What Makes the Axiom of Choice So Controversial?

Click For Summary
SUMMARY

The Axiom of Choice (AC) is a controversial topic in mathematics primarily due to its independence from other axioms of set theory and its implications, such as the Banach-Tarski Paradox. The paradox demonstrates that a solid ball can be decomposed into a finite number of non-measurable sets and reassembled into two solid balls of the same size, which challenges intuitive notions of volume and measure. While AC is deemed useful for proving the existence of certain mathematical objects, its acceptance varies among mathematicians, particularly in practical applications where the Axiom of Countable Choice (ACC) suffices.

PREREQUISITES
  • Understanding of set theory and its axioms
  • Familiarity with the Banach-Tarski Paradox
  • Knowledge of measurable sets and non-measurable sets
  • Concept of infinite sets and cardinality
NEXT STEPS
  • Research the implications of the Axiom of Countable Choice (ACC) in mathematical proofs
  • Explore the philosophical debates surrounding the Axiom of Choice
  • Investigate the applications of the Banach-Tarski Paradox in theoretical mathematics
  • Study the relationship between AC and other axioms in set theory
USEFUL FOR

Mathematicians, philosophers of mathematics, and students studying advanced set theory and its implications in theoretical frameworks.

  • #31
glaucousNoise said:
What motivates mathematicians to retain this philosophically difficult definition of infinity?
I think it is useful in e.g., probabilities, where sample spaces are often infiite, i.e., there are infnitely-many possible outcomes.
 
Physics news on Phys.org
  • #32
The Banach-Tarski theorem needs the axiom of choice. The axiom of choice is independent of the other axioms of set theory. If you don't like the axiom of choice you can say that you don't want to have it. Instead, you can have a different axiom making all sets measurable and making Banach-Tarski theorem false. So whether or not the Banach-Tarski theorem is true has got nothing whatsoever to do with the real world but only to do with reasoning about infinite sets. What rules do we accept and what rules do we not accept?
 
  • #33
WWGD said:
I think it is useful in e.g., probabilities, where sample spaces are often infiite, i.e., there are infnitely-many possible outcomes.
but are there? suppose you take a sample of heights, and then fit a continuous distribution to those heights. When you calculate the probability of sampling a height between two data values, you're really making a guess based upon the data. Heights among humans may actually vary in discrete increments, but these increments may be so tiny (maybe on the order of nanometers) that it's reasonable to just come up with a rule (a distribution) that produces a value for any interval of rational numbers you feed it, even if it's actually invalid for small intervals (on the order of a nanometer, perhaps).

Is there a need for a notion of real numbers here? Your rule assigns a value to any rational number you give it, and there are as many of those as you'd like, but there's a discrete scale at which the distribution is effective anyway. In real statistical applications you normally need to numerically integrate anyway, which requires discretizing your continuous distribution.
 
  • #34
glaucousNoise said:
Is there a need for a notion of real numbers here?

No, there absolutely isn't. Everything you can do with real numbers is something you can do with rational numbers. But working with real numbers makes things vastly more simple, and that's why we work with them.
 
  • Like
Likes   Reactions: Demystifier
  • #35
glaucousNoise said:
but are there? suppose you take a sample of heights, and then fit a continuous distribution to those heights. When you calculate the probability of sampling a height between two data values, you're really making a guess based upon the data. Heights among humans may actually vary in discrete increments, but these increments may be so tiny (maybe on the order of nanometers) that it's reasonable to just come up with a rule (a distribution) that produces a value for any interval of rational numbers you feed it, even if it's actually invalid for small intervals (on the order of a nanometer, perhaps).

Is there a need for a notion of real numbers here? Your rule assigns a value to any rational number you give it, and there are as many of those as you'd like, but there's a discrete scale at which the distribution is effective anyway. In real statistical applications you normally need to numerically integrate anyway, which requires discretizing your continuous distribution.

How would you deal with numbers like ## e, \pi ## , which are not "made in a lab " (i.e., they come about from "real world" scenarios/situations)? Would you approximate them by Rationals to the needed level of accuracy?
 
  • #36
WWGD said:
How would you deal with numbers like ## e, \pi ## , which are not "made in a lab " (i.e., they come about from "real world" scenarios/situations)? Would you approximate them by Rationals to the needed level of accuracy?
You can do that, or just work out which constants you care about (##e, \pi, \sqrt2, \log2## etc) and consider the field extension over the rationals. This is what computer algebra systems do.
 
  • #37
gill1109 said:
For most of practical mathematics, the axiom of countable choice is quite enough to do everything you want to do. https://en.wikipedia.org/wiki/Axiom_of_countable_choice
If I understood it correctly, with axiom of countable choice (ACC) there is no Banach-Taraski theorem/paradox. It looks like a good reason to use only ACC, and not the standard AC. Or is there a good example of some practical mathematics for which we still need the full standard AC?
 
  • #38
Demystifier said:
If I understood it correctly, with axiom of countable choice (ACC) there is no Banach-Taraski theorem/paradox. It looks like a good reason to use only ACC, and not the standard AC. Or is there a good example of some practical mathematics for which we still need the full standard AC?

Define practical mathematics.
 
  • #39
micromass said:
Define practical mathematics.
A tentative answer: Any branch of mathematics except logic, set theory, and category theory. :biggrin:

Or let me reformulate my question. Is there a theorem which (unlike Banach-Tarski) most mathematicians find intuitively appealing, and which can be proved by AC, but not by ACC?
 
  • #40
The axiom of choice is equivalent to saying that every vector space has a basis. Does that answer your question?
 
  • Like
Likes   Reactions: Demystifier
  • #41
micromass said:
The axiom of choice is equivalent to saying that every vector space has a basis. Does that answer your question?
Oh yes, that's great!
Is then ACC equivalent to saying that every separable vector space has a basis? Or something like that?
 
  • #42
Uh well, what does "separable vector space mean"? I don't think a vector space has a canonical topology in infinite dimensions.

Other equivalenties:
1) Tychonoff theorem: the product of compact spaces is compact (the definition of compact matters here: here it is that every open cover has a finite subcover).
2) Every nontrivial unital ring has a maximal ideal.
3) Perhaps set theoretic but still: every product of sets is nonempty.

There are entire books written on these subject (including my thesis, I guess). So do ask if you want to know more.
 
  • Like
Likes   Reactions: pbuk
  • #43
pwsnafu said:
You can do that, or just work out which constants you care about (##e, \pi, \sqrt2, \log2## etc) and consider the field extension over the rationals. This is what computer algebra systems do.
But I think GlaucousNoise was referring to the theoretical need for the existence of Irrationals.
 
  • #45
So this is a case where one should listen to what you mean, not what you say? :wink:
 
  • Like
Likes   Reactions: Demystifier
  • #46
micromass said:
Other equivalenties:
1) Tychonoff theorem: the product of compact spaces is compact (the definition of compact matters here: here it is that every open cover has a finite subcover).
2) Every nontrivial unital ring has a maximal ideal.
3) Perhaps set theoretic but still: every product of sets is nonempty.

There are entire books written on these subject (including my thesis, I guess). So do ask if you want to know more.
That reminded me of a problem that I had in mathematical physics:
The integral can be thought of as precise way to define a continuous sum of uncountably many terms.
Is there a precise way to define a continuous product of an uncountable many terms? (I mean, without explicitly using logaritms which reduce products to sums.)
 
  • #47
Krylov said:
So this is a case where one should listen to what you mean, not what you say? :wink:
Maybe, but Hilbert space is a kind of vector space too, so not necessarily. :wink:
 
  • #48
Demystifier said:
That reminded me of a problem that I had in mathematical physics:
The integral can be thought of as precise way to define a continuous sum of uncountably many terms.
Is there a precise way to define a continuous product of an uncountable many terms? (I mean, without explicitly using logaritms which reduce products to sums.)
Yes, it is called the product-integral. https://en.wikipedia.org/wiki/Product_integral
 
  • Like
Likes   Reactions: WWGD and Demystifier
  • #49
gill1109 said:
Yes, it is called the product-integral. https://en.wikipedia.org/wiki/Product_integral
As I suspected, they use logarithms to reduce it to ordinary integrals. I was hoping that it can be done without the logarithms, but I guess my hope was groundless. Nevertheless, I am glad to see that at least there is a standard notation for such a thing.
 
  • #50
Demystifier said:
As I suspected, they use logarithms to reduce it to ordinary integrals. I was hoping that it can be done without the logarithms, but I guess my hope was groundless. Nevertheless, I am glad to see that at least there is a standard notation for such a thing.
Some people do it with logarithms. I do not. https://projecteuclid.org/euclid.aos/1176347865
Ann. Statist.
Volume 18, Number 4 (1990), 1501-1555.
A Survey of Product-Integration with a View Toward Application in Survival Analysis
Richard D. Gill and Soren Johansen
 
  • Like
Likes   Reactions: Demystifier

Similar threads

  • · Replies 26 ·
Replies
26
Views
4K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 5 ·
Replies
5
Views
2K
  • · Replies 10 ·
Replies
10
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 7 ·
Replies
7
Views
3K
  • · Replies 8 ·
Replies
8
Views
3K
  • · Replies 3 ·
Replies
3
Views
5K
  • · Replies 7 ·
Replies
7
Views
4K