24,900 research outputs found

    Fixed-Parameter Tractability of Token Jumping on Planar Graphs

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    Suppose that we are given two independent sets I0I_0 and IrI_r of a graph such that I0=Ir|I_0| = |I_r|, and imagine that a token is placed on each vertex in I0I_0. The token jumping problem is to determine whether there exists a sequence of independent sets which transforms I0I_0 into IrI_r so that each independent set in the sequence results from the previous one by moving exactly one token to another vertex. This problem is known to be PSPACE-complete even for planar graphs of maximum degree three, and W[1]-hard for general graphs when parameterized by the number of tokens. In this paper, we present a fixed-parameter algorithm for the token jumping problem on planar graphs, where the parameter is only the number of tokens. Furthermore, the algorithm can be modified so that it finds a shortest sequence for a yes-instance. The same scheme of the algorithms can be applied to a wider class of graphs, K3,tK_{3,t}-free graphs for any fixed integer t3t \ge 3, and it yields fixed-parameter algorithms

    Reconfiguration of Dominating Sets

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    We explore a reconfiguration version of the dominating set problem, where a dominating set in a graph GG is a set SS of vertices such that each vertex is either in SS or has a neighbour in SS. In a reconfiguration problem, the goal is to determine whether there exists a sequence of feasible solutions connecting given feasible solutions ss and tt such that each pair of consecutive solutions is adjacent according to a specified adjacency relation. Two dominating sets are adjacent if one can be formed from the other by the addition or deletion of a single vertex. For various values of kk, we consider properties of Dk(G)D_k(G), the graph consisting of a vertex for each dominating set of size at most kk and edges specified by the adjacency relation. Addressing an open question posed by Haas and Seyffarth, we demonstrate that DΓ(G)+1(G)D_{\Gamma(G)+1}(G) is not necessarily connected, for Γ(G)\Gamma(G) the maximum cardinality of a minimal dominating set in GG. The result holds even when graphs are constrained to be planar, of bounded tree-width, or bb-partite for b3b \ge 3. Moreover, we construct an infinite family of graphs such that Dγ(G)+1(G)D_{\gamma(G)+1}(G) has exponential diameter, for γ(G)\gamma(G) the minimum size of a dominating set. On the positive side, we show that Dnm(G)D_{n-m}(G) is connected and of linear diameter for any graph GG on nn vertices having at least m+1m+1 independent edges.Comment: 12 pages, 4 figure

    Reconfiguration on sparse graphs

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    A vertex-subset graph problem Q defines which subsets of the vertices of an input graph are feasible solutions. A reconfiguration variant of a vertex-subset problem asks, given two feasible solutions S and T of size k, whether it is possible to transform S into T by a sequence of vertex additions and deletions such that each intermediate set is also a feasible solution of size bounded by k. We study reconfiguration variants of two classical vertex-subset problems, namely Independent Set and Dominating Set. We denote the former by ISR and the latter by DSR. Both ISR and DSR are PSPACE-complete on graphs of bounded bandwidth and W[1]-hard parameterized by k on general graphs. We show that ISR is fixed-parameter tractable parameterized by k when the input graph is of bounded degeneracy or nowhere-dense. As a corollary, we answer positively an open question concerning the parameterized complexity of the problem on graphs of bounded treewidth. Moreover, our techniques generalize recent results showing that ISR is fixed-parameter tractable on planar graphs and graphs of bounded degree. For DSR, we show the problem fixed-parameter tractable parameterized by k when the input graph does not contain large bicliques, a class of graphs which includes graphs of bounded degeneracy and nowhere-dense graphs

    A reconfigurations analogue of Brooks’ theorem.

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    Let G be a simple undirected graph on n vertices with maximum degree Δ. Brooks’ Theorem states that G has a Δ-colouring unless G is a complete graph, or a cycle with an odd number of vertices. To recolour G is to obtain a new proper colouring by changing the colour of one vertex. We show that from a k-colouring, k > Δ, a Δ-colouring of G can be obtained by a sequence of O(n 2) recolourings using only the original k colours unless G is a complete graph or a cycle with an odd number of vertices, or k = Δ + 1, G is Δ-regular and, for each vertex v in G, no two neighbours of v are coloured alike. We use this result to study the reconfiguration graph R k (G) of the k-colourings of G. The vertex set of R k (G) is the set of all possible k-colourings of G and two colourings are adjacent if they differ on exactly one vertex. It is known that if k ≤ Δ(G), then R k (G) might not be connected and it is possible that its connected components have superpolynomial diameter, if k ≥ Δ(G) + 2, then R k (G) is connected and has diameter O(n 2). We complete this structural classification by settling the missing case: if k = Δ(G) + 1, then R k (G) consists of isolated vertices and at most one further component which has diameter O(n 2). We also describe completely the computational complexity classification of the problem of deciding whether two k-colourings of a graph G of maximum degree Δ belong to the same component of R k (G) by settling the case k = Δ(G) + 1. The problem is O(n 2) time solvable for k = 3, PSPACE-complete for 4 ≤ k ≤ Δ(G), O(n) time solvable for k = Δ(G) + 1, O(1) time solvable for k ≥ Δ(G) + 2 (the answer is always yes)

    Token Jumping in minor-closed classes

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    Given two kk-independent sets II and JJ of a graph GG, one can ask if it is possible to transform the one into the other in such a way that, at any step, we replace one vertex of the current independent set by another while keeping the property of being independent. Deciding this problem, known as the Token Jumping (TJ) reconfiguration problem, is PSPACE-complete even on planar graphs. Ito et al. proved in 2014 that the problem is FPT parameterized by kk if the input graph is K3,K_{3,\ell}-free. We prove that the result of Ito et al. can be extended to any K,K_{\ell,\ell}-free graphs. In other words, if GG is a K,K_{\ell,\ell}-free graph, then it is possible to decide in FPT-time if II can be transformed into JJ. As a by product, the TJ-reconfiguration problem is FPT in many well-known classes of graphs such as any minor-free class

    Reconfiguring Independent Sets in Claw-Free Graphs

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    We present a polynomial-time algorithm that, given two independent sets in a claw-free graph GG, decides whether one can be transformed into the other by a sequence of elementary steps. Each elementary step is to remove a vertex vv from the current independent set SS and to add a new vertex ww (not in SS) such that the result is again an independent set. We also consider the more restricted model where vv and ww have to be adjacent

    The complexity of dominating set reconfiguration

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    Suppose that we are given two dominating sets DsD_s and DtD_t of a graph GG whose cardinalities are at most a given threshold kk. Then, we are asked whether there exists a sequence of dominating sets of GG between DsD_s and DtD_t such that each dominating set in the sequence is of cardinality at most kk and can be obtained from the previous one by either adding or deleting exactly one vertex. This problem is known to be PSPACE-complete in general. In this paper, we study the complexity of this decision problem from the viewpoint of graph classes. We first prove that the problem remains PSPACE-complete even for planar graphs, bounded bandwidth graphs, split graphs, and bipartite graphs. We then give a general scheme to construct linear-time algorithms and show that the problem can be solved in linear time for cographs, trees, and interval graphs. Furthermore, for these tractable cases, we can obtain a desired sequence such that the number of additions and deletions is bounded by O(n)O(n), where nn is the number of vertices in the input graph

    How the minuscule can contribute to the big picture: the neutron electric dipole moment project at TRIUMF

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    A permanent electric dipole moment (EDM) of a fundamental particle violates both parity (P) and time (T) reversal symmetry and combined charge and parity (CP) reversal symmetry if the combined reversal of charge, parity \textit{and} time (CPT) is preserved. It is a very promising place to search for physics beyond the Standard Model. Ultracold neutrons (UCN) are the ideal tool to study the neutron electric dipole moment since they can be observed for hundreds of seconds. This article summarizes the current searches for the neutron EDM using UCN and introduces the project to measure the neutron electric dipole moment at TRIUMF using its unique accelerator driven spallation neutron and liquid helium UCN source. The aim is to reach a sensitivity for the neutron EDM of around 1027e10^{-27} \,e \cdotcm.Comment: 12 pages, 6 figures, MENU 2016 Conference, Kyoto, Japa

    Memory and chaos in an Ising spin glass

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    The non-equilibrium dynamics of the model 3d-Ising spin glass - Fe0.55_{0.55}Mn0.45_{0.45}TiO3_3 - has been investigated from the temperature and time dependence of the zero field cooled magnetization recorded under certain thermal protocols. The results manifest chaos, rejuvenation and memory features of the equilibrating spin configuration that are very similar to those observed in corresponding studies of the archetypal RKKY spin glass Ag(Mn). The sample is rapidly cooled in zero magnetic field, and the magnetization recorded on re-heating. When a stop at constant temperature TsT_s is made during the cooling, the system evolves toward its equilibrium state at this temperature. The equilibrated state established during the stop becomes frozen in on further cooling and is retrieved on re-heating. The memory of the aging at TsT_s is not affected by a second stop at a lower temperature TsT'_s. Reciprocally, the first equilibration at TsT_s has no influence on the relaxation at TsT'_s, as expected within the droplet model for domain growth in a chaotic landscape.Comment: REVTeX style; 4 pages, 4 figure
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