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Solutions Manual – Linear Algebra and Its Applications (5th Edition) by Lay & McDonald

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INSTANT PDF DOWNLOAD — Student Solutions Manual for Linear Algebra and Its Applications (5th Edition) by David C. Lay, Steven R. Lay, and Judi J. McDonald. Covers all 7 chapters with complete worked-out solutions, step-by-step problem-solving, and conceptual explanations. Ideal for math, engineering, and data science students mastering matrices, eigenvalues, and vector spaces. Linear Algebra, Solutions Manual, David C. Lay, Steven R. Lay, Judi J. McDonald, Matrix Algebra, Eigenvalues, Vector Spaces, Linear Systems, Math Textbook, Linear Transformations, College Algebra, Linear Equations, Matrix Operations, Applied Mathematics, Engineering Math, Study Guide PDF, Problem Solutions, Math Resource, 5th Edition, Exam Preparation, Academic Solutions

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ALL 7 CHAPTERS COVERED




SOLUTIONS MANUAL

,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 x1 − 7 x2 = −5  −2 −7 −5

x1 + 5 x2 = 7 1 5 7
Replace R2 by R2 + (2)R1 and obtain:
3x2 = 9 0 9 
 3
x1 + 5 x2 = 7 1 5 7
Scale R2 by 1/3:
x2 = 3 0 3 
 1
x1 = −8 1 0 −8
Replace R1 by R1 + (–5)R2:
x2 = 3 0 3
 1
The solution is (x1, x2) = (–8, 3), or simply (–8, 3).

2 x1 + 4 x2 = −4 2 4 −4 
2.
5 x1 + 7 x2 = 11 5 11 
 7
x1 + 2 x2 = −2 1 2 −2 
Scale R1 by 1/2 and obtain:
5 x1 + 7 x2 = 11 5 11 
 7
x1 + 2 x2 = −2 1 2 −2 
Replace R2 by R2 + (–5)R1:
−3x2 = 21 0 −3 21

x1 + 2 x2 = −2 1 2 −2 
Scale R2 by –1/3:
x2 = −7 0 −7 
 1
x1 = 12 1 0 12 
Replace R1 by R1 + (–2)R2:
x2 = −7 0 −7 
 1
The solution is (x1, x2) = (12, –7), or simply (12, –7).




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:
−7 x2 = −9 0 −7 −9 

x1 + 5 x2 = 7 1 5 7 
Scale R2 by –1/7:
x2 = 9/7 0 9/7 
 1
x1 = 4/7 1 0 4/7 
Replace R1 by R1 + (–5)R2:
x2 = 9/7 0 9/7 
 1
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:
8 x2 = 2 0 2 
 8
x1 − 5 x2 = 1 1 −5 1
Scale R2 by 1/8:
x2 = 1/4 0 1 1/4 

x1 = 9/4 1 0 9/4 
Replace R1 by R1 + (5)R2:
x2 = 1/4 0 1/4 
 1
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.

, 1.1 • Solutions 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.

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