets in Noor orbit, (Communicated). [26] M. Rani and V. Kumar, Superior Julia set, J. Korean Soc. Math. Edu. Res. Ser. D, (8)(4)(2004), [27] Mamta Rani and Ashish Negi, New Julia sets for complex Carotid-Kundalini function, Chaos Solitons Fractals, (6)(2)(2008), MR28215 Zbl [28] S. L. Singh, S. N. Mishra and W. Sinala, A new iterative approach to fractal models, Communications in Nonlinear Science and Numerical Simulations, (17)(2)(2011), [29] Xingyuan Wang, Ruihong Jia and Yuanyuan Sun, The generalized Julia set perturbed by composing additive and multiplicative noises, Discre. Dynam. Natur. Soc. (2009), Art. ID , 18. MR Zbl [0] Jonthan Fraser, An Introduction to Julia sets, 16 April
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