86 research outputs found
Rate-distance tradeoff for codes above graph capacity
The capacity of a graph is defined as the rate of exponential growth of
independent sets in the strong powers of the graph. In the strong power an edge
connects two sequences if at each position their letters are equal or adjacent.
We consider a variation of the problem where edges in the power graphs are
removed between sequences which differ in more than a fraction of
coordinates. The proposed generalization can be interpreted as the problem of
determining the highest rate of zero undetected-error communication over a link
with adversarial noise, where only a fraction of symbols can be
perturbed and only some substitutions are allowed.
We derive lower bounds on achievable rates by combining graph homomorphisms
with a graph-theoretic generalization of the Gilbert-Varshamov bound. We then
give an upper bound, based on Delsarte's linear programming approach, which
combines Lov\'asz' theta function with the construction used by McEliece et al.
for bounding the minimum distance of codes in Hamming spaces.Comment: 5 pages. Presented at 2016 IEEE International Symposium on
Information Theor
Skewincidence
We introduce a new class of problems lying halfway between questions about
graph capacity and intersection. We say that two binary sequences x and y of
the same length have a skewincidence if there is a coordinate i for which
x_i=y_{i+1}=1 or vice versa. We give rather sharp bounds on the maximum number
of binary sequences of length n any pair of which has a skewincidence
Robust capacitated trees and networks with uniform demands
We are interested in the design of robust (or resilient) capacitated rooted
Steiner networks in case of terminals with uniform demands. Formally, we are
given a graph, capacity and cost functions on the edges, a root, a subset of
nodes called terminals, and a bound k on the number of edge failures. We first
study the problem where k = 1 and the network that we want to design must be a
tree covering the root and the terminals: we give complexity results and
propose models to optimize both the cost of the tree and the number of
terminals disconnected from the root in the worst case of an edge failure,
while respecting the capacity constraints on the edges. Second, we consider the
problem of computing a minimum-cost survivable network, i.e., a network that
covers the root and terminals even after the removal of any k edges, while
still respecting the capacity constraints on the edges. We also consider the
possibility of protecting a given number of edges. We propose three different
formulations: a cut-set based formulation, a flow based one, and a bilevel one
(with an attacker and a defender). We propose algorithms to solve each
formulation and compare their efficiency
Observations on the Lov\'asz -Function, Graph Capacity, Eigenvalues, and Strong Products
This paper provides new observations on the Lov\'{a}sz -function of
graphs. These include a simple closed-form expression of that function for all
strongly regular graphs, together with upper and lower bounds on that function
for all regular graphs. These bounds are expressed in terms of the
second-largest and smallest eigenvalues of the adjacency matrix of the regular
graph, together with sufficient conditions for equalities (the upper bound is
due to Lov\'{a}sz, followed by a new sufficient condition for its tightness).
These results are shown to be useful in many ways, leading to the determination
of the exact value of the Shannon capacity of various graphs, eigenvalue
inequalities, and bounds on the clique and chromatic numbers of graphs. Since
the Lov\'{a}sz -function factorizes for the strong product of graphs,
the results are also particularly useful for parameters of strong products or
strong powers of graphs. Bounds on the smallest and second-largest eigenvalues
of strong products of regular graphs are consequently derived, expressed as
functions of the Lov\'{a}sz -function (or the smallest eigenvalue) of
each factor. The resulting lower bound on the second-largest eigenvalue of a
-fold strong power of a regular graph is compared to the Alon--Boppana
bound; under a certain condition, the new bound is superior in its exponential
growth rate (in ). Lower bounds on the chromatic number of strong products
of graphs are expressed in terms of the order and the Lov\'{a}sz
-function of each factor. The utility of these bounds is exemplified,
leading in some cases to an exact determination of the chromatic numbers of
strong products or strong powers of graphs. The present research paper is aimed
to have tutorial value as well.Comment: electronic links to references were added in version 2; Available at
https://www.mdpi.com/1099-4300/25/1/10
Hamilton paths with lasting separation
We determine the asymptotics of the largest cardinality of a set of Hamilton
paths in the complete graph with vertex set [n] under the condition that for
any two of the paths in the family there is a subpath of length k entirely
contained in only one of them and edge{disjoint from the other one
Degree-doubling graph families
Let G be a family of n-vertex graphs of uniform degree 2 with the property
that the union of any two member graphs has degree four. We determine the
leading term in the asymptotics of the largest cardinality of such a family.
Several analogous problems are discussed.Comment: 9 page
Interlocked permutations
The zero-error capacity of channels with a countably infinite input alphabet
formally generalises Shannon's classical problem about the capacity of discrete
memoryless channels. We solve the problem for three particular channels. Our
results are purely combinatorial and in line with previous work of the third
author about permutation capacity.Comment: 8 page
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