Local symmetries in partially ordered sets
Christoph Minz
TL;DR
The paper develops a formal framework for local symmetries in finite posets by exploiting automorphisms and retract operations to build symmetry classes, thereby enabling refined enumeration. It systematically analyzes a hierarchy of local symmetries (via $(Q,r)$-generators and prime vs composite retracts) and applies these ideas to structured posets such as complete bipartite graphs, fences, polygons, and simplexes, revealing explicit counts and retraction patterns (e.g., to the 2-chain). By enumerating locally unsymmetric posets by layer and deriving exact formulas for several layer configurations, the work connects combinatorial structure to asymptotic behavior and to Kleitman–Rothschild orders relevant in causal-set theory. The study then links these combinatorial insights to physics by considering sprinklings in Minkowski spacetime, showing that typical causal sets arising from random sprinkling are total locally unsymmetric with probability 1, which has implications for modeling discrete spacetime in quantum gravity. Together, the results offer a robust toolkit for classifying posets by local symmetries and for distinguishing causal-set models from generic posets in physics.
Abstract
Partially ordered sets (posets) play a universal role as an abstract structure in many areas of mathematics. For finite posets, an explicit enumeration of distinct partial orders on a set of unlabelled elements is known only up to a cardinality of 16 (listed as sequence A000112 in the OEIS), but closed expressions are unknown. By considering the automorphisms of (finite) posets, I introduce a formulation of local symmetries. These symmetries give rise to a division operation on the set of posets and lead to the construction of symmetry classes that are easier to characterise and enumerate. Furthermore, we consider polynomial expressions that count certain subsets of posets with a large number of layers (a large height). As an application in physics, local symmetries or rather their absence helps to distinguish causal sets (locally finite posets) that serve as discrete spacetime models from generic causal sets.
