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Author Topic: Coupled Mandelbrot Sets (CMS)  (Read 16550 times)
Description: Linear, symmetric coupling between 2 Mandelbrot sets
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bkercso
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« Reply #30 on: June 05, 2016, 11:53:13 PM »

I opened a new topic for fractals with random noise. I link it because these produce similar patterns:
http://www.fractalforums.com/mandelbrot-and-julia-set/noisy-ifs-fractals-new-patterns/msg93591/#msg93591
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0Encrypted0
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« Reply #31 on: July 31, 2016, 06:22:58 AM »

Alternate, Interpolate and DEcombinate are the current methods to hybridize formulas in Mandelbulb 3D.
Is the Coupled Mandelbrot Sets (CMS) method applicable to 3D?
Could it be added to the above methods?
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bkercso
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« Reply #32 on: August 23, 2016, 12:12:26 PM »

I think it should be the same as the interpolate method. Please see the code in the 1st page.
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claude
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« Reply #33 on: August 27, 2016, 08:31:57 PM »

Don't know if this paper has been mentioned:

http://arxiv.org/abs/1604.04880

Quote
Real and complex behavior for networks of coupled logistic maps
Anca Radulescu, Ariel Pignatelli
(Submitted on 17 Apr 2016)

Many natural systems are organized as networks, in which the nodes interact in a time-dependent fashion. The object of our study is to relate connectivity to the temporal behavior of a network in which the nodes are (real or complex) logistic maps, coupled according to a connectivity scheme that obeys certain constrains, but also incorporates random aspects. We investigate in particular the relationship between the system architecture and possible dynamics. In the current paper we focus on establishing the framework, terminology and pertinent questions for low-dimensional networks. A subsequent paper will further address the relationship between hardwiring and dynamics in high-dimensional networks.

For networks of both complex and real node-maps, we define extensions of the Julia and Mandelbrot sets traditionally defined in the context of single map iterations. For three different model networks, we use a combination of analytical and numerical tools to illustrate how the system behavior (measured via topological properties of the Julia sets) changes when perturbing the underlying adjacency graph. We differentiate between the effects on dynamics of different perturbations that directly modulate network connectivity: increasing/decreasing edge weights, and altering edge configuration by adding, deleting or moving edges. We discuss the implications of considering a rigorous extension of Fatou-Julia theory known to apply for iterations of single maps, to iterations of ensembles of maps coupled as nodes in a network.

Comments:    20 pages, 16 figures
Subjects:    Dynamical Systems (math.DS)
Cite as:    arXiv:1604.04880 [math.DS]
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