Prove that if X #0 is an eigenvalue of an invertible matrix A, then is an eigenvalue of A-¹ Proof: Suppose is an eigenvector of eigenvalue A, then Au = Xu. Since A is invertible, we can multiply both sides of Au = Xu by Au = λύ. so This implies that Since A #0 we obtain that Thus is an eigenvalue of 4-¹. Q.E.D.

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
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Prove that if X #0 is an eigenvalue of an invertible matrix A, then
X
Proof:
Suppose is an eigenvector of eigenvalue X, then Av = Xv.
Since A is invertible, we can multiply both sides of Au = Xu by
Au
Av.
so
This implies that
Since A #0 we obtain that
1 is an eigenvalue of A-¹.
Thus
A. X-¹AVUV
=
B. A =
= 1
C. Au =
E. — 10
F. 1/1
=10
D. = A-¹Xü
-v=A-¹7
H. A ¹
I. X-1
G. A = A
is an eigenvalue of A-¹.
Q.E.D.
Transcribed Image Text:Prove that if X #0 is an eigenvalue of an invertible matrix A, then X Proof: Suppose is an eigenvector of eigenvalue X, then Av = Xv. Since A is invertible, we can multiply both sides of Au = Xu by Au Av. so This implies that Since A #0 we obtain that 1 is an eigenvalue of A-¹. Thus A. X-¹AVUV = B. A = = 1 C. Au = E. — 10 F. 1/1 =10 D. = A-¹Xü -v=A-¹7 H. A ¹ I. X-1 G. A = A is an eigenvalue of A-¹. Q.E.D.
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