Applications of Graded Methods to Cluster Variables in Arbitrary Types
Thomas Booker-Price

TL;DR
This thesis explores the properties of gradings in various cluster algebras, classifying degrees and variables, especially in infinite types, and linking surface-based gradings to combinatorial structures.
Contribution
It provides a comprehensive classification of gradings in finite and infinite type cluster algebras, introduces new conditions for infinite degrees, and connects surface gradings with combinatorial models.
Findings
Mutation-cyclic matrices yield finitely many degrees with positive degrees.
Mutation-acyclic matrices produce infinitely many degrees.
Surface-based gradings are isomorphic to valuation function spaces.
Abstract
This thesis is concerned with studying the properties of gradings on several examples of cluster algebras, primarily of infinite type. We first consider two finite type cases: and , completing a classification by Grabowski for coefficient-free finite type cluster algebras. We then consider gradings arising from skew-symmetric matrices. We show that the mutation-cyclic matrices give rise to gradings in which all degrees are positive and have only finitely many associated cluster variables (excepting one particular case). For the mutation-acyclic matrices, we prove that all occurring degrees have infinitely many variables. We provide a sufficient condition for a graded cluster algebra generated by a quiver to have infinitely many degrees, based on the presence of a subquiver in its mutation class. We use this to show that the cluster algebras for (quantum)…
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Taxonomy
TopicsAlgebraic structures and combinatorial models · Advanced Topics in Algebra · Advanced Operator Algebra Research
