
TL;DR
This dissertation explores the relationships and hierarchies of complexity, LUA, and shift complexity, providing bounds, comparisons, and structural insights into their growth rates and computational properties.
Contribution
It establishes new bounds and equivalences between complexity hierarchies, introduces generalized shift complexity notions, and analyzes the structure of LUA hierarchies using bushy tree forcing.
Findings
Quantified growth rates of functions in hierarchy relations
Established weak incomparability of LUA hierarchies for different order functions
Connected shift complexity with properties of deep nonempty Pi^0_1 classes
Abstract
In this dissertation we examine the relationships between the several hierarchies, including the complexity, (Linearly Universal Avoidance), and shift complexity hierarchies, with an eye towards quantitative bounds on growth rates therein. We show that for suitable and , there are and such that and , as well as quantify the growth rates of and . In the opposite direction, we show that for certain sub-identical satisfying there is a such that , and for certain fast-growing there is a such that , as well as quantify the growth rates of and . Concerning shift complexity, explicit bounds…
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Taxonomy
TopicsComputability, Logic, AI Algorithms · Cellular Automata and Applications · Evolutionary Algorithms and Applications
