No Arabic abstract
A defensive $k$-alliance in a graph is a set $S$ of vertices with the property that every vertex in $S$ has at least $k$ more neighbors in $S$ than it has outside of $S$. A defensive $k$-alliance $S$ is called global if it forms a dominating set. In this paper we study the problem of partitioning the vertex set of a graph into (global) defensive $k$-alliances. The (global) defensive $k$-alliance partition number of a graph $Gamma=(V,E)$, ($psi_{k}^{gd}(Gamma)$) $psi_k^{d}(Gamma)$, is defined to be the maximum number of sets in a partition of $V$ such that each set is a (global) defensive $k$-alliance. We obtain tight bounds on $psi_k^{d}(Gamma)$ and $psi_{k}^{gd}(Gamma)$ in terms of several parameters of the graph including the order, size, maximum and minimum degree, the algebraic connectivity and the isoperimetric number. Moreover, we study the close relationships that exist among partitions of $Gamma_1times Gamma_2$ into (global) defensive $(k_1+k_2)$-alliances and partitions of $Gamma_i$ into (global) defensive $k_i$-alliances, $iin {1,2}$.
We demonstrate that a quantum annealer can be used to solve the NP-complete problem of graph partitioning into subgraphs containing Hamiltonian cycles of constrained length. We present a method to find a partition of a given directed graph into Hamiltonian subgraphs with three or more vertices, called vertex 3-cycle cover. We formulate the problem as a quadratic unconstrained binary optimisation and run it on a D-Wave Advantage quantum annealer. We test our method on synthetic graphs constructed by adding a number of random edges to a set of disjoint cycles. We show that the probability of solution is independent of the cycle length, and a solution is found for graphs up to 4000 vertices and 5200 edges, close to the number of physical working qubits available on the quantum annealer.
In this paper, we exploit the theory of dense graph limits to provide a new framework to study the stability of graph partitioning methods, which we call structural consistency. Both stability under perturbation as well as asymptotic consistency (i.e., convergence with probability $1$ as the sample size goes to infinity under a fixed probability model) follow from our notion of structural consistency. By formulating structural consistency as a continuity result on the graphon space, we obtain robust results that are completely independent of the data generating mechanism. In particular, our results apply in settings where observations are not independent, thereby significantly generalizing the common probabilistic approach where data are assumed to be i.i.d. In order to make precise the notion of structural consistency of graph partitioning, we begin by extending the theory of graph limits to include vertex colored graphons. We then define continuous node-level statistics and prove that graph partitioning based on such statistics is consistent. Finally, we derive the structural consistency of commonly used clustering algorithms in a general model-free setting. These include clustering based on local graph statistics such as homomorphism densities, as well as the popular spectral clustering using the normalized Laplacian. We posit that proving the continuity of clustering algorithms in the graph limit topology can stand on its own as a more robust form of model-free consistency. We also believe that the mathematical framework developed in this paper goes beyond the study of clustering algorithms, and will guide the development of similar model-free frameworks to analyze other procedures in the broader mathematical sciences.
Let $G=(V,E)$ and $H$ be two graphs. Packing problem is to find in $G$ the largest number of independent subgraphs each of which is isomorphic to $H$. Let $Usubset{V}$. If the graph $G-U$ has no subgraph isomorphic to $H$, $U$ is a cover of $G$. Covering problem is to find the smallest set $U$. The vertex-disjoint tree packing was not sufficiently discussed in literature but has its applications in data encryption and in communication networks such as multi-cast routing protocol design. In this paper, we give the kind of $(k+1)$-connected graph $G$ into which we can pack independently the subgraphs that are each isomorphic to the $(2^{k+1}-1)$-order perfect binary tree $T_k$. We prove that in $G$ the largest number of vertex-disjoint subgraphs isomorphic to $T_k$ is equal to the smallest number of vertices that cover all subgraphs isomorphic to $T_k$. Then, we propose that $T_k$ does not have the emph{ErdH{o}s-P{o}sa} property. We also prove that the $T_k$ packing problem in an arbitrary graph is NP-hard, and propose the distributed approximation algorithms.
We show that for any colouring of the edges of the complete bipartite graph $K_{n,n}$ with 3 colours there are 5 disjoint monochromatic cycles which together cover all but $o(n)$ of the vertices. In the same situation, 18 disjoint monochromatic cycles together cover all vertices.
We show that for $n geq 3, n e 5$, in any partition of $mathcal{P}(n)$, the set of all subsets of $[n]={1,2,dots,n}$, into $2^{n-2}-1$ parts, some part must contain a triangle --- three different subsets $A,B,Csubseteq [n]$ such that $Acap B$, $Acap C$, and $Bcap C$ have distinct representatives. This is sharp, since by placing two complementary pairs of sets into each partition class, we have a partition into $2^{n-2}$ triangle-free parts. We also address a more general Ramsey-type problem: for a given graph $G$, find (estimate) $f(n,G)$, the smallest number of colors needed for a coloring of $mathcal{P}(n)$, such that no color class contains a Berge-$G$ subhypergraph. We give an upper bound for $f(n,G)$ for any connected graph $G$ which is asymptotically sharp (for fixed $k$) when $G=C_k, P_k, S_k$, a cycle, path, or star with $k$ edges. Additional bounds are given for $G=C_4$ and $G=S_3$.