The identity matrix that results will be the same size as matrix A. ![]() The inverse of a square matrix A, denoted by A-1, is the matrix so that the product of A and A-1 is the identity matrix. That is, a vector is a matrix with one row, or one column, depending on the orientation. Scalars and vectors are all just special cases of a matrix. The inverse is not defined whenever the determinant of the matrix equals zero. Since division by zero is not allowed, the determinant of the matrix cannot be zero. The inverse of a 1×1 matrix is simply the reciprical of the single entry in the matrix eg. ![]() The main diagonal of a matrix consists of the elements whose row and column indices are the same. If the number of rows of a matrix is the same as the number of its columns, then it is a square matrix. READ: What is the main disadvantage of using maglev trains for transportation? Is 1×1 a square matrix?Ī 1×1 matrix is a scalar.
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