3d phase portrait
89 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
Aishah Malek
am 28 Aug. 2018
Kommentiert: Gulmira Tussupbekova
am 2 Apr. 2020
Hi, I want to plot a 3-d phase portrait for a set of 3 ODEs, i have used the following code and i get a basic plot, i was wondering how to add direction arrows and a mesh grid and why i only get single spirals for the trajectories. Here is the code i have used:
function f = cluster(t,y)
%BD
a=1;
b=1.2;
%equilibrium values
%c1 equilbrium value
f = zeros(size(y));
f(1) = -50*a*y(1)-b*y(1)+15*a*y(1)*y(2)+20*a*y(2)*y(3)+y(2)*b+9*a*y(2)^2+6*a*y(1)^2-60*a*y(2)-80*a*y(3)+24*a*y(2)*y(3)+16*a*y(3)^2;
f(2) = 10*a*y(1) - a*y(1)*y(2) -4*a*y(1)*y(3) -2*a*y(1)^2 -b*y(2) +3*a*y(2)^2 -10*a*y(2) +4*a*y(2)*y(3) +b*y(3);
f(3) = -2*a*y(1)*y(2) - 3*a*y(2)^2 -4*a*y(2)*y(3) +10*a*y(2)-b*y(3);
Plotting code:
[t,y] = ode45(@cluster,[0:0.01:1],[1 2 3]);
figure(1)
plot(t,y(:,3)); % plot of z(t) versus time
figure(2)
plot(t,y(:,1));
figure(3)
plot(y(:,1),y(:,3)); % plot of z versus x
figure(4)
plot3(y(:,1),y(:,2),y(:,3)); % 3D plot of trajectory
figure(5)
plot(y(:,1),y(:,2)); % plot of z versus x
figure(6)
plot(y(:,3),y(:,1));
I have computed the corresponding eigen values and vector points for specific equilbrium points in a separate file not sure if that will help?
2 Kommentare
Akshay Khadse
am 31 Aug. 2018
Bearbeitet: Akshay Khadse
am 31 Aug. 2018
Can you elaborate on what is the "f" in your code above? According to me, for a phase portrait, "f" should be the gradients. However, you are plotting the solution of the differential equations, hence the single spirals.
Akzeptierte Antwort
Akshay Khadse
am 31 Aug. 2018
Bearbeitet: Akshay Khadse
am 31 Aug. 2018
You can get 3D Phase Portraits by plotting the gradients against the co-ordinates using the " meshgrid ", and " quiver3 " functions.
" meshgrid " is used to generate the 2D or 3D grids and " quiver " or " quiver3 " is used to place arrows at these co-ordinates.
Creating meshgrid:
[x1,y1,z1] = meshgrid(-2:0.2:2,-2:0.2:2,-2:0.2:2);
u = zeros(size(x1));
v = zeros(size(y1));
w = zeros(size(z1));
Calculating gradients:
t=0;
for i = 1:numel(x1)
Yprime = cluster(t,[x1(i); y1(i); z1(i)]);
u(i) = Yprime(1);
v(i) = Yprime(2);
w(i) = Yprime(3);
end
Plotting:
quiver3(x1,y1,z1,u,v,w); figure(gcf)
Weitere Antworten (0)
Siehe auch
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!