Solution to Math 425 Written Homework 7: Eigenvalues and Eigenvectors, Assignments of Linear Algebra

Solutions to problem 1 and 2 of math 425 written homework 7. The problems involve finding the eigenvalues and eigenvectors of a given matrix a. The document also discusses the relationship between the eigenvectors and the null spaces of the matrix. Useful for students studying linear algebra and eigenvalues and eigenvectors.

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MATH 425 Written Homework 7Solution Radford 04/21/08
1. (20 points)A=
9 0 0 0
9 8 0 0
0 0 9 0
12 11 10 9
. Therefore cA(x) = (9 x)3(8 x) from which
we deduce Dim N((A9I4)3) = 3, Dim N(A8I4) = 1. Note that v1=
0
1
0
11
forms
a basis for the space of eigenvectors for Abelonging to λ8, hence forms a basis for
N(A8I4).
Now N((A9I4)3) = R(A8I4) has basis {e4, e3, e1+ 9e2}. Under multiplication
by A9I4=
0 0 0 0
91 0 0
0 0 0 0
12 11 10 0
observe that e4 0, e3 10e4 0, and e1+
9e2 111e4 0. Therefore v2=e1+ 9e2111
10 e3, v3= 10e4form an independent
set of eigenvectors for Abelonging to λ= 9. Set v4=e3. Let Let S= (v1· · · v4) =
0 1 0 0
1 9 0 0
0111
10 0 1
11 0 10 0
(12) and J=
8000
0900
0091
9009
. (8)
Comment: I was not particular about the order of the blocks.
2. (20 points)A=
9 0 0 0
0 0 0 0
0 0 0 0
9 0 0 9
. Therefore cA(x) = (9 x)2x2from which we
deduce Dim N((A9I4)2) = 2 = Dim N(A2). By inspection {e2, e3}form a basis for
the space of eigenvectors for Abelonging to λ= 0, hence form a basis for N(A2). Let
v1=e2, v2=e3. Now R(A2) = N((A9I4)2) has basis {9e1+ 9e4, e4}. Let v4= 9e1+ 9e4
and v3= (A9I4)v4= 81e4. Then {v3, v4}is a basis for N((AI3)2). Let S= (v1· · · v4) =
0 0 0 9
1 0 0 0
0 1 0 0
0 0 81 9
(12) and J=
0 0 0 0
0 0 0 0
0 0 9 1
9 0 0 9
. (8)
Comment: Note that {e1, e4}is a basis for N((A9I4)2) as well. Thus v4=e1and v3= 9e4
work also. I was not particular about the order of the blocks.
1
pf3

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MATH 425 Written Homework 7 Solution Radford 04/21/

  1. (20 points) A =

  

  . Therefore cA(x) = (9 − x)^3 (8 − x) from which

we deduce Dim N ((A − 9I 4 )^3 ) = 3, Dim N (A − 8I 4 ) = 1. Note that v 1 =

  

   forms

a basis for the space of eigenvectors for A belonging to λ − 8, hence forms a basis for N (A − 8I 4 ). Now N ((A − 9I 4 )^3 ) = R(A − 8I 4 ) has basis {e 4 , e 3 , e 1 + 9e 2 }. Under multiplication

by A − 9I 4 =

  

   observe that e 4 −→ 0, e 3 −→ 10 e 4 −→ 0, and e 1 +

9 e 2 −→ 111 e 4 −→ 0. Therefore v 2 = e 1 + 9e 2 − 11110 e 3 , v 3 = 10e 4 form an independent set of eigenvectors for A belonging to λ = 9. Set v 4 = e 3. Let Let S = (v 1 · · · v 4 ) =

   

    

( 12 ) and J =

   

   

Comment: I was not particular about the order of the blocks.

  1. (20 points) A =

   

   

. Therefore cA(x) = (9 − x)^2 x^2 from which we

deduce Dim N ((A − 9I 4 )^2 ) = 2 = Dim N (A^2 ). By inspection {e 2 , e 3 } form a basis for the space of eigenvectors for A belonging to λ = 0, hence form a basis for N (A^2 ). Let v 1 = e 2 , v 2 = e 3. Now R(A^2 ) = N ((A − 9I 4 )^2 ) has basis { 9 e 1 + 9e 4 , e 4 }. Let v 4 = 9e 1 + 9e 4 and v 3 = (A−9I 4 )v 4 = 81e 4. Then {v 3 , v 4 } is a basis for N ((A−I 3 )^2 ). Let S = (v 1 · · · v 4 ) = 

 

   ( 12 ) and J =

  

  . ( 8 )

Comment: Note that {e 1 , e 4 } is a basis for N ((A−9I 4 )^2 ) as well. Thus v 4 = e 1 and v 3 = 9e 4 work also. I was not particular about the order of the blocks.

  1. (20 points) We are to find cA(x) and mA(x), where A is the matrix of the reflection

R : R^2 −→ R^2 through S = span(

( 3 7

) ).

Now R is a reflection through a line in R^2. Therefore A has eigenvalues 1, −1. Thus (x−1)(x+1) divides cA(x), since the roots of cA(x) are the eigenvalues of A, and (x−1)(x+1) divides mA(x) by part d) of Proposition 7.6.1. ( 10 ) Since mA(x) divides cA(x) by part c) of the same, both have highest coefficient 1, and the degree of cA(x) is 2, cA(x) = (x − 1)(x + 1) = mA(x). ( 10 )

Comment: The matrix of R is A =

   

   

. The solution can be based on this.

  1. (20 points) Let m ≥ 0. Then D(1) = 0 and D(xm) = mxm−^1 for all m ≥ 1. Let B = { 1 , x,... , xn} be the natural basis for P n. Then [D]B is an (n + 1)×(n + 1) upper triangular matric with zeros on the diagonal. Therefore cD(x) = c[D]B (x) = (−x)n+1. ( 8 ) To find mD(x) one can verify Exercise 8.1.5 and use Proposition 7.6.1 to show that mD(x) = xn+1(= ±cD(x)). A more direct way is to first note that Dn+1^ = 0 and Dn^6 = 0. In particular {I,... , Dn+1} is dependent. We will show {I,... , Dn} is independent. Since Dn+1^ = 0 by definition mD(x) = xn+1. Suppose that {I,... , Dn} is dependent. Then a 0 I + a 1 D + · · · + an− 1 Dn^ = 0 for some a 0 ,... , an ∈ R not all of which are zero. Thus amDm^ + · · · + anDn^ = 0 where 0 ≤ m ≤ n and am 6 = 0. Applying Dn−m^ to both sides of the preceding equation amDn^ = 0. Since Dn^6 = 0 necessarily am = 0, a contradiction. Thus {I,... , Dn} is independent after all. ( 12 )
  2. (20 points) Let v ∈ V , λ ∈ R and suppose that T (v) = λv. Then T m(v) = λmv for all m ≥ 0 by induction on m. Since T 0 (v) = v = λ^0 v the assertion follows for m = 0. ( 8 ) Suppose that m ≥ 0 and T m(v) = λmv. The calculation

T m+1(v) = T (T m(v)) = T (λmv) = λmT (v) = λm(λv) = λm+1v

shows that the assertion holds for m + 1. Thus the assertion holds for all m ≥ 0 by induction. ( 8 ) Next let p(x) = a 0 + a 1 x + · · · + anxn^ ∈ R[x]. Then the calculation

p(T )(v) = (a 0 I + a 1 T + · · · + anT n)(v) = a 0 I(v) + a 1 T (v) + · · · + anT (v) = a 0 v + a 1 (λv) + · · · + an(λnv) = (a 0 + a 1 λ + · · · + anλn)v = p(λ)v

shows that p(T )(v) = p(λ)v. ( 8 )