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Graph power

In graph theory, a branch of mathematics, the kth power G^k of an undirected graph G is another graph that has the same set of vertices, but in which two vertices are adjacent when their distance in G is at most k. Powers of graphs are referred to using terminology similar to that of exponentiation of numbers: G^2 is called the square of G, G^3 is called the cube of G, etc. Graph powers should be distinguished from the products of a graph with itself, which (unlike powers) generally have many more vertices than the original graph. If a graph has diameter d, then its d-th power is the complete graph. If a graph family has bounded clique-width, then so do its d-th powers for any fixed d. Graph coloring on the square of a graph may be used to assign frequencies to the participants of wireless communication networks so that no two participants interfere with each other at any of their common neighbors, and to find graph drawings with high angular resolution. Both the chromatic number and the degeneracy of the kth power of a planar graph of maximum degree Δ are O(Δ^⌊k/2⌋), where the degeneracy bound shows that a greedy coloring algorithm may be used to color the graph with this many colors. For the special case of a square of a planar graph, Wegner conjectured in 1977 that the chromatic number of the square of a planar graph is at most max(Δ + 5, 3Δ/2 + 1), and it is known that the chromatic number is at most 5Δ/3 + O(1). More generally, for any graph with degeneracy d and maximum degree Δ, the degeneracy of the square of the graph is O(dΔ), so many types of sparse graph other than the planar graphs also have squares whose chromatic number is proportional to Δ. Although the chromatic number of the square of a nonplanar graph with maximum degree Δ may be proportional to Δ2 in the worst case, it is smaller for graphs of high girth, being bounded by O(Δ2 / log Δ) in this case. Determining the minimum number of colors needed to color the square of a graph is NP-hard, even in the planar case.

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Pancyclic graph
In the mathematical study of graph theory, a pancyclic graph is a directed graph or undirected graph that contains cycles of all possible lengths from three up to the number of vertices in the graph. Pancyclic graphs are a generalization of Hamiltonian graphs, graphs which have a cycle of the maximum possible length. An n-vertex graph G is pancyclic if, for every in the range contains a cycle of length . It is node-pancyclic or vertex-pancyclic if, for every vertex v and every k in the same range, it contains a cycle of length k that contains v.
Hypercube graph
In graph theory, the hypercube graph Q_n is the graph formed from the vertices and edges of an n-dimensional hypercube. For instance, the cube graph Q_3 is the graph formed by the 8 vertices and 12 edges of a three-dimensional cube. Q_n has 2^n vertices, 2^n – 1n edges, and is a regular graph with n edges touching each vertex. The hypercube graph Q_n may also be constructed by creating a vertex for each subset of an n-element set, with two vertices adjacent when their subsets differ in a single element, or by creating a vertex for each n-digit binary number, with two vertices adjacent when their binary representations differ in a single digit.
Hamiltonian path
In the mathematical field of graph theory, a Hamiltonian path (or traceable path) is a path in an undirected or directed graph that visits each vertex exactly once. A Hamiltonian cycle (or Hamiltonian circuit) is a cycle that visits each vertex exactly once. A Hamiltonian path that starts and ends at adjacent vertices can be completed by adding one more edge to form a Hamiltonian cycle, and removing any edge from a Hamiltonian cycle produces a Hamiltonian path.
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