In linear algebra, the cofactor (sometimes called adjunct) describes a particular construction that is useful for calculating both the determinant and inverse of square matrices. Specifically the cofactor of the entry of a matrix, also known as the 'cofactor of that matrix', is the signed minor of that entry.Source: Boundless. "Cofactors, Minors, and Further Determinants." Boundless Algebra. Boundless, 06 Jul. 2016. Retrieved 27 Jul.
(I-A)-1 is the Leontief inverse matrix of matrix A (nxn; non-singular).
That is called an inverse matrix
To find the inverse of a matrix on a Casio fx-991MS scientific calculator, you first need to input the matrix you want to find the inverse of. Then, press the "SHIFT" button followed by the "MODE" button to access the matrix mode. Select the matrix you want to invert by pressing the corresponding number key. Next, press the "SHIFT" button followed by the "MATRIX" button, and then press the "x^-1" button to calculate the inverse of the matrix.
The inverse of a 2x2 matrix:[a b][c d]is given by__1___[d -b]ad - bc [-c a]ad - bc is the determinant of the matrix; if this is 0 the matrix has no inverse.The inverse of a 2x2 matrix is also a 2x2 matrix.The browser used here is not really suitable to give details of the inverse of a general matrix.Non-singular square matrices have inverses and they can always be found. Singular, or non-square matrices do not have a proper inverses but canonical inverses for these do exist.
A rectangular (non-square) matrix.
In linear algebra, a skew-symmetric matrix is a square matrix .....'A'
The first study of matrix algebra happened when Hermann Grassmann published "Theory of Extension" in 1844. In 1848, James Sylvester coined the term matrix while studying linear algebra.
A matrix is a rectangular array of elements - usually numbers. These, together with rules governing their addition and multiplication make up matrix algebra or system.
In linear algebra, the cofactor (sometimes called adjunct) describes a particular construction that is useful for calculating both the determinant and inverse of square matrices. Specifically the cofactor of the entry of a matrix, also known as the 'cofactor of that matrix', is the signed minor of that entry.Source: Boundless. "Cofactors, Minors, and Further Determinants." Boundless Algebra. Boundless, 06 Jul. 2016. Retrieved 27 Jul.
Many problems in economics can be modelled by a system of linear equations: equalities r inequalities. Such systems are best solved using matrix algebra.
It may or may not exist. If the matrix of coefficients is singular then there is no solution.
In the context of matrix algebra there are more operations that one can perform on a square matrix. For example you can talk about the inverse of a square matrix (or at least some square matrices) but not for non-square matrices.
(I-A)-1 is the Leontief inverse matrix of matrix A (nxn; non-singular).
Consider the linear system of equations AX = YwhereX is a n x 1 matrix of variables,Y is a n x 1 matrix of constants, andA is an n x n matrix of coefficients.Provided A is not a singular matrix, A has an inverse, A-1, an n x n matrix.Premultiplying by A-1 gives A-1AX = A-1Y or X = A-1Y, the solution to the linear system.
The determinant of test is usually a scalar quantity. The determinant of a matrix is used to test whether a given matrix has an inverse or not. It is used to test for the linear dependence of the vectors.
Let A by an nxn non-singular matrix, then A-1 is the inverse of A. Now (A-1 )-1 =A So the answer is yes.