Solved Assignment 4 - Linear Algebra and Differential Equations | MATH 2250, Assignments of Mathematics

Material Type: Assignment; Class: Diff Equ & Lin Algebra; Subject: Mathematics; University: University of Utah; Term: Spring 2003;

Typology: Assignments

Pre 2010

Uploaded on 08/30/2009

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3.1
6) The following manipulations give the solution set.
1
2
E
1
!
E
1
,
3
E
1
+
E
2
!
E
2
This show that the system is inconsistent and there is no solution.
14) The following manipulations give the solution set.
E
1
,
E
2
!
E
1
(
putsa
1
asthef ir stel ement
)
,
3
E
1
+
E
2
!
E
2
,
2
E
1
+
E
3
!
E
3
9
E
2
,
23
E
3
!
E
3
Toget
z
=
,
4 and back substitution gives
y
= 3 and
x
=5.
22) The following manipulations give the solution set.
E
1
$
E
2
(
putsa
1
asthef ir stel ement
)
,
4
E
1
+
E
2
!
E
2
,
2
E
1
+
E
3
!
E
3
The second rowis a multiple of the third rowsothat wepick
z
to be arbitrary
z
=
t
. Back substituting gives
y
=
,
5
t
and
x
=
,
4
t
for some
t
2
R
.
26) Plugging in the two initial conditions yields the system
A
+
B
= 44
11
A
,
11
B
= 22
The following manipulations give the solution set.
1
=
11
E
2
!
E
2
,
E
1
+
E
2
!
E
2
,
1
=
2
E
2
!
E
2
This shows that
B
=21and
A
=23. The particular solution is
y
(
x
)=23
e
11
x
+21
e
,
11
x
.
3.2
14) Werow reduce the following augmented matrix
2
4
3
,
6
,
21
2
,
4 1 17
1
,
2
,
2
,
9
3
5
using the following elementary row operations.
R
1
$
R
3
,
2
R
1
+
R
2
!
R
2
,
3
R
1
+
R
3
!
R
3
We see that
x
3
= 7 and that
R
3
is a multiple of
R
2
,sowe pick the free variable
x
2
=
t
. Back substituting we get that
x
1
=2
t
+5.
20) Werow reduce the following augmented matrix
2
4
2 4
,
1
,
2 2 6
1 3 2
,
7 3 9
5 8
,
7 6 1 4
3
5
1
pf3
pf4

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3.1 6) The following manipulations give the solution set.

1 2

E 1! E 1

3 E 1 + E 2! E 2

This show that the system is inconsistent and there is no solution.

  1. The following manipulations give the solution set.

E 1 E 2! E 1 (putsa 1 asthef ir stel ement) 3 E 1 + E 2! E 2 2 E 1 + E 3! E 3 9 E 2 23 E 3! E 3

To get z = 4 and back substitution gives y = 3 and x = 5.

  1. The following manipulations give the solution set.

E 1 $ E 2 (putsa 1 asthef ir stel ement) 4 E 1 + E 2! E 2 2 E 1 + E 3! E 3

The second row is a multiple of the third row so that we pick z to b e arbitrary z = t. Back substituting gives y = 5 t and x = 4 t for some t 2 R.

  1. Plugging in the two initial conditions yields the system

A + B = 44 11 A 11 B = 22

The following manipulations give the solution set.

1 = 11 E 2! E 2 E 1 + E 2! E 2 1 = 2 E 2! E 2

This shows that B = 21 and A = 23. The particular solution is y (x) = 23 e^11 x + 21 e^11 x.

3.2 14) We row reduce the following augmented matrix

using the following elementary row op erations.

R 1 $ R 3 2 R 1 + R 2! R 2 3 R 1 + R 3! R 3

We see that x 3 = 7 and that R 3 is a multiple of R 2 , so we pick the free variable x 2 = t. Back substituting we get that x 1 = 2 t + 5.

  1. We row reduce the following augmented matrix

using the following elementary row op erations.

R 1 $ R 2 2 R 1 + R 2! R 2 5 R 1 + R 3! R 3 4 R 2 + R 3! R 3 R 2 $ R 3 2 R 2 + R 3! R 3

which yields the echelon matrix 2

The free variables are x 4 = s and x 5 = t. Then x 3 = 2 s + 2, x 2 = 1 + s 2 t, and x 1 = 2 + 3 t.

  1. Using elementary row op erations we can reduce

2 1 3 a 1 2 1 b 7 4 9 c

to 2

1 2 1 b 0 5 1 a 2 b 0 0 0 c 2 a 3 b

If c 2 a 3 b = 0, then we have a row of zeros, and we get that z = t is a free variables and an in nite numb er of solutions ( 75 t 2 a + 5 b; 15 t + a 2 b; t). If c 2 a 3 b 6 = 0, then we have an inconsistent system with no solution.

3.3 8) We take the matrix 2

and using the following elementary row op erations

3 R 1 + R 2! R 2 R 1 + R 3! R 3 R 2 R 3! R 2 2 R 2 + R 3! R 3 1 = 12 R 3! R 3 10 R 3 + R 2! R 2 5 R 3 + R 1! R 1 4 R 2 + R 1! R 1

which yields the reduced echelon matrix of the identity matrix.

16) We take the 3  4 matrix 2

and using the following elementary row op erations

2 R 1 + R 2! R 2 2 R 1 + R 3! R 3 1 = 2 R 2! R 2 R 2 + R 3! R 3 3 R 2 + R 1! R 1

  1. a)If x 0 solves Ax = 0, then Ax 1 = 0. Similarly, if x 1 solves Ax = b, then Ax 1 = b. Adding the two equations together we get Ax 0 + Ax 1 = 0 + b A(x 0 + x 1 ) = b so that x 0 + x 1 also solves Ax = b. b) Ax 1 Ax 2 = b b A(x 1 x 2 ) = 0 so x 1 x 2 solve the homogeneous equation Ax = 0.