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DOI: 10.4230/LIPIcs.STACS.2013.610
Search using queries on indistinguishable items

Authors: Mark Braverman and Gal Oshri

Published in: LIPIcs, Volume 20, 30th International Symposium on Theoretical Aspects of Computer Science (STACS 2013)

Abstract
We investigate the problem of determining a set S of k indistinguishable integers in the range [1, n]. The algorithm is allowed to query an integer q \in [1,n], and receive a response comparing this integer to an integer randomly chosen from S. The algorithm has no control over which element of S the query q is compared to. We show tight bounds for this problem. In particular, we show that in the natural regime where k <= n, the optimal number of queries to attain n^{-Omega(1)} error probability is Theta(k^3 log n). In the regime where k > n, the optimal number of queries is Theta(n^2 k log n). Our main technical tools include the use of information theory to derive the lower bounds, and the application of noisy binary search in the spirit of Feige, Raghavan, Peleg, and Upfal (1994). In particular, our lower bound technique is likely to be applicable in other situations that involve search under uncertainty.
Cite as

Mark Braverman and Gal Oshri. Search using queries on indistinguishable items. In 30th International Symposium on Theoretical Aspects of Computer Science (STACS 2013). Leibniz International Proceedings in Informatics (LIPIcs), Volume 20, pp. 610-621, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2013)

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@InProceedings{braverman_et_al:LIPIcs.STACS.2013.610,
  author =	{Braverman, Mark and Oshri, Gal},
  title =	{{Search using queries on indistinguishable items}},
  booktitle =	{30th International Symposium on Theoretical Aspects of Computer Science (STACS 2013)},
  pages =	{610--621},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-939897-50-7},
  ISSN =	{1868-8969},
  year =	{2013},
  volume =	{20},
  editor =	{Portier, Natacha and Wilke, Thomas},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.STACS.2013.610},
  URN =		{urn:nbn:de:0030-drops-39696},
  doi =		{10.4230/LIPIcs.STACS.2013.610},
  annote =	{Keywords: Search, Noisy Search, Information Theory, Query Complexity}
}
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