They address the following concern of Zhang (2005), which contained prior work involving similar techniques:
> […] Of course, this conclusion is not proved mathematically. It is possible that the programs have some bugs, or the user (myself made some errors.
They address it as follows:
> We address this [… through] ChatGPT 5.5 Pro, through Codex, to automatically generate a Lean formalization that we then checked ourselves to confirm the statements and definitions indeed match their expected semantics. This process took multiple iterations and discussions with the model over several days, and generated over 10,000 lines of code.
This is extremely unconvincing. Manual review of 10,000 lines of AI generated code is a terrifying prospect. I’m sure the result is correct, however I am deeply uncomfortable with this being mankind’s new mathematical process. Similar concerns have been expressed since the days 4 color theorem, but this feels different. Perhaps it is just new.
>in a nutshell, it defines an executable function encode that takes a natural number n ≥ 5 and emits a CNF formula, which is byte-for-byte equal to the output of our Python encoding
The phrase “byte-for-byte equal” makes my eye twitch these days.
I love SAT solver papers, always interesting to see auxiliary variable techniques, since those aren't really listed anywhere central
here for example, instead of saying {f(x,y,z)==g(x,y,z)}, authors instead make variable group a_w:=(f(x,y,z)=w||g(x,y,z)=w), and then apply "at most 1" to it. Can't be unequal if both functions only can have 1 result in total
this adds an index to iterate over, but separates internal subexpressions of f() and g(), removing 2 indixes (in this problem) and thus dropping whole power of n of clauses
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what I don't get is that they aren't searching Tarski's problem per se, but for one specific solution to it (one identity that isn't resulting from given). I'd totally look for arithmetic models that violate expectations in other ways than Wilkie
Man I wish I understood anything you said, or anything in tfa. Math has to have my personal gold medal for highest desire to learn coupled with total unwillingness to.
They use the properties of Wilkie's counterexample to restrict the search space. So you can't just pick arbitrary identities that hold over the positive integers and repeat the process until you've found a smaller model.
Why is subtraction not part of the algebra? It’s certainly familiar to every high school math student. This omission allows the counterexample, so the reveal is a bit of a disappointment IMHO.
Subtraction is not closed over positive integers, which is untidy. The point of Tarski’s conjecture was to propose a minimal number of axioms and operations, AFAICS they define the standard semiring of positive integers (with the natural definition of exponentiation added).
(Edit: positive integers aren’t exactly a semiring because 0 is excluded, although some authors do define a semiring without the requirement of an additive identity element.)
I'm not sure, but maybe it is due to that the expression a - b can be replaced as a + (-b)?
Similarly, I think a * b and a / b can be replaced with the same trick, but then I realized it may not work on non-abelian, or where multiplicative inverse is not available...
The subtraction point is interesting but I don't think it makes the result disappointing. The whole point of Tarski's problem is what follows from that very restricted set of elementary identities so finding the exact minimum countermodel under those rules still seems like a pretty satisfying result.
No, Gödel's incompleteness theorem applies to theories that can interpret first-order arithmetic, which includes quantified statements like "for all x, there exists a prime p > x".
In this case, we have the much simpler equational theory of positive integers under addition, multiplication, and exponentiation, which does not include any quantifiers. In fact, Gurevič showed that this theory is decidable [0]. On the other hand, Gurevič later showed that this theory is not finitely axiomatizable [1], so an infinite (but still computable) set of axioms is needed to fully characterize the theory.
> […] Of course, this conclusion is not proved mathematically. It is possible that the programs have some bugs, or the user (myself made some errors.
They address it as follows:
> We address this [… through] ChatGPT 5.5 Pro, through Codex, to automatically generate a Lean formalization that we then checked ourselves to confirm the statements and definitions indeed match their expected semantics. This process took multiple iterations and discussions with the model over several days, and generated over 10,000 lines of code.
This is extremely unconvincing. Manual review of 10,000 lines of AI generated code is a terrifying prospect. I’m sure the result is correct, however I am deeply uncomfortable with this being mankind’s new mathematical process. Similar concerns have been expressed since the days 4 color theorem, but this feels different. Perhaps it is just new.
>in a nutshell, it defines an executable function encode that takes a natural number n ≥ 5 and emits a CNF formula, which is byte-for-byte equal to the output of our Python encoding
The phrase “byte-for-byte equal” makes my eye twitch these days.
here for example, instead of saying {f(x,y,z)==g(x,y,z)}, authors instead make variable group a_w:=(f(x,y,z)=w||g(x,y,z)=w), and then apply "at most 1" to it. Can't be unequal if both functions only can have 1 result in total
this adds an index to iterate over, but separates internal subexpressions of f() and g(), removing 2 indixes (in this problem) and thus dropping whole power of n of clauses
---
what I don't get is that they aren't searching Tarski's problem per se, but for one specific solution to it (one identity that isn't resulting from given). I'd totally look for arithmetic models that violate expectations in other ways than Wilkie
(Edit: positive integers aren’t exactly a semiring because 0 is excluded, although some authors do define a semiring without the requirement of an additive identity element.)
Similarly, I think a * b and a / b can be replaced with the same trick, but then I realized it may not work on non-abelian, or where multiplicative inverse is not available...
In this case, we have the much simpler equational theory of positive integers under addition, multiplication, and exponentiation, which does not include any quantifiers. In fact, Gurevič showed that this theory is decidable [0]. On the other hand, Gurevič later showed that this theory is not finitely axiomatizable [1], so an infinite (but still computable) set of axioms is needed to fully characterize the theory.
[0] R. Gurevič, Equational theory of positive numbers with exponentiation, 1985, https://doi.org/10.2307/2044966
[1] R. Gurevič, Equational theory of positive numbers with exponentiation is not finitely axiomatizable, 1990, https://doi.org/10.1016/0168-0072(90)90049-8