Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing 2022
DOI: 10.1145/3519935.3519978
|View full text |Cite
|
Sign up to set email alerts
|

Randomized communication and implicit graph representations

Abstract: The most basic lower-bound question in randomized communication complexity is: Does a given problem have constant cost, or non-constant cost? We observe that this question has a deep connection to implicit graph representations in structural graph theory. Specifically, constant-cost communication problems correspond to hereditary graph families that admit constant-size adjacency sketches, or equivalently constant-size probabilistic universal graphs (PUGs), and these graph families are a subset of families that… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
17
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
5
1
1

Relationship

3
4

Authors

Journals

citations
Cited by 7 publications
(17 citation statements)
references
References 63 publications
0
17
0
Order By: Relevance
“…This extends to a transformation between hereditary classes: transform every graph in a hereditary class to a bipartite graph and take the hereditary closure of the obtained set of bipartite graphs. As was shown in [18], this transformation preserves the factorial speed of growth as well as the existence of an implicit representation 1 .…”
Section: Graph Classesmentioning
confidence: 72%
See 1 more Smart Citation
“…This extends to a transformation between hereditary classes: transform every graph in a hereditary class to a bipartite graph and take the hereditary closure of the obtained set of bipartite graphs. As was shown in [18], this transformation preserves the factorial speed of growth as well as the existence of an implicit representation 1 .…”
Section: Graph Classesmentioning
confidence: 72%
“…Indeed, in [2] it was shown that Q has unbounded functionality. On the other hand, it was shown in [17] that the class admits an implicit representation and is, in particular, factorial; in fact, more generally, the hereditary closure of Cartesian products of any finite set of graphs [18] and even of any class admitting an implicit representation [14], admits an implicit representation. These results, however, are non-constructive and they provide neither explicit labeling schemes, nor specific factorial bounds on the number of graphs.…”
Section: Hypercubesmentioning
confidence: 99%
“…This phase is an easy extension of the simple proof in [Har22] of the labeling scheme for induced subgraphs of hypercubes, derived from [Har20,HWZ22]. The labels are obtained by a simple probabilistic method (and are efficiently computable by a randomized algorithm).…”
Section: Phase 1: Exactly One Differencementioning
confidence: 99%
“…The XOR-labeling trick can also be used to simplify the proof of [HWZ22] for adjacency sketches of Cartesian products. That proof uses a two-level hashing scheme to avoid destroying the labels of x i and y i with the XOR, with a high constant probability of success.…”
Section: Phase 2: Induced Subgraphsmentioning
confidence: 99%
See 1 more Smart Citation