MAT1503 Linear Algebra Assignment 2, Exams of Linear Algebra

MAT1503 Linear Algebra Assignment 2

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MAT1503 Linear Algebra
Assignment 2
Question 1
a b c
d e f = 8
g h i
(g+2a) (h+2b) (i+2c)
3a 3b 3c .
2d 2e 2f
See page 189 of Anton’s elementary linear algebra
= 3
= 3 x 2
(g+2a) (h+2b) (i+2c)
a b c
2d 2e 2f
(g+2a) (h+2b) (i+2c)
a b c
d e f
Factor out 3 from the 2nd row. Theorem 2.2.3a
Factor out 2 from the 3rd row. Theorem 2.2.3a
= (-) 3x2
a b c
(g+2a) (h+2b) (1+2c)
d e f
Interchange the 1st and 2nd rows. Theorem 2.2.3b
= (-)(-) 3x2
a b c
d e f
(g+2a) (h+2b) (1+2c)
Interchange the 3rd and the 4th row. Theorem 2.2.3b
a b c
= (-)(-)3x2 d e f
g h i
pf3
pf4
pf5
pf8
pf9

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MAT150 3 Linear Algebra

Assignment 2

Question 1

a b c

d e f = 8

g h i

(g+2a) (h+2b) (i+2c)

3a 3b 3c.

2d 2e 2f

See page 189 of Anton’s elementary linear algebra

= 3

= 3 x 2

(g+2a) (h+2b) (i+2c)

a b c

2d 2e 2f

(g+2a) (h+2b) (i+2c)

a b c

d e f

Factor out 3 from the 2

nd row. Theorem 2.2.3a

Factor out 2 from the 3

rd row. Theorem 2.2.3a

= (-) 3x

a b c

(g+2a) (h+2b) (1+2c)

d e f

Interchange the 1

st and 2

nd rows. Theorem 2.2.3b

= (-)(-) 3x

a b c

d e f

(g+2a) (h+2b) (1+2c)

Interchange the 3

rd and the 4

th row. Theorem 2.2.3b

a b c

= (-)(-)3x2 d e f

g h i

= (-) (-) 3 x 2 x 8

  • 2 times the 1

st row wad added to the 3

rd row. Theorem 2.2.3c

= 5

3 × 125

= 15 625

Question 4

Det [A

4 ] = det [A] x det [A] x det [A] x det [A]

= 5 x 5 x 5 x 5

= 625

See page 202 of Anton’s elementary linear algebra.

Question 5

The system can be solved using Cramer’s rule because the determinant of the coefficient matrix

is not zero.

3 - 4 - 1 See page 208 of Anton’s elementary linear algebra

A= 3 2 - 1

A

1

A

2

3

A 3 =

Using co-factor expansion to calculate the determinants (See page 177 of Anton’s elementary

linear algebra)

det (A) =3 (2-(-1)) - (-4)(3-(-1)) + (-1)(3-2)

det (A 1

det (A 2

det (A 3

Therefore:

x 1 =

det 𝐴 1

=

=

det 𝐴 24 8

x 2 =

det 𝐴 2

=

=

det 𝐴 24 6

x =

det 𝐴 3

=

det 𝐴 24

Question 6

Cos 90

⁰ = 0

⇒ u ۰ v = 0 when u and v are orthogonal

x = , y = , z =

2

  • 𝑢

2

× (u 1 , u 2

1 2

Part (b)

u = (1, 2, 3)

To find the norm of u:

‖u‖ = √ 1

2

  • 2

2

  • 3

2

See page 253 of Anton’s linear elementary algebra

To find unit vectors, multiply u with the reciprocal of the norm (See page 255 of Anton’s

linear elementary algebra)

u= (1, 2, 3)

𝟏

√𝟏𝟒

𝟐

√𝟏𝟒

𝟑

√𝟏𝟒

Question 8

𝑈 × 𝑉 = |𝑢 1 𝑢 2 𝑢 3 | = 𝑖(𝑢

2

3

3

2

1

3

3

1

1

2

2

1

1

2

3

𝑈 × 𝑉 = (𝑢

2

3

3

2

1

3

3

1

1

2

2

1

(𝑈 × 𝑉) × 𝑊 = |

2

3

3

2

1

3

3

1

1

2

2

1

Question 9

(x, y, z) = (2, 3, - 1) + 𝜆(1, 0,1)

x ⇒ 2+ λ (1) = 4

y ⇒ 3 + λ (0) = 3

z ⇒ - 1 + λ (1) = a

Solve for λ ⇒ 2+ λ (1) = 4

2 + λ= 4

λ= 2

Solve for a ⇒ - 1 + λ (1) = a

  • 1+ 2(1) = a

1=a

a=

Question 10

According to theorem 3.3.4, page 286 of Anton’s elementary linear algebra

Where x o , y o , z o is a point from the plane. Taking the point as the origin, (0, 0, 0), the distance

between the origin and the plane is

| 𝑎 ×0+𝑏×0+𝑐×0+𝑑| 𝑑

D=

2 +𝑏

2 +𝑐

2

=

2

  • 𝑏

2

  • 𝑐

2

In depth proof:

From the given plane ax + by +cz +d =

The normal vector 𝑛⃑` = (a, b, c)

A point on the plane p when x=0, y=0 is P (0, 0,

The origin is P 0

A vector between the origin P o and a point on the plane P is 𝑃

⃑`

o

Representing the above diagrammatically

  • 05: