Question

Complete the proof Let V be a nontrivial vector space which has a spanning set {xi}...

  1. Complete the proof

Let V be a nontrivial vector space which has a spanning set {xi} ki=1. Then there is a subset of {xi} ki=1 which is a basis for V.

Proof. We will divide the set {xi} ki=1 into two sets, which we will call good and bad. If x1 ≠ 0, then we label x1 as good and if it is zero, we label it as bad. For each i ≥ 2, if xi ∉ span{x1, . . . , xi−1}, then we label xi as good, and otherwise we label it as bad. Let B be the set of all the good elements. We claim that B is a basis for V.

B is nonempty because not all the xi are zero and the first nonzero xi will be good. We must first verify that B is a linearly independent set. Let B = {b1, b2, . . . , bj} and assume we have scalars c1, c2, . . . , cj such that c1b1+c2b2+· · ·+cjbj = 0. Then c1b1+c2b2+· · ·+cj−1bj−1 = −cjbj, and by the construction of the set B, bj is not a linear combination of the previous elements, which therefore implies that cj must be zero. But we can repeat this argument. We now know that c1b1+c2b2 +· · ·+ cj−1bj−1 = 0, so that c1b1+c2b2 +· · ·+cj−2bj−2 = −cj−1bj−1 and again this implies that cj−1 = 0. Repeating this will prove that all the coefficients must be zero. Therefore, B is a linearly independent set.

Now show that the span of the elements of B is all of V.

  1. Extend to the case when S is an arbitrary subset of V (i.e., do not assume that S is finite).

The linear span of a finite set of vectors in a vector space V is a subspace of V.

Proof. Let S = {x1, x2, . . . , xn} ⊂ V be a given set of vectors, and let W = span(S). Let u and v be vectors in W, and write u = c1x1 + c2x2 + · · · + cnxn and v = d1x1 + d2x2 + · · · + dnxn. Then u + v = Σ ni=1(ci + di)xi , which is a linear combination of the vectors xi , so u + v is an element W, thus proving that W is closed under addition. If a is a scalar, then au = ac1x1 + ac2x2 + · · · + acnxn is again a linear combination of {x1, x2, . . . , xn}. Since W is closed under addition and scalar multiplication, it is a subspace of V.

Extend to the case when S is an arbitrary subset of V (i.e., do not assume that S is finite)

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