Let A be a matrix with only 4 different eigenvalues 21, 22, 23, 24. It is known that: A₁ has corresponding eigenvectors u₁, U₂: A2 has corresponding eigenvectors U3, U4, 15: eigenvectors U6, U7: A3 has corresponding A4 has corresponding eigenvectors ug: Indicate if the each set below is guaranteed to be linearly independent using T or F: 1) : {4₁, 4₂}: 2) :{u₁,uz): :{u3, 2u4, 3us): :{ug, 2ug): : {u1, 3из, биб, 8ug }: : {0, ug}: :{u₁}: :{(u₁ + 2u₂), u3}: :{u₁, (u₂ + U3)}: 3) 4) 5) 6) 7) 8) 9)
Let A be a matrix with only 4 different eigenvalues 21, 22, 23, 24. It is known that: A₁ has corresponding eigenvectors u₁, U₂: A2 has corresponding eigenvectors U3, U4, 15: eigenvectors U6, U7: A3 has corresponding A4 has corresponding eigenvectors ug: Indicate if the each set below is guaranteed to be linearly independent using T or F: 1) : {4₁, 4₂}: 2) :{u₁,uz): :{u3, 2u4, 3us): :{ug, 2ug): : {u1, 3из, биб, 8ug }: : {0, ug}: :{u₁}: :{(u₁ + 2u₂), u3}: :{u₁, (u₂ + U3)}: 3) 4) 5) 6) 7) 8) 9)
Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter7: Distance And Approximation
Section7.1: Inner Product Spaces
Problem 11AEXP
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