# Solve for A matrix in Ax = 0

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Mainak Dhar on 22 Feb 2024
Commented: Mainak Dhar on 22 Feb 2024
Hi,
I want to solve for a n x n matrix A when I know the n x 1 vector x and the system of linear equations is Ax = 0. The linear constraints I have on solving it is that each column should sum to 0 and I also know the diagonal elements of the A matrix. The matrix A is also tridiagonal, so the only non-zero elements are the ones on the main diagonal and the diagonals above and below it.
I can solve it by hand but unsure about how to do it using MATLAB. I assumed lsqlin would be able to do it but it seems like it only solves for the x vector.
Any ideas will be greatly appreciated. Thanks in advance.
Torsten on 22 Feb 2024
You have 2*n equations for 2*(n-1) degrees of freedom. So usually, your problem will not have a solution.

Matt J on 22 Feb 2024
Edited: Matt J on 22 Feb 2024
n=numel(x);
A=optimvar('A',[n,n]);
prob = eqnproblem;
prob.Equations.eqn1=sum(A,1)==0; %known column sums
prob.Equations.eqn4=A*x==0; %A*x==0
[sol,fval,exitflag] = solve(prob);
Matt J on 22 Feb 2024
Yep, you're right.
Mainak Dhar on 22 Feb 2024
Thanks all, for the explanations and the solutions. I'm sure I'm framing the question wrong but I can't figure out what. I believe I'll be able to solve it from here by putting in a little work. Much appreciated.

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