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Perfect Matchings with Crossings.

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Summary
This summary is machine-generated.

This study explores perfect matchings in geometric point sets, proving that for large n, perfect matchings with any number of crossings k exist. Convex point sets minimize and maximize crossing counts for specific k values.

Keywords:
Combinatorial geometryCrossingsGeometric graphsOrder typesPerfect matchings

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Area of Science:

  • Computational Geometry
  • Combinatorics
  • Graph Theory

Background:

  • Perfect matchings are pairs of non-adjacent vertices in a graph.
  • Plane perfect matchings are drawings of perfect matchings without edge crossings.
  • Catalan numbers quantify the number of plane perfect matchings for n points in convex position.

Purpose of the Study:

  • To generalize the understanding of perfect matchings beyond plane configurations.
  • To investigate the number of perfect matchings with a specific number of edge crossings (k).
  • To determine how point set configurations influence the distribution of crossing numbers in perfect matchings.

Main Methods:

  • Analysis of straight-line drawings of perfect matchings on sets of n points in general position.
  • Combinatorial arguments to establish existence and bounds on the number of crossings.
  • Comparison of crossing number distributions for point sets in general versus convex positions.

Main Results:

  • For sufficiently large n, any set of points in general position admits a perfect matching with exactly k crossings for any k.
  • Existence of point sets where all perfect matchings have at most O(n^2) crossings.
  • The number of perfect matchings with at most k crossings grows superexponentially with n when k is superlinear in n.
  • Point sets in convex position minimize the count of perfect matchings with at most k crossings and maximize those with k crossings.

Conclusions:

  • The number of crossings in perfect matchings is highly dependent on the configuration of the point set.
  • General position point sets offer greater flexibility in achieving specific crossing numbers.
  • Convex position point sets represent extremal cases for minimizing or maximizing matchings with certain crossing counts.