We introduce a graph Ramsey game called Ramsey, Paper, Scissors. This game has two players, Proposer and Decider. Starting from an empty graph on
The triangle‐free process begins with an empty graph on
- PAR ID:
- 10260116
- Publisher / Repository:
- Wiley Blackwell (John Wiley & Sons)
- Date Published:
- Journal Name:
- Random Structures & Algorithms
- Volume:
- 58
- Issue:
- 2
- ISSN:
- 1042-9832
- Page Range / eLocation ID:
- p. 221-293
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
More Like this
-
n vertices, on each turn Proposer proposes a potential edge and Decider simultaneously decides (without knowing Proposer's choice) whether to add it to the graph. Proposer cannot propose an edge which would create a triangle in the graph. The game ends when Proposer has no legal moves remaining, and Proposer wins if the final graph has independence number at leasts . We prove a threshold phenomenon exists for this game by exhibiting randomized strategies for both players that are optimal up to constants. Namely, there exist constants 0 <A <B such that (under optimal play) Proposer wins with high probability if, while Decider wins with high probability if . This is a factor of larger than the lower bound coming from the off‐diagonal Ramsey number r (3,s ). -
Abstract The classical Hadwiger conjecture dating back to 1940s states that any graph of chromatic number at least
r has the clique of orderr as a minor. Hadwiger's conjecture is an example of a well‐studied class of problems asking how large a clique minor one can guarantee in a graph with certain restrictions. One problem of this type asks what is the largest size of a clique minor in a graph onn vertices of independence numberat most r . If true Hadwiger's conjecture would imply the existence of a clique minor of order. Results of Kühn and Osthus and Krivelevich and Sudakov imply that if one assumes in addition that G isH ‐free for some bipartite graphH then one can find a polynomially larger clique minor. This has recently been extended to triangle‐free graphs by Dvořák and Yepremyan, answering a question of Norin. We complete the picture and show that the same is true for arbitrary graphH , answering a question of Dvořák and Yepremyan. In particular, we show that any‐free graph has a clique minor of order , for some constant depending only on s . The exponent in this result is tight up to a constant factor in front of theterm. -
Abstract Given a graph
, its auxiliary square‐graph is the graph whose vertices are the non‐edges of and whose edges are the pairs of non‐edges which induce a square (i.e., a 4‐cycle) in . We determine the threshold edge‐probability at which the Erdős–Rényi random graph begins to asymptotically almost surely (a.a.s.) have a square‐graph with a connected component whose squares together cover all the vertices of . We show , a polylogarithmic improvement on earlier bounds on due to Hagen and the authors. As a corollary, we determine the threshold at which the random right‐angled Coxeter group a.a.s. becomes strongly algebraically thick of order 1 and has quadratic divergence. -
Abstract For graphs
G andF , writeif any coloring of the edges of G withcolors yields a monochromatic copy of the graph F . Supposeis obtained from a graph S withs vertices and maximum degreed by subdividing its edgesh times (that is, by replacing the edges ofS by paths of lengthh + 1). We prove that there exists a graphG with no more thanedges for which holds, provided that . We also extend this result to the case in which Q is a graph with maximum degreed onq vertices with the property that every pair of vertices of degree greater than 2 are distance at leasth + 1 apart. This complements work of Pak regarding the size Ramsey number of “long subdivisions” of bounded degree graphs. -
Abstract In this paper we provide an algorithm that generates a graph with given degree sequence uniformly at random. Provided that
, where is the maximal degree and m is the number of edges, the algorithm runs in expected timeO (m ). Our algorithm significantly improves the previously most efficient uniform sampler, which runs in expected timefor the same family of degree sequences. Our method uses a novel ingredient which progressively relaxes restrictions on an object being generated uniformly at random, and we use this to give fast algorithms for uniform sampling of graphs with other degree sequences as well. Using the same method, we also obtain algorithms with expected run time which is (i) linear for power‐law degree sequences in cases where the previous best was O (n 4.081), and (ii)O (nd +d 4) ford ‐regular graphs when, where the previous best was O (nd 3).