{"language":[{"iso":"eng"}],"intvolume":" 99","oa_version":"Preprint","issue":"3","scopus_import":"1","quality_controlled":"1","title":"Anticoncentration for subgraph statistics","main_file_link":[{"url":"https://arxiv.org/abs/1807.05202","open_access":"1"}],"date_published":"2019-05-03T00:00:00Z","day":"03","publisher":"Wiley","year":"2019","article_type":"original","publication_identifier":{"eissn":["1469-7750"],"issn":["0024-6107"]},"extern":"1","type":"journal_article","date_updated":"2023-02-23T14:01:53Z","volume":99,"abstract":[{"text":"Consider integers 𝑘,ℓ such that 0⩽ℓ⩽(𝑘2) . Given a large graph 𝐺 , what is the fraction of 𝑘 -vertex subsets of 𝐺 which span exactly ℓ edges? When 𝐺 is empty or complete, and ℓ is zero or (𝑘2) , this fraction can be exactly 1. On the other hand, if ℓ is far from these extreme values, one might expect that this fraction is substantially smaller than 1. This was recently proved by Alon, Hefetz, Krivelevich, and Tyomkyn who initiated the systematic study of this question and proposed several natural conjectures.\r\nLet ℓ∗=min{ℓ,(𝑘2)−ℓ} . Our main result is that for any 𝑘 and ℓ , the fraction of 𝑘 -vertex subsets that span ℓ edges is at most log𝑂(1)(ℓ∗/𝑘)√ 𝑘/ℓ∗, which is best-possible up to the logarithmic factor. This improves on multiple results of Alon, Hefetz, Krivelevich, and Tyomkyn, and resolves one of their conjectures. In addition, we also make some first steps towards some analogous questions for hypergraphs.\r\nOur proofs involve some Ramsey-type arguments, and a number of different probabilistic tools, such as polynomial anticoncentration inequalities, hypercontractivity, and a coupling trick for random variables defined on a ‘slice’ of the Boolean hypercube.","lang":"eng"}],"publication_status":"published","publication":"Journal of the London Mathematical Society","_id":"9586","doi":"10.1112/jlms.12192","author":[{"id":"5fca0887-a1db-11eb-95d1-ca9d5e0453b3","last_name":"Kwan","orcid":"0000-0002-4003-7567","first_name":"Matthew Alan","full_name":"Kwan, Matthew Alan"},{"full_name":"Sudakov, Benny","first_name":"Benny","last_name":"Sudakov"},{"last_name":"Tran","full_name":"Tran, Tuan","first_name":"Tuan"}],"month":"05","date_created":"2021-06-22T09:46:03Z","citation":{"ieee":"M. A. Kwan, B. Sudakov, and T. Tran, “Anticoncentration for subgraph statistics,” Journal of the London Mathematical Society, vol. 99, no. 3. Wiley, pp. 757–777, 2019.","short":"M.A. Kwan, B. Sudakov, T. Tran, Journal of the London Mathematical Society 99 (2019) 757–777.","mla":"Kwan, Matthew Alan, et al. “Anticoncentration for Subgraph Statistics.” Journal of the London Mathematical Society, vol. 99, no. 3, Wiley, 2019, pp. 757–77, doi:10.1112/jlms.12192.","ama":"Kwan MA, Sudakov B, Tran T. Anticoncentration for subgraph statistics. Journal of the London Mathematical Society. 2019;99(3):757-777. doi:10.1112/jlms.12192","apa":"Kwan, M. A., Sudakov, B., & Tran, T. (2019). Anticoncentration for subgraph statistics. Journal of the London Mathematical Society. Wiley. https://doi.org/10.1112/jlms.12192","ista":"Kwan MA, Sudakov B, Tran T. 2019. Anticoncentration for subgraph statistics. Journal of the London Mathematical Society. 99(3), 757–777.","chicago":"Kwan, Matthew Alan, Benny Sudakov, and Tuan Tran. “Anticoncentration for Subgraph Statistics.” Journal of the London Mathematical Society. Wiley, 2019. https://doi.org/10.1112/jlms.12192."},"article_processing_charge":"No","oa":1,"user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf","external_id":{"arxiv":["1807.05202"]},"status":"public","page":"757-777"}