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A Gaussian Fixed Point Random Walk

Authors Yang P. Liu, Ashwin Sah, Mehtaab Sawhney



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Author Details

Yang P. Liu
  • Department of Mathematics, Stanford University, Stanford, CA, USA
Ashwin Sah
  • Department of Mathematics, Massachusetts Institute of Technology, Cambridge, MA, USA
Mehtaab Sawhney
  • Department of Mathematics, Massachusetts Institute of Technology, Cambridge, MA, USA

Acknowledgements

The authors thank Ryan Alweiss, Arun Jambulapati, Allen Liu, and Mark Sellke for earlier discussions on this topic. Furthermore we thank Ghaith Hiary for discussions regarding computing theta series. Finally we thank Nikhil Bansal for comments on the manuscript.

Cite AsGet BibTex

Yang P. Liu, Ashwin Sah, and Mehtaab Sawhney. A Gaussian Fixed Point Random Walk. In 13th Innovations in Theoretical Computer Science Conference (ITCS 2022). Leibniz International Proceedings in Informatics (LIPIcs), Volume 215, pp. 101:1-101:10, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2022)
https://doi.org/10.4230/LIPIcs.ITCS.2022.101

Abstract

In this note, we design a discrete random walk on the real line which takes steps 0,±1 (and one with steps in {±1,2}) where at least 96% of the signs are ±1 in expectation, and which has 𝒩(0,1) as a stationary distribution. As an immediate corollary, we obtain an online version of Banaszczyk’s discrepancy result for partial colorings and ±1,2 signings. Additionally, we recover linear time algorithms for logarithmic bounds for the Komlós conjecture in an oblivious online setting.

Subject Classification

ACM Subject Classification
  • Mathematics of computing → Probabilistic algorithms
Keywords
  • Discrepancy
  • Partial Coloring

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References

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