Suppose is a countably infinite family of subsets of a vector space, all linearly independent, with . Then is
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Suppose is a countably infinite family of subsets of a vector space, all linearly independent, with . Then is
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Suppose A₁,A₂,… is a countably infinite family of subsets of a vector space, all linearly independent, with A₁⊆ A₂⊆⋯. Then ⋃ᵢ₌₁^∞ Aᵢ is (A) a linearly independent set of vectors (B) a linearly dependent set of vectors (C) linearly independent provided the vectors are orthogonal (D) not necessarily either dependent or independent
Also written as: Suppose A_1,A_2,... is a countably infinite family of subsets of a vector space, all linearly independent, with A_1 subseteq A_2 subseteq.... Then union_(i=1)^(inf) A_i is
Vector spaces, rank and eigenvalues has come up 41 times in 6 exams since 2008.
This question is on Linear independence, span and basis, part of Vector spaces, rank and eigenvalues in Mathematics.
Whether vectors depend on each other, what they span and when they form a basis.
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Question from the DSE 2014 paper. Solutions are TestStop's own. Not affiliated with or endorsed by any examination authority.