New examples of $M\setminus L$: intruder sets
Harold Erazo

TL;DR
This paper introduces new regions in the Markov and Lagrange spectra featuring intruder sets, discovered through computational search, and highlights their distinct combinatorial properties and the use of a flexible self-replication method.
Contribution
It presents novel examples of intruder sets in the spectra, expanding understanding of their structure with a modified self-replication approach.
Findings
Identification of new regions with intruder sets in $M\setminus L$
Use of computational methods to discover these regions
Introduction of a flexible self-replication technique
Abstract
We exhibit new examples of regions of where and denote the Markov and Lagrange spectra, respectively. These regions have a different nature from all known regions studied so far: they contain \emph{intruder sets} associated with distinct combinatorics that trespass the region where self-replication holds. Our construction follows the usual self-replication method but replaces the standard local uniqueness condition with a more flexible and weaker property. These examples emerged from a large-scale computational search for regions of , which indicates that many such regions with intruder sets exist. We conclude with some open problems about these new regions.
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Taxonomy
TopicsMarkov Chains and Monte Carlo Methods · Advanced Combinatorial Mathematics · Limits and Structures in Graph Theory
