Total Conformal Rigidity in Graphs
Henrique Assump\c{c}\~ao, Gabriel Coutinho, Chris Godsil

TL;DR
This paper introduces the concept of total conformal rigidity in graphs, characterizes it through edge-rigidity and Laplacian spectra, and provides polynomial-time algorithms and combinatorial insights.
Contribution
It offers a complete characterization of totally conformally rigid graphs, linking spectral properties to combinatorial structures and developing efficient decision algorithms.
Findings
A graph is totally conformally rigid iff it is edge-rigid.
Edge-rigidity is equivalent to all edges being pairwise Laplacian-cospectral.
Polynomial-time algorithm for deciding edge-rigidity using integer arithmetic.
Abstract
We introduce and study a generalization of conformal rigidity for graphs. A graph is -conformally rigid if the uniform edge weights simultaneously maximize the sum of the smallest nontrivial Laplacian eigenvalues and minimize the sum of the largest, over all normalized non-negative weight assignments. A graph that is -conformally rigid for every is called totally conformally rigid. Our main result is a complete characterization: a graph is totally conformally rigid if and only if it is edge-rigid, meaning every canonical spectral embedding onto a Laplacian eigenspace is edge-isometric. We further show this is equivalent to all edges of the graph being pairwise Laplacian-cospectral, that is, the removal of any single edge yields a graph with the same Laplacian characteristic polynomial. Using semidefinite programming duality, we establish this equivalence and derive a…
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.
