Kleene's T predicate

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Short description: Concept in computability theory

In computability theory, the T predicate, first studied by mathematician Stephen Cole Kleene, is a particular set of triples of natural numbers that is used to represent computable functions within formal theories of arithmetic. Informally, the T predicate tells whether a particular computer program will halt when run with a particular input, and the corresponding U function is used to obtain the results of the computation if the program does halt. As with the smn theorem, the original notation used by Kleene has become standard terminology for the concept.[1]

Definition

Example call of T1. The 1st argument gives the source code (in C rather than as a Gödel number e) of a computable function, viz. the Collatz function f. The 2nd argument gives the natural number i to which f is to be applied. The 3rd argument gives a sequence x of computation steps simulating the evaluation of f on i (as an equation chain rather than a Gödel sequence number). The predicate call evaluates to true since x is actually the correct computation sequence for the call f(5), and ends with an expression not involving f anymore. Function U, applied to the sequence x, will return its final expression, viz. 1.

The definition depends on a suitable Gödel numbering that assigns natural numbers to computable functions (given as Turing machines). This numbering must be sufficiently effective that, given an index of a computable function and an input to the function, it is possible to effectively simulate the computation of the function on that input. The T predicate is obtained by formalizing this simulation.

The ternary relation T1(e,i,x) takes three natural numbers as arguments. T1(e,i,x) is true if x encodes a computation history of the computable function with index e when run with input i, and the program halts as the last step of this computation history. That is,

  • T1 first asks whether x is the Gödel number of a finite sequence xj of complete configurations of the Turing machine with index e, running a computation on input i.
  • If so, T1 then asks if this sequence begins with the starting state of the computation and each successive element of the sequence corresponds to a single step of the Turing machine.
  • If it does, T1 finally asks whether the sequence xj ends with the machine in a halting state.

If all three of these questions have a positive answer, then T1(e,i,x) is true, otherwise, it is false.

The T1 predicate is primitive recursive in the sense that there is a primitive recursive function that, given inputs for the predicate, correctly determines the truth value of the predicate on those inputs.

There is a corresponding primitive recursive function U such that if T1(e,i,x) is true then U(x) returns the output of the function with index e on input i.

Because Kleene's formalism attaches a number of inputs to each function, the predicate T1 can only be used for functions that take one input. There are additional predicates for functions with multiple inputs; the relation

Tk(e,i1,,ik,x)

is true if x encodes a halting computation of the function with index e on the inputs i1,,ik.

Like T1, all functions Tk are primitive recursive. Because of this, any theory of arithmetic that is able to represent every primitive recursive function is able to represent T and U. Examples of such arithmetical theories include Robinson arithmetic and stronger theories such as Peano arithmetic.

Normal form theorem

The Tk predicates can be used to obtain Kleene's normal form theorem for computable functions (Soare 1987, p. 15; Kleene 1943, p. 52—53). This states there exists a fixed primitive recursive function U such that a function f:k is computable if and only if there is a number e such that for all n1,,nk one has

f(n1,,nk)U(μxTk(e,n1,,nk,x)),

where μ is the μ operator (μxϕ(x) is the smallest natural number for which ϕ(x) is true) and is true if both sides are undefined or if both are defined and they are equal. By the theorem, the definition of every general recursive function f can be rewritten into a normal form such that the μ operator is used only once, viz. immediately below the topmost U, which is independent of the computable function f.

Arithmetical hierarchy

In addition to encoding computability, the T predicate can be used to generate complete sets in the arithmetical hierarchy. In particular, the set

K={e : xT1(e,0,x)}

which is of the same Turing degree as the halting problem, is a Σ10 complete unary relation (Soare 1987, pp. 28, 41). More generally, the set

Kn+1={e,a1,,an:xTn(e,a1,,an,x)}

is a Σ10-complete (n+1)-ary predicate. Thus, once a representation of the Tn predicate is obtained in a theory of arithmetic, a representation of a Σ10-complete predicate can be obtained from it.

This construction can be extended higher in the arithmetical hierarchy, as in Post's theorem (compare Hinman 2005, p. 397). For example, if a set Ak+1 is Σn0 complete then the set

{a1,,ak:x(a1,,ak,x)A)}

is Πn+10 complete.

Notes

  1. The predicate described here was presented in (Kleene 1943) and (Kleene 1952), and this is what is usually called "Kleene's T predicate". (Kleene 1967) uses the letter T to describe a different predicate related to computable functions, but which cannot be used to obtain Kleene's normal form theorem.

References