Let A be a n × n matrix with real entries and let A1 = a + bi (where a and b are real and b# 0) be an eigenvalue of A. Let z1 = x + iy (where x and y both have real entries) be an eigenvector of A corresponding to A1, and let z2 = x – iy. (a) Explain why z1 and z2 must be linearly independent as vectors in C". (b) Show that y # 0 and that x and y are linearly independent as vectors in R".
Let A be a n × n matrix with real entries and let A1 = a + bi (where a and b are real and b# 0) be an eigenvalue of A. Let z1 = x + iy (where x and y both have real entries) be an eigenvector of A corresponding to A1, and let z2 = x – iy. (a) Explain why z1 and z2 must be linearly independent as vectors in C". (b) Show that y # 0 and that x and y are linearly independent as vectors in R".
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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Transcribed Image Text:3. Let A be an x n matrix with real entries and let A = a + bi (where a and b are real and
b# 0) be an eigenvalue of A. Let z1 = x+ iy (where x and y both have real entries) be an
eigenvector of A corresponding to A1, and let z2 = x – iy.
(a) Explain why z1 and z2 must be linearly independent as vectors in C".
(b) Show that y + 0 and that x and y are linearly independent as vectors in R".
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