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Homework Assignment 3 with Solution - Differential Equations | MATH 308, Assignments of Differential Equations

Material Type: Assignment; Class: Differential Equations; Subject: Mathematics; University: Colgate University; Term: Fall 2003;

Typology: Assignments

Pre 2010

Uploaded on 08/16/2009

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Math 308 - Differential Equations Fall 2003
Homework Assignment 3 Solutions (Problems 8, 9, and 10)
8. We have A=·a0
0a¸, so ArI =·ar0
0ar¸and the characteristic polynomial is
det(ArI ) = (ar)2. Thus the only eigenvalue is r=a. Then
ArI =·0 0
0 0¸
and therefore (ArI )~v =~
0 for any vector ~v. So any nonzero vector ~v is an eigenvector.
We could also observe that for any vector ~v =·v1
v2¸,
A~v =·a0
0a¸·v1
v2¸=·av1
av2¸=a·v1
v2¸=a~v.
Thus, if ~v 6=~
0, ~v is an eigenvector associated with the eigenvalue a.
9. We have A=·a b
0d¸. We’ll have to assume that a6=d, otherwise we have a repeated
eigenvalue, which we haven’t covered yet. Then ArI =·ar b
0dr¸and the character-
istic polynomial is det(ArI ) = (ar)(dr). Thus the eigenvalues are
r1=aand r2=d.
Now find the eigenvectors.
For r1=a, we have Ar1I=·0b
0da¸, so we may take ~v1=·1
0¸.
For r2=d, we have Ar2I=·ad b
0 0¸, so we may take ~v2=·b
da¸.
10. We have A=·a b
c0¸, so ArI =·ar b
cr¸and the characteristic polynomial is
det(ArI ) = (ar)(r)bc =r2ar bc. Thus the eigenvalues are
r=a±a2+ 4bc
2.
1
pf2

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Math 308 - Differential Equations Fall 2003

Homework Assignment 3 Solutions (Problems 8, 9, and 10)

  1. We have A =

[

a 0 0 a

]

, so A − rI =

[

a − r 0 0 a − r

]

and the characteristic polynomial is

det(A − rI) = (a − r) 2

. Thus the only eigenvalue is r = a. Then

A − rI =

[

]

and therefore (A − rI)~v = ~0 for any vector ~v. So any nonzero vector ~v is an eigenvector.

We could also observe that for any vector ~v =

[

v 1 v 2

]

A~v =

[

a 0 0 a

] [

v 1 v 2

]

[

av 1 av 2

]

= a

[

v 1 v 2

]

= a~v.

Thus, if ~v 6 = ~0, ~v is an eigenvector associated with the eigenvalue a.

  1. We have A =

[

a b 0 d

]

. We’ll have to assume that a 6 = d, otherwise we have a repeated

eigenvalue, which we haven’t covered yet. Then A − rI =

[

a − r b 0 d − r

]

and the character-

istic polynomial is det(A − rI) = (a − r)(d − r). Thus the eigenvalues are

r 1 = a and r 2 = d.

Now find the eigenvectors.

For r 1 = a, we have A − r 1 I =

[

0 b 0 d − a

]

, so we may take ~v 1 =

[

]

For r 2 = d, we have A − r 2 I =

[

a − d b 0 0

]

, so we may take ~v 2 =

[

b d − a

]

  1. We have A =

[

a b c 0

]

, so A − rI =

[

a − r b c −r

]

and the characteristic polynomial is

det(A − rI) = (a − r)(−r) − bc = r^2 − ar − bc. Thus the eigenvalues are

r =

a ±

a^2 + 4bc

2

We now find the eigenvectors:

For r 1 =

a −

a^2 + 4bc

2

, we have A − r 1 I =

[

a+

√ a^2 +4bc 2 b c −a+

√ a^2 +4bc 2

]

, so an eigenvector is

~v 1 =

[

−b a+

√ a^2 +4bc 2

]

For r 2 =

a +

a^2 + 4bc

2

, we have A − r 2 I =

[

a−

√ a^2 +4bc 2 b c −a−

√ a^2 +4bc 2

]

, so an eigenvector is

~v 2 =

[

−b a−

√ a^2 +4bc 2

]

The main point to observe is that, unlike the upper triangular matrix in Problem 9, we can’t

simply read off the eigenvalues from entries of the matrix. The formulas for the eigenvalues

and eigenvectors in this case are a bit messier.