Relativizing an incompressible number and an incompressible function through subrecursive extensions of Turing machines
Felipe S. Abrah\~ao (National Laboratory for Scientific Computing, (LNCC), Brazil)

TL;DR
This paper explores how uncomputability and irreducible information can be relativized within subrecursive classes built on recursive relative incompressible functions, introducing new concepts like Turing submachines and relative versions of classical uncomputability measures.
Contribution
It defines Turing submachines and constructs relative versions of the Busy Beaver and halting probability functions, demonstrating their uncomputability and incompressibility within these submachines.
Findings
The Busy Beaver Plus function is uncomputable and incompressible on any Turing submachine.
A Turing submachine can compute its own relative halting probability approximations.
The phenomenon enriches understanding of relativized uncomputability and irreducible information.
Abstract
We show in this article that uncomputability is also a relative property of subrecursive classes built on a recursive relative incompressible function, which acts as a higher-order "yardstick" of irreducible information for the respective subrecursive class. We define the concept of a Turing submachine, and a recursive relative version for the Busy Beaver function and for the halting probability (or Chaitin's constant) Omega; respectively the Busy Beaver Plus (BBP) function and a time-bounded halting probability. Therefore, we prove that the computable BBP function defined on any Turing submachine is neither computable nor compressible by any program running on this submachine. In addition, we build a Turing submachine that can use lower approximations to its own time-bounded halting probability to calculate the values of its Busy Beaver Plus function, in the "same" manner that…
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Taxonomy
TopicsComputability, Logic, AI Algorithms · Quantum Computing Algorithms and Architecture · Cellular Automata and Applications
