Higher-order Erdos--Szekeres theorems
Marek Elias, Jiri Matousek

TL;DR
This paper generalizes classical Erdos--Szekeres theorems to higher-order monotonicity, establishing bounds for the size of such subsequences in point sets and connecting to hypergraph colorings and order-type homogeneous subsets.
Contribution
It introduces a new framework for higher-order monotonicity, providing bounds and constructions that unify and extend classical geometric Ramsey results.
Findings
Established an $oldsymbol{oldsymbol{oldsymbol{ ext{Omega}}}( ext{log}^{(k-1)}N)}$ lower bound for kth-order monotone subsequences.
Constructed a geometric example with an $oldsymbol{ ext{O}( ext{log} ext{log}N)}$ upper bound for k=3, tight up to a constant.
Connected higher-order monotonicity to hypergraph colorings and order-type homogeneous subsets in higher dimensions.
Abstract
Let P=(p_1,p_2,...,p_N) be a sequence of points in the plane, where p_i=(x_i,y_i) and x_1<x_2<...<x_N. A famous 1935 Erdos--Szekeres theorem asserts that every such P contains a monotone subsequence S of points. Another, equally famous theorem from the same paper implies that every such P contains a convex or concave subsequence of points. Monotonicity is a property determined by pairs of points, and convexity concerns triples of points. We propose a generalization making both of these theorems members of an infinite family of Ramsey-type results. First we define a (k+1)-tuple to be positive if it lies on the graph of a function whose kth derivative is everywhere nonnegative, and similarly for a negative (k+1)-tuple. Then we say that is kth-order monotone if its (k+1)-tuples are all positive or all negative. We investigate…
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Taxonomy
TopicsComputational Geometry and Mesh Generation · Digital Image Processing Techniques · Advanced Numerical Analysis Techniques
