Linear Algebra Assignment 7 for Math-4100, Fall 2007, Assignments of Linear Algebra

Information about assignment 7 for the linear algebra course math-4100, offered in the fall 2007 semester. The assignment is due on november 8, 2007, and covers topics from sections 10.1-10.3 and 6.1-6.5 of the textbook by strang. Students are encouraged to discuss problems with each other but must submit their own solutions. The assignment includes several problems related to finding eigenvectors and eigenvalues, as well as the caley-hamilton theorem.

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Linear Algebra. Math-4100, Fall 2007
Assignment 7
Due Thursday, November 8, by 4pm. (Either in class, or my mailbox in AE 301, or
under my door AE 405).
Reading
Oct. 29, Nov. 1: Strang Sections 10.1-10.3, 6.1.
Nov. 5 and Nov. 8: Strang Sections 6.2–6.5.
Problems
You are encouraged to consult the text and notes and discuss the problems with other people.
However, the solutions should be yours. Please indicated on your papers, who you discussed
the problems with. Please submit extra credit problems on a separate sheet of paper.
1. Problems 10.2 #3, 12, and 22.
2. Problems 6.1 #2, 5
3. Problem 6.1 #14
4. Problem 6.1 #22.
5. Problem 6.1 #28.
6. Consider the matrix
A=
0a a ... a
a0a ... a
a a 0... a
. . . ... .
a a a ... 0
(a) Show that [1,1, ..., 1]Tis an eigenvector; find the corresponding eigenvalue, λ1.
(b) Show that λ2=ais an eigenvalue; find the corresponding eigenvectors; there
are many.
7. The Caley-Hamilton Theorem: Consider the characteristic polynomial of A, p(x) =
det(AxI).For a n×nmatrix, p(x) is a polynomial of degree n, p(x) = c0+c1x+
... +cnxn.The Caley-Hamilton Theorem says that c0I+c1A+... +cnAn= 0,i.e.,
p(A) = 0. Read Problem 6.2.35 that gives a proof of the theorem for a diagonalizable
matrix. Don’t hand in anything for this problem.
8. Problem 6.2.36.
9. Consider the matrix (a Jordan block) with a’s on the principal diagonal and 1’s on the
next diagonal; all other entries are zeros:
A=
a1
a1
a1
a1
a
pf3
pf4
pf5

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Linear Algebra. Math-4100, Fall 2007

Assignment 7

Due Thursday, November 8, by 4pm. (Either in class, or my mailbox in AE 301, or

under my door AE 405).

Reading

Oct. 29, Nov. 1: Strang Sections 10.1-10.3, 6.1.

Nov. 5 and Nov. 8: Strang Sections 6.2–6.5.

Problems

You are encouraged to consult the text and notes and discuss the problems with other people.

However, the solutions should be yours. Please indicated on your papers, who you discussed

the problems with. Please submit extra credit problems on a separate sheet of paper.

  1. Problems 10.2 #3, 12, and 22.
  2. Problems 6.1 #2, 5
  3. Problem 6.1 #
  4. Problem 6.1 #22.
  5. Problem 6.1 #28.
  6. Consider the matrix

A =

0 a a ... a

a 0 a ... a

a a 0 ... a

a a a ... 0

(a) Show that [1, 1 , ..., 1]

T is an eigenvector; find the corresponding eigenvalue, λ 1.

(b) Show that λ 2 = −a is an eigenvalue; find the corresponding eigenvectors; there

are many.

  1. The Caley-Hamilton Theorem: Consider the characteristic polynomial of A, p(x) =

det(A − xI). For a n × n matrix, p(x) is a polynomial of degree n, p(x) = c 0 + c 1 x +

... + cnx

n

. The Caley-Hamilton Theorem says that c 0 I + c 1 A + ... + cnA

n = 0, i.e.,

p(A) = 0. Read Problem 6.2.35 that gives a proof of the theorem for a diagonalizable

matrix. Don’t hand in anything for this problem.

  1. Problem 6.2.36.
  2. Consider the matrix (a Jordan block) with a’s on the principal diagonal and 1’s on the

next diagonal; all other entries are zeros:

A =

a 1

a 1

a 1

a 1

a

(a) Find its characteristic polynomial.

(b) Check the Caley-Hamilton theorem on this A.

(c) Find all eigenvalues and eigenvectors of A.

  1. Problem 6.2.29.

Extra credit:

  1. (a) Let A have n different eigenvalues. Prove that if B commutes with A, AB = BA,

then B has the same eigenvectors as A.

(b) For A =

[

]

, the relation AB = BA gives four equations for the unknown

entries a, b, c, d of the matrix B. Write these equation in the matrix form, find the

rank of the 4 × 4 matrix.