Papers
Topics
Authors
Recent
Detailed Answer
Quick Answer
Concise responses based on abstracts only
Detailed Answer
Well-researched responses based on abstracts and relevant paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses
Gemini 2.5 Flash
Gemini 2.5 Flash 80 tok/s
Gemini 2.5 Pro 48 tok/s Pro
GPT-5 Medium 31 tok/s Pro
GPT-5 High 21 tok/s Pro
GPT-4o 86 tok/s Pro
GPT OSS 120B 454 tok/s Pro
Kimi K2 160 tok/s Pro
2000 character limit reached

A canonical Ramsey theorem with list constraints in random (hyper-)graphs (2304.01846v2)

Published 4 Apr 2023 in math.CO

Abstract: The celebrated canonical Ramsey theorem of Erd\H{o}s and Rado implies that for a given $k$-uniform hypergraph (or $k$-graph) $H$, if $n$ is sufficiently large then any colouring of the edges of the complete $k$-graph $K{(k)}_n$ gives rise to copies of $H$ that exhibit certain colour patterns. We are interested in sparse random versions of this result and the threshold at which the random $k$-graph ${\mathbf{G}}{(k)}(n,p)$ inherits the canonical Ramsey properties of $K{(k)}_n$. Our main result here pins down this threshold when we focus on colourings that are constrained by some prefixed lists. This result is applied in an accompanying work of the authors on the threshold for the canonical Ramsey property (with no list constraints) in the case that $H$ is a (2-uniform) even cycle.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Summary

We haven't generated a summary for this paper yet.

Ai Generate Text Spark Streamline Icon: https://streamlinehq.com

Paper Prompts

Sign up for free to create and run prompts on this paper using GPT-5.

Dice Question Streamline Icon: https://streamlinehq.com

Follow-up Questions

We haven't generated follow-up questions for this paper yet.

Don't miss out on important new AI/ML research

See which papers are being discussed right now on X, Reddit, and more:

“Emergent Mind helps me see which AI papers have caught fire online.”

Philip

Philip

Creator, AI Explained on YouTube