Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/89383
Title: | A composition theorem for randomized query complexity | Authors: | Anshu, Anurag Gavinsky, Dmitry Jain, Rahul Kundu, Srijita Lee, Troy Mukhopadhyay, Priyanka Santha, Miklos Sanyal, Swagato |
Keywords: | Decision Trees DRNTU::Science::Mathematics Query Algorithms And Complexity |
Issue Date: | 2018 | Source: | Anshu, A., Gavinsky, D., Jain, R., Kundu, S., Lee, T., Mukhopadhyay, P., . . . Sanyal, S. (2018). A composition theorem for randomized query complexity. Leibniz International Proceedings in Informatics, 93, 10-. doi:10.4230/LIPIcs.FSTTCS.2017.10 | Series/Report no.: | Leibniz International Proceedings in Informatics | Abstract: | Let the randomized query complexity of a relation for error probability epsilon be denoted by R_epsilon(). We prove that for any relation f contained in {0,1}^n times R and Boolean function g:{0,1}^m -> {0,1}, R_{1/3}(f o g^n) = Omega(R_{4/9}(f).R_{1/2-1/n^4}(g)), where f o g^n is the relation obtained by composing f and g. We also show using an XOR lemma that R_{1/3}(f o (g^{xor}_{O(log n)})^n) = Omega(log n . R_{4/9}(f) . R_{1/3}(g))$, where g^{xor}_{O(log n)} is the function obtained by composing the XOR function on O(log n) bits and g. | URI: | https://hdl.handle.net/10356/89383 http://hdl.handle.net/10220/46216 |
DOI: | 10.4230/LIPIcs.FSTTCS.2017.10 | Schools: | School of Physical and Mathematical Sciences | Rights: | © 2018 Anurag Anshu, Dmitry Gavinsky, Rahul Jain, Srijita Kundu, Troy Lee, Priyanka Mukhopadhyay, Miklos Santha, and Swagato Sanyal; licensed under Creative Commons License CC-BY. | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | SPMS Journal Articles |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
A composition theorem for randomized query complexity.pdf | 541.52 kB | Adobe PDF | ![]() View/Open |
SCOPUSTM
Citations
50
7
Updated on May 1, 2025
Page view(s) 50
524
Updated on May 7, 2025
Download(s) 50
61
Updated on May 7, 2025
Google ScholarTM
Check
Altmetric
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.