Prescribed graphon symmetries and flavors of rigidity
Alexandru Chirvasitu

TL;DR
This paper explores the symmetries of graphons, establishing that any compact metrizable group can be realized as a graphing automorphism group and analyzing the conditions under which group actions persist or are rigid in limits.
Contribution
It proves that any compact metrizable group can be realized as a graphing automorphism group and characterizes graphon rigidity for compact Lie groups in terms of semisimplicity and representation properties.
Findings
Any compact metrizable group can be realized as a graphing automorphism group.
Graphon rigidity for compact Lie groups is equivalent to the identity component being semisimple.
For certain groups, graphon rigidity implies image rigidity, and these conditions are characterized for profinite abelian groups.
Abstract
We prove that an arbitrary compact metrizable group can be realized as the automorphism group of a graphing; this is a continuous analogue to Frucht's theorem recovering arbitrary finite groups are automorphism groups of finite graphs. The paper also contains a number of results the persistence of transitivity of a compact-group action upon passing to a limit of graphons. Call a compact group graphon-rigid if, whenever it acts transitively on each member of a convergent sequence of graphons, it also acts transitively on the limit . We show that for a compact Lie group graphon rigidity is equivalent to the identity component being semisimple; as a partial converse to a result of Lov\'{a}sz and Szegedy, this is also equivalent to weak randomness: the property that the group have only finitely many irreducible…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsHomotopy and Cohomology in Algebraic Topology · Topological and Geometric Data Analysis · Geometric and Algebraic Topology
