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TheoremStatement: Literature-sourcedProof: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-12
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The recursion theorem with parameters

Statement

Fix an acceptable numbering (φe)e∈N. For every total computable function F:N2→N, there exists a total computable function q:N→N such that for every parameter a, φq(a)=φF(a,q(a)).

Facts & Assumptions

Given: A total computable function F:N2→N.

[L1]

The s-m-n theorem gives a total computable specialization function s21, by The s-m-n theorem.

[L2]

Kleene's second recursion theorem gives fixed points for total computable program transformers, by Kleene's second recursion theorem.

Proof

technique · direct
1.1L1givenconstruct

Let s21 be the specialization function from [L1]. Define a ternary partial computable function by Ψ(a,u,x):=φF(a,s21(u,a,u))(x). Because F and s21 are total computable, Ψ is partial computable, so choose an index r with φr(⌜a,⌜u,x⌝seq⌝seq)≃Ψ(a,u,x) for all a,u,x.

2.1L1step 1.1construct

Define q(a):=s21(r,a,r). This function is total computable because s21 is.

3.1L1step 2.1algebra

For every a and x, φq(a)(x)≃φr(⌜a,⌜r,x⌝seq⌝seq)=Ψ(a,r,x)=φF(a,s21(r,a,r))(x)=φF(a,q(a))(x). Hence φq(a)=φF(a,q(a)) for every parameter a.

4.1L2step 3.1∎

Therefore the fixed-point construction can be carried out uniformly in the external parameter.

Depends on

Used by

Dependency tree · two levels

8 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.

Sources