Complexity and Avoidance
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 are given on how slow-growing must be for any member of to compute -shift complex sequences. Motivated by the complexity hierarchy, we generalize the notion of shift complexity to consider sequences satisfying for all substrings of where is any order function. We show that for sufficiently slow-growing , -shift complex sequences can be uniformly computed by -complex sequences, where grows slightly faster than . The structure of the hierarchy is examined using bushy tree forcing, with the main result being that for any order function , there is a slow-growing order function such that and are weakly incomparable. Using this, we prove new results about the filter of the weak degrees of deep nonempty classes and the connection between the shift complexity and hierarchies.
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