On the Integrality Gap of Degree-4 Sum of Squares for Planted Clique

Author:

Hopkins Samuel B.1,Kothari Pravesh2,Potechin Aaron Henry3,Raghavendra Prasad4,Schramm Tselil3

Affiliation:

1. Cornell University, Ithaca, NY

2. UT Austin

3. UC Berkeley

4. UC Berkeley, Berkeley, CA

Abstract

The problem of finding large cliques in random graphs and its “planted” variant, where one wants to recover a clique of size ω > log ( n ) added to an Erdős-Rényi graph GG ( n ,1/2), have been intensely studied. Nevertheless, existing polynomial time algorithms can only recover planted cliques of size ω = Ω (√ n ). By contrast, information theoretically, one can recover planted cliques so long as ω > log ( n ). In this work, we continue the investigation of algorithms from the Sum of Squares hierarchy for solving the planted clique problem begun by Meka, Potechin, and Wigderson [2] and Deshpande and Montanari [25]. Our main result is that degree four SoS does not recover the planted clique unless ω > √ n / polylog n , improving on the bound ω > n 1/3 due to Reference [25]. An argument of Kelner shows that the this result cannot be proved using the same certificate as prior works. Rather, our proof involves constructing and analyzing a new certificate that yields the nearly tight lower bound by “correcting” the certificate of References [2, 25, 27].

Funder

NSF Career Award

NSF Graduate Research Fellowship

Publisher

Association for Computing Machinery (ACM)

Subject

Mathematics (miscellaneous)

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Planted Bipartite Graph Detection;IEEE Transactions on Information Theory;2024-06

2. Cryptography from Planted Graphs: Security with Logarithmic-Size Messages;Theory of Cryptography;2023

3. Inferring Hidden Structures in Random Graphs;IEEE Transactions on Signal and Information Processing over Networks;2022

4. The overlap gap property in principal submatrix recovery;Probability Theory and Related Fields;2021-09-27

5. On the Power of Symmetric Linear Programs;Journal of the ACM;2021-07-28

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3