Matrix Algebra and Inner Products: Proving Properties and Finding Orthogonal Projections, Exercises of Mathematics

A series of mathematical problems related to matrix algebra and inner products. The tasks involve proving properties of inner products, calculating inner products of vectors, and finding orthogonal projections. The document also includes a bonus question about the relationship between the dot product and the inner product in the space of polynomials.

Typology: Exercises

2012/2013

Uploaded on 01/08/2013

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Assignment 5
1)
a) Let A be an invertible n n× matrix. For vectors and u v
in n
R, define
(
)
(
)
, :
A
u v Au Av
=
i
Prove that this gives an inner product on
n
R
.
b) Let
cos sin
:sin cos
A
θ θ
=
. Prove that ,A
u v u v
=
i
c) (Bonus) Give a geometric explanation of why the inner product in b)
works this way.
2) Calculate the inner product of the given vectors using the given inner product:
a) On
3
R
using the dot product,
1 5
2 7
3 9
i and
1 2
0 4
1 2
i.
b) If
(
)
2
2 1 0
p x p x p x p
= + +
and
(
)
2
2 1 0
q x q x q x q
= + +
, define
0 0 1 1 2 2
, :
p q p q p q p q
= + +
Calculate 2 2 2
, and 3x 2 5,5 2 1
x x x x x
+ + +
.
c) On
[
]
0, 2
C let 0
2
, : ( ) ( )
f g f x g x dx
=. Calculate 2
,
x x
e e
and
2 2
3 2 5,5 2 1
x x x x
+ + +
.
d) (Bonus) Consider the standard basis
{
}
2
1, ,
x x
on the space of polynomials
in b). With respect to this basis, the inner product defined in b) is strongly
related to the dot product in
3
R
. How?
3) Prove the triangle inequality for any inner product space:
u v u v
+ +
(Hint: for any real numbers a and b,
a b a b
+ +
.)
4)
a) Let
1
1
1
:u
=
and let
0
1
1
:v
=
. Using the dot product on
3
R
, find the
orthogonal projection of
u
onto
v
.
b) Use a) to find the part of
u
which is perpendicular to
v
. (i.e.
1 2
u u u
= +

where 1
u kv
=
for some real number k, and 2
0
u v
=
i
)
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Assignment 5

a) Let A be an invertible n × n matrix. For vectors u and v

in

n

R , define

A

u v = Au Av

i

Prove that this gives an inner product on

n

R.

b) Let

cos sin

sin cos

A

θ θ

θ θ

. Prove that ,

A

u v = u v

i

c) (Bonus) Give a geometric explanation of why the inner product in b)

works this way.

  1. Calculate the inner product of the given vectors using the given inner product:

a) On

3

R using the dot product,

1 5

2 7

3 9

i and

1 2

0 4

1 2

−    

i.

b) If ( )

2

2 1 0

p x = p x + p x + p and ( )

2

2 1 0

q x = q x + q x + q , define

0 0 1 1 2 2

p q , := p q + p q + p q

Calculate

2 2 2

x x , and 3x + 2 x − 5,5 x + 2 x + 1.

c) On

[ ]

C 0, 2 let

0

2

f , g : = f ( ) x g x dx ( )

. Calculate

2

x x

e e and

2 2

3 x + 2 x − 5,5 x + 2 x + 1.

d) (Bonus) Consider the standard basis

2

1, x x , on the space of polynomials

in b). With respect to this basis, the inner product defined in b) is strongly

related to the dot product in

3

R. How?

  1. Prove the triangle inequality for any inner product space:

u + vu + v

(Hint: for any real numbers a and b, a + ba + b .)

a) Let

1

1

1

u :

and let

0

1

1

v : −

. Using the dot product on

3

R , find the

orthogonal projection of u

onto v

b) Use a) to find the part of u

which is perpendicular to v

. (i.e. 1 2

u = u + u

where 1

u = kv

for some real number k, and 2

u v = 0

i )

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a) Let A be an n × m matrix. Prove that, with respect to the dot product on

n

R , the null space of A is the orthogonal complement of the row space of

A. (Hint:

T

u v = u v

i. i.e.

[ ]

1 1 1

2 2 1 2 3 2

3 3 3

1 1 2 2 3 3

u v v

u v u u u v

u v v

u v u v u v

i

b) Let W be the subspace of

5

R spanned by the vectors

Use the result in part a) to find a basis for the orthogonal complement of

W.

  1. Use the Gram-Schmidt process to transform the vectors

: 1 , : 1 , and : 0

u v w

into an orthonormal basis for

3

R.

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