647 research outputs found
Kolmogorov Random Graphs and the Incompressibility Method
We investigate topological, combinatorial, statistical, and enumeration
properties of finite graphs with high Kolmogorov complexity (almost all graphs)
using the novel incompressibility method. Example results are: (i) the mean and
variance of the number of (possibly overlapping) ordered labeled subgraphs of a
labeled graph as a function of its randomness deficiency (how far it falls
short of the maximum possible Kolmogorov complexity) and (ii) a new elementary
proof for the number of unlabeled graphs.Comment: LaTeX 9 page
Revlex-Initial 0/1-Polytopes
We introduce revlex-initial 0/1-polytopes as the convex hulls of
reverse-lexicographically initial subsets of 0/1-vectors. These polytopes are
special knapsack-polytopes. It turns out that they have remarkable extremal
properties. In particular, we use these polytopes in order to prove that the
minimum numbers f(d, n) of facets and the minimum average degree a(d, n) of the
graph of a d-dimensional 0/1-polytope with n vertices satisfy f(d, n) <= 3d and
a(d, n) <= d + 4. We furthermore show that, despite the sparsity of their
graphs, revlex-initial 0/1-polytopes satisfy a conjecture due to Mihail and
Vazirani, claiming that the graphs of 0/1-polytopes have edge-expansion at
least one.Comment: Accepted for publication in J. Comb. Theory Ser. A; 24 pages;
simplified proof of Theorem 1; corrected and improved version of Theorem 4
(the average degree is now bounded by d+4 instead of d+8); several minor
corrections suggested by the referee
Strong Forms of Stability from Flag Algebra Calculations
Given a hereditary family of admissible graphs and a function
that linearly depends on the statistics of order-
subgraphs in a graph , we consider the extremal problem of determining
, the maximum of over all admissible
graphs of order . We call the problem perfectly -stable for a graph
if there is a constant such that every admissible graph of order
can be made into a blow-up of by changing at most
adjacencies. As special
cases, this property describes all almost extremal graphs of order within
edges and shows that every extremal graph of order is a
blow-up of .
We develop general methods for establishing stability-type results from flag
algebra computations and apply them to concrete examples. In fact, one of our
sufficient conditions for perfect stability is stated in a way that allows
automatic verification by a computer. This gives a unifying way to obtain
computer-assisted proofs of many new results.Comment: 44 pages; incorporates reviewers' suggestion
Complexity of Coloring Graphs without Paths and Cycles
Let and denote a path on vertices and a cycle on
vertices, respectively. In this paper we study the -coloring problem for
-free graphs. Maffray and Morel, and Bruce, Hoang and Sawada,
have proved that 3-colorability of -free graphs has a finite forbidden
induced subgraphs characterization, while Hoang, Moore, Recoskie, Sawada, and
Vatshelle have shown that -colorability of -free graphs for
does not. These authors have also shown, aided by a computer search, that
4-colorability of -free graphs does have a finite forbidden induced
subgraph characterization. We prove that for any , the -colorability of
-free graphs has a finite forbidden induced subgraph
characterization. We provide the full lists of forbidden induced subgraphs for
and . As an application, we obtain certifying polynomial time
algorithms for 3-coloring and 4-coloring -free graphs. (Polynomial
time algorithms have been previously obtained by Golovach, Paulusma, and Song,
but those algorithms are not certifying); To complement these results we show
that in most other cases the -coloring problem for -free
graphs is NP-complete. Specifically, for we show that -coloring is
NP-complete for -free graphs when and ; for we show that -coloring is NP-complete for -free graphs
when , ; and additionally, for , we show that
-coloring is also NP-complete for -free graphs if and
. This is the first systematic study of the complexity of the
-coloring problem for -free graphs. We almost completely
classify the complexity for the cases when , and
identify the last three open cases
The phase transition in inhomogeneous random graphs
We introduce a very general model of an inhomogenous random graph with
independence between the edges, which scales so that the number of edges is
linear in the number of vertices. This scaling corresponds to the p=c/n scaling
for G(n,p) used to study the phase transition; also, it seems to be a property
of many large real-world graphs. Our model includes as special cases many
models previously studied.
We show that under one very weak assumption (that the expected number of
edges is `what it should be'), many properties of the model can be determined,
in particular the critical point of the phase transition, and the size of the
giant component above the transition. We do this by relating our random graphs
to branching processes, which are much easier to analyze.
We also consider other properties of the model, showing, for example, that
when there is a giant component, it is `stable': for a typical random graph, no
matter how we add or delete o(n) edges, the size of the giant component does
not change by more than o(n).Comment: 135 pages; revised and expanded slightly. To appear in Random
Structures and Algorithm
Communication networks with endogenous link strength
This paper analyzes the formation of networks when players choose how much to invest in each relationship. We suppose that players have a fixed endowment that they can allocate across links, and in the baseline model, suppose that link strength is an additively separable and convex function of individual investments, and that agents use the path which maximizes the product of link strengths. We show that both the stable and efficient network architectures are stars. However, the investments of the hub may differ in stable and efficient networks. Under alternative assumptions on the investment technology and the reliability measure, other network architectures can emerge as efficient and stable
Strictly monotonic multidimensional sequences and stable sets in pillage games
Let have size . We show that
there are distinct points such that for
each , the coordinate sequence is strictly
increasing, strictly decreasing, or constant, and that this bound on is
best possible. This is analogous to the \erdos-Szekeres theorem on monotonic
sequences in . We apply these results to bound the size of a stable set
in a pillage game. We also prove a theorem of independent combinatorial
interest. Suppose is a set of points in
such that the set of pairs of points not sharing a coordinate is
precisely . We show that , and
that this bound is best possible
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