Exponential Erdős–Szekeres theorem for matrices

Abstract In 1993, Fishburn and Graham established the following qualitative extension of the classical Erdős–Szekeres theorem. If is sufficiently large with respect to , then any real matrix contains an submatrix in which every row and every column is monotone. We prove that the smallest such is at most , greatly improving the previously best known double‐exponential upper bound of Bucić, Sudakov, and Tran, and matching the best known lower bound on an exponential scale. In particular, we prove the following surprisingly sharp transition in the asymmetric setting. On one hand, every matrix contains an submatrix, in which every row is monotone. On the other hand, there exist matrices containing no such submatrix.

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Publication Details

Journal
Proceedings of the London Mathematical Society
Published
2024-09-01
DOI
https://doi.org/10.1112/plms.12632
Primary Topic
Graph theory and applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Exponential Erdős–Szekeres theorem for matrices

István Tomon, Eero Räty, Zhihan Jin, Recep Altar Çiçeksiz
Proceedings of the London Mathematical Society
Graph theory and applications
article

Exponential Erdős–Szekeres theorem for matrices

István Tomon, Eero Räty, Zhihan Jin, Recep Altar Çiçeksiz
article en

Abstract

Abstract In 1993, Fishburn and Graham established the following qualitative extension of the classical Erdős–Szekeres theorem. If is sufficiently large with respect to , then any real matrix contains an submatrix in which every row and every column is monotone. We prove that the smallest such is at most , greatly improving the previously best known double‐exponential upper bound of Bucić, Sudakov, and Tran, and matching the best known lower bound on an exponential scale. In particular, we prove the following surprisingly sharp transition in the asymmetric setting. On one hand, every matrix contains an submatrix, in which every row is monotone. On the other hand, there exist matrices containing no such submatrix.

Proceedings of the London Mathematical SocietyVol. 129(3)
Statistics Sweden (SE), ETH Zurich (CH), Umeå University (SE)
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Vetenskapsrådet
Openalex Percentile: Top 76%
Graph theory and applications
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