DETERMINANT MEANING CHARACTERISTICS

Gyana
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 "A numerical value obtained from a square matrix of the coefficients of unknown variables enclosed by two bars by the process of diagonal expansion to tell upon a given algebraic system."

System of Equations: The determinant can be used to determine whether a system of linear equations has a unique solution, no solution, or infinitely many solutions. If the determinant is zero, the matrix is singular, meaning the system has no unique solution.

Inversion of Matrices: A non-zero determinant is a necessary condition for a square matrix to have an inverse. If the determinant is zero, the matrix is non-invertible.

Characteristics of Determinants:

Uniqueness: The determinant is uniquely defined for any square matrix, and it remains consistent regardless of the method used to calculate it.

Linear Property: The determinant is linear in each row and each column separately. This means that if you multiply one row (or column) by a scalar, the determinant is multiplied by that scalar.

Row or Column Interchange: If two rows (or two columns) of a matrix are swapped, the determinant of the matrix changes its sign.

Additive Property: The determinant of the sum of two matrices is not equal to the sum of their determinants. However, if you add a multiple of one row (or column) to another row (or column), the determinant remains unchanged.

Triangular Matrix: The determinant of a triangular matrix (upper or lower triangular) is the product of the elements on the main diagonal.

Zero Determinant: If a matrix has a row or column of zeros, or if any two rows or columns are identical, the determinant is zero.

Multiplicative Property: The determinant of the product of two matrices is the product of their determinants, i.e., det(AB) = det(A) * det(B).

Cofactor Expansion: The determinant of a matrix can be calculated using cofactor expansion along any row or column, which expresses the determinant as a sum of products involving minors and cofactors.

Cofactor of an element is the product of (-1)^i+j and the minor of concerned element.

Minor of an element of a determinant is the subsquare determinant of the given determinant along which the particular element does not exist.

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