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Diagonalizability

When a similarity class contains a diagonal matrix, and how having a basis made of eigenvectors is exactly what makes that representation possible.

Linear Algebra, Diagonalizability

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15 exercises

Exercise 1

Repeat Example 2.5 for the matrix from Example 2.2.

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Exercise 2

Diagonalize this matrix by following the steps of Example 2.5.

  • Set up the matrix-vector equation described in Lemma 2.4 and rewrite it as a linear system.

  • By considering solutions for that system, find two vectors to make a basis. (Consider separately the system in the x=0x=0 and x≠0x\neq 0 cases. Also, recall that the zero vector cannot be a member of a basis.)

  • Use that basis in the similarity diagram t…

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Exercise 3

Follow Example 2.5 to diagonalize this matrix.

  • Set up the matrix-vector equation and rewrite it as a linear system.

  • By considering solutions for that system, find two vectors to make a basis. (Consider separately the x=0x=0 and x≠0x\neq 0 cases. Also, recall that the zero vector cannot be a member of a basis.)

  • With that basis use the similarity diagram to get the diagonalization as the product of three m…

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Exercise 4

Diagonalize these upper triangular matrices.

  • (a)  (−2102)\begin{pmatrix}-2&1\\ 0&2\end{pmatrix}     (b)  (5401)\begin{pmatrix}5&4\\ 0&1\end{pmatrix}

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Exercise 5

If we try to diagonalize the matrix of Example 2.3

using the method of Example 2.5 then what goes wrong?

  • Draw the similarity diagram with NN.

  • Set up the matrix-vector equation described in Lemma 2.4 and rewrite it as a linear system.

  • By considering solutions for that system, find the trouble. (Consider separately the x=0x=0 and x≠0x\neq 0 cases.)

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Exercise 6

What form do the powers of a diagonal matrix have?

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Exercise 7

Give two same-sized diagonal matrices that are not similar. Must any two different diagonal matrices come from different similarity classes?

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Exercise 8

Give a nonsingular diagonal matrix. Can a diagonal matrix ever be singular?

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Exercise 9

Show that the inverse of a diagonal matrix is the diagonal of the inverses, if no element on that diagonal is zero. What happens when a diagonal entry is zero?

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Exercise 10

The equation ending Example 2.5

is a bit jarring because for PP we must take the first matrix, which is shown as an inverse, and for P−1P^{-1} we take the inverse of the first matrix, so that the two −1-1 powers cancel and this matrix is shown without a superscript −1-1.

  • Check that this nicer-appearing equation holds.

  • Is the previous item a coincidence? Or can we always switch the PP and the P−1P^{-1}?

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Exercise 11

Show that the PP used to diagonalize in Example 2.5 is not unique.

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Exercise 12

Find a formula for the powers of this matrix. Hint: see Exercise 6.

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Exercise 13

We can ask how diagonalization interacts with the matrix operations. Assume that t,s ⁣:V→Vt,s\colon V\to V are each diagonalizable. Is ctct diagonalizable for all scalars cc? What about t+st+s? t∘st\mathbin{\circ}s?

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Exercise 14

Show that matrices of this form are not diagonalizable.

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Exercise 15

Show that each of these is diagonalizable.

  • (a)  (1221)\begin{pmatrix}1&2\\ 2&1\end{pmatrix}     (b)  (xyyz)x,y,z scalars\begin{pmatrix}x&y\\ y&z\end{pmatrix}\qquad\text{$x,y,z$ scalars}

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Adapted from Linear Algebra © 2016 Jim Hefferon. Licensed under CC BY-SA 3.0 US. Source: Linear Algebra. Imported at revision df2262e.