Advanced Engineering Mathematics
Advanced Engineering Mathematics
10th Edition
ISBN: 9780470458365
Author: Erwin Kreyszig
Publisher: Wiley, John & Sons, Incorporated
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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
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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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