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Jordan Canonical Form

One representative per similarity class, assembled from blocks carrying an eigenvalue down the diagonal and ones just below it.

Linear Algebra, Jordan Canonical Form

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24 exercises

Exercise 1

Do the check for Example 2.4.

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Exercise 2

Each matrix is in Jordan form. State its characteristic polynomial and its minimal polynomial.

  • (a)  (3013)\begin{pmatrix}3&0\\ 1&3\end{pmatrix}     (b)  (−100−1)\begin{pmatrix}-1&0\\ 0&-1\end{pmatrix}     (c)  (20012000−1/2)\begin{pmatrix}2&0&0\\ 1&2&0\\ 0&0&-1/2\end{pmatrix}     (d)  (300130013)\begin{pmatrix}3&0&0\\ 1&3&0\\ 0&1&3\\ \end{pmatrix}     (e)  (3000130000300013)\begin{pmatrix}3&0&0&0\\ 1&3&0&0\\ 0&0&3&0\\ 0&0&1&3\end{pmatrix}     (f)  (4000140000−40001−4)\begin{pmatrix}4&0&0&0\\ 1&4&0&0\\ 0&0&-4&0\\ 0&0&1&-4\end{pmatrix}     (g)  (500020003)\begin{pmatrix}5&0&0\\ 0&2&0\\ 0&0&3\end{pmatrix}     (h)  (5000020000200003)\begin{pmatrix}5&0&0&0\\ 0&2&0&0\\ 0&0&2&0\\ 0&0&0&3\end{pmatrix}     (i)  (5000020001200003)\begin{pmatrix}5&0&0&0\\ 0&2&0&0\\ 0&1&2&0\\ 0&0&0&3\end{pmatrix}

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Exercise 3

Find the Jordan form from the given data.

  • The matrix TT is 5 ⁣× ⁣55\!\times\!5 with the single eigenvalue 33. The nullities of the powers are: T−3IT-3I has nullity two, (T−3I)2(T-3I)^{2} has nullity three, (T−3I)3(T-3I)^{3} has nullity four, and (T−3I)4(T-3I)^{4} has nullity five.

  • The matrix SS is 5 ⁣× ⁣55\!\times\!5 with two eigenvalues. For the eigenvalue 22 the nullities are: S−2IS-2I has nullity two, and (S−2I)2(S-2I)^{2} has nullity four. For the eigenvalue −1-1 the nullities are: S+1IS+1I has nullity one.

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Exercise 4

Find the change of basis matrices for each example.

  • (a)  Example 2.12     (b)  Example 2.13     (c)  Example 2.14

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Exercise 6

Find all possible Jordan forms of a transformation with characteristic polynomial (x−1)2(x+2)2(x-1)^{2}(x+2)^{2}.

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Exercise 7

Find all possible Jordan forms of a transformation with characteristic polynomial (x−1)3(x+2)(x-1)^{3}(x+2).

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Exercise 8

Find all possible Jordan forms of a transformation with characteristic polynomial (x−2)3(x+1)(x-2)^{3}(x+1) and minimal polynomial (x−2)2(x+1)(x-2)^{2}(x+1).

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Exercise 9

Find all possible Jordan forms of a transformation with characteristic polynomial (x−2)4(x+1)(x-2)^{4}(x+1) and minimal polynomial (x−2)2(x+1)(x-2)^{2}(x+1).

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Exercise 10

Diagonalize these.

  • (a)  (1100)\begin{pmatrix}1&1\\ 0&0\end{pmatrix}     (b)  (0110)\begin{pmatrix}0&1\\ 1&0\end{pmatrix}

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Exercise 11

Find the Jordan matrix representing the differentiation operator on P3\mathcal{P}_{3}.

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Exercise 12

Decide if these two are similar.

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Exercise 13

Find the Jordan form of this matrix.

Also give a Jordan basis.

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Exercise 14

How many similarity classes are there for 3 ⁣× ⁣33\!\times\!3 matrices whose only eigenvalues are −3-3 and 44?

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Exercise 15

Prove that a matrix is diagonalizable if and only if its minimal polynomial has only linear factors.

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Exercise 16

Give an example of a linear transformation on a vector space that has no non-trivial invariant subspaces.

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Exercise 17

Show that a subspace is t−λ1t-\lambda_{1} invariant if and only if it is t−λ2t-\lambda_{2} invariant.

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Exercise 18

Prove or disprove: two n ⁣× ⁣nn\!\times\!n matrices are similar if and only if they have the same characteristic and minimal polynomials.

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Exercise 19

The trace of a square matrix is the sum of its diagonal entries.

  • Find the formula for the characteristic polynomial of a 2 ⁣× ⁣22\!\times\!2 matrix.

  • Show that trace is invariant under similarity, and so we can sensibly speak of the ‘trace of a map’. (Hint: see the prior item.)

  • Is trace invariant under matrix equivalence?

  • Show that the trace of a map is the sum of its eigenvalues (counting multiplicities).

  • …
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Exercise 20

To use Definition 2.10 to check whether a subspace is tt invariant, we seemingly have to check all of the infinitely many vectors in a (nontrivial) subspace to see if they satisfy the condition. Prove that a subspace is tt invariant if and only if its subbasis has the property that for all of its elements, t(β⃗)t(\vec{\beta}) is in the subspace.

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Exercise 21

Is tt invariance preserved under intersection? Under union? Complementation? Sums of subspaces?

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Exercise 22

Give a way to order the Jordan blocks if some of the eigenvalues are complex numbers. That is, suggest a reasonable ordering for the complex numbers.

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Exercise 23

Let Pj(R)\mathcal{P}_{j}(\mathbb{R}) be the vector space over the reals of degree jj polynomials. Show that if j≤kj\leq k then Pj(R)\mathcal{P}_{j}(\mathbb{R}) is an invariant subspace of Pk(R)\mathcal{P}_{k}(\mathbb{R}) under the differentiation operator. In P7(R)\mathcal{P}_{7}(\mathbb{R}), does any of P0(R)\mathcal{P}_{0}(\mathbb{R}), …, P6(R)\mathcal{P}_{6}(\mathbb{R}) have an invariant complement?

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Exercise 24

In Pn(R)\mathcal{P}_{n}(\mathbb{R}), the vector space (over the reals) of degree nn polynomials,

and

are the even and the odd polynomials; p(x)=x2p(x)=x^{2} is even while p(x)=x3p(x)=x^{3} is odd. Show that they are subspaces. Are they complementary? Are they invariant under the differentiation transformation?

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Exercise 25

A matrix SS is the square root of another TT if S2=TS^{2}=T. Show that any nonsingular matrix has a square root.

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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.