Let M be an nxn matrix. (a) Suppose u and v are eigenvectors of M with eigenvalue k. Show that any linear combination of u and v is also an eigenvector of M with eigenvalue k. (b) If w is an eigenvector of M with eigenvalue h, show that w is also an eigenvector of Mm with eigenvalue hm, for any m € N. (c) If k₁ and k₂ are distinct eigenvalues of M, show that their corresponding eigenvectors are linearly independent.

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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Consider the following system of linear difference equations:
Xn+1 = -2xn - 22n
Yn+1 = Xn+ 3yn - Zn
Zn+1 = 2n + 3%n
with co=yo = 20 = 1.
Transcribed Image Text:Consider the following system of linear difference equations: Xn+1 = -2xn - 22n Yn+1 = Xn+ 3yn - Zn Zn+1 = 2n + 3%n with co=yo = 20 = 1.
Let M be an nxn matrix.
(a)
Suppose u and v are eigenvectors of M with eigenvalue k. Show that any linear
combination of u and v is also an eigenvector of M with eigenvalue k.
(b)
If w is an eigenvector of M with eigenvalue h, show that w is also an eigenvector
of Mm with eigenvalue hm, for any m € N.
(c)
If k₁ and k₂ are distinct eigenvalues of M, show that their corresponding
eigenvectors are linearly independent.
Transcribed Image Text:Let M be an nxn matrix. (a) Suppose u and v are eigenvectors of M with eigenvalue k. Show that any linear combination of u and v is also an eigenvector of M with eigenvalue k. (b) If w is an eigenvector of M with eigenvalue h, show that w is also an eigenvector of Mm with eigenvalue hm, for any m € N. (c) If k₁ and k₂ are distinct eigenvalues of M, show that their corresponding eigenvectors are linearly independent.
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