Rayo's number

Rayo's number is one of the largest named numbers, coined in a large number battle pitting Agustín Rayo against Adam Elga. Rayo's number is, in Rayo's own words, "the smallest positive integer bigger than any finite positive integer named by an expression in the language of first order set theory with a googol symbols or less."

By replacing "googol" with any positive integer, we get a very quickly growing function \(\text{Rayo}(n)\) (sometimes denoted \(\text{FOST}(n)\) ). Rayo's number is \(\text{Rayo}(10^{100})\). Rayo's function is uncomputable, which means that it is impossible for a (and, by the Church-Turing thesis, any modern computer) to calculate \(\text{Rayo}(n)\). In fact, even order-\(n\) Turing machines are unable to compute this function. Rayo's function is one of the fastest growing functions ever to arise in professional mathematics; only a few functions, especially its derivation, the FOOT (first-order oodle theory) function surpasses it.

Definition
Let \([\phi]\) and \([\psi]\) be Godel-coded formulas and \(s\) and \(t\) be variable assignments. Define \(\text{Sat}([\phi], s)\) as follows:

∀R { {    ∀[ψ], s: R([ψ],t) ↔ ([ψ] = "xᵢ ∈ xⱼ" ∧ t(xᵢ) ∈ t(xⱼ)) ∨ ([ψ] = "xᵢ = xⱼ" ∧ t(xᵢ) = t(xⱼ)) ∨ ([ψ] = "(¬θ)"   ∧ ¬R([θ], t)) ∨ ([ψ] = "([θ]∧ξ)" ∧ R([θ], t) ∧ R([ξ], t)) ∨ ([ψ] = "∃xᵢ(θ)" ∧ ∃t′: R([θ], t′)) (where t′ is a copy of t with xᵢ changed) } ⇒ R([ϕ],s) }

Call a natural number \(m\) "Rayo-namable in \(n\) symbols" if there is a formula \(\phi(x_1)\) with less than \(n\) symbols and \(x_1\) as its only free variable that satisfies the following properties:


 * 1) There is a variable assignment \(s\), assigning \(x_1 := m\), such that \(\text{Sat}([\phi(x_1)], s)\).
 * 2) For any variable assignment \(t\), if \(\text{Sat}([\phi(x_1)], t)\), \(t\) must have \(x_1 = m\).

\(\text{Rayo}(n)\), then, is the smallest number greater than all numbers Rayo-namable in \(n\) symbols.

Explanation 1
Disclaimer: Some background in set theory and mathematical logic is extremely helpful in understanding Rayo's number.

A variable assignment is some infinite sequence of objects such as \((3, 2, 6, 1/2, \{4, \pi\}, \text{Canada}, \omega, 65, \ldots)\). A formula is some statement about a variable assignment, such as "the third variable is relatively prime to the second one" or "the second variable is the set of all real numbers except for 3.2".

Rayo defined a very specific and abstract micro-language for describing how a formula works:


 * "a∈b" means that the ath member of the sequence is an element of bth member of the sequence.
 * "a=b" means that the ath member of the sequence is equal to the bth member of the sequence.
 * "(¬e)", for formula e, is the negation of e.
 * "(e∧f)", for formulas e and f, indicates the logical and operation.
 * "∃a(e)" indicates that we can modify the ath member of the sequence such that the formula e is true.

For example, take the formula "1∈2". This says "the member 1 is an element of the member 2," so we can plug in the variable assignment \((\text{apple}, \text{set of all types of fruits}, \ldots)\) and the result will be true, since apple is a type of fruit. If instead we plug in \((\text{cheese}, \text{set of all types of fruits}, \ldots)\), the result is not true because cheese is not a type of fruit. (If you're familiar with propositional logic, you might be curious about the absence of the universal quantifier ∀. This is because ∀x(e) is the same as ¬∃x:((¬e)), and it's not needed.)

A more complicated example: "(¬∃1(1∈2))". This says, "it is not true that there exists a member 1 such that member 1 is an element of member 2." In other words, we cannot pick member 1 such that member 1 is an element of member 2. This works when member 2 is the empty set, such as in the variable assignment \((3, \{\}, \ldots)\) No matter what we change the \(3\) to, it can never be a member of the empty set.

If a formula returns true when a variable assignment is plugged into it, we say that the variable assignment "satisfies" that formula.

Now we arrive at the core concept of Rayo-nameability, ignoring the length restriction:


 * There is a formula \(\phi\) such that all satisfactory variable assignments must have \(m\) as their first argument, and there is at least one such assignment.

First we shall show that 0 is Rayo-nameable. In the ordinal system, \(0 = \{\}\). We need to craft a formula \(\phi\) that forces \(\{\}\) as its first argument. One such string is "(¬∃2(2∈1))" = "we cannot pick variable 2 such that variable 2 is a member of variable 1" = "we cannot pick an element of variable 1" = "variable 1 has no elements" = "variable 1 is empty set".

Now we need to find a way to Rayo-name \(1 = \{\{\}\}\). We first put the empty set in variable 2 using the same trick as above: "(¬∃3(3∈2))". We also need "2∈1" to ensure that variable 1 is not an empty set. To ensure that 1 does not have any other elements, we use "(¬∃3((3∈1∧(¬3=2))))" = "we cannot pick variable 3 such that variable 3 is an element of variable 1, but is not the same as variable 2" = "if variable 3 is an element of variable 1, it must be variable 2" = "variable 2 is the only element of variable 1 (if variable 1 has any element)". We "and" all these statements together, we get "(((¬∃3(3∈2))∧2∈1)∧(¬∃3((3∈1∧(¬3=2)))))".

We can continue with this pattern, defining each natural number using this method. It allows us to name the number \(n\) in \((9n^2 + 47n + 20)/2\) symbols. With larger values, it is possible to define recursive operations, allowing us to Rayo-name larger and larger numbers using compact notation. Given a sufficiently large number, a Rayo string that defines exponentiation would need less symbols than our naïve technique.

We have all the pieces in place to define Rayo's function:


 * Rayo's function \(\text{Rayo}(n)\) is defined as the smallest nonnegative integer greater than all nonnegative integers Rayo-nameable in at most \(n\) symbols.

Why is Rayo's function uncomputable? Using Rayo's microlanguage one can construct set elements of which are so called instantaneous descriptions of a Turing machine, and from this it's just a small step to define Busy Beaver function. With more effort, one can even construct oracle Turing machines and define their analogues of Busy Beaver function.

Explanation 2
We will open with :


 * Let x be the smallest natural number greater than all natural numbers definable in at most sixteen English words. Then x can be defined as "the smallest natural number greater than all natural numbers definable in at most sixteen English words." We just defined x using at most sixteen English words, so therefore x cannot be greater than all natural numbers definable in at most sixteen English words. This is a contradiction.

The source of the paradox is the ambiguity of the word "definable", and more fundamentally the ambiguity of the English language itself. Rayo's function circumvents these mathematical sins by replacing English with the language called first-order set theory (FOST). FOST is the language of with the  as the domain. Specifically, FOST is capable of determining set membership, quantifying over the universe, and applying logical operators. The nitty-gritty details of how this works are given above.

We fix the loophole that causes Berry's paradox, resulting in the following definition of Rayo(n), which is:


 * the smallest natural number greater than all natural numbers that can be uniquely identified by a FOST expression of at most n symbols

The paradox is gone now because the definability has been replaced with a formal language. FOST is subject to, which says we can't formally define truth, let alone definability, so FOST can't invoke FOST the way English can invoke English.

Unlike first-order logic, FOST doesn't include axioms. If we include axioms in FOST, Rayo's number will not be significantly larger than Busy Beaver function because it can only define numbers defined with provable functions in a recursively enumerable theory. To get significantly beyond the Busy Beaver function, we must abandon provability, and talk about truth in a particular model.

History
Rayo and Elga's number duel was inspired by the large number competitions described in the article "Who Can Name the Bigger Number?" by Scott Aaronson.

In January 2013, Adam Goucher claimed that \(\text{Rayo}(n)\) grows slower than his xi function. However, the claim turned out to be incorrect, because Goucher misunderstood the definition of Rayo's function as the "largest integer expressible uniquely by n symbols in first-order arithmetic (the language of Peano arithmetic).". The Second-order arithmetic is much stronger, and first order set theory is even stronger than that. First-order arithmetic's domain of discourse is the natural numbers, but first order set theory's domain of discourse is defined to be sets of the entire von Neumann universe. In fact, it can be shown that Rayo's function is much more powerful than the xi function.

Rayo's number was honored as the largest named number until 2014 when BIG FOOT was defined, using a non-naive extension of n-th order set theory, the first-order oodle theory. Note that naive extensions like iterating Rayo's function are not honored as breaking the record of Rayo's number. Although Rayo's number was previously surpassed in 2013 by Fish number 7, it is debatable whether that number is a good enough extension to be honored as breaking the record. Currently, all the largest named numbers share the same concept of Rayo's function, and all the non-naive extensions such as the FOOT function.

Jonathan Bowers attempted to surpass Rayo, FOOT, and all other functions which diagonalize over the number of symbols used in a n-symbol language by introducing Oblivion. Rayo and FOOT will be evaluated by the number of symbols required to completely describe them; let this be n. He estimated that the value of n for set theory n1 and oodle theory n2 would be at the order of 10000, and n1 < n2. A system completely well-described using n symbols would be a K(n) system - set-theory and oodle-theory would be approximately K(10000) systems, though n is not precisely known. Let the Yeti function $$\text{YETI}(m,n)$$ represent the largest finite number that can be uniquely definable using m symbols in a K(n) system. $$\text{Rayo}(m) $$ and $$\text{FOOT}(m)$$ can therefore be approximated by $$\text{YETI}(m,10000)$$. It is however unknown if Oblivion or the Yeti function is well-defined. See Oblivion and Utter Oblivion below for details.

Author
The number was invented by Dr. Agustín Rayo, an Associate Professor of Linguistics and Philosophy at the Massachusetts Institute of Technology where he received his PhD in 2001.