Loops, Inverse Limits and Non-Determinism

TL;DR

This paper introduces an inverse limit operator in Weihrauch complexity, analyzing its properties, closure characteristics, and implications for non-deterministic computability, with applications to infinite loops and problem composition.

Contribution

It defines and studies the inverse limit operator in Weihrauch complexity, proving its properties and demonstrating its relevance for non-deterministic problems and infinite computational processes.

Findings

Weak K\

Non-deterministically computable problems are closed under inverse limits.

Inverse limit operator can be more powerful than composition of other operators.

Abstract

We introduce an operator on problems in Weihrauch complexity, which we call the inverse limit, and which corresponds to an infinite compositional product. This operation arises naturally whenever one implements algorithms that produce a sequence of results in an infinite loop, using some fixed subroutine. We prove that the corresponding operator is monotone with respect to (strong) Weihrauch reducibility but that it is not a closure operator. One of our findings is that weak K\H{o}nig's lemma is closed under inverse limits, which implies that the class of non-deterministically computable problems is also closed under this operation. Consequently, this class allows for a high degree of flexibility in programming. As our main technical tools, we present an injective version of the recursion theorem and an infinitary version of the so-called independent choice theorem. We also show that, in general, the inverse limit operator is more powerful than the composition of the diamond operator followed by the parallelization operator. However, in many practical scenarios, these compositions yield a result, which coincides with the application of the inverse limit operator. Finally, we discuss the special situation of loops for single-valued problems and for problems on Turing degrees.