Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
143 tokens/sec
GPT-4o
7 tokens/sec
Gemini 2.5 Pro Pro
46 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
38 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Space complexity of list H-coloring revisited: the case of oriented trees (1510.07124v1)

Published 24 Oct 2015 in cs.CC

Abstract: Digraphs H for which the list homomorphism problem with template H (LHOM(H)) is in logspace (L) was characterized by Egri et al. (SODA 2014): LHOM(H) is in L if and only if H does not contain a circular N (assuming L is different from NL). Undirected graphs for which LHOM(H) is in L can be characterized in terms forbidden induced subgraphs, and also via a simple inductive construction (Egri et al., STACS 2010). As a consequence, the logspace algorithm in the undirected case is simple and easy to understand. No such forbidden subgraph or inductive characterization, and no such simple and easy-to-understand algorithm is known in the case of digraphs. In this paper, in the case of oriented trees, we refine and strengthen the results of Egri et al. (SODA 2014): we give a characterization of oriented trees T for which LHOM(T) is in L both in terms of forbidden induced subgraphs, and also via a simple inductive construction. Using this characterization, we obtain a simple and easy-to-analyze logspace algorithm for LHOM(T). We also show how these oriented trees can be recognized in time O(|V(T)|3) (the straightforward implementation of the algorithm given in SODA 2014 runs in time O(|V(H)|8) for oriented trees). An algebraic characterization of these trees is also provided.

Citations (1)

Summary

We haven't generated a summary for this paper yet.