For an explicit basis extension in , start with , where . Its linear span is the line . Adding preserves linear independence, because is outside that line, and gives a basis. Every vector has the finite linear combination
The vector cannot be added while preserving linear independence: it is already in the linear span. Many choices outside the line work, so maximality does not select a unique basis.
Figure 1.
Extending one independent vector to a basis of the real plane
. Left: u spans only the blue line, and 2u is redundant. Right: adding w outside that line yields a basis spanning the entire plane. This finite-dimensional illustration is not a proof of basis existence in arbitrary dimension. Details.
For a finite-dimensional vector space with a supplied finite spanning set, a greedy algorithm scans the list, retaining each vector precisely when it is outside the linear span of those already retained. Starting with a linearly independent , the same scan adjoins only the needed vectors. Retained vectors remain linearly independent, and every skipped vector is in the final linear span, so the result is a basis containing . Finite reasoning needs no axiom of choice.
For an arbitrary vector space, this finite stopping argument is unavailable. Accepting Zorn's lemma asserts existence of a maximal element once every chain in a partial order has an upper bound; it supplies no general computational recipe. Over ZF, Zorn's lemma, the axiom of choice and the well-ordering theorem are equivalent. Particular infinite vector spaces can still have explicit bases, such as for the vector space of univariate polynomials over a specified field; infinity alone does not force a nonconstructive argument.[ref]
Suppose for contradiction that the vector space of univariate polynomials were complete in the given norm. For , let
Each is finite-dimensional and therefore closed by the fact that a finite-dimensional subspace is closed. It is a proper linear subspace of , so it has empty interior: if a linear subspace contained any open ball, translation and scalar multiplication would make it contain every vector. Hence every is a nowhere dense set.
But every polynomial has finite degree, so
This writes the supposed complete metric space as a countable union of nowhere-dense closed subsets, contradicting the Baire category theorem. Thus no norm can make complete. Equivalently, this is the countable-basis obstruction that a Banach space has uncountable Hamel dimension.