Connectivity Labeling Schemes for Edge and Vertex Faults via Expander Hierarchies

Abstract

We consider the problem of assigning short labels to the vertices and edges of a graph G so that given any query s,t,F with |F|≤ f, we can determine whether s and t are still connected in G-F, given only the labels of F\s,t\. This problem has been considered when F⊂ E (edge faults), where correctness is guaranteed with high probability (w.h.p.) or deterministically, and when F⊂ V (vertex faults), both w.h.p.~and deterministically. Our main results are as follows. [Deterministic Edge Faults.] We give a new deterministic labeling scheme for edge faults that uses O(f)-bit labels, which can be constructed in polynomial time. This improves on Dory and Parter's [PODC 2021] existential bound of O(f n) (requiring exponential time to compute) and the efficient O(f2)-bit scheme of Izumi, Emek, Wadayama, and Masuzawa [PODC 2023]. Our construction uses an improved edge-expander hierarchy and a distributed coding technique based on Reed-Solomon codes. [Deterministic Vertex Faults.] We improve Parter, Petruschka, and Pettie's [STOC 2024] deterministic O(f713 n)-bit labeling scheme for vertex faults to O(f47.5 n) bits, using an improved vertex-expander hierarchy and better sparsification of shortcut graphs. [Randomized Edge/Verex Faults.] We improve the size of Dory and Parter's [PODC 2021] randomized edge fault labeling scheme from O(\f+ n, 3 n\) bits to O(\f+ n, 2 n f\) bits, shaving a n/ f factor. We also improve the size of Parter, Petruschka, and Pettie's [STOC 2024] randomized vertex fault labeling scheme from O(f35 n) bits to O(f26 n) bits, which comes closer to their (f)-bit lower bound.

0

Turn this paper into a full lesson

ArcXiv compiles a staged curriculum from this paper: 8-12 lessons across beginner → advanced, synthesised section guides, visuals, flashcards, a quiz, exercises, and on-demand deep dives per section. Grounded in the abstract, never invented.

Discussion (0)

Sign in to join the discussion.

Loading comments…