I refer to the textbook for the basic notion and properties of vector spaces. A field is a triple satisfying the axioms listed in pages 2, 3 of the textbook as properties of
see also https://andrescaicedo.wordpress.com/2009/02/11/305-4-fields/ and surrounding lectures, in this blog. I am writing this note mostly to record the exercise, the question, and the statement of Steinitz lemma, so I am not recording the proofs we discussed in lecture.
The following example, that I want to leave as a (voluntary) exercise, is due to John Conway.
Exercise 1 Define Nim-addition
and Nim-multiplication
on
as follows:
is the result of adding without carrying the binary expansions of
and
. For example,
is computed by applying the following rules:
is commutative.
distributes over
- Letting
we have
and
for
Show that
is a field.
In lecture, the basic properties of vector spaces were presented. Recall the following notions:
Definition 1 Let
be a vector space over a field
and let
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- The span of
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is the collection of all finite linear combinations of elements of
The empty combination is understood as the vector
We say that
spans
iff
and that
spans (or that
is spanning) iff
spans
- The set
is independent iff for all vectors
we have that
- The space
is finite dimensional iff there is a finite spanning set
Otherwise,
is infinite dimensional.
is a basis for
iff it is independent and spans.
The following is very useful; in many algebraic context, it is taken as a basic property that any decent independence relation must satisfy:
Lemma 2 (Steinitz exchange lemma) For any subset
of a vector space
and any vectors
if
then
Corollary 3 If a subset
of a vector space
is independent, and
is such that
then
is independent.
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Theorem 4 Any vector space admits a basis.
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Remark 1 The result is true for all vector spaces, whether they are finite dimensional or not, but the argument in the infinite dimensional case involves Zorn’s lemma. In lecture, we only proved the finite dimensional case. The argument shows that any spanning set contains a basis. The proof we gave in lecture does not seem to adapt to the infinite dimensional case. In particular, in principle we could need to deal with the following pathological situation:
Question 1 Can we have a vector space
and a set of vectors
such that the
are pairwise distinct and yet
for all
?
(I encourage you to think about this question, although just as with the exercise, I am not requesting that you turn it in.)
Steinitz exchange lemma can be used to prove the following fundamental result, with the proof of which we will begin the next lecture.
Lemma 5 If
is a finite dimensional vector space, and
are bases for
then
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Remark 2 If
is infinite dimensional, and
are bases for
then it is still the case that
in the sense that there is a bijection between
and
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Definition 6 In light of Lemma 5 and the subsequent remark, we can define the dimension of a vector space
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as the size of any basis for
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In the exercise, when we define the Fermat numbers, can n be 0, or is it strictly greater than 0.
Thanks,
Nick
Hi Nick.
can be 0 there, so
for example.
I was also curious about one property about the nim-multiplication. Is
defined by the above definition?
I guess we need to add that
is associative.
Then
and
🙂
I had erroneously claimed above that we obtain an algebraically closed field this way. This is incorrect. The definition is due to John Conway, who in fact defined
,
for all ordinals. He showed that the ordinal
is the algebraic closure of the field of two elements. (And
is a subfield of this, of course.)