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Linear Algebra and Its Applications – Instructor’s Solutions Manual (David C. Lay, Steven R. Lay & Judi J. McDonald) | Complete Worked Solutions

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Linear Algebra and Its Applications – Instructor’s Solutions Manual (David C. Lay, Steven R. Lay & Judi J. McDonald) | Complete Worked Solutions

Institution
Linear Algebra And Its Applications
Course
Linear Algebra and Its Applications

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INSTRUCTOR’S SOLUTIONS
MANUAL
JUDI J. MCDONALD
Washington State University




LINEAR ALGEBRA
AND ITS APPLICATIONS
FIFTH EDITION


David C. Lay
University of Maryland

Steven R. Lay
Lee University

Judi J. McDonald
Washington State University

,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.

x1  5 x2  7  1 5 7
1.  2
2 x1  7 x2  5  7 5 
x1  5 x2  7 1 5 7
Replace R2 by R2 + (2)R1 and obtain: 0
3x2  9  3 9 
x1  5 x2  7 1 5 7
Scale R2 by 1/3: 0
x2  3  1 3 
x1  8 1 0 8
Replace R1 by R1 + (–5)R2: 0
x2  3  1 3
The solution is (x1, x2) = (–8, 3), or simply (–8, 3).

2 x1  4 x2  4 2 4 4 
2. 5
5 x1  7 x2  11  7 11 
x1  2 x2  2 1 2 2 
Scale R1 by 1/2 and obtain: 5
5 x1  7 x2  11  7 11 
x1  2 x2  2 1 2 2 
Replace R2 by R2 + (–5)R1: 0
3x2  21  3 21
x1  2 x2  2 1 2 2 
Scale R2 by –1/3: 0
x2  7  1 7 
x1  12 1 0 12 
Replace R1 by R1 + (–2)R2: 0
x2  7  1 7 
The solution is (x1, x2) = (12, –7), or simply (12, –7).



Copyright © 2016 Pearson Education, Inc. 1-1

,1-2 CHAPTER 1 • Linear Equations in Linear Algebra


3. The point of intersection satisfies the system of two linear equations:
x1  5 x2  7 1 5 7
x1  2 x2  2  
1 2 2 
x1  5 x2  7 1 5 7
Replace R2 by R2 + (–1)R1 and obtain: 0
7 x2  9  7 9 
x1  5 x2  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  5 x2  1  1 5 1
3x1  7 x2  5  3 7 5 
 
x1  5 x2  1 1 5 1
Replace R2 by R2 + (–3)R1 and obtain: 0
8 x2  2  8 2 
x1  5 x2  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, Inc.

, 1.1 • Solutions 1-3


8. The standard row operations are:
1 4 9 0  1 4 9 0  1 4 0 0  1 0 0 0
0 1 7 0  ~ 0 1 7 0  ~ 0 1 0 0  ~ 0 1 0 0 

0 0 2 0  0 0 1 0  0 0 1 0  0 0 1 0 
The solution set contains one solution: (0, 0, 0).

9. The system has already been reduced to triangular form. Begin by scaling the fourth row by 1/2 and
then replacing R3 by R3 + (3)R4:
1 1 0 0 4   1 1 0 0 4   1 1 0 0 4 
0 1 3 0 7  0 1 3 0 7  0 1 3 0 7 
 ~ ~ 
0 0 1 3 1 0 0 1 3 1 0 0 1 0 5
     
0 0 0 2 4 0 0 0 1 2  0 0 0 1 2
Next, replace R2 by R2 + (3)R3. Finally, replace R1 by R1 + R2:
1 1 0 0 4   1 0 0 0 4
0 1 0 0 8 0 1 0 0 8
~ ~
0 0 1 0 5 0 0 1 0 5
   
0 0 0 1 2  0 0 0 1 2
The solution set contains one solution: (4, 8, 5, 2).

10. The system has already been reduced to triangular form. Use the 1 in the fourth row to change the
–4 and 3 above it to zeros. That is, replace R2 by R2 + (4)R4 and replace R1 by R1 + (–3)R4. For the
final step, replace R1 by R1 + (2)R2.
1 2 0 3 2   1 2 0 0 7  1 0 0 0 3
0 1 0 4 7  0 1 0 0 5 0 1 0 0 5
 ~ ~
0 0 1 0 6  0 0 1 0 6  0 0 1 0 6
     
0 0 0 1 3 0 0 0 1 3 0 0 0 1 3
The solution set contains one solution: (–3, –5, 6, –3).

11. First, swap R1 and R2. Then replace R3 by R3 + (–3)R1. Finally, replace R3 by R3 + (2)R2.
0 1 4 5  1 3 5 2  1 3 5 2  1 3 5 2
1 3 5 2 ~ 0 1 4 5 ~ 0 1 4 5 ~ 0 1 4 5

 3 7 7 6  3 7 7 6 0 2 8 12 0 0 0 2
The system is inconsistent, because the last row would require that 0 = 2 if there were a solution.
The solution set is empty.

12. Replace R2 by R2 + (–3)R1 and replace R3 by R3 + (4)R1. Finally, replace R3 by R3 + (3)R2.
 1 3 4 4  1 3 4 4  1 3 4 4
 3 7 7 8 ~ 0  2 5  
4  ~ 0 2 5 4

 4 6 1 7  0 6 15 9 0 0 0 3
The system is inconsistent, because the last row would require that 0 = 3 if there were a solution.
The solution set is empty.


Copyright © 2016 Pearson Education, Inc.

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Institution
Linear Algebra and Its Applications
Course
Linear Algebra and Its Applications

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