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Nearly-linear monotone paths in edge-ordered graphs Bucic, Matija
Description
How long a monotone path can one always find in any edge-ordering of the complete graph $K_n$ This appealing question was first asked by Chvatal and Komlos in 1971, and has since attracted the attention of many researchers, inspiring a variety of related problems. The prevailing conjecture is that one can always find a monotone path of linear length, but until now the best known lower bound was $n^{2/3-o(1)}$. We almost close this gap, proving that any edge-ordering of the complete graph contains a monotone path of length $n^{1-o(1)}$. This is joint work with Matthew Kwan, Alexey Pokrovskiy, Benny Sudakov, Tuan Tran and Adam Wagner.
Item Metadata
Title |
Nearly-linear monotone paths in edge-ordered graphs
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Creator | |
Publisher |
Banff International Research Station for Mathematical Innovation and Discovery
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Date Issued |
2019-09-04T10:40
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Description |
How long a monotone path can one always find in any edge-ordering of the complete graph $K_n$ This appealing question was first asked by Chvatal and Komlos in 1971, and has since attracted the attention of many researchers, inspiring a variety of related problems. The prevailing conjecture is that one can always find a monotone path of linear length, but until now the best known lower bound was $n^{2/3-o(1)}$. We almost close this gap, proving that any edge-ordering of the complete graph contains a monotone path of length $n^{1-o(1)}$. This is joint work with Matthew Kwan, Alexey Pokrovskiy, Benny Sudakov, Tuan Tran and Adam Wagner.
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Extent |
35.0 minutes
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Subject | |
Type | |
File Format |
video/mp4
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Language |
eng
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Notes |
Author affiliation: ETH Zurich
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Series | |
Date Available |
2020-03-03
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
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DOI |
10.14288/1.0388838
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URI | |
Affiliation | |
Peer Review Status |
Unreviewed
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Scholarly Level |
Graduate
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Rights URI | |
Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International