the construction of matrices are hold on simultaneous equation that existed in linear stated.
for a simultaneous equation that have many variable, the more matrices row or column that will generated.
determinant is a special properties that only matrices possessed it. without determinant, it will be complicated to determine some matrice to be have inverse or otherwise.
determinant that we understand this day, are must be built form (fair and) square matrice. let we ask ourselves, is it impossible for matrices that did't have same row and column to have it (Determinant). we understand well the concept of polynomial, but we fail to adapt it in matrices. it is not compulsory to put x^3 that is coefficied(times) to scalar (number). then by the re-arrangement we will get the same column of matrices, and just put 0 0 0 0 in the row that are lack of be squared matrices.
determinant, is a degree of the intersection between line, field or perhaps space.
determinant is a sort of skewness degree on the geometry representation.
if the value of determinant become biggest, it is supposed to be that the correpondence matrices are sangat tidak parallel. instead, if the values are small, it seem that the simultaneous equation are getting parallel to each other.