Understanding Matrix Properties
Determinant
The determinant of a matrix is a very important concept in linear algebra. The determinant of a matrix, A, is usually written as either |A| or det(A). It is a scalar value for any matrix. If the matrix represents a linear transformation it gives the corresponding scale factor and any orientation change.
There are many methods to calculate the determinant of a matrix, including Gaussian elimination and by decomposition methods such as LU, QR or Cholesky. This website uses the Laplace expansion which calculates the determinant recursively from the determinant of its minor matrices.
Inverse
The inverse of a matrix is another matrix of the same size that it multiplies with to give the identity matrix. If a matrix has a determinant of 0 it is not invertible.
Trace
The trace is the sum of all the values on the main diagonal of a matrix. It is equal to the sum of the eigenvalues of a vector.
Cofactor
The cofactor matrix, C, is calculated by setting Cij=(-1)i+j|Mij|, where Mij is the minor matrix. The minor matrix is formed by removing the row and column.
The cofactor matrix is the transpose of the adjugate matrix.