Symbolic Dynamics • Interval Exchanges • Combinatorics on Words
I am interested in how symbolic encodings capture deep dynamical structures, especially in interval exchanges, renormalization schemes, and return words. I am also interested in tying these ideas to operator algebras.
Currently, I am a computer science student at CTU (Czech Technical University) in Prague. My research lies in symbolic dynamics, particularly the structure of interval exchange transformations and combinatorics on words. I also intern part-time at my university’s physics laboratory, where I work in conjunction with the CERN ATLAS collaboration to develop machine learning models to reconstruct the mass of the Higgs boson from collider data. Previously, I interned at Northrop Grumman during high school.
In my theoretical work, I aim to develop results that are meaningful, lasting, and beautiful, contributing to both the rigor and popularization of symbolic dynamics. In practical settings, I build systems close to theory, emphasizing the empirical synthesis of existing ideas.
This paper explores the structure of return words in the languages generated by regular interval exchange transformations (IETs), proving that they exhibit clustering behavior. Our results extend the known literature by establishing a link between regular IETs and return word clustering in their languages, partially answering an unresolved question at the intersection of symbolic coding and the dynamics of regular IETs.
I am always happy to hear from others working in symbolic dynamics, operator algebras, or related areas.
Email: christian.b.hughes@gmail.com
GitHub: cbhughes29