Solutions to Quiz 10 in Math 246 by Professor David Levermore - Prof. Charles D. Levermore, Quizzes of Differential Equations

The solutions to quiz 10 in math 246 taught by professor david levermore. It includes the computations for finding the eigenvalues and eigenvectors of matrices, as well as the diagonalization of a real 2x2 matrix.

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Uploaded on 07/24/2011

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Quiz 10 Solutions, Math 246, Professor David Levermore
Tuesday, 24 November 2009
(1) [4] Let A=๎˜’3 1
โˆ’1 1๎˜“. Compute etA.
Solution. The characteristic polynomial is p(z) = z2โˆ’4z+ 4 = (zโˆ’2)2. Hence,
etA=e2t๎˜‚I+ (Aโˆ’2I)t๎˜ƒ
=e2t๎˜”๎˜’1 0
0 1๎˜“+๎˜’1 1
โˆ’1โˆ’1๎˜“t๎˜•
=e2t๎˜’1 + t t
โˆ’t1โˆ’t๎˜“.
(2) [3] A=๎˜’1 1
3โˆ’1๎˜“has eigenvalues โˆ’2 and 2. Find an eigenvector for each eigenvalue.
Solution: One has A+ 2I=๎˜’3 1
3 1๎˜“and Aโˆ’2I=๎˜’โˆ’1 1
3โˆ’3๎˜“.
The eigenvectors v1associated with the eigenvalue โˆ’2 satisfy (A+ 2I)v1= 0. You
can either solve this system or simply read-off from a nonzero column of Aโˆ’2Ithat
these have the form
v1=ฮฑ1๎˜’โˆ’1
3๎˜“for some ฮฑ16= 0 .
The eigenvectors v2associated with the eigenvalue 2 satisfy (Aโˆ’2I)v2= 0. You
can either solve this system or simply read-off from a nonzero column of A+ 2Ithat
these have the form
v2=ฮฑ2๎˜’1
1๎˜“for some ฮฑ26= 0 .
(3) [3] A real 2 ร—2 matrix Ahas the eigenpair ๎˜’โˆ’1 + i3,๎˜’2
โˆ’i๎˜“๎˜“. Diagonalize A.
Solution: Because Ais real, a second eigenpair will be the complex conjugate of
the given eigenpair. If you use the eigenpairs
๎˜’โˆ’1 + i3,๎˜’2
โˆ’i๎˜“๎˜“ ,๎˜’โˆ’1โˆ’i3,๎˜’2
i๎˜“๎˜“ ,
then set
V=๎˜’2 2
โˆ’i i๎˜“,D=๎˜’โˆ’1 + i3 0
0โˆ’1โˆ’i3๎˜“.
Because det(V) = 2 ยทiโˆ’(โˆ’i)ยท2 = 4i, you obtain the diagonalization
A=VDVโˆ’1=๎˜’2 2
โˆ’i i๎˜“๎˜’โˆ’1 + i3 0
0โˆ’1โˆ’i3๎˜“1
4i๎˜’iโˆ’2
i2๎˜“.

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Quiz 10 Solutions, Math 246, Professor David Levermore Tuesday, 24 November 2009

(1) [4] Let A =

. Compute etA^.

Solution. The characteristic polynomial is p(z) = z^2 โˆ’ 4 z + 4 = (z โˆ’ 2)^2. Hence, etA^ = e^2 t

[

I + (A โˆ’ 2 I) t

]

= e^2 t

[(

t

]

= e^2 t

1 + t t โˆ’t 1 โˆ’ t

(2) [3] A =

has eigenvalues โˆ’2 and 2. Find an eigenvector for each eigenvalue.

Solution: One has A + 2I =

and A โˆ’ 2 I =

The eigenvectors v 1 associated with the eigenvalue โˆ’2 satisfy (A + 2I)v 1 = 0. You can either solve this system or simply read-off from a nonzero column of A โˆ’ 2 I that these have the form

v 1 = ฮฑ 1

for some ฮฑ 1 6 = 0.

The eigenvectors v 2 associated with the eigenvalue 2 satisfy (A โˆ’ 2 I)v 2 = 0. You can either solve this system or simply read-off from a nonzero column of A + 2I that these have the form

v 2 = ฮฑ 2

for some ฮฑ 2 6 = 0.

(3) [3] A real 2 ร— 2 matrix A has the eigenpair

โˆ’1 + i 3 ,

โˆ’i

. Diagonalize A.

Solution: Because A is real, a second eigenpair will be the complex conjugate of the given eigenpair. If you use the eigenpairs ( โˆ’1 + i 3 ,

โˆ’i

โˆ’ 1 โˆ’ i 3 ,

i

then set

V =

โˆ’i i

, D =

โˆ’1 + i 3 0 0 โˆ’ 1 โˆ’ i 3

Because det(V) = 2 ยท i โˆ’ (โˆ’i) ยท 2 = 4i, you obtain the diagonalization

A = VDVโˆ’^1 =

โˆ’i i

โˆ’1 + i 3 0 0 โˆ’ 1 โˆ’ i 3

4 i

i โˆ’ 2 i 2