From Vector Spaces to Periodic Functions (2019)
susam.in
susam.in
Let f, the first function have period 1, g the second have period √2.
Define the equivalence relationship that x~y if x = y + a + b√2 for some a and b. Pick for each class a unique representative using the Axiom of Choice. For each representative e, define
f(a+b√2+e) = b√2, g(a+b√2+e) = a + e
By construction, any number can be represented through a unique (a, b, e). And f and g manifestly have the right periods.
Why does this need to be stated explicitly? Why does the axiom of choice not enjoy the privilege of being a first-class axiom like other axioms? Why do many proofs need to state the assumption of this axiom explicitly before using it?
- Collection of non-empty sets with empty cartesian product.
- Infinite set without a countable infinite subset.
- There is a pair of sets such that neither is equinumerous with a subset of the other.
More or less, our intuition about seemingly obvious ideas is completely thrown off without choice. Banach-Tarski at least has the property that it probably doesn't directly apply to the real world (if you can split an object into probably physically impossible sets and then rejoin them correctly then you can double the volume of the physical object) and so doesn't really violate our intuition -- the premise doesn't apply in the real world, so no conclusion really matters. It's like claiming that every element of the empty set is a leprechaun with a pot of gold -- it's true, but it doesn't matter in any meaningful sense.
Moreover, this axiom is _independent_ of the other axioms in ZFC. It is in fact possible to have entirely self-consistent "worlds" of mathematics, ones where axiom of choice is true, and ones where it is false.
More details and examples of alternate axioms are in the Wikipedia article: https://en.wikipedia.org/wiki/Axiom_of_choice
If it seems weird that math can give you contradictory results, remember that the difference only shows up when you deal with some form of infinity (e.g. when performing an operation on an infinitely large set). For any usage of math in the real world, the truth or falsity of this axiom won't give you contradictory results.
If I were reading that correctly, then for any periodic f, g(x)=1-f(x) would do, meaning any old periodic function would do.
What an I missing?
Am I also reading it right that the author is saying the axiom of choice is equivalent to the statement that every vector space has a finite basis? I don’t get how that allows infinite dimensional vector spaces. If not, and it’s just that every vector space has a basis that’s maybe infinite, then what’s the justification of the Hamel basis being finite?
I feel like I’m missing a lot between the lines here.
Identity function means that f(x) = x, not f(x) = 1.
Not quite. The axiom of choice is equivalent to saying every vector space has a Hamel basis, which is to say every element can be represented as a finite combination of elements of the Hamel basis. It doesn't imply that the Hamel basis is finite itself.
Do you mean that any given vector of the space can be represented using a linear combination of a finite subset of the basis elements with rational scalar coefficients?
It's actually trivial to give a (infinite but) countable set of (non-orthogonal) basis vectors: 2^i for integer i. 0 and 1 are both rationals (scalars), and every real number has a (possibly infinite) binary expansion, eg e = 10.1011011111100001... = 1·2^1 + 0·2^0 + 1·2^-1 + 0·2^-2 + ...
What I think you want to say is that "any real number has a binary expansion". Which is true, but the binary sequences don't form a vector space over R, but a Z/2-module. And as a Z/2-module, your { 2^i for integer i } isn't even a basis because you need infinite expansions to express most real numbers. The span of a basis are only the finite linear combinations.
(FWIW, I think you've given a description of the dyadic rationals.)
FWIW, this is definitely false:
x = q₀·√2/1 + q₁·√3/3 + q₂·√5/9 + q₃·√7/27 + q₄·√11/81 + ... = Σᵢ(qᵢ·√πᵢ/3ⁱ)
for rational qᵢ.
Edit: primes approximate e^i, so 2^i isn't large enough.
I'm interested in what you're trying to demonstrate with your example though, or if we misunderstand each other, because this theorem is very well established.