Reputation: 315
I am making the Gauss-Jordan method in matlab and I want to plot these equations
x + y + 4*z = -1
-2*x – y + z= -5
3*x-2*y+3*z=-4
To see in what point of the graph they intersect, but I do not know how to plot in matlab
Upvotes: 0
Views: 901
Reputation: 13945
Is this what you are looking for?
clc
clear
close all
%// Generate x and y values to plot from.
[x,y] = meshgrid(linspace(0,10,100),linspace(0,10,100));
%// Get equation for plane; i.e. z position
z1 = 0.25.*(-1-x-y);
z2 = -5+y+2*x;
z3 = (-4-3.*x+2.*y)./3;
%// Use surf to generate surface plots
figure;
surf(x,y,z1,'linestyle','none','facealpha',0.4)
hold on
surf(x,y,z2,'linestyle','none','facealpha',0.4)
surf(x,y,z3,'linestyle','none','facealpha',0.4)
hold off
%// Use to manually rotate the plot
rotate3d on
Which gives this:
You can play around with the 'FaceAlpha' property of course to make things clearer. Have a look at the surf function for more options.
EDIT: Alternatively to @rayryeng solution to solve for x,y and z you can use mldivide:
A = [1 1 4;-2 -1 1;3 -2 3];
B = [-1;-5;-4];
X = mldivide(A,B)
X =
1.0000
2.0000
-1.0000
Upvotes: 3
Reputation: 104504
Though this is not plotting, perhaps this is also something you can use. If you want to determine the simultaneous solution to those equations, consider using solve
syms x y z
A = solve('x + y + 4*z == -1', '-2*x - y + z == -5', '3*x - 2*y + 3*z == -4')
disp([A.x A.y A.z]);
[ 1, 2, -1]
This will check to see whether your Gauss-Jordan elimination is correct. If you don't like using solve
, you can use linear algebra to help you solve this for you. Simply place your coefficients for your system in a matrix and vector, then find the inverse of the matrix and multiply by the vector.
A = [1 1 4; -2 -1 1; 3 -2 3];
b = [-1;-5;-4];
x = A \ b
x =
1.0000
2.0000
-1.0000
... and even another method is to use rref
to reduce your system into row-reduced echelon form. This would be the result after you successfully apply Gauss-Jordan elimination to your linear system. As such:
A = [1 1 4; -2 -1 1; 3 -2 3];
b = [-1;-5;-4];
rref([A b])
ans =
1 0 0 1
0 1 0 2
0 0 1 -1
Reading the above answer, x = 1
, y = 2
, z = -1
. This represents the augmented system where the first 3 columns denote the coefficients of your system and the fourth column denotes the right hand side of your linear system of equations.
Upvotes: 2
Reputation: 4311
Here is how i would plot those planes.
The 4-th argument of surf
lets you specify the color.
% // create function handles of form z = f(x,y)
f1 = @(X,Y) 1/4*(-1 - X -Y);
f2 = @(X,Y) -5 + 2*X + Y;
f3 = @(X,Y) 1/3*(-4 -3*X + 2*Y);
% // create a 2d-grid to plot the functions over
x = linspace(-5, 5, 10);
y = linspace(-10, 10, 20);
[X,Y] = meshgrid(x,y);
% // plot the planes in different colors (4th argument) and without edges
figure
surf(X, Y, f1(X,Y), ones(size(f1(X,Y))), 'EdgeColor', 'None');
hold on
surf(X, Y, f2(X,Y), ones(size(f2(X,Y)))*2, 'EdgeColor', 'None');
surf(X, Y, f3(X,Y), ones(size(f3(X,Y)))*3, 'EdgeColor', 'None');
legend('plane1', 'plane2', 'plane3')
xlabel('x'), ylabel('y'), zlabel('z')
Upvotes: 2