Periodic points of complex quadratic mappings

Last updated

This article describes periodic points of some complex quadratic maps. A map is a formula for computing a value of a variable based on its own previous value or values; a quadratic map is one that involves the previous value raised to the powers one and two; and a complex map is one in which the variable and the parameters are complex numbers. A periodic point of a map is a value of the variable that occurs repeatedly after intervals of a fixed length.

Contents

These periodic points play a role in the theories of Fatou and Julia sets.

Definitions

Let

be the complex quadric mapping, where and are complex numbers.

Notationally, is the -fold composition of with itself (not to be confused with the th derivative of )—that is, the value after the k-th iteration of the function Thus

Periodic points of a complex quadratic mapping of period are points of the dynamical plane such that

where is the smallest positive integer for which the equation holds at that z.

We can introduce a new function:

so periodic points are zeros of function : points z satisfying

which is a polynomial of degree

Number of periodic points

The degree of the polynomial describing periodic points is so it has exactly complex roots (= periodic points), counted with multiplicity.

Stability of periodic points (orbit) - multiplier

Stability index of periodic points along horizontal axis Multiplier4 f.png
Stability index of periodic points along horizontal axis
boundaries of regions of parameter plane with attracting orbit of periods 1-6 Mandelbrot set Components.jpg
boundaries of regions of parameter plane with attracting orbit of periods 1-6
Critical orbit of discrete dynamical system based on complex quadratic polynomial. It tends to weakly attracting fixed point with abs(multiplier) = 0.99993612384259 Critical orbit 3d.png
Critical orbit of discrete dynamical system based on complex quadratic polynomial. It tends to weakly attracting fixed point with abs(multiplier) = 0.99993612384259

The multiplier (or eigenvalue, derivative) of a rational map iterated times at cyclic point is defined as:

where is the first derivative of with respect to at .

Because the multiplier is the same at all periodic points on a given orbit, it is called a multiplier of the periodic orbit.

The multiplier is:

A periodic point is [2]

Periodic points

Period-1 points (fixed points)

Finite fixed points

Let us begin by finding all finite points left unchanged by one application of . These are the points that satisfy . That is, we wish to solve

which can be rewritten as

Since this is an ordinary quadratic equation in one unknown, we can apply the standard quadratic solution formula:

and

So for we have two finite fixed points and .

Since

and where

we have .

Thus fixed points are symmetrical about .

This image shows fixed points (both repelling) JuliaRay3.png
This image shows fixed points (both repelling)

Complex dynamics

Fixed points for c along horizontal axis Fixed.png
Fixed points for c along horizontal axis
Fatou set for F(z) = z*z with marked fixed point Julia0bb.jpg
Fatou set for F(z) = z*z with marked fixed point

Here different notation is commonly used: [4]

with multiplier

and

with multiplier

Again we have

Since the derivative with respect to z is

we have

This implies that can have at most one attractive fixed point.

These points are distinguished by the facts that:

  • is:
    • the landing point of the external ray for angle=0 for
    • the most repelling fixed point of the Julia set
    • the one on the right (whenever fixed point are not symmetrical around the real axis), it is the extreme right point for connected Julia sets (except for cauliflower). [5]
  • is:
    • the landing point of several rays
    • attracting when is in the main cardioid of the Mandelbrot set, in which case it is in the interior of a filled-in Julia set, and therefore belongs to the Fatou set (strictly to the basin of attraction of finite fixed point)
    • parabolic at the root point of the limb of the Mandelbrot set
    • repelling for other values of

Special cases

An important case of the quadratic mapping is . In this case, we get and . In this case, 0 is a superattractive fixed point, and 1 belongs to the Julia set.

Only one fixed point

We have exactly when This equation has one solution, in which case . In fact is the largest positive, purely real value for which a finite attractor exists.

Infinite fixed point

We can extend the complex plane to the Riemann sphere (extended complex plane) by adding infinity:

and extend such that

Then infinity is:

Period-2 cycles

Bifurcation from period 1 to 2 for complex quadratic map Bifurcation1-2.png
Bifurcation from period 1 to 2 for complex quadratic map
Bifurcation of periodic points from period 1 to 2 for fc(z)=z*z +c Bifurcation of periodic points from period 1 to 2 for fc(z)=z*z +c.gif
Bifurcation of periodic points from period 1 to 2 for fc(z)=z*z +c

Period-2 cycles are two distinct points and such that and , and hence

for :

Equating this to z, we obtain

This equation is a polynomial of degree 4, and so has four (possibly non-distinct) solutions. However, we already know two of the solutions. They are and , computed above, since if these points are left unchanged by one application of , then clearly they will be unchanged by more than one application of .

Our 4th-order polynomial can therefore be factored in 2 ways:

First method of factorization

This expands directly as (note the alternating signs), where

We already have two solutions, and only need the other two. Hence the problem is equivalent to solving a quadratic polynomial. In particular, note that

and

Adding these to the above, we get and . Matching these against the coefficients from expanding , we get

and

From this, we easily get

and .

From here, we construct a quadratic equation with and apply the standard solution formula to get

and

Closer examination shows that:

and

meaning these two points are the two points on a single period-2 cycle.

Second method of factorization

We can factor the quartic by using polynomial long division to divide out the factors and which account for the two fixed points and (whose values were given earlier and which still remain at the fixed point after two iterations):

The roots of the first factor are the two fixed points. They are repelling outside the main cardioid.

The second factor has the two roots

These two roots, which are the same as those found by the first method, form the period-2 orbit. [7]

Special cases

Again, let us look at . Then

and

both of which are complex numbers. We have . Thus, both these points are "hiding" in the Julia set. Another special case is , which gives and . This gives the well-known superattractive cycle found in the largest period-2 lobe of the quadratic Mandelbrot set.

Cycles for period greater than 2

Periodic points of f(z) = z*z-0.75 for period =6 as intersections of 2 implicit curves Periodic points of f(z) = z*z-0.75 for period =6 as intersections of 2 implicit curves.svg
Periodic points of f(z) = z*z−0.75 for period =6 as intersections of 2 implicit curves

The degree of the equation is 2n; thus for example, to find the points on a 3-cycle we would need to solve an equation of degree 8. After factoring out the factors giving the two fixed points, we would have a sixth degree equation.

There is no general solution in radicals to polynomial equations of degree five or higher, so the points on a cycle of period greater than 2 must in general be computed using numerical methods. However, in the specific case of period 4 the cyclical points have lengthy expressions in radicals. [8]

In the case c = –2, trigonometric solutions exist for the periodic points of all periods. The case is equivalent to the logistic map case r = 4: Here the equivalence is given by One of the k-cycles of the logistic variable x (all of which cycles are repelling) is

Related Research Articles

Bessel function Families of solutions to related differential equations

Bessel functions, first defined by the mathematician Daniel Bernoulli and then generalized by Friedrich Bessel, are canonical solutions y(x) of Bessel's differential equation

Exponential distribution Probability distribution

In probability theory and statistics, the exponential distribution is the probability distribution of the time between events in a Poisson point process, i.e., a process in which events occur continuously and independently at a constant average rate. It is a particular case of the gamma distribution. It is the continuous analogue of the geometric distribution, and it has the key property of being memoryless. In addition to being used for the analysis of Poisson point processes it is found in various other contexts.

Quartic equation Polynomial equation

In mathematics, a quartic equation is one which can be expressed as a quartic function equaling zero. The general form of a quartic equation is

In geometry and complex analysis, a Möbius transformation of the complex plane is a rational function of the form

In mathematics, the classical orthogonal polynomials are the most widely used orthogonal polynomials: the Hermite polynomials, Laguerre polynomials, Jacobi polynomials.

Lotka–Volterra equations Equations modelling predator–prey cycles

The Lotka–Volterra equations, also known as the predator–prey equations, are a pair of first-order nonlinear differential equations, frequently used to describe the dynamics of biological systems in which two species interact, one as a predator and the other as prey. The populations change through time according to the pair of equations:

A continuous-time Markov chain (CTMC) is a continuous stochastic process in which, for each state, the process will change state according to an exponential random variable and then move to a different state as specified by the probabilities of a stochastic matrix. An equivalent formulation describes the process as changing state according to the least value of a set of exponential random variables, one for each possible state it can move to, with the parameters determined by the current state.

Pearson distribution Family of continuous probability distributions

The Pearson distribution is a family of continuous probability distributions. It was first published by Karl Pearson in 1895 and subsequently extended by him in 1901 and 1916 in a series of articles on biostatistics.

Geodesics in general relativity Generalization of straight line to a curved space time

In general relativity, a geodesic generalizes the notion of a "straight line" to curved spacetime. Importantly, the world line of a particle free from all external, non-gravitational forces is a particular type of geodesic. In other words, a freely moving or falling particle always moves along a geodesic.

In mathematics, the Gaussian or ordinary hypergeometric function2F1(a,b;c;z) is a special function represented by the hypergeometric series, that includes many other special functions as specific or limiting cases. It is a solution of a second-order linear ordinary differential equation (ODE). Every second-order linear ODE with three regular singular points can be transformed into this equation.

Generalized inverse Gaussian distribution

In probability theory and statistics, the generalized inverse Gaussian distribution (GIG) is a three-parameter family of continuous probability distributions with probability density function

Maxwells equations in curved spacetime Electromagnetism in general relativity

In physics, Maxwell's equations in curved spacetime govern the dynamics of the electromagnetic field in curved spacetime or where one uses an arbitrary coordinate system. These equations can be viewed as a generalization of the vacuum Maxwell's equations which are normally formulated in the local coordinates of flat spacetime. But because general relativity dictates that the presence of electromagnetic fields induce curvature in spacetime, Maxwell's equations in flat spacetime should be viewed as a convenient approximation.

Mathematical descriptions of the electromagnetic field Formulations of electromagnetism

There are various mathematical descriptions of the electromagnetic field that are used in the study of electromagnetism, one of the four fundamental interactions of nature. In this article, several approaches are discussed, although the equations are in terms of electric and magnetic fields, potentials, and charges with currents, generally speaking.

A ratio distribution is a probability distribution constructed as the distribution of the ratio of random variables having two other known distributions. Given two random variables X and Y, the distribution of the random variable Z that is formed as the ratio Z = X/Y is a ratio distribution.

Normal-inverse-gamma distribution

In probability theory and statistics, the normal-inverse-gamma distribution is a four-parameter family of multivariate continuous probability distributions. It is the conjugate prior of a normal distribution with unknown mean and variance.

Geodesics on an ellipsoid Shortest paths on a bounded deformed sphere-like quadric surface

The study of geodesics on an ellipsoid arose in connection with geodesy specifically with the solution of triangulation networks. The figure of the Earth is well approximated by an oblate ellipsoid, a slightly flattened sphere. A geodesic is the shortest path between two points on a curved surface, analogous to a straight line on a plane surface. The solution of a triangulation network on an ellipsoid is therefore a set of exercises in spheroidal trigonometry.

Trochoidal wave Exact solution of the Euler equations for periodic surface gravity waves

In fluid dynamics, a trochoidal wave or Gerstner wave is an exact solution of the Euler equations for periodic surface gravity waves. It describes a progressive wave of permanent form on the surface of an incompressible fluid of infinite depth. The free surface of this wave solution is an inverted (upside-down) trochoid – with sharper crests and flat troughs. This wave solution was discovered by Gerstner in 1802, and rediscovered independently by Rankine in 1863.

The Fokas method, or unified transform, is an algorithmic procedure for analysing boundary value problems for linear partial differential equations and for an important class of nonlinear PDEs belonging to the so-called integrable systems. It is named after Greek mathematician Athanassios S. Fokas.

In fluid dynamics, stagnation point flow represents the flow of a fluid in the immediate neighborhood of a stagnation point with which the stagnation point is identified for a potential flow or inviscid flow. The flow specifically considers a class of stagnation points known as saddle points where the incoming streamlines gets deflected and directed outwards in a different direction; the streamline deflections are guided by separatrices. The flow in the neighborhood of the stagnation point or line can generally be described using potential flow theory, although viscous effects cannot be neglected if the stagnation point lies on a solid surface.

In number theory, specifically in Diophantine approximation theory, the Markov constant of an irrational number is the factor for which Dirichlet's approximation theorem can be improved for .

References

  1. Alan F. Beardon, Iteration of Rational Functions, Springer 1991, ISBN   0-387-95151-2, p. 41
  2. Alan F. Beardon, Iteration of Rational Functions, Springer 1991, ISBN   0-387-95151-2, page 99
  3. Some Julia sets by Michael Becker
  4. On the regular leaf space of the cauliflower by Tomoki Kawahira Source: Kodai Math. J. Volume 26, Number 2 (2003), 167-178. Archived 2011-07-17 at the Wayback Machine
  5. Periodic attractor by Evgeny Demidov Archived 2008-05-11 at the Wayback Machine
  6. R L Devaney, L Keen (Editor): Chaos and Fractals: The Mathematics Behind the Computer Graphics. Publisher: Amer Mathematical Society July 1989, ISBN   0-8218-0137-6 , ISBN   978-0-8218-0137-6
  7. Period 2 orbit by Evgeny Demidov Archived 2008-05-11 at the Wayback Machine
  8. Gvozden Rukavina : Quadratic recurrence equations - exact explicit solution of period four fixed points functions in bifurcation diagram

Further reading