5 research outputs found
Chip games and paintability
We prove that the difference between the paint number and the choice number
of a complete bipartite graph is . That answers
the question of Zhu (2009) whether this difference, for all graphs, can be
bounded by a common constant. By a classical correspondence, our result
translates to the framework of on-line coloring of uniform hypergraphs. This
way we obtain that for every on-line two coloring algorithm there exists a
k-uniform hypergraph with edges on which the strategy fails. The
results are derived through an analysis of a natural family of chip games
On-line Algorithms for 2-Coloring Hypergraphs via Chip Games
ErdĆs has shown that for all k-hypergraphs with fewer than 2 k\Gamma1 edges, there exists a 2-coloring of the nodes so that no edge is monochromatic. Erdos has also shown that when the number of edges is greater than k 2 2 k+1 , there exist k-hypergraphs with no such 2-coloring. These bounds are not contructive, however. In this paper, we take an "on-line" look at this problem, showing constructive upper and lower bounds on the number of edges of a hypergraph which allow it to be 2-colored on-line. These bounds become particularly interesting for degree-k k-hypergraphs which always have a good 2-coloring for all k 10 by the LovĂĄsz Local Lemma. In this case, our upper bound demonstrates an inherent weakness of on-line strategies by constructing an adversary which defeats any on-line 2-coloring algorithm using degree-k k-hypergraph with (3 + 2 p 2) k edges
On-line Algorithms for 2-Coloring Hypergraphs via Chip Games
Erdös has shown that for all k-hypergraphs with fewer than 2 kâ1 edges, there exists a 2-coloring of the nodes so that no edge is monochromatic. Erdös has also shown that when the number of edges is greater than k 2 2 k+1, there exist k-hypergraphs with no such 2-coloring. These bounds are not constructive, however. In this paper, we take an âon-line â look at this problem, showing constructive upper and lower bounds on the number of edges of a hypergraph which allow it to be 2-colored on-line. These bounds become particularly interesting for degree-k k-hypergraphs which always have a good 2-coloring for all k â„ 10 by the LovĂĄsz Local Lemma. In this case, our upper bound demonstrates an inherent weakness of on-line strategies by constructing an adversary which defeats any on-line 2-coloring algorithm using degree-k k-hypergraph with (3 + 2 â 2) k edges
Noise tolerant algorithms for learning and searching
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1995.Includes bibliographical references (p. 109-112).by Javed Alexander Aslam.Ph.D