Back to Determinants

Activity 3.4.4

Avg difficulty 2.5

We will explore cofactor expansions through some examples.

  1. Using a cofactor expansion, show that the determinant of the following matrix det⁡[20−1312−24−3]=−36\det \left[\begin{array}{rrr} 2 & 0 & -1 \\ 3 & 1 & 2 \\ -2 & 4 & -3 \\ \end{array}\right] = -36. Remember that you can choose any row or column to create the expansion, but the choice of a particular row or column may simplify the computation.

  2. Use a cofactor expansion to find the determinant of [−30004100−14−400323]\left[\begin{array}{rrrr} -3 & 0 & 0 & 0 \\ 4 & 1 & 0 & 0 \\ -1 & 4 & -4 & 0\\ 0 & 3 & 2 & 3 \\ \end{array}\right]. Explain how the cofactor expansion technique shows that the determinant of a triangular matrix is equal to the product of its diagonal entries.

  3. Use a cofactor expansion to determine whether the following vectors form a basis of R3\real^3: [2−1−2],[1−12],[10−4]\threevec{2}{-1}{-2}, \threevec{1}{-1}{2}, \threevec{1}{0}{-4}.

  4. Sage will compute the determinant of a matrix A with the command A.det(). Use Sage to find the determinant of the matrix [21−2−330−1−2−3412133−1]\left[\begin{array}{rrrr} 2 & 1 & -2 & -3 \\ 3 & 0 & -1 & -2 \\ -3 & 4 & 1 & 2\\ 1 & 3 & 3 & -1 \\ \end{array}\right].

Austin, Understanding Linear Algebra, §3.4 Determinants, Activity 3.4.4

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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.