![]() | This article may be too technical for most readers to understand.(June 2016) |
In physics and mathematics, the Ikeda map is a discrete-time dynamical system given by the complex map
The original map was proposed first by Kensuke Ikeda as a model of light going around across a nonlinear optical resonator (ring cavity containing a nonlinear dielectric medium) in a more general form. It is reduced to the above simplified "normal" form by Ikeda, Daido and Akimoto [1] [2] stands for the electric field inside the resonator at the n-th step of rotation in the resonator, and and are parameters which indicate laser light applied from the outside, and linear phase across the resonator, respectively. In particular the parameter is called dissipation parameter characterizing the loss of resonator, and in the limit of the Ikeda map becomes a conservative map.
The original Ikeda map is often used in another modified form in order to take the saturation effect of nonlinear dielectric medium into account:
A 2D real example of the above form is:
where u is a parameter and
For , this system has a chaotic attractor.
This animation shows how the attractor of the system changes as the parameter is varied from 0.0 to 1.0 in steps of 0.01. The Ikeda dynamical system is simulated for 500 steps, starting from 20000 randomly placed starting points. The last 20 points of each trajectory are plotted to depict the attractor. Note the bifurcation of attractor points as is increased.
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The plots below show trajectories of 200 random points for various values of . The inset plot on the left shows an estimate of the attractor while the inset on the right shows a zoomed in view of the main trajectory plot.
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The Octave/MATLAB code to generate these plots is given below:
% u = ikeda parameter% option = what to plot% 'trajectory' - plot trajectory of random starting points% 'limit' - plot the last few iterations of random starting pointsfunctionikeda(u, option)P=200;% how many starting pointsN=1000;% how many iterationsNlimit=20;% plot these many last points for 'limit' optionx=randn(1,P)*10;% the random starting pointsy=randn(1,P)*10;forn=1:P,X=compute_ikeda_trajectory(u,x(n),y(n),N);switchoptioncase'trajectory'% plot the trajectories of a bunch of pointsplot_ikeda_trajectory(X);holdon;case'limit'plot_limit(X,Nlimit);holdon;otherwisedisp('Not implemented');endendaxistight;axisequaltext(-25,-15,['u = 'num2str(u)]);text(-25,-18,['N = 'num2str(N)' iterations']);end% Plot the last n points of the curve - to see end point or limit cyclefunctionplot_limit(X, n)plot(X(end-n:end,1),X(end-n:end,2),'ko');end% Plot the whole trajectoryfunctionplot_ikeda_trajectory(X)plot(X(:,1),X(:,2),'k');% hold on; plot(X(1,1), X(1,2), 'bo', 'markerfacecolor', 'g'); hold offend% u is the ikeda parameter% x,y is the starting point% N is the number of iterationsfunction[X]=compute_ikeda_trajectory(u, x, y, N)X=zeros(N,2);X(1,:)=[xy];forn=2:Nt=0.4-6/(1+x^2+y^2);x1=1+u*(x*cos(t)-y*sin(t));y1=u*(x*sin(t)+y*cos(t));x=x1;y=y1;X(n,:)=[xy];endend
importmathimportmatplotlib.pyplotaspltimportnumpyasnpdefmain(u:float,points=200,iterations=1000,nlim=20,limit=False,title=True):""" Args: u:float ikeda parameter points:int number of starting points iterations:int number of iterations nlim:int plot these many last points for 'limit' option. Will plot all points if set to zero limit:bool plot the last few iterations of random starting points if True. Else Plot trajectories. title:[str, NoneType] display the name of the plot if the value is affirmative """x=10*np.random.randn(points,1)y=10*np.random.randn(points,1)forninrange(points):X=compute_ikeda_trajectory(u,x[n][0],y[n][0],iterations)iflimit:plot_limit(X,nlim)tx,ty=2.5,-1.8else:plot_ikeda_trajectory(X)tx,ty=-30,-26plt.title(f"Ikeda Map ({u=:.2g}, {iterations=})")iftitleelseNonereturnpltdefcompute_ikeda_trajectory(u:float,x:float,y:float,N:int):"""Calculate a full trajectory Args: u - is the ikeda parameter x, y - coordinates of the starting point N - the number of iterations Returns: An array. """X=np.zeros((N,2))forninrange(N):X[n]=np.array((x,y))t=0.4-6/(1+x**2+y**2)x1=1+u*(x*math.cos(t)-y*math.sin(t))y1=u*(x*math.sin(t)+y*math.cos(t))x=x1y=y1returnXdefplot_limit(X,n:int)->None:""" Plot the last n points of the curve - to see end point or limit cycle Args: X: np.array trajectory of an associated starting-point n: int number of "last" points to plot """plt.plot(X[-n:,0],X[-n:,1],'ko')defplot_ikeda_trajectory(X)->None:""" Plot the whole trajectory Args: X: np.array trajectory of an associated starting-point """plt.plot(X[:,0],X[:,1],"k")if__name__=="__main__":main(0.9,limit=True,nlim=0).show()
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