Query Maintenance Under Batch Changes with Small-Depth Circuits

Which dynamic queries can be maintained efficiently? For constant-size changes, it is known that constant-depth circuits or, equivalently, first-order updates suffice for maintaining many important queries, among them reachability, tree isomorphism, and the word problem for context-free languages. In other words, these queries are in the dynamic complexity class DynFO. We show that most of the existing results for constant-size changes can be recovered for batch changes of polylogarithmic size if one allows circuits of depth O(log log n) or, equivalently, first-order updates that are iterated O(log log n) times.

Publication Details

Journal
Zurich Open Repository and Archive (University of Zurich)
Published
2024-08-30
DOI
https://doi.org/10.5167/uzh-265410
Primary Topic
Complexity and Algorithms in Graphs
Type
article
Field-Weighted Citation Impact
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article

Query Maintenance Under Batch Changes with Small-Depth Circuits

Zurich Open Repository and Archive (University of Zurich)
Complexity and Algorithms in Graphs
article

Query Maintenance Under Batch Changes with Small-Depth Circuits

article en

Abstract

Which dynamic queries can be maintained efficiently? For constant-size changes, it is known that constant-depth circuits or, equivalently, first-order updates suffice for maintaining many important queries, among them reachability, tree isomorphism, and the word problem for context-free languages. In other words, these queries are in the dynamic complexity class DynFO. We show that most of the existing results for constant-size changes can be recovered for batch changes of polylogarithmic size if one allows circuits of depth O(log log n) or, equivalently, first-order updates that are iterated O(log log n) times.

Zurich Open Repository and Archive (University of Zurich)
Openalex Percentile: Top 64%
Complexity and Algorithms in Graphs
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Query Maintenance Under Batch Changes with Small-Depth Circuits · Zurich Open Repository and Archive (University of Zurich) (2024) | TGRS Research Map | TGRS