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Exercise 10

Avg difficulty 2.5

In this section, we studied the effect of row operations on the matrix AA. In this exercise, we will study the effect of analogous column operations.

Suppose that AA is the 3×33\times3 matrix A=[v1v2v3]A= \left[\begin{array}{rrr} \vvec_1 & \vvec_2 & \vvec_3 \end{array}\right]. Also consider elementary matrices R=[100010−301],   S=[100030001],   P=[001010100]R = \left[\begin{array}{rrr} 1 & 0 & 0 \\ 0 & 1 & 0 \\ -3 & 0 & 1 \\ \end{array}\right],~~~ S = \left[\begin{array}{rrr} 1 & 0 & 0 \\ 0 & 3 & 0 \\ 0 & 0 & 1 \\ \end{array}\right],~~~ P = \left[\begin{array}{rrr} 0 & 0 & 1 \\ 0 & 1 & 0 \\ 1 & 0 & 0 \\ \end{array}\right].

  1. Explain why the matrix ARAR is obtained from AA by replacing the first column v1\vvec_1 by v1−3v3\vvec_1 - 3\vvec_3. We call this a column replacement operation. Explain why column replacement operations do not change the determinant.

  2. Explain why the matrix ASAS is obtained from AA by multiplying the second column by 33. Explain the effect that scaling a column has on the determinant of a matrix.

  3. Explain why the matrix APAP is obtained from AA by interchanging the first and third columns. What is the effect of this operation on the determinant?

  4. Use column operations to compute the determinant of A=[0−31114110]A=\left[\begin{array}{rrr} 0 & -3 & 1 \\ 1 & 1 & 4 \\ 1 & 1 & 0 \\ \end{array} \right].

Austin, Understanding Linear Algebra, §3.4 Determinants, Exercise 10

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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.