4. For any two vectors u, v in a vector space V, {u, v} is linearily independent if and only if {u + v, u – v} is linearily independent. 5. Let U, W be subspaces of a vector space V such that {v1, v2} is a basis for U and {v2, v3, v4} is a basis for W, then dim(U +W) < 4 1

Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter5: Orthogonality
Section5.1: Orthogonality In Rn
Problem 7EQ
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Exercise 5: Prove the following claims:
1. If S is a linearily independent set and T C S then T is linearily independent
2. Let v1, v2, V3, V4 be vectors such that v4 E span{v1, v2, v3} then span{v1, v2, V3, V4} = span{v1, v2, v3}
3. Any two scalar 5 x 5 matrices are linearily dependent.
4. For any two vectors u, v in a vector space V, {u, v} is linearily independent if and only if {u + v, u – v} is
linearily independent.
5. Let U, W be subspaces of a vector space V such that {v1, v2} is a basis for U and {v2, V3, V4} is a basis for W,
then dim(U + W) < 4
1
Transcribed Image Text:Exercise 5: Prove the following claims: 1. If S is a linearily independent set and T C S then T is linearily independent 2. Let v1, v2, V3, V4 be vectors such that v4 E span{v1, v2, v3} then span{v1, v2, V3, V4} = span{v1, v2, v3} 3. Any two scalar 5 x 5 matrices are linearily dependent. 4. For any two vectors u, v in a vector space V, {u, v} is linearily independent if and only if {u + v, u – v} is linearily independent. 5. Let U, W be subspaces of a vector space V such that {v1, v2} is a basis for U and {v2, V3, V4} is a basis for W, then dim(U + W) < 4 1
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