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Strong XOR Lemma for Information Complexity

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

For any {0,1}-valued function f, its n-folded XOR is the function fλ• n where fλ• n(X1, ..., Xn) = f(X1) λ• λ¯ λ• f(Xn). Given a procedure for computing the function f, one can apply a "naive"approach to compute fλ• n by computing each f(Xi) independently, followed by XORing the outputs. This approach uses n times the resources required for computing f. In this paper, we prove a strong XOR lemma for information complexity in the two-player randomized communication model: if computing f with an error probability of O(n-1) requires revealing I bits of information about the players' inputs, then computing fλ• n with a constant error requires revealing ω(n) · (I - 1 - on(1)) bits of information about the players' inputs. Our result demonstrates that the naive protocol for computing fλ• n is both information-theoretically optimal and asymptotically tight in error trade-offs.

Original languageEnglish (US)
Title of host publicationSTOC 2025 - Proceedings of the 57th Annual ACM Symposium on Theory of Computing
EditorsMichal Koucky, Nikhil Bansal
PublisherAssociation for Computing Machinery
Pages1626-1637
Number of pages12
ISBN (Electronic)9798400715105
DOIs
StatePublished - Jun 15 2025
Event57th Annual ACM Symposium on Theory of Computing, STOC 2025 - Prague, Czech Republic
Duration: Jun 23 2025Jun 27 2025

Publication series

NameProceedings of the Annual ACM Symposium on Theory of Computing
ISSN (Print)0737-8017

Conference

Conference57th Annual ACM Symposium on Theory of Computing, STOC 2025
Country/TerritoryCzech Republic
CityPrague
Period6/23/256/27/25

All Science Journal Classification (ASJC) codes

  • Software

Keywords

  • Communication Complexity
  • Information Complexity
  • XOR Lemma

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