(a) Let B = {V1, V2, . . . , Vn} be a basis for a finite-dimensional vector space V. Prove that for every v € V there exists a unique choice of scalars c1, c2, . . . , Cn such that v = haty (b) Let A be an m x n matrix. Prove that row(A)- = null(A). i=1 (c) Let T : V → W be an isomorphism. Prove that if {v1,.., Vn} is a basis for V, ther {T(v1),...,T(vn)} is a basis for W.

Advanced Engineering Mathematics
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ISBN:9780470458365
Author:Erwin Kreyszig
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Chapter2: Second-order Linear Odes
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10. (a) Let B = {v1,v2, . .., Vn} be a basis for a finite-dimensional vector space V. Prove that for every
v e V there exists a unique choice of scalars c1, c2, ..., Cn such that v =
n
i=1
(b) Let A be an m x n matrix. Prove that row(A)- = null(A).
hat
(c) Let T :
V → W be an isomorphism.
{T(v1),...,T(Vn)} is a basis for W.
Prove that if {v1,.… , Vn} is a basis for V, then
Transcribed Image Text:10. (a) Let B = {v1,v2, . .., Vn} be a basis for a finite-dimensional vector space V. Prove that for every v e V there exists a unique choice of scalars c1, c2, ..., Cn such that v = n i=1 (b) Let A be an m x n matrix. Prove that row(A)- = null(A). hat (c) Let T : V → W be an isomorphism. {T(v1),...,T(Vn)} is a basis for W. Prove that if {v1,.… , Vn} is a basis for V, then
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