Geodesic
Random multilinear maps and the Erdős box problem
Discrete analysis (2021) Cet article a éte moissonné depuis la source Scholastica

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By using random multilinear maps, we provide new lower bounds for the Erdős box problem, the problem of estimating the extremal number of the complete $d$-partite $d$-uniform hypergraph with two vertices in each part, thereby improving on work of Gunderson, Rödl and Sidorenko.
Publié le : 
@article{DAS_2021_a10,
     author = {David Conlon and Cosmin Pohoata and Dmitriy Zakharov},
     title = {Random multilinear maps and the {Erd\H{o}s} box problem},
     journal = {Discrete analysis},
     year = {2021},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/DAS_2021_a10/}
}
TY  - JOUR
AU  - David Conlon
AU  - Cosmin Pohoata
AU  - Dmitriy Zakharov
TI  - Random multilinear maps and the Erdős box problem
JO  - Discrete analysis
PY  - 2021
UR  - http://geodesic.mathdoc.fr/item/DAS_2021_a10/
LA  - en
ID  - DAS_2021_a10
ER  - 
%0 Journal Article
%A David Conlon
%A Cosmin Pohoata
%A Dmitriy Zakharov
%T Random multilinear maps and the Erdős box problem
%J Discrete analysis
%D 2021
%U http://geodesic.mathdoc.fr/item/DAS_2021_a10/
%G en
%F DAS_2021_a10
David Conlon; Cosmin Pohoata; Dmitriy Zakharov. Random multilinear maps and the Erdős box problem. Discrete analysis (2021). http://geodesic.mathdoc.fr/item/DAS_2021_a10/