Suppose is a set of linearly dependent vectors, none of them being the zero vector. Suppose are scalars, not all zero, such that . Then the minimum number of non-zero scalars is
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Suppose is a set of linearly dependent vectors, none of them being the zero vector. Suppose are scalars, not all zero, such that . Then the minimum number of non-zero scalars is
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Suppose {v₁,v₂,…,vₙ} is a set of linearly dependent vectors, none of them being the zero vector. Suppose c₁,c₂,…,cₙ are scalars, not all zero, such that Σᵢ₌₁ⁿcᵢvᵢ=0. Then the minimum number of non-zero scalars is (A) 1 (B) 2 (C) n-1 (D) cannot be determined.
Also written as: Suppose {v_1,v_2,...,v_n} is a set of linearly dependent vectors, none of them being the zero vector. Suppose c_1,c_2,...,c_n are scalars, not all zero, such that sum_(i=1)^nc_iv_i=0. Then the minimum number of non-zero scalars 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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