11–20 of 72 posts
Of all the incompleteness-style theorems, I find the Halting problem to be the most approachable and also the most interesting. Maybe it's because I'm a software dev that dabbles in math rather than the other way around. But that makes me wonder if all of Gödel's theorems can be stated if 'software form', so to speak.
basically generalized the halting problem to arbitrary semantic properties.
Yes there are undecidable statements (eg the continuum hypothesis) but that doesn’t change the fact that the vast vast majority of statements in any axiomatic system are going to be decidable, and most undecidable statements are going to have “niche” significance like that.
[1] eg https://www.imperial.ac.uk/study/courses/postgraduate-taught...
As far as I can see people always radically exaggerate the effect of the incompleteness theorems. It seems interesting that any nontrivial axiomatic system has statements which are true but unprovable but to say that derails Hilbert’s project seems just obviously untrue when you can for example join math postgrad programs now which are focused on formalisation. [1] So formalisation is very much still going on, probab…
As far as I can see people always radically exaggerate the effect of the incompleteness theorems. It seems interesting that any nontrivial axiomatic system has statements which are true but unprovable but to say that derails Hilbert’s project seems just obviously untrue when you can for example join math postgrad programs now which are focused on formalisation. [1] So formalisation is very much still going on, probab…
Hilbert’s program was to reduce math to a finite set of axioms and was indeed derailed by incompleteness theorems(Gödel) and undecidability (Church, Turing).
Formalizing math with automated theorem provers has little to do with the goal of Hilbert program. Also they aren’t related to the foundational research that it entailed.
Also, as the article mentions, the implications as well as Gödel was largely misunderstood.
As far as I can see people always radically exaggerate the effect of the incompleteness theorems. It seems interesting that any nontrivial axiomatic system has statements which are true but unprovable but to say that derails Hilbert’s project seems just obviously untrue when you can for example join math postgrad programs now which are focused on formalisation. [1] So formalisation is very much still going on, probab…
* There are axioms, there are models, and there are theorems.
* A model is a particular structure with objects and relationships. The "standard model of arithmetic" is just the natural numbers 0, 1, 2, ... with normal rules of addition and subtraction and so on. A different model could be the real numbers, or one that includes infinitesimally small numbers, or so on.
* A set of axioms are rules about how a model can work. For example, we can have an axiom for any set of objects called "numbers" with an operation called "addition" that the operation must be commutative (x+y = y+x). The standard model above is one model that satisfies this axiom.
* A theorem is a fact that can be true or false about a given model. For example, "the model has infinitely many objects." If we can prove a theorem from a set of axioms, then that theorem is true for every model that satisfies the axioms. However, there can also be theorems that are true for one model that satisfies the axioms but false for a different model.
Godel's completeness theorem says that if a theorem is true for every model that satisfies a set of axioms, then one can prove that theorem from the axioms.
Godel's first incompleteness theorem says that in any axiomatic system (sufficiently complex) there are theorems that are neither always true nor always false. In other words, there is a theorem that is true for some model of the axioms but false for some other model of the axioms.
As far as I can see people always radically exaggerate the effect of the incompleteness theorems. It seems interesting that any nontrivial axiomatic system has statements which are true but unprovable but to say that derails Hilbert’s project seems just obviously untrue when you can for example join math postgrad programs now which are focused on formalisation. [1] So formalisation is very much still going on, probab…
Would the rules of said machine have statements they themselves cannot prove by parameters set in their ‘programmed(by humans, machines, or other machines)’ assumptions?
It's much easier than it seems. * There are axioms, there are models, and there are theorems. * A model is a particular structure with objects and relationships. The "standard model of arithmetic" is just the natural numbers 0, 1, 2, ... with normal rules of addition and subtraction and so on. A different model could be the real numbers, or one that includes infinitesimally small numbers, or so on. * A set of axioms…
Of all the incompleteness-style theorems, I find the Halting problem to be the most approachable and also the most interesting. Maybe it's because I'm a software dev that dabbles in math rather than the other way around. But that makes me wonder if all of Gödel's theorems can be stated if 'software form', so to speak.
Also check out https://en.wikipedia.org/wiki/Rice%27s_theorem basically generalized the halting problem to arbitrary semantic properties.
Also though, just as for the Halting Problem, we are always allowed a three-way split. Rice proves that "Has property" vs "Does not have property" can't be done, but "Has property" vs "Does not have property" vs "Shrug - I dunno, seems hard" is possible, and indeed easy if you're OK with lots of machines landing in the "Shrug" pile. You can expend as much work as you like to shrink that pile, Rice just proved it would need infinite work to empty it completely.