Back to Orthogonal complements and the matrix transpose

Activity 6.2.4

Avg difficulty 2.5

In Sage, the transpose of a matrix A is given by A.T. Define the matrices A=[10−32−21],B=[3−41012],C=[10−32−21320].A = \begin{bmatrix} 1 & 0 & -3 \\ 2 & -2 & 1 \\ \end{bmatrix}, \hspace{6pt} B = \begin{bmatrix} 3 & -4 & 1 \\ 0 & 1 & 2 \\ \end{bmatrix}, \hspace{6pt} C= \begin{bmatrix} 1 & 0 & -3 \\ 2 & -2 & 1 \\ 3 & 2 & 0 \\ \end{bmatrix}\text{.}

  1. Evaluate (A+B)T(A+B)^T and AT+BTA^T+B^T. What do you notice about the relationship between these two matrices?

  2. What happens if you transpose a matrix twice; that is, what is (AT)T(A^T)^T?

  3. Find det⁡(C)\det(C) and det⁡(CT)\det(C^T). What do you notice about the relationship between these determinants?

    1. Find the product ACAC and its transpose (AC)T(AC)^T.

    2. Is it possible to compute the product ATCTA^TC^T? Explain why or why not.

    3. Find the product CTATC^TA^T and compare it to (AC)T(AC)^T. What do you notice about the relationship between these two matrices?

  4. What is the transpose of the identity matrix II?

  5. If a square matrix DD is invertible, explain why you can guarantee that DTD^T is invertible and why (DT)−1=(D−1)T(D^T)^{-1} = (D^{-1})^T.

Austin, Understanding Linear Algebra, §6.2 Orthogonal complements and the matrix transpose, Activity 6.2.4

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Adapted from Understanding Linear Algebra © 2023 David Austin. Licensed under CC BY 4.0. Source: Understanding Linear Algebra. Imported at revision 3e6dced.