math Linear Algebra

profileh.abdullah
MT132_2017-2018.docx

MT132 (M132): Linear Algebra

Tutor Marked Assignment

Cut-Off Date: ---, 2018 Total Marks: 40

Contents

Feedback form ……….……………..…………..…………………….…...….. 2

Question 1 ……………………..………………………………………..……… 3

Question 2 ……………………………..………………..……………………… 3

Question 3 ………………………………..………………..…………………… 4

Question 4 ………………..……………………………………..……………… 4

Plagiarism Warning:

As per AOU rules and regulations, all students are required to submit their own TMA work and avoid plagiarism. The AOU has implemented sophisticated techniques for plagiarism detection. You must provide all references in case you use and quote another person's work in your TMA. You will be penalized for any act of plagiarism as per the AOU's rules and regulations.

Declaration of No Plagiarism by Student (to be signed and submitted by students with TMA work):

I hereby declare that this submitted TMA work is a result of my own efforts and I have not plagiarized any other person's work. I have provided all references of information that I have used and quoted in my TMA work.

Student Name : _____________________

Signature : _________________

Date : ___________

MT132 TMA Feedback Form

[A] Student Component

Student Name : ____________________

Student Number : ____________

Group Number : _______

[B] Tutor Component

 

Comments

Weight

Mark

Q_1

10

Q_2

10

Q_3

10

Q_4

10

40

General Comments:

Tutor name:

The TMA covers only chapters 1 and 2. It consists of 4 questions, each question is worth 10 marks. Please solve each question in the space provided. You should give the details of your solutions and not just the final results.

Q−1: Answer each of the following as True or False justifying your answers:

a) [2 marks] If |A| = 1, then AX = O could have more than one solution.

b) [2 marks] Any square matrix A can be written as a sum of symmetric and skew-symmetric matrices.

c) [2 marks] If A is an n×n nonsingular matrix, then A5AT is also nonsingular matrix.

d) [2 marks] If A is an n×n nonsingular matrix such that A-1 = A, then A10 = In.

e) [2 marks] If X1, X2 and X3 are linearly dependent vectors in R3, then X3 is a linear combination of X1 and X2.

Q−2: Consider the linear system: .

a) [3 marks] Find |A|, A is the coefficient matrix for the linear system.

b) [2 marks] If possible, find the inverse of A.

c) [3 marks] Solve the linear system.

d) [2 marks] Change the third equation in the linear system to x y + z = 0. Is the new linear system consistent? Explain your answer.

Q−3: Let .

a) [6 marks] Find the matrix A.

b) [4 marks] Find |2A3ATA-1|.

Q−4: Let be a set of vectors in R3.

a) [4 marks] Determine whether the vectors in S are linearly independent.

b) [6 marks] Write, if possible, the vector as a linear combination of the vectors in S.

MT132 – Linear Algebra 2017-2018 / Second

3