Faithfulness and fractal (quasi-)equivalence principles for Perron, Engel, and Pierce expansions
Mykola Moroz
TL;DR
The paper develops three fractal principles that unify the fractal theory of Perron, Engel, and Pierce expansions by introducing faithful covering frameworks and dimension-preserving maps. The fractal equivalence principle shows that the Hausdorff dimension of sets defined via positive and alternating Perron digits is identical, enabling transfer of fractal results across Perron variants. The fractal quasi-equivalence principles connect the classical and modified Engel expansions and the Pierce expansion across Perron/traditional notations, under explicit summability conditions, to equate their fractal dimensions for broad families of digit-sequence constraints. Together, these results explain known analogies and yield new fractal properties, providing a systematic method to transfer Hausdorff-dimension results between different number expansions. The framework hinges on faithful coverings, enabling streamlined proofs and a unifying view of fractal properties across these generalized expansions.
Abstract
We establish several unifying principles that clarify the fractal properties of classical number expansions, which are generalized by the Perron expansions. In particular, we prove the fractal equivalence principle for the positive and alternating Perron expansions, the fractal quasi-equivalence principle for the classical and modified Engel expansions, and the fractal quasi-equivalence principle for the Pierce expansions in the Perron and traditional notations. These results explain several known analogies and show that the Hausdorff dimension of sets defined by one expansion often coincides with that for another. The proofs rely on faithful families of coverings, for which we refine previously known estimates. In addition to deriving a range of known theorems as direct corollaries of previous results, our approach yields new fractal properties of the Engel and Pierce expansions and provides a systematic framework for transferring Hausdorff dimension properties between different expansions.
