Linear Algebra Assignment Solutions for MAT 242 by Dr. Ibrahim (Fall, 2007), Assignments of Linear Algebra

The solutions to assignment d for mat 242, a linear algebra course taught by dr. Ibrahim during the fall, 2007 semester. The assignment includes problems on proving the inconsistency of a system of linear equations, finding a least squares solution for a parabola, and projecting vectors onto lines and planes. The document also covers the gram-schmidt process for finding an orthonormal basis.

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MAT 242 Dr. Ibrahim
SLN: 80071 Fall, 2007
MAT 242 Assignment D
Assignment due on Thursday, Nov. 8 in class.
D1: Prove that the system of linear equations
x+2y= 4
x+y= 5
3x+5y= 12
is inconsistent and find a least squares solution of the system.
D2: The points (0,0), (1,0), (2,1), (3,4), and (4,8) are required to lie on a parabola
y=a+bx +cx2. Find a least squares solution for a, b, c. Also prove that no parabola passes
through these points.
D3: Find the orthogonal projection of the vector b=
1
1
1
onto the line given by the
vector a=
1
2
2
. Give the orthogonal projection of any vector X=
x
y
z
onto the same
line.
D4: A subspace Shas basis
{a=
2
1
0
1
, b =
5
0
1
2
, c =
0
5
4
1
}
a) What are the dot products aTb,aTc,bTc? Are the basis vectors orthogonal?
Now lets compute a new basis ˆa, ˆ
b, ˆcfor the same subspace. Start by letting ˆa=a.
b) Compute the projection P b of bonto the line described by a. What is the error (bP b)?
Call this error vector ˆ
b.
c) Compute the projection P1cof conto the plane described by aand b. What is the
error (cP1c)? Call this error vector ˆc. Does ˆcchange if we project onto the plane
with basis ˆaand ˆ
binstead? Why or why not?
d) What are the dot products ˆaTˆ
b, ˆaTˆc,ˆ
bTˆc? Are the new basis vectors orthogonal?
Now normalize the vectors to unit length. This is the Gram-Schmidt Process.
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MAT 242 Dr. Ibrahim SLN: 80071 Fall, 2007

MAT 242 Assignment D

Assignment due on Thursday, Nov. 8 in class.

D1: Prove that the system of linear equations   

x +2y = 4 x +y = 5 3 x +5y = 12

is inconsistent and find a least squares solution of the system.

D2: The points (0, 0), (1, 0), (2, 1), (3, 4), and (4, 8) are required to lie on a parabola y = a + bx + cx^2. Find a least squares solution for a, b, c. Also prove that no parabola passes through these points.

D3: Find the orthogonal projection of the vector b =

  

   onto the line given by the

vector a =

  

  . Give the orthogonal projection of any vector^ X^ =

  

x y z

   onto the same

line.

D4: A subspace S has basis

{a =

   

   ^ ,^ b^ =

   

   ^ ,^ c^ =

   

   ^ }

a) What are the dot products aT^ b, aT^ c, bT^ c? Are the basis vectors orthogonal? Now lets compute a new basis ˆa, ˆb, ˆc for the same subspace. Start by letting ˆa = a.

b) Compute the projection P b of b onto the line described by a. What is the error (b−P b)? Call this error vector ˆb.

c) Compute the projection P 1 c of c onto the plane described by a and b. What is the error (c − P 1 c)? Call this error vector ˆc. Does ˆc change if we project onto the plane with basis ˆa and ˆb instead? Why or why not?

d) What are the dot products ˆaT^ ˆb, ˆaT^ ˆc, ˆbT^ ˆc? Are the new basis vectors orthogonal? Now normalize the vectors to unit length. This is the Gram-Schmidt Process.

D5: Do Gram-Scmidt for the vector columns of the matrix A given by

A =

 

 .