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A finite spanning list contains a basis, without choice
Statement
Let be a vector space over a field , and let be a finite list spanning a subspace . Some sublist of is a basis of . In particular, a subspace spanned by a finite list is finite-dimensional. No choice principle is used.
Facts & Assumptions
Given: A field , a vector space over , and a finite list whose span is .
The span of a set is the smallest linear subspace containing it, and finite linear combinations include the empty sum (Linear combination of a finite list, and the span as the smallest linear subspace containing ).
A finite list is linearly independent when every vanishing linear combination has all coefficients zero; a basis is a linearly independent spanning list (Linear independence: a finite list is independent when forces every , and a subset is independent when every injective finite list into is independent, Basis of a vector space: a linearly independent spanning subset; and ordered basis: an injective finite list whose image is a basis).
Every nonzero scalar in a field has a multiplicative inverse (Field).
If a property holds at and is preserved from to its successor, it holds for every natural number (The principle of mathematical induction).
Proof
Start with the empty retained list . For , append to if , and otherwise set . This finite procedure makes each decision from the current vector and the already constructed span, so it uses no choice.
For every , . At both spans are by the empty-sum clause of [F1]. If already lies in the previous span, omitting it does not change the span; if it does not, adjoining it gives exactly the span after adding to the original prefix. Induction [F4] proves the claim through .
The retained list is linearly independent. If a nontrivial linear relation existed, let be its last vector with nonzero coefficient . Solving for using from [F3] would put in the span of the earlier retained vectors, contrary to the rule by which was appended. The empty retained list is independent by [F2] as well.
By step 2.1 the retained list spans , and by step 2.2 it is linearly independent. It is therefore a basis of by [F2]; it is finite because it is a sublist of the original finite list. By the definition of finite-dimensionality Finite-dimensional vector space, and its dimension ; infinite-dimensional means having no finite basis, is finite-dimensional.
Depends on
- Linear combination of a finite list, and the span $\operatorname{span}(S)$ as the smallest linear subspace containing $S$
- Linear independence: a finite list $v : n \to V$ is independent when $\sum_{i<n} \lambda_i v_i = 0_V$ forces every $\lambda_i = 0_F$, and a subset $S \subseteq V$ is independent when every injective finite list into $S$ is independent
- Basis of a vector space: a linearly independent spanning subset; and ordered basis: an injective finite list whose image is a basis
- Finite-dimensional vector space, and its dimension $\dim_F V$; infinite-dimensional means having no finite basis
- Field
- The principle of mathematical induction
Used by
Dependency tree · two levels
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Sources
- Sheldon Axler, Linear Algebra Done Right, fourth edition (standard reference, not scraped)