Warning: Matrix is singular to working precision.

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My full script :
x = -10:0.5:10;
y = x;
[X,Y] = meshgrid(x);
f1 = X.^2 - Y.^2;
f2 = X.*Y.*((X.^2 - Y.^2) / (X.^2 + Y.^2));
subplot(1,2,1), surf(X,Y,f1)
xlabel('x')
ylabel('y')
zlabel('z')
subplot(1,2,2), surf(X,Y,f2)
xlabel('x')
ylabel('y')
zlabel('z')
When I run the script the first plot works fine but the second plots nothing as all entries of f2 are NaN.
I understand that this error occurs when you attempt to take the inverse of a matrix that is singular, however I'm failing to see where the code is trying to take the inverse? Additionally these functions f1, f2 were given to me in an assignment, presumably functions that would not give this result when used correctly. With the requirements of "using a resolution of at least 0.5 between points, from -10 to 10." giving the meshgrid specifications. If someone can see why this doesn't work or a workaround it would be much appreciated!

Accepted Answer

Arthur Roué
Arthur Roué on 16 Sep 2020
Edited: Arthur Roué on 16 Sep 2020
The operator to inverse a matrix is inv.
If you want to divide your matrices element wise, you have to add a "." in front of "/"
% Before
f2 = X.*Y.*((X.^2 - Y.^2) / (X.^2 + Y.^2));
% After
f2 = X.*Y.*((X.^2 - Y.^2) ./ (X.^2 + Y.^2));
EDIT : correction thanks to @Stephen Cobeldick's comment
  2 Comments
Stephen23
Stephen23 on 16 Sep 2020
" The operator to inverse a matrix is backslash..."
The operator to invert a square matrix is inv. Backslash (actually mldivide) solves systems of equations.
"...inv(A)*b is equivalent to A\b."
mldivide and mrdivide are more efficient and accurate at solving systems of equations:
Kyle Greenwood
Kyle Greenwood on 17 Sep 2020
Seems so obvious now, thank you for solving my madness

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