APM3711
ASSIGNMENT 3
Numerical Analysis II
FULL
SOLUTIONS
COMPLETE SOLUTIONS
MEMORANDUM
UNISA 2026
Page 1 of 29
,SOLUTIONS:
Question 1
We are given the matrix A with the initial vector
4 1 1 1
(0)
𝐴 = [1 3 0] , 𝐱 = [1]
1 0 2 0
(a) First Two Iterations
Iteration 1:
Compute 𝐲 (1) = 𝐴𝐱 (0) :
Page 2 of 29
, 4 1 1 1
𝐲 (1) = [1 3 0] [1]
1 0 2 0
Calculate each component:
𝑦1 = 4(1) + 1(1) + 1(0) = 4 + 1 + 0 = 5
𝑦2 = 1(1) + 3(1) + 0(0) = 1 + 3 + 0 = 4
𝑦3 = 1(1) + 0(1) + 2(0) = 1 + 0 + 0 = 1
So:
5
𝐲 (1) = [4]
1
The dominant component (largest absolute value) is 5. Normalize 𝐲 (1) by dividing by this
component:
1 5 1
(1)
𝐱 = [4] = [0.8000]
5
1 0.2000
The eigenvalue approximation is the dominant component:
𝜆(1) = 5
Page 3 of 29
ASSIGNMENT 3
Numerical Analysis II
FULL
SOLUTIONS
COMPLETE SOLUTIONS
MEMORANDUM
UNISA 2026
Page 1 of 29
,SOLUTIONS:
Question 1
We are given the matrix A with the initial vector
4 1 1 1
(0)
𝐴 = [1 3 0] , 𝐱 = [1]
1 0 2 0
(a) First Two Iterations
Iteration 1:
Compute 𝐲 (1) = 𝐴𝐱 (0) :
Page 2 of 29
, 4 1 1 1
𝐲 (1) = [1 3 0] [1]
1 0 2 0
Calculate each component:
𝑦1 = 4(1) + 1(1) + 1(0) = 4 + 1 + 0 = 5
𝑦2 = 1(1) + 3(1) + 0(0) = 1 + 3 + 0 = 4
𝑦3 = 1(1) + 0(1) + 2(0) = 1 + 0 + 0 = 1
So:
5
𝐲 (1) = [4]
1
The dominant component (largest absolute value) is 5. Normalize 𝐲 (1) by dividing by this
component:
1 5 1
(1)
𝐱 = [4] = [0.8000]
5
1 0.2000
The eigenvalue approximation is the dominant component:
𝜆(1) = 5
Page 3 of 29