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Linear Algebra Exercises-n-Answers.pdf

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204 <strong>Linear</strong> <strong>Algebra</strong>, by Hefferon<br />

Five.IV.2.20 For each, because many choices of basis are possible, many other answers are possible.<br />

Of course, the calculation to check if an answer gives that P T P −1 is in Jordan form is the arbiter of<br />

what’s correct.<br />

(a) Here is the arrow diagram.<br />

C 3 t<br />

w.r.t. E 3<br />

−−−−→ C 3 w.r.t. E T 3<br />

⏐<br />

⏐<br />

id↓P<br />

id↓P<br />

C 3 t<br />

w.r.t. B −−−−→ C 3 w.r.t. B<br />

J<br />

The matrix to move from the lower left to the upper left is this.<br />

⎛<br />

P −1 = ( Rep ) −1<br />

E3,B(id) = RepB,E3 (id) = ⎝ 1 −2 0<br />

⎞<br />

1 0 1⎠<br />

−2 0 0<br />

The matrix P to move from the upper right to the lower right is the inverse of P −1 .<br />

(b) We want this matrix and its inverse.<br />

⎛<br />

P −1 = ⎝ 1 0 3<br />

⎞<br />

0 1 4⎠<br />

0 −2 0<br />

(c) The concatenation of these bases for the generalized null spaces will do for the basis for the entire<br />

space.<br />

⎛ ⎞ ⎛ ⎞<br />

⎛ ⎞ ⎛ ⎞ ⎛ ⎞<br />

−1 −1<br />

1 0 −1<br />

0<br />

B −1 = 〈<br />

⎜ 0<br />

⎟<br />

⎝ 1 ⎠ , 0<br />

⎜−1<br />

⎟<br />

⎝ 0 ⎠ 〉 B 1<br />

3 = 〈<br />

⎜−1<br />

⎟<br />

⎝ 0 ⎠ , 0<br />

⎜ 0<br />

⎟<br />

⎝−2⎠ , −1<br />

⎜ 1<br />

⎟<br />

⎝ 2 ⎠ 〉<br />

0 1<br />

0 2 0<br />

The change of basis matrices are this one<br />

⎛<br />

and its inverse.<br />

⎞<br />

−1 −1 1 0 −1<br />

0 0 1 0 −1<br />

P −1 =<br />

⎜ 0 −1 −1 0 1<br />

⎟<br />

⎝ 1 0 0 −2 2 ⎠<br />

0 1 0 2 0<br />

Five.IV.2.21 The general procedure is to factor the characteristic polynomial c(x) = (x − λ 1 ) p 1<br />

(x −<br />

λ 2 ) p2 · · · to get the eigenvalues λ 1 , λ 2 , etc. Then, for each λ i we find a string basis for the action of the<br />

transformation t − λ i when restricted to N ∞ (t − λ i ), by computing the powers of the matrix T − λ i I<br />

and finding the associated null spaces, until these null spaces settle down (do not change), at which<br />

point we have the generalized null space. The dimensions of those null spaces (the nullities) tell us<br />

the action of t − λ i on a string basis for the generalized null space, and so we can write the pattern of<br />

subdiagonal ones to have N λi . From this matrix, the Jordan block J λi associated with λ i is immediate<br />

J λi = N λi + λ i I. Finally, after we have done this for each eigenvalue, we put them together into the<br />

canonical form.<br />

(a) The characteristic polynomial of this matrix is c(x) = (−10 − x)(10 − x) + 100 = x 2 , so it has<br />

only the single eigenvalue λ = 0.<br />

power p (T + 0 · I) p N ((t − 0) p ) nullity<br />

( ) ( )<br />

−10 4 2y/5 ∣∣<br />

1<br />

{ y ∈ C} 1<br />

−25<br />

(<br />

10<br />

)<br />

y<br />

0 0<br />

2<br />

C 2 2<br />

0 0<br />

(Thus, this transformation is nilpotent: N ∞ (t − 0) is the entire space). From the nullities we know<br />

that t’s action on a string basis is β ⃗ 1 ↦→ β ⃗ 2 ↦→ ⃗0. This is the canonical form matrix for the action of<br />

t − 0 on N ∞ (t − 0) = C 2 ( )<br />

0 0<br />

N 0 =<br />

1 0<br />

and this is the Jordan form of the matrix.<br />

( )<br />

0 0<br />

J 0 = N 0 + 0 · I =<br />

1 0

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