Complex quadratic polynomial

A complex quadratic polynomial is a quadratic polynomial whose coefficients and variable are complex numbers.

Properties

Quadratic polynomials have the following properties, regardless of the form:

*It is a unicritical polynomial, i.e. it has one finite critical point in the complex plane, Dynamical plane consist of maximally 2 basins: basin of infinity and basin of finite critical point ( if finite critical point do not escapes)
*It can be postcritically finite, i.e. the orbit of the critical point can be finite, because the critical point is periodic or preperiodic.
* It is a unimodal function,
* It is a rational function,
* It is an entire function.

Forms

When the quadratic polynomial has only one variable (univariate), one can distinguish its four main forms:
* The general form: $f(x) = a_2 x^2 + a_1 x + a_0$ where $a_2 \ne 0$
* The factored form used for the logistic map: $f_r(x) = r x (1-x)$
* $f_(x) = x^2 +\lambda x$ which has an indifferent fixed point with multiplier $\lambda = e^$ at the origin
* The monic and centered form, $f_c(x) = x^2 +c$

The monic and centered form has been studied extensively, and has the following properties:

* It is the simplest form of a nonlinear function with one coefficient (parameter),
* It is a centered polynomial (the sum of its critical points is zero).
* it is a binomial

The lambda form $f_(z) = z^2 +\lambda z$ is:
* the simplest non-trivial perturbation of unperturbated system $z \mapsto \lambda z$
* "the first family of dynamical systems in which explicit necessary and sufficient conditions are known for when a small divisor problem is stable"

Conjugation

Between forms

Since $f_c(x)$ is affine conjugate to the general form of the quadratic polynomial it is often used to study complex dynamics and to create images of Mandelbrot, Julia and Fatou sets.

When one wants change from $\theta$ to $c$:

:$c = c(\theta) = \frac \left(1 - \frac \right).$

When one wants change from $r$ to $c$, the parameter transformation is
:$c = c(r) = \frac = -\frac \left(\frac\right)$

and the transformation between the variables in $z_=z_t^2+c$ and $x_=rx_t(1-x_t)$ is

:$z=r\left(\frac-x\right).$

With doubling map

There is semi-conjugacy between the dyadic transformation (the doubling map) and the quadratic polynomial case of ''c'' = –2.

Notation

Iteration

Here $f^n$ denotes the ''n''-th iterate of the function $f$:

:$f_c^n(z) = f_c^1(f_c^(z))$

so

:$z_n = f_c^n(z_0).$

Because of the possible confusion with exponentiation, some authors write $f^$ for the ''n''th iterate of $f$.

Parameter

The monic and centered form $f_c(x) = x^2 +c$ can be marked by:
* the parameter $c$
* the external angle $\theta$ of the ray that lands:
** at ''c'' in Mandelbrot set on the parameter plane
** on the critical value:''z'' = ''c'' in Julia set on the dynamic plane

so :

:$f_c = f_$

:$c = c()$

Examples:
* c is the landing point of the 1/6 external ray of the Mandelbrot set, and is z->z^2+i (where i^2=-1)
* c is the landing point the 5/14 external ray and is z->z^2+c with c = -1.23922555538957 + 0.412602181602004*i

Paritition of dynamic plane of quadratic polynomial for 1 4.svg, 1/4
Paritition of dynamic plane of quadratic polynomial for 1 6.svg, 1/6
Paritition of dynamic plane of quadratic polynomial for 9 56.svg, 9/56
Paritition of dynamic plane of quadratic polynomial for 129 over 16256.svg, 129/16256

Map

The monic and centered form, sometimes called the Douady-Hubbard family of quadratic polynomials, is typically used with variable $z$ and parameter $c$:

:$f_c(z) = z^2 +c.$

When it is used as an evolution function of the discrete nonlinear dynamical system

: $z_ = f_c(z_n)$

it is named the quadratic map:

:$f_c : z \to z^2 + c.$

The Mandelbrot set is the set of values of the parameter ''c'' for which the initial condition ''z''₀ = 0 does not cause the iterates to diverge to infinity.

Critical items

Critical points

complex plane

A critical point of $f_c$ is a point $z_$ on the dynamical plane such that the derivative vanishes:

: $f_c'(z_) = 0.$

Since

: $f_c'(z) = \fracf_c(z) = 2z$

implies

: $z_ = 0,$

we see that the only (finite) critical point of $f_c$ is the point $z_ = 0$.

$z_0$ is an initial point for Mandelbrot set iteration.

For the quadratic family $f_c(z)=z^2+c$ the critical point z = 0 is the center of symmetry of the Julia set Jc, so it is a convex combination of two points in Jc.

extended complex plane

In the Riemann sphere polynomial has 2d-2 critical points. Here zero and infinity are critical points.

Critical value

A critical value $z_$ of $f_c$ is the image of a critical point:

: $z_ = f_c(z_)$

Since

: $z_ = 0$

we have

: $z_ = c$

So the parameter $c$ is the critical value of $f_c(z)$.

Critical level curves

A critical level curve the level curve which contain critical point. It acts as a sort of skeleton of dynamical plane

Example : level curves cross at saddle point, which is a special type of critical point.

Julia set for z^2+0.7i*z.png, attracting
IntLSM_J.jpg, attracting
ILSMJ.png, attracting
Level sets of attraction time to parabolic fixed point in the fat basilica Julia set.png, parabolic
Quadratic Julia set with Internal level sets for internal ray 0.ogv, Video for c along internal ray 0

Critical limit set

Critical limit set is the set of forward orbit of all critical points

Critical orbit

The forward orbit of a critical point is called a critical orbit. Critical orbits are very important because every attracting periodic orbit attracts a critical point, so studying the critical orbits helps us understand the dynamics in the Fatou set.

:$z_0 = z_ = 0$

:$z_1 = f_c(z_0) = c$

:$z_2 = f_c(z_1) = c^2 +c$

:$z_3 = f_c(z_2) = (c^2 + c)^2 + c$

::$\ \vdots$

This orbit falls into an attracting periodic cycle if one exists.

Critical sector

The critical sector is a sector of the dynamical plane containing the critical point.

Critical set

Critical set is a set of critical points

Critical polynomial

:$P_n(c) = f_c^n(z_) = f_c^n(0)$

so

:$P_0(c)= 0$

:$P_1(c) = c$

:$P_2(c) = c^2 + c$

:$P_3(c) = (c^2 + c)^2 + c$

These polynomials are used for:
* finding centers of these Mandelbrot set components of period ''n''. Centers are roots of ''n''-th critical polynomials
::$\text = \$

* finding roots of Mandelbrot set components of period ''n'' (local minimum of $P_n(c)$)
* Misiurewicz points
::$M_ = \$

Critical curves

Diagrams of critical polynomials are called critical curves.

These curves create the skeleton (the dark lines) of a bifurcation diagram.

Spaces, planes

4D space

One can use the Julia-Mandelbrot 4-dimensional (4D) space for a global analysis of this dynamical system.

In this space there are two basic types of 2D planes:
* the dynamical (dynamic) plane, $f_c$-plane or ''c''-plane
* the parameter plane or ''z''-plane

There is also another plane used to analyze such dynamical systems ''w''-plane:
* the conjugation plane
* model plane

2D Parameter plane

phase space