Matrix transpose

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Handout 9 More matrix properties; the transpose Square matrix properties These properties only apply to a square matrix, i.e. n × n. • The leading diagonal is the diagonal line consisting of the entries a 11 , a22 , a33 , . . . ann . • A diagonal matrix has zeros everywhere except the leading diagonal. • The identity matrix I has zeros off the leading diagonal, and 1 for each entry on the diagonal. It is a special case of a diagonal matrix, and A I = I A = A for any n × n matrix A. • An upper triangular matrix has all its non-zero entries on or above the leading diagonal. • A lower triangular matrix has all its non-zero entries on or below the leading diagonal. • A symmetric matrix has the same entries below and above the diagonal: a ij = aji for any values of i and j between 1 and n. • An antisymmetric or skew-symmetric matrix has the opposite entries below and above the diagonal: aij = −aji for any values of i and j between 1 and n. This automatically means the digaonal entries must all be zero. Transpose To transpose a matrix, we reflect it across the line given by the leading diagonal a 11 , a22 etc. In general the result is a different shape to the original matrix:   a11 a21 a11 a12 a13 [A ]ij = Aji . A =  a12 a22  A= a21 a22 a23 a13 a23 • If A is m × n then A is n × m. • The transpose of a symmetric matrix is itself: A = A (recalling that only square matrices can be symmetric). • For an antisymmetric matrix, A = −A. • The transpose of a product is (A B) = B A . • If you add a matrix and its transpose the result is symmetric. You can only do the addition if the matrix and its transpose are the same shape; so we need a square matrix for this. • If you subtract the transpose from the matrix the result is antisymmetric. • The transpose of a sum is the sum of the transposes (as you would expect): A + B • If we transpose twice we get back to where we started: (A ) = A. You can split a matrix into the sum of a symmetric and an antisymmetric matrix using the transpose: A = 1 (A + A ) + 1 (A − A ). 2 2 The first of these is symmetric and the second, antisymmetric. = (A + B) .

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