License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.ICDT.2017.19
URN: urn:nbn:de:0030-drops-70596
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Schwentick, Thomas ; Vortmeier, Nils ; Zeume, Thomas

Dynamic Complexity under Definable Changes

LIPIcs-ICDT-2017-19.pdf (0.6 MB)


This paper studies dynamic complexity under definable change operations in the DynFO framework by Patnaik and Immerman. It is shown that for changes definable by parameter-free first-order formulas, all (uniform) AC1 queries can be maintained by first-order dynamic programs. Furthermore, many maintenance results for single-tuple changes are extended to more powerful change operations: (1) The reachability query for undirected graphs is first-order maintainable under single tuple changes and first-order defined insertions, likewise the reachability query for directed acyclic graphs under quantifier-free insertions. (2) Context-free languages are first-order maintainable under \EFO-defined changes. These results are complemented by several inexpressibility results, for example, that the reachability query cannot be maintained by quantifier-free programs under definable, quantifier-free deletions.

BibTeX - Entry

  author =	{Thomas Schwentick and Nils Vortmeier and Thomas Zeume},
  title =	{{Dynamic Complexity under Definable Changes}},
  booktitle =	{20th International Conference on Database Theory (ICDT 2017)},
  pages =	{19:1--19:18},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-024-8},
  ISSN =	{1868-8969},
  year =	{2017},
  volume =	{68},
  editor =	{Michael Benedikt and Giorgio Orsi},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{},
  URN =		{urn:nbn:de:0030-drops-70596},
  doi =		{10.4230/LIPIcs.ICDT.2017.19},
  annote =	{Keywords: dynamic descriptive complexity, SQL updates, dynamic programs}

Keywords: dynamic descriptive complexity, SQL updates, dynamic programs
Collection: 20th International Conference on Database Theory (ICDT 2017)
Issue Date: 2017
Date of publication: 17.03.2017

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