Word-representable Graph
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Word-representable Graph
In the mathematical field of graph theory, a word-representable graph is a graph (discrete mathematics), graph that can be characterized by a word (or sequence) whose entries alternate in a prescribed way. In particular, if the vertex set of the graph is ''V'', one should be able to choose a word ''w'' over the alphabet ''V'' such that letters ''a'' and ''b'' alternate in ''w'' if and only if the pair ''ab'' is an edge in the graph. (Letters ''a'' and ''b'' alternate in ''w'' if, after removing from ''w'' all letters but the copies of ''a'' and ''b'', one obtains a word ''abab''... or a word ''baba''....) For example, the cycle graph labeled by ''a'', ''b'', ''c'' and ''d'' in clock-wise direction is word-representable because it can be represented by ''abdacdbc'': the pairs ''ab'', ''bc'', ''cd'' and ''ad'' alternate, but the pairs ''ac'' and ''bd'' do not. The word ''w'' is ''G'''s ''word-representant'', and one says that that ''w'' ''represents'' ''G''. The smallest (by the num ...
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Complete Graph
In the mathematical field of graph theory, a complete graph is a simple undirected graph in which every pair of distinct vertices is connected by a unique edge. A complete digraph is a directed graph in which every pair of distinct vertices is connected by a pair of unique edges (one in each direction). Graph theory itself is typically dated as beginning with Leonhard Euler's 1736 work on the Seven Bridges of Königsberg. However, drawings of complete graphs, with their vertices placed on the points of a regular polygon, had already appeared in the 13th century, in the work of Ramon Llull. Such a drawing is sometimes referred to as a mystic rose. Properties The complete graph on vertices is denoted by . Some sources claim that the letter in this notation stands for the German word , but the German name for a complete graph, , does not contain the letter , and other sources state that the notation honors the contributions of Kazimierz Kuratowski to graph theory. has edg ...
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1307
Year 1307 ( MCCCVII) was a common year starting on Sunday of the Julian calendar. Events January – March * January 13 – (11th waxing of Tabodwe 668 ME, Burmese calendar) After a reign of almost 20 years, King Wareru, who founded the Martaban Kingdom in what is now southern Myanmar, is stabbed to death by two of his grandsons, Shin Gyi and Shin Nge, who were avenging the execution by Wareru (in 1296 of their father, Tarabya of Pegu. Hkun Law, younger brother of Wareru, becomes the new King of Martaban. * January 18 – The Tokuji era begins in Japan in the fourth year of Kagen. * February 9 – Battle of Loch Ryan: Thomas de Brus and Alexander de Brus sail with an invasion force of 1,000 men and 18 galleys, into the harbor at Loch Ryan. But they are defeated by rival Scots under Dungal MacDouall. During the attack, only two galleys escape and all the leaders are captured. * February 10 – Temür Khan (or Chengzong), the sixth Great Khan of the Mong ...
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Wheel Graph
In graph theory, a wheel graph is a graph formed by connecting a single universal vertex to all vertices of a cycle. A wheel graph with vertices can also be defined as the 1-skeleton of an pyramid. Some authors write to denote a wheel graph with vertices (); other authors instead use to denote a wheel graph with vertices (), which is formed by connecting a single vertex to all vertices of a cycle of length . The former notation is used in the rest of this article and in the table on the right. Edge Set would be the edge set of a wheel graph with vertex set in which the vertex 1 is a universal vertex. Properties Wheel graphs are planar graphs, and have a unique planar embedding. More specifically, every wheel graph is a Halin graph. They are self-dual: the planar dual of any wheel graph is an isomorphic graph. Every maximal planar graph, other than ''K''4 = ''W''4, contains as a subgraph either ''W''5 or ''W''6. There is always a Hamiltonian cycle in the wheel graph ...
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NP-completeness
In computational complexity theory, NP-complete problems are the hardest of the problems to which ''solutions'' can be verified ''quickly''. Somewhat more precisely, a problem is NP-complete when: # It is a decision problem, meaning that for any input to the problem, the output is either "yes" or "no". # When the answer is "yes", this can be demonstrated through the existence of a short (polynomial length) ''solution''. # The correctness of each solution can be verified quickly (namely, in polynomial time) and a brute-force search algorithm can find a solution by trying all possible solutions. # The problem can be used to simulate every other problem for which we can verify quickly that a solution is correct. Hence, if we could find solutions of some NP-complete problem quickly, we could quickly find the solutions of every other problem to which a given solution can be easily verified. The name "NP-complete" is short for "nondeterministic polynomial-time complete". In this name, ...
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NP (complexity)
In computational complexity theory, NP (nondeterministic polynomial time) is a complexity class used to classify decision problems. NP is the Set (mathematics), set of decision problems for which the Computational complexity theory#Problem instances, problem instances, where the answer is "yes", have mathematical proof, proofs verifiable in polynomial time by a deterministic Turing machine, or alternatively the set of problems that can be solved in polynomial time by a nondeterministic Turing machine.''Polynomial time'' refers to how quickly the number of operations needed by an algorithm, relative to the size of the problem, grows. It is therefore a measure of efficiency of an algorithm. * NP is the set of decision problems ''solvable'' in polynomial time by a nondeterministic Turing machine. * NP is the set of decision problems ''verifiable'' in polynomial time by a deterministic Turing machine. The first definition is the basis for the abbreviation NP; "Nondeterministic alg ...
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Clique Problem
In computer science, the clique problem is the computational problem of finding cliques (subsets of vertices, all adjacent to each other, also called complete subgraphs) in a graph. It has several different formulations depending on which cliques, and what information about the cliques, should be found. Common formulations of the clique problem include finding a maximum clique (a clique with the largest possible number of vertices), finding a maximum weight clique in a weighted graph, listing all maximal cliques (cliques that cannot be enlarged), and solving the decision problem of testing whether a graph contains a clique larger than a given size. The clique problem arises in the following real-world setting. Consider a social network, where the graph's vertices represent people, and the graph's edges represent mutual acquaintance. Then a clique represents a subset of people who all know each other, and algorithms for finding cliques can be used to discover these groups ...
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Neighbourhood (graph Theory)
In graph theory, an adjacent vertex of a vertex (graph theory), vertex in a Graph (discrete mathematics), graph is a vertex that is connected to by an edge (graph theory), edge. The neighbourhood of a vertex in a graph is the subgraph of induced subgraph, induced by all vertices adjacent to , i.e., the graph composed of the vertices adjacent to and all edges connecting vertices adjacent to . The neighbourhood is often denoted or (when the graph is unambiguous) . The same neighbourhood notation may also be used to refer to sets of adjacent vertices rather than the corresponding induced subgraphs. The neighbourhood described above does not include itself, and is more specifically the open neighbourhood of ; it is also possible to define a neighbourhood in which itself is included, called the closed neighbourhood and denoted by . When stated without any qualification, a neighbourhood is assumed to be open. Neighbourhoods may be used to represent graphs in computer algori ...
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Permutation
In mathematics, a permutation of a set can mean one of two different things: * an arrangement of its members in a sequence or linear order, or * the act or process of changing the linear order of an ordered set. An example of the first meaning is the six permutations (orderings) of the set : written as tuples, they are (1, 2, 3), (1, 3, 2), (2, 1, 3), (2, 3, 1), (3, 1, 2), and (3, 2, 1). Anagrams of a word whose letters are all different are also permutations: the letters are already ordered in the original word, and the anagram reorders them. The study of permutations of finite sets is an important topic in combinatorics and group theory. Permutations are used in almost every branch of mathematics and in many other fields of science. In computer science, they are used for analyzing sorting algorithms; in quantum physics, for describing states of particles; and in biology, for describing RNA sequences. The number of permutations of distinct objects is  factorial, us ...
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Graph Minor
In graph theory, an undirected graph is called a minor of the graph if can be formed from by deleting edges, vertices and by contracting edges. The theory of graph minors began with Wagner's theorem that a graph is planar if and only if its minors include neither the complete graph nor the complete bipartite graph ., p. 77; . The Robertson–Seymour theorem implies that an analogous forbidden minor characterization exists for every property of graphs that is preserved by deletions and edge contractions., theorem 4, p. 78; . For every fixed graph , it is possible to test whether is a minor of an input graph in polynomial time; together with the forbidden minor characterization this implies that every graph property preserved by deletions and contractions may be recognized in polynomial time. Other results and conjectures involving graph minors include the graph structure theorem, according to which the graphs that do not have as a minor may be formed by ...
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Homeomorphism (graph Theory)
In graph theory, two graph (discrete mathematics), graphs G and G' are homeomorphic if there is a graph isomorphism from some #Subdivision_and_smoothing, subdivision of G to some subdivision of G'. If the edges of a graph are thought of as lines drawn from one vertex (graph theory), vertex to another (as they are usually depicted in diagrams), then two graphs are homeomorphic to each other in the graph-theoretic sense precisely if their diagrams are homeomorphism, homeomorphic in the topology, topological sense. Subdivision and smoothing In general, a subdivision of a graph ''G'' (sometimes known as an expansion) is a graph resulting from the subdivision of edges in ''G''. The subdivision of some edge ''e'' with endpoints yields a graph containing one new vertex ''w'', and with an edge set replacing ''e'' by two new edges, and . For directed edges, this operation shall preserve their propagating direction. For example, the edge ''e'', with endpoints : can be subdivided int ...
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Petersen Graph
In the mathematical field of graph theory, the Petersen graph is an undirected graph with 10 vertices and 15 edges. It is a small graph that serves as a useful example and counterexample for many problems in graph theory. The Petersen graph is named after Julius Petersen, who in 1898 constructed it to be the smallest bridgeless cubic graph with no three- edge-coloring. Although the graph is generally credited to Petersen, it had in fact first appeared 12 years earlier, in a paper by . Kempe observed that its vertices can represent the ten lines of the Desargues configuration, and its edges represent pairs of lines that do not meet at one of the ten points of the configuration. Donald Knuth states that the Petersen graph is "a remarkable configuration that serves as a counterexample to many optimistic predictions about what might be true for graphs in general." The Petersen graph also makes an appearance in tropical geometry. The cone over the Petersen graph is naturally ...
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