The set , where each is a real-valued function defined on , is said to be linearly independent if and for every implies . Suppose for all and . Then,
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The set , where each is a real-valued function defined on , is said to be linearly independent if and for every implies . Suppose for all and . Then,
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The set {f₁, …, fₙ}, where each fₖ is a real-valued function defined on ℝ, is said to be linearly independent if c₁, …, cₙ ∈ ℝ and Σₖ₌₁ⁿ cₖ fₖ(x) = 0 for every x ∈ ℝ implies c₁ = … = cₙ = 0. Suppose fₖ(x) = x^k for all x ∈ ℝ and k = 1, …, n. Then, (A) the set {f₁, …, fₙ} is linearly independent (B) each pair of these functions is linearly independent, but larger n -tuples are not (C) only the subset of odd-numbered functions and the subset of even-numbered functions are linearly independent (D) every proper subset of this set of functions is linearly independent, but the whole set is not
Also written as: The set {f_1,..., f_n}, where each f_k is a real-valued function defined on R, is said to be linearly independent if c_1,..., c_n in R and sum_(k=1)^n c_k f_k(x) = 0 for every x in R implies c_1 =... = c_n = 0. Suppose f_k(x) = x^k for all x in R and k = 1,..., n. Then,
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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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