SOLUTION MANUAL
All Chapters Included
LINEAR ALGEBRA
AND ITS APPLICATIONS
FIFTH EDITION
GLOBAL EDITION
David C. Lay
University of Maryland
Steven R. Lay
Lee University
Judi J. McDonald
Washington State University
, Contents
Chapter 1 1-1
Chapter 2 2-1
Chapter 3 3-1
Chapter 4 4-1
Chapter 5 5-1
Chapter 6 6-1
Chapter 7 7-1
Chapter 8 8-1
iii
, 1. LINEAR EQUATIONS IN ALGEBRA
1.1 SOLUTIONS
Notes: The key exercises are 7 (or 11 or 12), 19–22, and 25. For brevity, the symbols R1, R2,…, stand
for row 1 (or equation 1), row 2 (or equation 2), and so on. Additional notes are at the end of the section.
x 5x 7 1 5 7
1. 2x 1 7x 2 5 2 7 5
1 2
x1 5x2 7 1 5 7
Replace R2 by R2 + (2)R1 and obtain: 0
3x2 9 3 9
Scale R2 by 1/3: x1 5x2 7 1 5 7
x2 3 0 1 3
Replace R1 by R1 + (–5)R2: x1 8 1 0 8
x2 3 0 1 3
The solution is (x1, x2) = (–8, 3), or simply (–8, 3).
2x1 4x2 4
2. 2 4 4
5x 7x 11 5 7 11
1 2
Scale R1 by 1/2 and obtain: x1 2x2 2 1 2 2
5x 7x 11 5 7 11
1 2
Replace R2 by R2 + (–5)R1: x1 2x2 2 1 2 2
3x 21 0 3 21
2
Scale R2 by –1/3: x1 2x2 2 1 2 2
x 7 0 1 7
2
Replace R1 by R1 + (–2)R2: x1 12 1 0 12
x 7 0 1 7
2
The solution is (x1, x2) = (12, –7), or simply (12, –7).
Copyright © 2016 Pearson Education, Ltd. 1-1
, 1-2 CHAPTER 1 • Linear Equations in Linear Algebra
3. The point of intersection satisfies the system of two linear equations:
x 5x 7 1 5 7
x1 2x 2 2 1 2 2
1 2
x1 5x2 7 1 5 7
Replace R2 by R2 + (–1)R1 and obtain: 7x 9 0 7 9
2
x1 5x2 7 1 5 7
Scale R2 by –1/7: 0
x2 9/7 1 9/7
x1 4/7 1 0 4/7
Replace R1 by R1 + (–5)R2: 0
x2 9/7 1 9/7
The point of intersection is (x1, x2) = (4/7, 9/7).
4. The point of intersection satisfies the system of two linear equations:
x1 5x2 1
3x 7x 5 31 7
5 1
5
1 2
x1 5x2 1 1 5 1
Replace R2 by R2 + (–3)R1 and obtain: 0
8x2 2 8 2
x1 5x2 1 1 5 1
Scale R2 by 1/8: 0
x2 1/4 1 1/4
x1 9/4 1 0 9/4
Replace R1 by R1 + (5)R2: 0
x2 1/4 1 1/4
The point of intersection is (x1, x2) = (9/4, 1/4).
5. The system is already in “triangular” form. The fourth equation is x4 = –5, and the other equations do
not contain the variable x4. The next two steps should be to use the variable x3 in the third equation to
eliminate that variable from the first two equations. In matrix notation, that means to replace R2 by
its sum with 3 times R3, and then replace R1 by its sum with –5 times R3.
6. One more step will put the system in triangular form. Replace R4 by its sum with –3 times R3, which
1 6 4 0 1
0 2 7 0 4
produces . After that, the next step is to scale the fourth row by –1/5.
0
0 1 2 3
0 0 0 5 15
7. Ordinarily, the next step would be to interchange R3 and R4, to put a 1 in the third row and third
column. But in this case, the third row of the augmented matrix corresponds to the equation 0 x1 + 0
x2 + 0 x3 = 1, or simply, 0 = 1. A system containing this condition has no solution. Further row
operations are unnecessary once an equation such as 0 = 1 is evident.
The solution set is empty.
Copyright © 2016 Pearson Education, Ltd.
All Chapters Included
LINEAR ALGEBRA
AND ITS APPLICATIONS
FIFTH EDITION
GLOBAL EDITION
David C. Lay
University of Maryland
Steven R. Lay
Lee University
Judi J. McDonald
Washington State University
, Contents
Chapter 1 1-1
Chapter 2 2-1
Chapter 3 3-1
Chapter 4 4-1
Chapter 5 5-1
Chapter 6 6-1
Chapter 7 7-1
Chapter 8 8-1
iii
, 1. LINEAR EQUATIONS IN ALGEBRA
1.1 SOLUTIONS
Notes: The key exercises are 7 (or 11 or 12), 19–22, and 25. For brevity, the symbols R1, R2,…, stand
for row 1 (or equation 1), row 2 (or equation 2), and so on. Additional notes are at the end of the section.
x 5x 7 1 5 7
1. 2x 1 7x 2 5 2 7 5
1 2
x1 5x2 7 1 5 7
Replace R2 by R2 + (2)R1 and obtain: 0
3x2 9 3 9
Scale R2 by 1/3: x1 5x2 7 1 5 7
x2 3 0 1 3
Replace R1 by R1 + (–5)R2: x1 8 1 0 8
x2 3 0 1 3
The solution is (x1, x2) = (–8, 3), or simply (–8, 3).
2x1 4x2 4
2. 2 4 4
5x 7x 11 5 7 11
1 2
Scale R1 by 1/2 and obtain: x1 2x2 2 1 2 2
5x 7x 11 5 7 11
1 2
Replace R2 by R2 + (–5)R1: x1 2x2 2 1 2 2
3x 21 0 3 21
2
Scale R2 by –1/3: x1 2x2 2 1 2 2
x 7 0 1 7
2
Replace R1 by R1 + (–2)R2: x1 12 1 0 12
x 7 0 1 7
2
The solution is (x1, x2) = (12, –7), or simply (12, –7).
Copyright © 2016 Pearson Education, Ltd. 1-1
, 1-2 CHAPTER 1 • Linear Equations in Linear Algebra
3. The point of intersection satisfies the system of two linear equations:
x 5x 7 1 5 7
x1 2x 2 2 1 2 2
1 2
x1 5x2 7 1 5 7
Replace R2 by R2 + (–1)R1 and obtain: 7x 9 0 7 9
2
x1 5x2 7 1 5 7
Scale R2 by –1/7: 0
x2 9/7 1 9/7
x1 4/7 1 0 4/7
Replace R1 by R1 + (–5)R2: 0
x2 9/7 1 9/7
The point of intersection is (x1, x2) = (4/7, 9/7).
4. The point of intersection satisfies the system of two linear equations:
x1 5x2 1
3x 7x 5 31 7
5 1
5
1 2
x1 5x2 1 1 5 1
Replace R2 by R2 + (–3)R1 and obtain: 0
8x2 2 8 2
x1 5x2 1 1 5 1
Scale R2 by 1/8: 0
x2 1/4 1 1/4
x1 9/4 1 0 9/4
Replace R1 by R1 + (5)R2: 0
x2 1/4 1 1/4
The point of intersection is (x1, x2) = (9/4, 1/4).
5. The system is already in “triangular” form. The fourth equation is x4 = –5, and the other equations do
not contain the variable x4. The next two steps should be to use the variable x3 in the third equation to
eliminate that variable from the first two equations. In matrix notation, that means to replace R2 by
its sum with 3 times R3, and then replace R1 by its sum with –5 times R3.
6. One more step will put the system in triangular form. Replace R4 by its sum with –3 times R3, which
1 6 4 0 1
0 2 7 0 4
produces . After that, the next step is to scale the fourth row by –1/5.
0
0 1 2 3
0 0 0 5 15
7. Ordinarily, the next step would be to interchange R3 and R4, to put a 1 in the third row and third
column. But in this case, the third row of the augmented matrix corresponds to the equation 0 x1 + 0
x2 + 0 x3 = 1, or simply, 0 = 1. A system containing this condition has no solution. Further row
operations are unnecessary once an equation such as 0 = 1 is evident.
The solution set is empty.
Copyright © 2016 Pearson Education, Ltd.
