Fractals/Iterations in the complex plane/Mandelbrot set/centers

name ( synonims )

 * center of hyperbolic component of Mandelbrot set
 * Nucleus of a Mu-Atom

definition
A center of a hyperbolic component H is a parameter $$ c_0 \in H\,$$ ( or point of parameter plane )  such that the corresponding periodic orbit has multiplier= 0."

Initial domain

 * "All centers of M of any period are contained in the interior of M, so that the circle C = {z ∈ C: |z − 0.75| = 2} surrounds all centers. "
 * "one can exploit the real symmetry of M and only use starting points with non-negative imaginary parts; "

Period
Period of center = period of critical orbit = period of hyperbolic component

Julia set
It is the easiest case for drawing Julia sets.

Dynamical plane consist of 2 superattracting basins
 * exterior ( ininity is a superattracting fixed point)
 * interior ( z=0 is one of superattracting periodic points)

See commons categories:
 * commons Category:Circle Julia sets = period 1 center Julia set
 * commons Category:Basilica Julia sets = period 2 Julia set
 * period 3 centers
 * commons Category:Douady rabbit Julia sets
 * commons Category:Airplane Julia sets

Number of Mandelbrot set components
Equation : $$ N(p) = 2^{p-1} - s $$

where :
 * N(p) is a number of all components of Mandelbrot set for given period p.
 * p is a period
 * s is a sum of numbers of its components for each divisor of period smaller than period p

All values are positive integers. It is sequence A000740

Program in Maxima CAS : N(p) := block( [a:2^(p-1),f:0], for f in divisors(p) do   if f < p then a : a - N(f), return(a) );

One can run it :

for p:1 thru 50 step 1 do display(N(p));

N(1)=1 N(2)=1 N(3)=3 N(4)=6 N(5)=15 N(6)=27 N(7)=63 N(8)=120 N(9)=252 N(10)=495 N(11)=1023 N(12)=2010 N(13)=4095 N(14)=8127 N(15)=16365 N(16)=32640 N(17)=65535 N(18)=130788 N(19)=262143 N(20)=523770 N(21)=1048509 N(22)=2096127 N(23)=4194303 N(24)=8386440 N(25)=16777200 N(26)=33550335 N(27)=67108608 N(28)=134209530 N(29)=268435455 N(30)=536854005 N(31)=1073741823 N(32)=2147450880 N(33)=4294966269 N(34)=8589869055 N(35)=17179869105 N(36)=34359605280 N(37)=68719476735 N(38)=137438691327 N(39)=274877902845 N(40)=549755289480 N(41)=1099511627775 N(42)=2199022198821 N(43)=4398046511103 N(44)=8796090925050 N(45)=17592186027780 N(46)=35184367894527 N(47)=70368744177663 N(48)=140737479934080 N(49)=281474976710592 N(50)=562949936643600

or :

sum(N(p),p,1,50);

result :

1125899873221781 Also c program:

See also
 * Counting Hyperbolic Components in the Main Molecule

How to compute centers ?
Methods : Quadtree depth was purposely limited on higher periods to reduce run time since the number of roots becomes unmanageable." James Artherton
 * all centers for given period $$p\,$$
 * solving $$F_p(0,c) = 0 \,$$ or $$ G_p(0,c) = 0\,$$
 * showing results in graphical form
 * using numerical methods
 * "quick and dirty" algorithm : check if $$abs(z_n ) < eps$$ then colour c-point with colour n. Here n is a period of attracting orbit and eps is a radius of circle around attracting point = precision of numerical comutations
 * finding all roots of polynomial
 * The iterated refinement Newton method
 * the Ehrlich-Aberth iteration ( Mpsolve )
 * atom domains
 * Myrberg's method
 * interval arithmetics and a divide and conquer strategy
 * "Searching is performed using a quadtree subdivision of the grid which increases search resolution in areas of higher root density. Within a search area first a map of the function magnitude is made at moderate resolution, then points of local minimum are refined using 640 bit fixed point math. Root searching requires twice the precision of the desired result due to multiplying very small numbers. As roots are added the quadtree is subdivided further and the search continues. Only the upper half plane is searched due to symmetry.
 * one center $$c_p\,$$ for given period $$p\,$$ near given point $$c\,$$
 * some steps of Newton method for solving $$F_p(0,c_p) = 0 \,$$

System of equations defining centers


Center of hyperbolic component is a point $$c\,$$ of parameter plain, for which periodic z-cycle is superattracting. It gives a system of 2 equations defining centers of period $$p\,$$ hyperbolic components :
 * first defines periodic point $$z_0\,$$,
 * second makes $$z_0\,$$ point superattracting.

$$\begin{cases} F_p(z_0,c) = z_0 \\ \frac{df_c^{(p)}(z_0)}{dz}=0 \end{cases}$$

see definitions for details.

"These polynomials have integer coefficients. They can be obtained by a recurrent relation on the degree. Let Pd the polynomial of degree d. We have"

$$ P_0(z) = 1 $$

$$P_{d+1}(z) = z P^2_d + 1$$

Solving system of equations
Second equation can be solved when critical point $$z_{cr} = 0 \,$$ is in this cycle :

$$z_0 = z_{cr} = 0 \,$$

To solve system put $$z_0\,$$ into first equation.

Equation defining centers
One gets equation :

$$F_p(0,c) = 0 \,$$

Centers of components are roots of above equation.

Because $$z = 0 \,$$ one can remove z from these equations :

$$ Here is Maxima functions for computing above functions :
 * for period 1 : z^2+c=z and z=0  			so 	$$c=0$$
 * for period 2 : (z^2+c)^2 +c =z and z=0 		so 	$$c^2 + c =0$$
 * for period 3 : ((z^2+c)^2 +c)^2 +c = z  and z=0 	so 	$$(c^2 + c)^2 +c =0

P[n]:=if n=1 then c else P[n-1]^2+c;

Reduced equation defining centers
Set of roots of above equation contains centers for period p and its divisors. It is because :

$$F_p(0,c) = \prod_{m|p} G_m(0,c) \,$$

where :
 * $$G\,$$ = Gleason's period-m polynomial = irreducible divisors of $$F_p \,$$
 * capital Pi notation of iterated multiplication is used
 * $$m|p\,$$ means here : for all divisors of $$p\,$$ ( from 1 to p ). See table of divisors.

For example, :

$$F_1 = c = G_1 \,$$

$$F_2 = c*(c+1) = G_1* G_2 \,$$

$$F_3 = c*(c^3+2*c^2+c+1) = G_1* G_3 \,$$

$$F_4 = c*(c+1)*(c^6+3*c^5+3*c^4+3*c^3+2*c^2+1) = G_1* G_2* G_4 \,$$

So one can find irreducible polynomials using :

$$G_p(0,c) = \frac{F_p(0,c) }{ \prod_{m|p,m<p} G_m(0,c)} \,$$

Here is Maxima function for computing $$G \,$$ :

GiveG[p]:= block( [f:divisors(p), t:1], /* t is temporary variable = product of Gn for (divisors of p) other than p */ f:delete(p,f), /* delete p from list of divisors */ if p=1 then return(Fn(p,0,c)), for i in f do t:t*GiveG[i], g: Fn(p,0,c)/t, return(ratsimp(g)) )$

Here is a table with degree of $$F\,$$ and $$G\,$$ for periods 1-10 and precision needed to compute coefficients of these functions (the roots can be calculated with lower precision, provided you work with the unexpanded form $$(\ldots (c^2 + c)^2 + c \ldots)^2 + c$$).

Where:
 * fpprec is the number of significant decimal digits for arithmetic on bigfloat numbers

Here is a table of greatest coefficients.

Precision can be estimated as bigger than size of binary form of greatest coefficient $$log_2(gc)\,$$ :

$$fpprec > log_2(gc)\,$$

Here is Maxima code for $$gc\,$$ period_Max:11; /* - definitions ---*/ /* basic function = monic and centered complex quadratic polynomial http://en.wikipedia.org/wiki/Complex_quadratic_polynomial */ f(z,c):=z*z+c $ /* iterated function */ fn(n, z, c) := if n=1 	then f(z,c) else f(fn(n-1, z, c),c) $ /* roots of Fn are periodic point of fn function */ Fn(n,z,c):=fn(n, z, c)-z $ /* gives irreducible divisors of polynomial Fn[p,z=0,c] */ GiveG[p]:= block( [f:divisors(p),t:1], g, f:delete(p,f), if p=1 then return(Fn(p,0,c)), for i in f do t:t*GiveG[i], g: Fn(p,0,c)/t,   return(ratsimp(g))  )$ /* degree of function */ GiveDegree(_function,_var):=hipow(expand(_function),_var); log10(x) := log(x)/log(10); /* --*/ file_output_append:true; /* to append new string to file */ grind:true; for period:1 thru period_Max step 1 do ( g[period]:GiveG[period], /* function g */ d[period]:GiveDegree(g[period],c), /* degree of function g */ cf[period]:makelist(coeff(g[period],c,d[period]-i),i,0,d[period]), /* list of coefficients */ cf_max[period]:apply(max, cf[period]), /* max coefficient */ disp(cf_max[period]," ",ceiling(log10(cf_max[period]))), s:concat("period:",string(period)," cf_max:",cf_max[period]), stringout("max_coeff.txt",s)/* save output to file as Maxima expressions */ );

See also:
 * math.stackexchange question: irreducible-factors-of-mandelbrot-polynomials

Graphical methods for finding centers
All these methods shows centers for period n and its divisors.





color is proportional to magnitude of zn

 * color is proportional to magnitude of zn
 * Parameter plane is scanned for points c for which orbit of critical point vanishes
 * YouTube video : Mandelbrot Oscillations

color shows in which quadrant zn lands


This is radial nth-decomposition of exterior of Mandelbrot set ( compare it with n-th decomposition of LSM/M )

4 colors are used because there are 4 quadrants :
 * re(z_n) > 0 and im(z_n) > 0 ( 1-st quadrant )
 * re(z_n) < 0 and im(z_n) > 0 ( 2-nd quadrant )
 * re(z_n) < 0 and im(z_n) < 0 ( 3-rd quadrant )
 * re(z_n) > 0 and im(z_n) < 0 (4-th quadrant ).

"... when the four colors are meeting somewhere, you have a zero of q_n(c), i.e., a center of period dividing n. In addition, the light or dark color shows if c is in M." ( Wolf Jung )

Here is fragment of c code for computing 8-bit color for point c = cx + cy * i  :

One can also find cpp code in function quadrantqn from class mndlbrot in mndlbrot.cpp file from source code of program Mandel by Wolf Jung

The differences from standard loop are :
 * there is no bailout test (for example for max value of abs(zn) ). It means that every point has the same number of iterations. For large n overflow is possible. Also one can't use test Iteration==IterationMax
 * Iteration limit is relatively small ( start for example IterationMax = 8 )

See also code in Sage

Newton method
Newton method for finding one root

Lists of centers

 * centers for periods 1-20 ( sum = 1 045 239 ) by James Artherton. Made with custom software using 320 bit fixed point math (approx. 92 decimal digits) and  a quadtree subdivision of the grid to increase the search resolution in areas with higher root density. This adapts to very fine resolution in the tips of the antennae.
 * largest islands by Robert P Munafo
 * a database of all islands up to period 16, found by tracing external rays (period, islandhood, angled internal address, lower external angle numerator, denominator, upper numerator, denominator, orientation, size, centre realpart, imagpart)
 * real centers of components computed by Jay R. Hill
 * collection of centers lists
 * islands
 * madore.org/~david math/mandpoints.dat

List:
 * c = 0.339410819995598 -0.050668285162643 i    period = 11, distorted minibrot
 * c = 0.325589509550660 -0.038047880934756 i    period = 12, distorted minibrot
 * c = 0.314559489984000 -0.029273969079000 i    period = 13, distorted minibrot
 * c = 0.272149607027528 +0.005401159465460 i    period = 22, distorted minibrot

85 0.355534 -0.337292 134 -1.7492046334590113301 -2.8684660234660531403e-04 268 -1.7492046334594190961 -2.8684660260955536656e-04 272 3.060959246472445584e-01 2.374276727158354376e-02 204 3.06095924633099439e-01 2.3742767284688944e-02 204 3.06095924629285095e-01 2.37427672645622342e-02 136 3.06095924643046857e-01 2.374276727237906e-02 68 3.06095924629536442e-01 2.37427672749394494e-02 134 -1.7492046334590114 -2.8684660234659111e-04 267 -1.1822493706369402373694114253571e-01 6.497492977188836930425943612155e-01 268 -1.182402951560276787014475129283e-01 6.4949165134945441813936036487738e-01 18 -0.814158841137593 0.189802029306573 32 0.2925755 -0.0149977 52 -0.22817920780250860271129306628202459167994 1.11515676722969926888221122588497247465766

mandelbrot-solver
It is a package for Ubuntu A solver for Mandelbrot polynomials based on MPSolve. A polynomial rootfinder that can determine arbitrary precision approximations with guaranteed inclusion radii. It supports exploiting of polynomial structures such as sparsisty and allows for polynomial implicitly defined or in some non standard basis. This binary, provided as an example of custom polynomial implementation in the MPSolve package, uses the particular structure of this family of polynomials to develop an efficient solver that exhibit experimental O(n^2) complexity.

This package contains the specialization of mpsolve to Mandelbrot polynomials.

example :

It seems that:

level = period -1

and then results are centers.