Back to Diagonalization, similarity, and powers of a matrix

Activity 4.3.4

Avg difficulty 2.5
  1. Let's begin with the diagonal matrix D=[200−1]D = \left[\begin{array}{rr} 2 & 0 \\ 0 & -1 \\ \end{array}\right]. Find the powers D2D^2, D3D^3, and D4D^4. What is DkD^k for a general value of kk?

  2. Suppose that AA is a matrix with eigenvector v\vvec and associated eigenvalue λ\lambda; that is, Av=λvA\vvec = \lambda\vvec. By considering A2vA^2\vvec, explain why v\vvec is also an eigenvector of A2A^2 with eigenvalue λ2\lambda^2.

  3. Suppose that A=PDP−1A= PDP^{-1} where D=[200−1]D = \left[\begin{array}{rr} 2 & 0 \\ 0 & -1 \\ \end{array}\right]. Remembering that the columns of PP are eigenvectors of AA, explain why A2A^2 is diagonalizable and find a diagonalization in terms of PP and DD.

  4. Give another explanation of the diagonalizability of A2A^2 by writing A2=(PDP−1)(PDP−1)=PD(P−1P)DP−1A^2 = (PDP^{-1})(PDP^{-1}) = PD(P^{-1}P)DP^{-1}.

  5. In the same way, find a diagonalization of A3A^3, A4A^4, and AkA^k.

  6. Suppose that AA is a diagonalizable 2×22\times2 matrix with eigenvalues λ1=0.5\lambda_1 = 0.5 and λ2=0.1\lambda_2=0.1. What happens to AkA^k as kk becomes very large?

Austin, Understanding Linear Algebra, §4.3 Diagonalization, similarity, and powers of a matrix, Activity 4.3.4

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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.