determinant of A is the product of the diagonal entries 21. a. The in A. b. An elementary row operation on A does not change the determinant. c. (det A) (det B) = det AB d. If λ +5 is a factor of the characteristic polynomial of A, then 5 is an eigenvalue of A.

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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21 pl

17.
-5 1
38
0 -7
1
-4
DOON9
A =
0
0
1
9-2
0
0
2
18. It can be shown that the algebraic multiplicity of an eigen-
value is always greater than or equal to the dimension of the
eigenspace corresponding to λ. Find h in the matrix A below
such that the eigenspace for λ = 5 is two-dimensional:
5 -2
6 -17
0
3
h 0
4
0
0 5
0
001
0
0
0
3
19. Let A be an n x n matrix, and suppose A has n real eigenval-
ues, A₁,..., An, repeated according to multiplicities, so that
det(A-1) = (₁ - λ) (λ₂ λ)... (λn - λ)
-
Explain why det A is the product of the n eigenvalues of
A. (This result is true for any square matrix when complex
eigenvalues are considered.)
20. Use a property of determinants to show that A and AT have
the same characteristic polynomial.
In Exercises 21 and 22, A and B are n x n matrices. Mark each
statement True or False. Justify each answer.
25. Le
th
21. a. The determinant of A is the product of the diagonal entries
in A.
determinant.
b. An elementary row operation on A does not change the
c. (det A) (det B) = det AB
then 5 is an eigenvalue of A.
d. If λ + 5 is a factor of the characteristic polynomial of A,
26.
a
t
C
27.
Transcribed Image Text:17. -5 1 38 0 -7 1 -4 DOON9 A = 0 0 1 9-2 0 0 2 18. It can be shown that the algebraic multiplicity of an eigen- value is always greater than or equal to the dimension of the eigenspace corresponding to λ. Find h in the matrix A below such that the eigenspace for λ = 5 is two-dimensional: 5 -2 6 -17 0 3 h 0 4 0 0 5 0 001 0 0 0 3 19. Let A be an n x n matrix, and suppose A has n real eigenval- ues, A₁,..., An, repeated according to multiplicities, so that det(A-1) = (₁ - λ) (λ₂ λ)... (λn - λ) - Explain why det A is the product of the n eigenvalues of A. (This result is true for any square matrix when complex eigenvalues are considered.) 20. Use a property of determinants to show that A and AT have the same characteristic polynomial. In Exercises 21 and 22, A and B are n x n matrices. Mark each statement True or False. Justify each answer. 25. Le th 21. a. The determinant of A is the product of the diagonal entries in A. determinant. b. An elementary row operation on A does not change the c. (det A) (det B) = det AB then 5 is an eigenvalue of A. d. If λ + 5 is a factor of the characteristic polynomial of A, 26. a t C 27.
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