Robustness for expander graphs
Yaobin Chen, Yu Chen, Jie Han, Jingwen Zhao

TL;DR
This paper investigates the robustness of expander graphs under random edge sparsification, establishing optimal conditions for the presence of Hamiltonian cycles, perfect matchings, and triangle factors with high probability.
Contribution
It provides new probabilistic thresholds for the existence of complex structures in sparsified expander graphs, addressing open problems and introducing iterative absorption and coupling techniques.
Findings
Hamiltonian cycles appear with high probability under optimal sparsification conditions.
Triangle factors are present with high probability in certain sparsified expanders, matching asymptotic bounds.
New methods include iterative absorption and coupling for triangles in random subgraphs.
Abstract
We study robust versions of properties of -graphs, namely, the property of a random sparsification of an -graph, where each edge is retained with probability independently. We prove such results for the containment problem of perfect matchings, Hamiltonian cycles, and triangle factors. These results address a series of problems posed by Frieze and Krivelevich. First we prove that given , for sufficient large , any -graph with , and , contains a Hamiltonian cycle (and thus a perfect matching if is even) with high probability. This result is asymptotically optimal. Moreover, we show that for sufficient large , any -graph with , and $p\gg…
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
TopicsLimits and Structures in Graph Theory · Complex Network Analysis Techniques · Complexity and Algorithms in Graphs
