22. Determine the values of a such that the matrices

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
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Help with question 22

In Exercises 15-18, explain, without solving a linear
system, why the set of vectors is linearly dependent.
15. V₁ =
16. V₁ =
V3
17. V₁ =
V3 =
18. V₁ =
V3 =
4
-A
2
[ - ] v² = [2¹²]
V2
[3]
19. a. A =
-1
4
b. A =
20. a. A =
-6
b. A =
2
V₂ =
In Exercises 19 and 20, explain, without solving a
linear system, why the column vectors of the matrix A
are linearly dependent.
[ 32]
-2
-1
V₂ =
-1
2 5
-6 3
3
2 -4 3
V2 =
2 1 3
1
2
−1
3
4 −1
5 -2
[8]
0
310
1 0
20
2 3
3 1
-1 0
5 2
629
4 -3 -2
21. Determine the values of a such that the vectors
[] []
are linearly independent.
2.3 Linear Independence 121
22. Determine the values of a such that the matrices
2
619
²]
]
23. Let
are linearly independent.
0
--0--0
V2 = 2
=
24. Let
can be written as
a. Show that the vectors are linearly independent.
b. Find the unique scalars c₁, C2, C3 such that the
vector
V =
3
1
M-[48] -
M₁
=
M₂ =
-1
M-88
M3
1
2
a
V = C₁V1 + C2V2 + C3V3
–4
[3]
-2
M =
can be written as
--0
V3 =
2
a. Show that the matrices are linearly
independent.
3 5
4
3
b. Find the unique scalars c₁, C2, C3 such that the
matrix
08
M = C₁ M₁ + C2M2 + C3 M3
Transcribed Image Text:In Exercises 15-18, explain, without solving a linear system, why the set of vectors is linearly dependent. 15. V₁ = 16. V₁ = V3 17. V₁ = V3 = 18. V₁ = V3 = 4 -A 2 [ - ] v² = [2¹²] V2 [3] 19. a. A = -1 4 b. A = 20. a. A = -6 b. A = 2 V₂ = In Exercises 19 and 20, explain, without solving a linear system, why the column vectors of the matrix A are linearly dependent. [ 32] -2 -1 V₂ = -1 2 5 -6 3 3 2 -4 3 V2 = 2 1 3 1 2 −1 3 4 −1 5 -2 [8] 0 310 1 0 20 2 3 3 1 -1 0 5 2 629 4 -3 -2 21. Determine the values of a such that the vectors [] [] are linearly independent. 2.3 Linear Independence 121 22. Determine the values of a such that the matrices 2 619 ²] ] 23. Let are linearly independent. 0 --0--0 V2 = 2 = 24. Let can be written as a. Show that the vectors are linearly independent. b. Find the unique scalars c₁, C2, C3 such that the vector V = 3 1 M-[48] - M₁ = M₂ = -1 M-88 M3 1 2 a V = C₁V1 + C2V2 + C3V3 –4 [3] -2 M = can be written as --0 V3 = 2 a. Show that the matrices are linearly independent. 3 5 4 3 b. Find the unique scalars c₁, C2, C3 such that the matrix 08 M = C₁ M₁ + C2M2 + C3 M3
Expert Solution
Step 1

22. Given that the matrices are

                      1201, 1010, 1-4a-2.

 

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