21/a. In some cases, a matrix may be row reduced to more than one matrix in reduced echelon form, using different sequences of row operations. b. The row reduction algorithm applies only to augmented matrices for a linear system. c. A basic variable in a linear system is a variable that corresponds to a pivot column in the coefficient matrix. d. Finding a parametric description of the solution set of a linear system is the same as solving the system. Mala e. If one row in an echelon form of an augmented matrix is [0 0 0 5 0], then the associated linear system is inconsistent.

Algebra and Trigonometry (6th Edition)
6th Edition
ISBN:9780134463216
Author:Robert F. Blitzer
Publisher:Robert F. Blitzer
ChapterP: Prerequisites: Fundamental Concepts Of Algebra
Section: Chapter Questions
Problem 1MCCP: In Exercises 1-25, simplify the given expression or perform the indicated operation (and simplify,...
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21
22 CHAPTER 1 Linear Equations in Linear Algebra
3.
9.
1
2. a. 0
0
11.
13.
14.
C.
d.
15. a.
b.
1
4
6
1
0
0
0
-9
-6
1
1
0
0
3
0
0
0
0
3
0
1-2
0
0
Го
257
los Baodisab
Row reduce the matrices in Exercises 3 and 4 to reduced echelon
form. Circle the pivot positions in the final matrix and in the
original matrix, and list the pivot columns.
ETRY
4.
1
0
0
1
0 0
1-3
0
1
0
0
0
1
1
0
1
0
0
0
3 4
9 7
0
0
1
2
0
0
0
0 0
1 0
1
1
0
6
1 -6 5
7-6
3 4
6 7
7 8 9 Instavin
0
5. Describe the possible echelon forms of a nonzero 2 x 2
matrix. Use the symbols, *, and 0, as in the first part of
Example 1.
6. Repeat Exercise 5 for a nonzero 3 x 2 matrix.
Find the general solutions of the systems whose augmented ma-
trices are given in Exercises 7-14.
7.
-4 2 0
12 -6
1
8 -4 0
1
0
1
2 2
0 3
0 0
]
2 -5 -6
1 -6-3
0 0 01
0
*
*
*
*
■
0 ■ 0
*
00
0 000
*
b.
0 -1 0 -27
0
0-4 1
0
1 9 4
0 0 0
0-5
0 2
0
0 0 0 0
8.
10.
*
12.
1
0
0
HAS
[1
3
3
5
5 7
[2
[3
1
1
01
gas zoldsha
0
0
1
0
0
-1
1
4
7
1 -2 -1
-6 -2
0
0
1
5 7
7
9
9 1
Exercises 15 and 16 use the notation of Example 1 for matrices
in echelon form. Suppose each matrix represents the augmented
matrix for a system of linear equations. In each case, determine if
the system is consistent. If the system is consistent, determine if
the solution is unique.
71
10
07
2]
0 6
-7
5
0 1-2
-2 -3
7-4
2
7
16. a.
O
Wow
b.
17.
2
0
■
0
4
0
3
In Exercises 17 and 18, determine the value(s) of h such that the
matrix is the augmented matrix of a consistent linear system.
h
47]
6
:)
0 0
Jinsi In Exercises 19 and 20, choose h and k such that the system has
(a) no solution, (b) a unique solution, and (c) many solutions. Give
separate answers for each part.
0
00
19. x₁ + hx₂ = 2
Banom 4x₁ + 8x₂ = k
*
■
3
*
18.
1 -3 -2
5
h -7
20. x₁ + 3x₂ = 2
3x₁ + hx₂ = k
b. The row reduction algorithm applies only to augmented
is toxins in matrices for a linear system.
In Exercises 21 and 22, mark each statement True or False. Justify
each answer.4
21//a.
In some cases, a matrix may be row reduced to more
than one matrix in reduced echelon form, using different
sequences of row operations.
c. A basic variable in a linear system is a variable that
corresponds to a pivot column in the coefficient matrix.
d. Finding a parametric description of the solution set of a
22400 linear system is the same as solving the system.
lule
e. If one row in an echelon form of an augmented matrix
is [0 0 0 5 0], then the associated linear system is
inconsistent.
22. a The echelon form of a matrix is unique.
2
b. The pivot positions in a matrix depend on whether row
interchanges are used in the row reduction process.
c. Reducing a matrix to echelon form is called the forward
phase of the row reduction process.
d. Whenever a system has free variables, the solution set
contains many solutions.
e. A general solution of a system is an explicit description
of all solutions of the system.
23. Suppose a 3 x 5 coefficient matrix for a system has three
pivot columns. Is the system consistent? Why or why not?
24. Suppose a system of linear equations has a 3 x 5 augmented
matrix whose fifth column is a pivot column. Is the system
consistent? Why (or why not)?
4 True/false questions of this type will appear in many sections. Methods
for justifying your answers were described before Exercises 23 and 24 in
Section 1.1.
Transcribed Image Text:22 CHAPTER 1 Linear Equations in Linear Algebra 3. 9. 1 2. a. 0 0 11. 13. 14. C. d. 15. a. b. 1 4 6 1 0 0 0 -9 -6 1 1 0 0 3 0 0 0 0 3 0 1-2 0 0 Го 257 los Baodisab Row reduce the matrices in Exercises 3 and 4 to reduced echelon form. Circle the pivot positions in the final matrix and in the original matrix, and list the pivot columns. ETRY 4. 1 0 0 1 0 0 1-3 0 1 0 0 0 1 1 0 1 0 0 0 3 4 9 7 0 0 1 2 0 0 0 0 0 1 0 1 1 0 6 1 -6 5 7-6 3 4 6 7 7 8 9 Instavin 0 5. Describe the possible echelon forms of a nonzero 2 x 2 matrix. Use the symbols, *, and 0, as in the first part of Example 1. 6. Repeat Exercise 5 for a nonzero 3 x 2 matrix. Find the general solutions of the systems whose augmented ma- trices are given in Exercises 7-14. 7. -4 2 0 12 -6 1 8 -4 0 1 0 1 2 2 0 3 0 0 ] 2 -5 -6 1 -6-3 0 0 01 0 * * * * ■ 0 ■ 0 * 00 0 000 * b. 0 -1 0 -27 0 0-4 1 0 1 9 4 0 0 0 0-5 0 2 0 0 0 0 0 8. 10. * 12. 1 0 0 HAS [1 3 3 5 5 7 [2 [3 1 1 01 gas zoldsha 0 0 1 0 0 -1 1 4 7 1 -2 -1 -6 -2 0 0 1 5 7 7 9 9 1 Exercises 15 and 16 use the notation of Example 1 for matrices in echelon form. Suppose each matrix represents the augmented matrix for a system of linear equations. In each case, determine if the system is consistent. If the system is consistent, determine if the solution is unique. 71 10 07 2] 0 6 -7 5 0 1-2 -2 -3 7-4 2 7 16. a. O Wow b. 17. 2 0 ■ 0 4 0 3 In Exercises 17 and 18, determine the value(s) of h such that the matrix is the augmented matrix of a consistent linear system. h 47] 6 :) 0 0 Jinsi In Exercises 19 and 20, choose h and k such that the system has (a) no solution, (b) a unique solution, and (c) many solutions. Give separate answers for each part. 0 00 19. x₁ + hx₂ = 2 Banom 4x₁ + 8x₂ = k * ■ 3 * 18. 1 -3 -2 5 h -7 20. x₁ + 3x₂ = 2 3x₁ + hx₂ = k b. The row reduction algorithm applies only to augmented is toxins in matrices for a linear system. In Exercises 21 and 22, mark each statement True or False. Justify each answer.4 21//a. In some cases, a matrix may be row reduced to more than one matrix in reduced echelon form, using different sequences of row operations. c. A basic variable in a linear system is a variable that corresponds to a pivot column in the coefficient matrix. d. Finding a parametric description of the solution set of a 22400 linear system is the same as solving the system. lule e. If one row in an echelon form of an augmented matrix is [0 0 0 5 0], then the associated linear system is inconsistent. 22. a The echelon form of a matrix is unique. 2 b. The pivot positions in a matrix depend on whether row interchanges are used in the row reduction process. c. Reducing a matrix to echelon form is called the forward phase of the row reduction process. d. Whenever a system has free variables, the solution set contains many solutions. e. A general solution of a system is an explicit description of all solutions of the system. 23. Suppose a 3 x 5 coefficient matrix for a system has three pivot columns. Is the system consistent? Why or why not? 24. Suppose a system of linear equations has a 3 x 5 augmented matrix whose fifth column is a pivot column. Is the system consistent? Why (or why not)? 4 True/false questions of this type will appear in many sections. Methods for justifying your answers were described before Exercises 23 and 24 in Section 1.1.
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