2. A linearly independent set ({V₁,..., Vk) in R" can be extended to a basis for R". One way to do this is to create A = [v₁ Vk e₁en], with e₁, ..., e, the columns of the identity matrix. The columns containing the leading 1's in the RREF of A correspond to the columns of A needed to create a basis for R". Use this method to extend the following vectors to a basis for R³: V₁ = -7 -5 V2 = 9 4 1 6 V3 = 7 -8

Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter7: Distance And Approximation
Section7.2: Norms And Distance Functions
Problem 33EQ
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2. A linearly independent set (v₁, ... , Vk) in R" can be extended to a basis for R". One way to do this
is to create A = [v₁.Vk е₁еn], with e₁, ..., e, the columns of the identity matrix. The
columns containing the leading 1's in the RREF of A correspond to the columns of A needed to create
a basis for R". Use this method to extend the following vectors to a basis for R³:
V₁ =
-7
-5
V2 =
9
4
1
6
V3 =
7
-8
Transcribed Image Text:2. A linearly independent set (v₁, ... , Vk) in R" can be extended to a basis for R". One way to do this is to create A = [v₁.Vk е₁еn], with e₁, ..., e, the columns of the identity matrix. The columns containing the leading 1's in the RREF of A correspond to the columns of A needed to create a basis for R". Use this method to extend the following vectors to a basis for R³: V₁ = -7 -5 V2 = 9 4 1 6 V3 = 7 -8
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