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d = det(X)
d = det(X) returns the determinant of the square matrix X.
Testing singularity using abs(det(X)) <= tolerance is not recommended as it is difficult to choose the correct tolerance. The function cond(X) can check for singular and nearly singular matrices.
The determinant is computed from the triangular factors obtained by Gaussian elimination
[L,U] = lu(A) s = det(L) % This is always +1 or -1 det(A) = s*prod(diag(U))
The statement A = [1 2 3; 4 5 6; 7 8 9]
produces
A =
1 2 3
4 5 6
7 8 9This happens to be a singular matrix, so det(A) produces a very small number. Changing A(3,3) with A(3,3) = 0 turns A into a nonsingular matrix. Now d = det(A) produces d = 27.
Arithmetic Operators \,/ | cond | condest | inv | lu | mldivide | rref

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