MATH 110: Linear Algebra Problem Set 8, Assignments of Linear Algebra

Problem set 8 for the linear algebra course (math 110) at the university level. The problem set includes various problems related to eigenvalues, eigenvectors, determinants, and characteristic polynomials. Students are required to prove various mathematical statements and find the rational canonical form of a linear transformation. The document also introduces putzer's method for finding the eigenpolynomials and eigenvectors of a matrix. Each problem is worth a certain number of points.

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Pre 2010

Uploaded on 10/01/2009

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Problem Set 8 (due Friday October 29)
MATH 110: Linear Algebra
Each problem is worth 10 points.
PART 1
1. Curtis p. 201 6.
2. Curtis p. 215 9.
PART 2
Problem 1(20)
a) Prove that if Ais an n×nmatrix with all its eigenvalues equal to λ,
then
exA =eλx
n1
X
k=0
xk
k!(AλI)k.
b) A 3 ×3 matrix Ahas all its eigenvalues equal to λ. Show that
exA =1
2eλx((λ2x22λx + 2)I+ (2λx2+ 2x)A+x2A2).
Problem 2(15)
Curtis p. 226 2,3.
Problem 3 (10)
Let Aand Bbe n×nmatrices with detA =detB and trA =trB . Prove
that Aand Bhave the same characteristic polynomial if n= 2, but that this
need not be the case if n > 2.
Problem 4 (10)
Suppose that the minimal polynomial of a linear transformation T:V
Vsatisfies
m(x) = (xα1)e
1· · · (xαs)es
as in the Triangular Form Theorem. Find the rational canonical form of T.
PART 3 - Optional Problem
(Putzer’s Method)
Let λ1, . . . , λnbe the eigenvalues of an n×nmatrix A, and define a
sequence of polynomials in Aas follows: P0(A) = I, and for k= 1, . . . , n:
Pk(A) =
k
Y
m=1
(AλmI).
1
pf2

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Problem Set 8 (due Friday October 29) MATH 110: Linear Algebra

Each problem is worth 10 points. PART 1

  1. Curtis p. 201 6.
  2. Curtis p. 215 9.

PART 2

Problem 1(20) a) Prove that if A is an n × n matrix with all its eigenvalues equal to λ, then

exA^ = eλx

n∑− 1

k=

xk k!

(A − λI)k.

b) A 3 × 3 matrix A has all its eigenvalues equal to λ. Show that

exA^ =

eλx((λ^2 x^2 − 2 λx + 2)I + (− 2 λx^2 + 2x)A + x^2 A^2 ).

Problem 2(15) Curtis p. 226 2,3. Problem 3 (10) Let A and B be n × n matrices with detA = detB and trA = trB. Prove that A and B have the same characteristic polynomial if n = 2, but that this need not be the case if n > 2. Problem 4 (10) Suppose that the minimal polynomial of a linear transformation T : V → V satisfies m(x) = (x − α 1 )e 1 · · · (x − αs)es

as in the Triangular Form Theorem. Find the rational canonical form of T. PART 3 - Optional Problem (Putzer’s Method) Let λ 1 ,... , λn be the eigenvalues of an n × n matrix A, and define a sequence of polynomials in A as follows: P 0 (A) = I, and for k = 1,... , n:

Pk(A) =

∏^ k

m=

(A − λmI).

Show that exA^ =

n∑− 1

k=

rk+1(x)Pk(A)

where the function r 1 (x),... , rn(x) are defined recursively by the linear dif- ferential equations: r′ 1 (x) = λ 1 r 1 (x), r 1 (0) = 1

and for k = 1,... , n − 1:

r k′+1(x) = λk+1rk+1(x) + rk(x), rk+1(0) = 0.