Nonlinear Dynamics and Chaos
Nonlinear Dynamics and Chaos
2nd Edition
ISBN: 9780429972195
Author: Steven H. Strogatz
Publisher: Taylor & Francis
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Chapter 11.5, Problem 1E
Interpretation Introduction

Interpretation:

To write the program to compute the correlation dimension of the Lorenz attractor. Reproduce the results in Figure 11.5.3; then try other values of r, and check how dimension depends on r.

Concept Introduction:

An attractor that come out in a simplified system of equations which describes two-dimensional fluid flow of uniform depth is known as Lorenz attractor.

It is a system of ordinary differential equation.

Expert Solution & Answer
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Answer to Problem 1E

Solution:

The Matlab program is written to compute the correlation dimension of the Lorenz attractor.

The slope of the second figure depends on the value of correlation; hence, the dimension depends on r.

Explanation of Solution

Using Matlab, we can write a program to compute the correlation dimension of the Lorenz attractor.

function loren3clear;clfglobal A B RA=10;B=8/3;R=28;u0=100*(rand(3,1)-0.5);[t,u]=ode45(@lor2,[0,100],u0);N=find(t>10);v=u(N,:);x=v(:,1);y=v(:,2);z=v(:,3);plot3(x,y,z);view(158,14)function uprime=lor2(t,u)global A B Ruprime=zeros(3,1);uprime(1)=-A*u(1)+A*u(2);uprime(2)=R*u(1)-u(2)-u(1)*u(3);uprime(3)=-B*u(3)+u(1)*u(2);

By running the above Matlab code, we get the Lorenz attractor correlation as below:

Nonlinear Dynamics and Chaos, Chapter 11.5, Problem 1E , additional homework tip  1

This is the correlation dimension of Lorenz attractor.

Now consider the slope to be dcorr=2.05 and intersection c = -23.

Now use the below Matlab code to reproduce the figure 11.5.3.

d=2.05;c=-23;x=0:15;plot(x,d*x+c);

Nonlinear Dynamics and Chaos, Chapter 11.5, Problem 1E , additional homework tip  2

Hence, this is the required curve.

The slope of the above figure depends on the value of correlation; hence, the dimension depends on r.

Conclusion

The correlation dimension of the Lorenz attractor is computed. The slope of the figure depends on the value of correlation; hence, dimension depends on r.

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