How to generate a random irreducible matrix

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Indi_u
Indi_u on 19 Jan 2016
Answered: BhaTTa on 25 Jul 2024
Hi,
I want to generate an mxn irreducible column reduced matrix. Is there any easy way to obtain this?
Thanks!

Answers (1)

BhaTTa
BhaTTa on 25 Jul 2024
Generating an ( m \times n ) irreducible column-reduced matrix can be achieved using MATLAB. An irreducible column-reduced matrix is one where no column can be written as a linear combination of other columns, and the matrix is in reduced column echelon form.
Here's a step-by-step guide to generate such a matrix:
  1. Generate a random ( m \times n ) matrix.
  2. Perform column reduction to bring it to reduced column echelon form.
  3. Ensure the matrix is irreducible (i.e., no column is a linear combination of others).
Below is a MATLAB code snippet to generate an ( m \times n ) irreducible column-reduced matrix:
function A = generateIrreducibleColumnReducedMatrix(m, n)
% Generate a random m x n matrix
A = rand(m, n);
% Perform column reduction to bring it to reduced column echelon form
A = rref(A);
% Ensure the matrix is irreducible
while rank(A) < n
% If the rank is less than n, regenerate the matrix
A = rand(m, n);
A = rref(A);
end
end
% Example usage
m = 4; % Number of rows
n = 3; % Number of columns
A = generateIrreducibleColumnReducedMatrix(m, n);
disp('Generated irreducible column-reduced matrix:');
disp(A);
Note
  • The above code ensures the matrix is irreducible by checking the rank and regenerating the matrix if necessary.
  • For large values of ( m ) and ( n ), this method might require more iterations to find a suitable matrix.

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