The Goldberg–Coxeter construction is a method used in geometry, particularly in the study of polyhedra and polyhedral structures. It provides a systematic way to generate a class of convex polyhedra, particularly those that can be described as geometric realizations of certain types of combinatorial structures known as "spherical polyhedra.
Edge contraction is a fundamental operation in graph theory that involves modifying a given graph by merging two adjacent vertices into a single vertex. This operation is often used in various algorithms and theoretical contexts, such as simplifying graphs, network flow problems, and studying graph properties. Here's how edge contraction works: 1. **Consider an edge** \(e\) between two vertices \(u\) and \(v\) in a graph \(G\).
The disjoint union of graphs is a concept in graph theory that combines two or more graphs into a new graph in such a way that the original graphs do not share any vertices or edges. Here's how it works: 1. **Graphs Involved**: Suppose you have two or more graphs \( G_1, G_2, \ldots, G_n \).
In graph theory, the complement of a graph is a graph that contains the same set of vertices but has edges that are not present in the original graph.
Cograph
A **cograph** is a type of graph that can be defined as a graph without any induced subgraphs that are isomorphic to a path of four vertices (also known as a **P4**). In simpler terms, cographs can be constructed using two operations: the **disjoint union** and the **join** (or clique-sum) of two graphs.
A **clique graph** is a concept in graph theory that pertains to representing cliques within a given graph. A **clique** in a graph is a subset of its vertices such that every two distinct vertices in the subset are adjacent, meaning there is an edge connecting each pair of vertices. In simpler terms, a clique is a complete subgraph.
"Bipartite half" might refer to concepts within graph theory, particularly regarding bipartite graphs. A **bipartite graph** is a type of graph where the set of vertices can be divided into two distinct sets such that no two graph vertices within the same set are adjacent.
A **bipartite double cover** of a graph is a specific type of covering graph that is particularly relevant in the context of bipartite graphs. To elaborate, consider the following concepts: 1. **Bipartite Graphs**: A bipartite graph is a graph that can be divided into two disjoint sets of vertices \( U \) and \( V \) such that every edge connects a vertex in \( U \) to a vertex in \( V \).
Graph products are operations that combine two or more graphs to create a new graph, and these products can capture different structural relationships between the original graphs. There are several types of graph products, each with its own definition and properties.
"Shallow minor" is not a standard term widely recognized in music theory or other disciplines. However, the phrase could be interpreted in a few ways depending on the context in which it's used: 1. **Musical Context**: If we're discussing music, it might refer to a minor key (like A minor, B minor, etc.) that feels less intense or lacks depth, possibly due to its simplicity in composition or harmony.
A planar cover in the context of graph theory refers to a specific kind of covering or representation of a graph in a planar manner. Here are two common interpretations of "planar cover": 1. **Planar Graph**: If you have a graph that is planar, it means that it can be drawn on a plane without any edges crossing. A planar cover of a graph may refer to a way of embedding or representing the graph in the plane such that it maintains its properties without crossings.
The term "Petersen family" can refer to different contexts depending on the specific area of interest. Here are a few possibilities: 1. **Cultural or Historical Context**: The Petersen family could refer to a family of historical or cultural significance in a specific region or country. 2. **Literary or Film Reference**: There might be fictional works, books, or movies that feature a "Petersen family" as characters.
A Partial k-tree is a data structure used primarily in the field of combinatorial optimization and computer science, particularly in topics related to the representation of combinatorial objects or configurations, such as combinations, subsets, or sequences. In general, a k-tree is a tree structure that represents all possible configurations of k elements chosen from a larger set, and it can be used for various applications, including generating combinations or permutations.
The Kelmans–Seymour conjecture is a conjecture in graph theory that relates to the structure of certain types of graphs. Specifically, it deals with the behavior of complete graphs and the existence of specific subgraphs within them. Formulated by Paul Kelmans and Neil Seymour, the conjecture states that every 2-edge-connected graph can be represented as a graph obtained from a complete graph by the contraction of edges.
K-tree
A K-tree (or K-ary tree) is a type of tree data structure in which each node can have at most K children. This means that each node can link to K different nodes or child nodes, making it suitable for various applications where a more extensive branching factor is desirable compared to binary trees (which have a maximum of two children per node).
Halin's Grid Theorem is a result in graph theory that describes the structure of certain infinite graphs. Specifically, it focuses on a type of infinite graph known as a "grid" graph, which is a graph that resembles a two-dimensional grid or lattice. Halin's theorem provides conditions under which such infinite grid graphs can be embedded into three-dimensional space without crossings.
The concept of a graph minor is a fundamental notion in graph theory, particularly in the study of graph structure and graph algorithms. A graph \( H \) is said to be a **minor** of another graph \( G \) if \( H \) can be formed from \( G \) by performing a series of operations that includes: 1. **Edge Deletion**: Removing edges from the graph. 2. **Vertex Deletion**: Removing vertices and incident edges from the graph.
Clique-sum
The **clique-sum** is a graph operation used primarily in graph theory, particularly in the study of graph properties and constructions. This operation allows you to combine two graphs in a way that preserves some of their characteristics while introducing new structure. Here’s how the clique-sum operates: 1. **Graphs Involved**: You start with two graphs, say \(G_1\) and \(G_2\).
In graph theory, a **bramble** is a concept used to describe a certain type of structure in a graph related to covering and dominating sets. Specifically, a bramble is a collection of subsets of vertices that captures the idea of a "tangled" set of vertices that cannot be separated from each other without removing some edges from the graph.