Topological graph theory is a branch of mathematics that studies the interplay between graph theory and topology. It focuses primarily on the properties of graphs that are invariant under continuous transformations, such as stretching or bending, but not tearing or gluing. The key aspects of topological graph theory include: 1. **Graph Embeddings**: Understanding how a graph can be drawn in various surfaces (like a plane, sphere, or torus) without edges crossing.
A **planar graph** is a graph that can be drawn on a plane without any edges crossing each other. In other words, it's possible to lay out the graph in such a way that no two edges intersect except at their endpoints (the vertices). Key characteristics of planar graphs include: 1. **Planar Representation**: If a graph is planar, it can be represented in two dimensions such that its edges only intersect at their vertices.
Book embeddings, sometimes referred to in the context of natural language processing (NLP) and machine learning, typically involve representing entire books or long-form texts as dense vectors in a high-dimensional space. This process allows complex and nuanced texts to be mathematically manipulated, making it easier to analyze, compare, and retrieve information.
The term "Chessboard complex" could refer to multiple concepts depending on the context. Without more specific information, it's hard to determine exactly which "Chessboard complex" you are asking about. 1. **Mathematical Concepts**: In mathematics, particularly in combinatorial geometry, the chessboard complex can refer to a configuration or something related to chessboards, like the arrangement of pieces or combinatorial properties.
The crossing number of a graph is a classic concept in graph theory that refers to the minimum number of edge crossings in a drawing of the graph in the plane. When a graph is drawn on a two-dimensional surface (like a piece of paper), edges can sometimes cross over each other. The goal is to find a layout of the graph that minimizes these crossings. Here's a more detailed explanation: 1. **Graph**: A graph consists of vertices (or nodes) connected by edges (or links).
The crossing number inequality is a concept from graph theory that relates to the crossing number of a graph, which is a measure of how many edges of the graph cross each other when the graph is drawn in the plane. The crossing number, denoted as \( cr(G) \), of a graph \( G \) is defined as the minimum number of crossings that occur in any drawing of the graph in the plane.
A **cycle double cover** of a graph is a particular type of subgraph that consists of a collection of cycles in which each edge of the original graph is included in exactly two of these cycles. More formally, for a given graph \( G \), a cycle double cover is a set of cycles such that every edge in \( G \) is covered exactly twice by the cycles in the set.
"Dessin d'enfant" is a French term that translates to "children's drawing." In the context of art, it often refers to the style and characteristics of drawings made by children. These drawings are typically marked by their simplicity, spontaneity, and unique perspective. They reflect a child's imagination, interpretation of the world, and emotional expression without the constraints that often accompany adult artistic conventions.
A Graph-encoded map is a representation of spatial information using graph theory concepts. In this context, a graph consists of nodes (or vertices) and edges (or connections) that connect these nodes. Graph-encoded maps are often used in various fields, such as computer science, transportation, geography, and robotics, to model and analyze complex relationships and pathways in spatial environments.
A **graph manifold** is a class of 3-dimensional manifolds characterized by their geometric structure, specifically how they can be decomposed into pieces that look like typical geometric shapes (in this case, they resemble a torus and other types of three-manifolds).
The left-right planarity test is a method used in graph drawing and computational geometry to determine whether a given graph can be drawn in a plane without edge crossings, specifically in a way that respects a certain left-right ordering of the vertices. In the context of embedded planar graphs, the left-right planarity test deals with directed graphs (digraphs) and attempts to find a planar embedding of the graph such that: 1. Each vertex is placed on a horizontal line.
The Petrie dual is a concept in the field of geometry and topology, particularly in the study of polyhedra and regular polytopes. It is a specific type of duality that applies to certain polyhedra. In essence, each polyhedron can be associated with a dual polyhedron where the vertices, edges, and faces are transformed in a systematic way.
A "queue number" generally refers to a numerical value assigned to a person or item in a queue (or line), indicating their position relative to others waiting for service, access, or processing. This concept is commonly used in various settings, including: 1. **Customer Service**: In banks, restaurants, and service centers, customers receive queue numbers to organize the order in which they will be served.
A ribbon graph is a mathematical structure used primarily in the field of topology and combinatorial structures. It is a kind of graph where edges are represented as ribbons, which have a specified width. Ribbon graphs can be thought of as a generalization of planar graphs and provide a way to encode information about embeddings of graphs in surfaces.
The term "rotation system" can refer to several concepts depending on the context in which it is used. Here are a few possibilities: 1. **Mathematics and Physics**: In mathematics, particularly in geometry and physics, a rotation system can refer to a mathematical construct that describes how objects rotate around a point in space. For example, in the context of rigid body dynamics, it often involves the use of rotation matrices or quaternion representations.
A sequence covering map is a mathematical concept often found in the field of topology and algebraic topology. It is related to the study of covering spaces and can be understood in the context of sequences of spaces or topological maps.
A **string graph** is a type of intersection graph that can be constructed from a collection of continuous curves (strings) in a two-dimensional space. More formally, a string graph is defined as the graph whose vertices correspond to these curves, and there is an edge between two vertices if and only if the corresponding curves intersect at some point in the plane.
The Three Utilities Problem is a classic problem in graph theory and combinatorial optimization. It involves connecting three houses to three utility services (like water, electricity, and gas) without any of the utility lines crossing each other. In more formal terms, the problem can be visualized as a bipartite graph where one set contains the three houses and the other set contains the three utilities.
A topological graph is a mathematical structure that combines concepts from topology and graph theory. In a topological graph, the vertices are points in a topological space, and the edges are curves that connect these vertices. The edges are typically drawn in such a way that they do not intersect each other except at their endpoints (which are the vertices).
A toroidal graph is a type of graph that can be embedded on the surface of a torus without any edges crossing. In other words, it can be drawn on the surface of a doughnut-shaped surface (a torus) in such a way that no two edges intersect except at their endpoints.
Turán's brick factory problem is a classic problem in combinatorial optimization, particularly in the field of graph theory. It is named after the Hungarian mathematician Paul Erdős and his colleague László Turán, who studied problems involving extremal graph theory. The problem can be described as follows: Imagine a brick factory that produces bricks of various colors.
The Wilson operation, also known as the Wilson loop, is a concept from quantum field theory, particularly in the context of gauge theories. It is named after Kenneth Wilson, who introduced it in the early 1970s as part of his work on lattice gauge theories and the study of confinement in quantum chromodynamics (QCD). In simple terms, the Wilson loop is a gauge-invariant quantity associated with the path of a loop in spacetime.
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