Back to Invertibility

Exercise 3

Avg difficulty 2.5

Inverses for certain types of matrices can be found in a relatively straightforward fashion.

  1. The matrix D=[2000−1000−4]D=\begin{bmatrix} 2 & 0 & 0 \\ 0 & -1 & 0 \\ 0 & 0 & -4 \\ \end{bmatrix} is called diagonal since the only nonzero entries are on the diagonal of the matrix.

    1. Find D−1D^{-1} by augmenting DD by the identity and finding its reduced row echelon form.

    2. Under what conditions is a diagonal matrix invertible?

    3. Explain why the inverse of a diagonal matrix is also diagonal and explain the relationship between the diagonal entries in DD and D−1D^{-1}.

  2. Consider the lower triangular matrix L=[100−2103−41]L = \begin{bmatrix} 1 & 0 & 0 \\ -2 & 1 & 0 \\ 3 & -4 & 1 \\ \end{bmatrix}.

    1. Find L−1L^{-1} by augmenting LL by the identity and finding its reduced row echelon form.

    2. Explain why the inverse of a lower triangular matrix is also lower triangular.

Austin, Understanding Linear Algebra, §3.1 Invertibility, Exercise 3

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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.