All of Mathematics is inconsistent. Turing machines are consistent
IDENTITY means unique memory address. EQUALITY means contents-of-memory address.
The error in Mathematics is precisely the conflation of identity and value. Or in terms of a physics conception. Mistaking the space-time coordinates with that which occupies them.
In the real world A = A is allowed to be false (when interpreted as identity) because the two "A"s exist at different space-time coordinates. And so what does it mean for TWO individual things to be "equal" are they entangled or what?
Classical logic overloads "=" to mean both identity and equality. That's why it's inconsistent. Classical logic doesn't have UUIDs - computers do. Memory addresses.
for all x: x = x => Undefined, Complexity: O(1) to O(∞)
for all x: id(x) = id(x) => True, Complexity: O(1)
for all x: id(x) = x => False, Complexity: O(1)
Further. ALL operators are supposed to do actual, physical work.
The energy spent on deriving the correct result of x = x is the proof-of-work.If x is an infinite-byte object then comparing it to itself should take infinite time e.g machine will not halt, whereas determining its identity is O(1)
Solution to Symbol-grounding problem. ( https://en.wikipedia.org/wiki/Symbol_grounding_problem)
Q.E.D
λ-calculus ⇔ λ-calculus ⇔ λ-calculus ⇔ λ-calculus ⇔ λ-calculus ⊇ Mathematics
Feedback welcome.
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[ 4.3 ms ] story [ 30.3 ms ] threadhttps://en.wikipedia.org/wiki/Proof_of_impossibility
https://en.wikipedia.org/wiki/Set_theory#Objections_to_set_t...
Work == Energy. Energy == Proof-of-work.
If X is an infinite-byte object then comparing it to itself should take infinite time, whereas determining its identity is O(1)
If one x = x can be trivial to determine But another x = x is infinitely complex then in one single law you have a triviality and infinity.
That's the principle of explosion !
OP's other post's comment is related https://news.ycombinator.com/item?id=19265632
I am not even talking about comparing sets. I am talking about comparing infinite-precision floats to themselves.
Any system that does it in O(1) is broken.
The complexity of the task is O(1) to O(∞) !!!