731 research outputs found
Coloring random graphs online without creating monochromatic subgraphs
Consider the following random process: The vertices of a binomial random
graph are revealed one by one, and at each step only the edges
induced by the already revealed vertices are visible. Our goal is to assign to
each vertex one from a fixed number of available colors immediately and
irrevocably without creating a monochromatic copy of some fixed graph in
the process. Our first main result is that for any and , the threshold
function for this problem is given by , where
denotes the so-called \emph{online vertex-Ramsey density} of
and . This parameter is defined via a purely deterministic two-player game,
in which the random process is replaced by an adversary that is subject to
certain restrictions inherited from the random setting. Our second main result
states that for any and , the online vertex-Ramsey density
is a computable rational number. Our lower bound proof is algorithmic, i.e., we
obtain polynomial-time online algorithms that succeed in coloring as
desired with probability for any .Comment: some minor addition
Collision Times in Multicolor Urn Models and Sequential Graph Coloring With Applications to Discrete Logarithms
Consider an urn model where at each step one of colors is sampled
according to some probability distribution and a ball of that color is placed
in an urn. The distribution of assigning balls to urns may depend on the color
of the ball. Collisions occur when a ball is placed in an urn which already
contains a ball of different color. Equivalently, this can be viewed as
sequentially coloring a complete -partite graph wherein a collision
corresponds to the appearance of a monochromatic edge. Using a Poisson
embedding technique, the limiting distribution of the first collision time is
determined and the possible limits are explicitly described. Joint distribution
of successive collision times and multi-fold collision times are also derived.
The results can be used to obtain the limiting distributions of running times
in various birthday problem based algorithms for solving the discrete logarithm
problem, generalizing previous results which only consider expected running
times. Asymptotic distributions of the time of appearance of a monochromatic
edge are also obtained for other graphs.Comment: Minor revision. 35 pages, 2 figures. To appear in Annals of Applied
Probabilit
Exact solutions for the two- and all-terminal reliabilities of the Brecht-Colbourn ladder and the generalized fan
The two- and all-terminal reliabilities of the Brecht-Colbourn ladder and the
generalized fan have been calculated exactly for arbitrary size as well as
arbitrary individual edge and node reliabilities, using transfer matrices of
dimension four at most. While the all-terminal reliabilities of these graphs
are identical, the special case of identical edge () and node ()
reliabilities shows that their two-terminal reliabilities are quite distinct,
as demonstrated by their generating functions and the locations of the zeros of
the reliability polynomials, which undergo structural transitions at
07211 Abstracts Collection -- Exact, Approximative, Robust and Certifying Algorithms on Particular Graph Classes
From May 20 to May 25, 2007, the Dagstuhl Seminar 07211 ``Exact, Approximative, Robust and Certifying Algorithms on Particular Graph Classes\u27\u27 was held
in the International Conference and Research Center (IBFI), Schloss Dagstuhl.
During the seminar, several participants presented their current
research, and ongoing work and open problems were discussed. Abstracts of
the presentations given during the seminar as well as abstracts of
seminar results and ideas are put together in this paper. The first section
describes the seminar topics and goals in general.
Links to extended abstracts or full papers are provided, if available
Improved NP-Hardness of Approximation for Orthogonality Dimension and Minrank
The orthogonality dimension of a graph G over ? is the smallest integer k for which one can assign a nonzero k-dimensional real vector to each vertex of G, such that every two adjacent vertices receive orthogonal vectors. We prove that for every sufficiently large integer k, it is NP-hard to decide whether the orthogonality dimension of a given graph over ? is at most k or at least 2^{(1-o(1))?k/2}. We further prove such hardness results for the orthogonality dimension over finite fields as well as for the closely related minrank parameter, which is motivated by the index coding problem in information theory. This in particular implies that it is NP-hard to approximate these graph quantities to within any constant factor. Previously, the hardness of approximation was known to hold either assuming certain variants of the Unique Games Conjecture or for approximation factors smaller than 3/2. The proofs involve the concept of line digraphs and bounds on their orthogonality dimension and on the minrank of their complement
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