Existence of a Basis for Every Vector Space

Every vector space has a basis; in general this is equivalent to the axiom of choice
Existence of a Basis for Every Vector Space

Existence of a Basis for Every Vector Space: Let VV be a over a field FF. Then there exists a subset BVB\subseteq V such that:

  • (Spanning) Every vVv\in V can be written as a finite linear combination of elements of BB, i.e. v=i=1naibiv=\sum_{i=1}^n a_i b_i with aiFa_i\in F and biBb_i\in B.
  • (Linear independence) If i=1naibi=0\sum_{i=1}^n a_i b_i=0 with aiFa_i\in F and distinct biBb_i\in B, then all ai=0a_i=0.

Such a set BB is called a basis of VV.

In full generality, this theorem is equivalent to the (and hence also to ). The standard proof uses a maximality argument in a .

Proof sketch: Consider the collection L\mathcal{L} of all linearly independent subsets of VV, ordered by inclusion. Every chain in L\mathcal{L} has an upper bound given by its union, so Zorn’s lemma gives a maximal linearly independent set BB. If BB did not span VV, one could add a vector outside its span to get a larger linearly independent set, contradicting maximality. Hence BB is both independent and spanning, i.e. a basis.