Finite-alphabet normalization for transducers
OpenPvsNP.polyTimeFunction_iff_finiteA raw-word function has a polynomial TM2 witness exactly when it has one with finite work alphabets.
Status: Known mathematics / implementation obligation awaiting formal proof.
import Definitions.Def_PvsNPFrontier
namespace PvsNP
theorem polyTimeFunction_iff_finite (f : Str → Str) :
PolyTimeComputable f ↔ FinitePolyTime (id : Str → Str) (id : Str → Str) f := by sorry
end PvsNPRead-back
What the Lean code literally says, in plain math · gpt-6-astra
For every , holds if and only if there exists a polynomial-time machine computing the same output list from each input list , with every stack alphabet finite. The input and output list encodings are both the identity; the finite-alphabet witness need not be the same witness used on the left. Here , is the set of all finite Boolean lists, including the empty list, and is list length. Write for existence of such a machine and a polynomial that, for every , compute output list from input list in at most steps. Different existential computation witnesses may use different machines and polynomials. A machine in these assertions is a Mathlib TM2 stack machine with finitely many stack indices, instruction labels, and control states, a finite input-stack alphabet, designated input and output stacks, a program, and initial label and control state; its other stack alphabets need not be finite. Input and output alphabet bijections transport the specified encoded lists to the corresponding stack alphabets. Computation starts with only the input stack populated, and reaches a halted configuration with the specified output on the output stack, all other stacks empty, and the control state reset to its initial value. Time counts executions of whole TM2 statements, each of which may contain several stack operations. The supplied body is admitted with sorry; no proof of this assertion is supplied there.