Math 2.0

statement theorem

Every linearly independent set extends to a basis

Statement

Let FF be a field, let VV be a vector space over FF, and let L⊆VL \subseteq V be a linearly independent set. Then there is a basis BB of VV with L⊆BL \subseteq B.

Remarks

For finite-dimensional VV, add to LL, one at a time, a vector that is not in the span of the current set. This stops after finitely many steps. In general, the proof uses Zorn's lemma. A stronger form: if L⊆SL \subseteq S, with LL independent and SS spanning, then a basis BB exists with L⊆B⊆SL \subseteq B \subseteq S. For example, {(1,1,0)}\{(1, 1, 0)\} extends to the basis {(1,1,0),(0,1,0),(0,0,1)}\{(1, 1, 0), (0, 1, 0), (0, 0, 1)\} of R3\R^3.

Explanations

L1 human

We can always complete an independent set of vectors to a basis. We keep adding vectors that point in new directions until the set reaches the whole space. This shows that an independent set can never be larger than a basis.

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  1. Vector space definition
  2. Linear combination definition
  3. Linear subspace definition
  4. Linear independence definition
  5. Linear span definition
  6. Spanning set definition
  7. Basis definition
  8. Every linearly independent set extends to a basis statement

Sources

  1. Web https://en.wikipedia.org/wiki/Basis_(linear_algebra), Properties