Solving a system of linear equations getting the matrix

Hello,
I have a system of linear equation of this shape {Z}=[A_1]{X}+[A_2]{Y}, where Y has different variables (in the example there are 2, but might arrive at 6 in the future) and they are polynomials of grade n=6 (in the example I limit to 2).
example:
z_1=A_0+A_1*x_1+A_2*x_1^2+A_3*y_1+A_4*y_1^2
z_2=A_0+A_1*x_2+A_2*x_2^2+A_3*y_2+A_4*y_2^2
z_3=A_0+A_1*x_3+A_2*x_3^2+A_3*y_3+A_4*y_3^2
z_4=A_0+A_1*x_4+A_2*x_4^2+A_3*y_4+A_4*y_4^2
z_5=A_0+A_1*x_5+A_2*x_5^2+A_3*y_5+A_4*y_5^2
I put the combination of polynomials together. I want to calculate the coefficients A_i, since I know x_i, y_i and z_i.
Is there a function or a straightforward manner to calculate or do you have any suggestion how to approach it?
Thank you Antonio

 Akzeptierte Antwort

Andrew Newell
Andrew Newell am 13 Mai 2011
I'll give you a hint: if you have a problem that can be formulated A*x = b, where A is a matrix and x,b are vectors, then you can solve for x using
x = A\b
EDIT: O. k., next hint: Ignore my symbol names, focus on which are vectors, e.g., x = [A_0; A_1; A_2; A_3; A_4].
EDIT 2: Here is how you do it:
b = [z_1; z_2; z_3; z_4; z_5]; % or b = [z_1 z_2 z_3 z_4 z_5]';
vx = [x_1; x_2; x_3; x_4; x_5];
vy = [y_1; y_2; y_3; y_4; y_5];
A = [ones(size(vx)) vx vx.^2 vy vy.^2];
x = A\b;
A_0 = x(1); A_1=x(2); %etc.
I strongly recommend that you work through some of the introductory material, for example Matrices and Arrays. MATLAB was originally built to handle stuff like this, and it is designed to make it easy.

3 Kommentare

So for finding A I should do b/x? I don't think it would woek, unless I tell to the code that all the columns are equal along the rows...
So you suggest to define x as the matrix of coefficients and actually the coefficients A_i as the unkown. Is there any function which solves it, like I saw linsolve, I'll try to use it, but this means that I have to define Y, and the x_i to a matrix. Is it what you mean?
I made some changes to the original system I put at the beginnning, but the sapproach is the same....

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