Diagonalizability
When a similarity class contains a diagonal matrix, and how having a basis made of eigenvectors is exactly what makes that representation possible.
15 exercises
Exercise 1
Repeat Example 2.5 for the matrix from Example 2.2.
Exercise 2
Diagonalize this matrix by following the steps of Example 2.5.
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Set up the matrix-vector equation described in Lemma 2.4 and rewrite it as a linear system.
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By considering solutions for that system, find two vectors to make a basis. (Consider separately the system in the and cases. Also, recall that the zero vector cannot be a member of a basis.)
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Use that basis in the similarity diagram t…
Exercise 3
Follow Example 2.5 to diagonalize this matrix.
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Set up the matrix-vector equation and rewrite it as a linear system.
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By considering solutions for that system, find two vectors to make a basis. (Consider separately the and cases. Also, recall that the zero vector cannot be a member of a basis.)
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With that basis use the similarity diagram to get the diagonalization as the product of three m…
Exercise 4
Diagonalize these upper triangular matrices.
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(a) (b)
Exercise 5
If we try to diagonalize the matrix of Example 2.3
using the method of Example 2.5 then what goes wrong?
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Draw the similarity diagram with .
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Set up the matrix-vector equation described in Lemma 2.4 and rewrite it as a linear system.
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By considering solutions for that system, find the trouble. (Consider separately the and cases.)
Exercise 6
What form do the powers of a diagonal matrix have?
Exercise 7
Give two same-sized diagonal matrices that are not similar. Must any two different diagonal matrices come from different similarity classes?
Exercise 8
Give a nonsingular diagonal matrix. Can a diagonal matrix ever be singular?
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?
Exercise 10
The equation ending Example 2.5
is a bit jarring because for we must take the first matrix, which is shown as an inverse, and for we take the inverse of the first matrix, so that the two powers cancel and this matrix is shown without a superscript .
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Check that this nicer-appearing equation holds.
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Is the previous item a coincidence? Or can we always switch the and the ?
Exercise 11
Show that the used to diagonalize in Example 2.5 is not unique.
Exercise 12
Find a formula for the powers of this matrix. Hint: see Exercise 6.
Exercise 13
We can ask how diagonalization interacts with the matrix operations. Assume that are each diagonalizable. Is diagonalizable for all scalars ? What about ? ?
Exercise 14
Show that matrices of this form are not diagonalizable.
Exercise 15
Show that each of these is diagonalizable.
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(a) (b)
Adapted from Linear Algebra © 2016 Jim Hefferon. Licensed under CC BY-SA 3.0 US. Source: Linear Algebra. Imported at revision df2262e.