Hamel bases
See Vaidyanathan (2017).
Definition 348.1.
c53024A Hamel basis for a vector space over or is a set such that every element can be expressed uniquely as a (finite) linear combination of elements in .
Definition 348.2.
c239faAn infinite set of vectors is said to be linearly independent if every finite subset is linearly independent.
Proposition 348.3.
For a subset , TFAE:
- is a Hamel basis for ;
- is a maximal linearly independent set;
- is a minimal spanning set.
We have seen previously that every finite dimensional vector space has a basis. With the extension of the notion of basis to infinite dimensional spaces with Hamel bases, this holds for all vector spaces:
Theorem 348.4.
Every vector space has a basis.
Also see Cor 169.3.
does not have a countable basis
Lemma 348.5.
e387a5A countable product of completely metrizable spaces is completely metrizable.
Proof.
Given a metric space , the metric is also complete, and induces the same topology as .
Now, suppose that is a sequence of metric spaces. For sequences and , define
It can be shown, in the style of Exr 15.2, that metrizes the product topology on
If is a sequence of complete metric spaces, each is also complete and the metric as above is complete as well (see Rmk 15.3). Thus, the product of completely metrizable spaces is also completely metrizable.□
Exercise 348.6.
Show that , the set of all functions , does not have a countable basis.
Proof.
Suppose has a countable basis . Equip with the product topology . By Lem 5, is completely metrizable. inherits the countable basis . Denote by the subspace of spanned by . It is clear from the topology of that each is nowhere dense1. Additionally, each , being homeomorphic to , is closed. Since every can be expressed as a finite linear combination of , we have
contradicting the Baire category theorem (Cor 168.9).□
Proof.
Taken from Schipperus (2017)
Here is a diagonalization argument. Let be a countable set we find . Construct as follows.Consider the vector
Define not to be a linear multiple of this vector.
Now look at the vectorsDefine to not be a linear combination of these vectors. Now look at the vectors
Define not in the span of these three vectors, and so on. It is clear that is not in the span of .□
Footnotes
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any open neighborhood in leaves infinitely many coordinates free; no finite-dimensional subspace can contain such a neighborhood. ↩