Let V be a vector space over R, and let Sị and S2 be subspaces of V. (a) Prove that Si C S2 = dim(S1) < dim(S2). (b) Prove that (Sı C S2 and dim(S1) = dim(S2)) → S1 = S2. (c) Prove that if u1,..., uk are linearly independent vectors in V, and v E V with v 4 span(u1,..., Uk), then u1, ..., Uk, v are linearly independent. %3D

Elementary Linear Algebra (MindTap Course List)
8th Edition
ISBN:9781305658004
Author:Ron Larson
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Chapter5: Inner Product Spaces
Section5.CR: Review Exercises
Problem 41CR: Let B={(0,2,2),(1,0,2)} be a basis for a subspace of R3, and consider x=(1,4,2), a vector in the...
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Let V be a vector space over R, and let S1 and S2 be subspaces of V.

a)  Prove that S1 ⊆ S2 ⇒ dim(S1) ≤ dim(S2).

b)  Prove that (S1 ⊆ S2 and dim(S1) = dim(S2)) ⇒  S1 = S2

c)  Prove that if u1, . . . , uk are linearly independent vectors in V , and v v  not ∈ span(u1, . . . , uk), then u1, . . . , uk, v are linearly independent.

 

 

2. Let V be a vector space over R, and let S1 and S2 be subspaces of V.
(a) Prove that Si C S2 = dim(S1) < dim(S2).
(b) Prove that (Sı C S2 and dim(S1) = dim(S2)) = S1 = S2.
(c) Prove that if u1,..., uk are linearly independent vectors in V, and v e V with
v 4 span(u1,
Ug are linearly independent vectors in V, and v e V with
U%), then u1,... , Uk, v are linearly independent.
•.
u
Transcribed Image Text:2. Let V be a vector space over R, and let S1 and S2 be subspaces of V. (a) Prove that Si C S2 = dim(S1) < dim(S2). (b) Prove that (Sı C S2 and dim(S1) = dim(S2)) = S1 = S2. (c) Prove that if u1,..., uk are linearly independent vectors in V, and v e V with v 4 span(u1, Ug are linearly independent vectors in V, and v e V with U%), then u1,... , Uk, v are linearly independent. •. u
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