MATH 425: Homework 2 Solution - Orthogonal Complements and Gram-Schmidt Process, Assignments of Linear Algebra

The solutions to homework 2 of a university-level mathematics course (math 425) focusing on orthogonal complements and the gram-schmidt process. The calculation of orthogonal complements, the application of the gram-schmidt process to find an orthonormal basis, and the determination of a polynomial function using a given matrix.

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2011/2012

Uploaded on 05/18/2012

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MATH 425 Written Homework 2Solution Radford 02/07/08
1. (20 points) We have noted that orthogonal complements are subspaces. Thus Sis a
subspace of R4.
(a) Let v=
x
y
z
w
R4.Then vSif and only if <u1,v>=0=<u2,v>by Lemma
4.3.1. Thus vSif and only if
1x+ 2y+ 1z+ 0w= 0
4x+ 1y+ 2z+ 3w= 0.
Row reduction yields
Ã1210
4123! ··· Ã103/7 6/7
012/73/7!.
Therefore vSif and only if
x
y
z
w
=z
3/7
2/7
1
0
+w
6/7
3/7
0
1
which means {
3/7
2/7
1
0
,
6/7
3/7
0
1
}={v1,v2}is a basis for S. (10)
(b) q1=7v1
||7v1|| =1
62
3
2
7
0
.
w2=v2<v2,q1>q1
=
6/7
3/7
0
1
<
6/7
3/7
0
1
,1
62
3
2
7
0
>1
62
3
2
7
0
=
6/7
3/7
0
1
12
62·7
3
2
7
0
1
pf3
pf4

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MATH 425 Written Homework 2 Solution Radford 02/07/

  1. (20 points) We have noted that orthogonal complements are subspaces. Thus S⊥^ is a subspace of R^4.

(a) Let v =

   

x y z w

    ∈ R^4. Then v ∈ S⊥^ if and only if = 0 = by Lemma

4.3.1. Thus v ∈ S⊥^ if and only if

1 x + 2y + 1z + 0w = 0 4 x + 1y + 2z + 3w = 0.

Row reduction yields ( 1 2 1 0 4 1 2 3

) −→ · · · −→

( 1 0 3 / 7 6 / 7 0 1 2 / 7 − 3 / 7

) .

Therefore v ∈ S⊥^ if and only if

   

x y z w

    = z

   

   

  • w

   

   

which means {

  

   ,

  

  } = {v 1 , v 2 } is a basis for S⊥. ( 10 )

(b) q 1 =

7 v 1 || 7 v 1 ||

  

  .

w 2 = v 2 − q 1

   

   

   

   

   

   

   

   

  

   −

  

  

  

   −

  

  

  

  

   

   

Thus q 2 =

31 w 2 || 31 w 2 ||

  

  . An answer is {q 1 , q 2 }. ( 10 )

  1. (20 points) From the calculation

( x y

) ,

( z w

) > =

( x y

)t ( 1 2 2 7

) ( z w

)

( x y

) ( z + 2w 2 z + 7w

) = xz+2xw+2yz+7yw

we have

<

( x y

) ,

( z w

) > = xz + 2xw + 2yz + 7yw (1)

for all

( x y

) ,

( z w

) ∈ R^2. We apply the Gram-Schmidt process to the standard basis

{e 1 , e 2 } for R^2.

By (1) note that = <

( 1 0

) ,

( 1 0

) > = 1. Therefore q 1 = e 1. ( 10 ) By (1)

again

w 2 = e 2 − q 1 =

( 0 1

) − <

( 0 1

) ,

( 1 0

) >

( 1 0

)

( 0 1

) − 2

( 1 0

)

( − 2 1

) .

Using (1) again we see = <

( − 2 1

) ,

( − 2 1

) > = 3 and thus q 2 =

( − 2 1

) .

One answer is {

( 1 0

) ,

( − 2 1

) }. ( 10 )

  1. (20 points) Since V = S⊕T is an orthogonal sum, by definition any v ∈ V can be written v = s + t for some s ∈ S, t ∈ T and for all s ∈ S and t ∈ T it follows that = 0.

Thus y =

x +

(b) A =

  

   and thus AtA =

 

 

  

   =

 

 .

By Theorem 4.6.1 the polynomial f (x) = a 0 +a 1 x+a 2 x^2 is determined by the linear system

AtA

 

a 0 a 1 a 2

  = Aty; that is

  

  

  

a 0 a 1 a 2

   =

  

  

   

   

  

  .

There are various ways of solving this system; using row reduction or by finding the inverse of AtA. The latter can be done easily enough by computing the classical adjoint. In any

case

  

a 0 a 1 a 2

   =

      

      

. Thus f (x) =

x −

x^2. ( 10 )