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Solutions Manual – Linear Algebra and Its Applications, Global Edition (6th Edition, 2022, Lay)

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The Solutions Manual for Linear Algebra and Its Applications, Global Edition (6th Edition, 2022) by David C. Lay provides step-by-step worked solutions to all exercises in the textbook. This manual is an essential companion for mastering the fundamentals and applications of linear algebra. Key features include: Complete solutions to all end-of-chapter problems Reinforcement of core topics such as matrices, determinants, vector spaces, eigenvalues, and linear transformations Designed for self-study, homework support, and exam preparation Ideal for undergraduate students in mathematics, engineering, computer science, and applied sciences Perfect for building a strong foundation in linear algebra theory and applications, this manual saves time and improves comprehension. Linear algebra solutions, Lay 6th edition manual, Linear algebra applications, Linear algebra problems solved, Matrix algebra solutions, Vector space problems, Linear algebra exam prep, Linear algebra study guide, Eigenvalues and eigenvectors, Linear transformations manual, Mathematics solutions manual, Applied linear algebra, Linear algebra textbook answers, Engineering linear algebra, Computer science linear algebra, Determinants problems solved, Linear algebra practice problems, College math solutions, Linear algebra homework help, Global edition solutions

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Institución
Solution Manual
Grado
Solution Manual

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Subido en
25 de septiembre de 2025
Número de páginas
458
Escrito en
2025/2026
Tipo
Examen
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SOLUTIONS MANUAL

, 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
Copyright © 2016 Pearson Education, Ltd.

,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
3 x2 = 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
−3 x2 =
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, Ltd. 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
3 x1 − 7 x2 = 3 −7 5
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, Ltd.
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