A Simplex graph is related to the concept of simplices in geometry and topology. In mathematical terms, a simplex is the generalization of the notion of a triangle or tetrahedron to arbitrary dimensions. For example: - A 0-simplex is a single point. - A 1-simplex is a line segment connecting two points. - A 2-simplex is a triangle, defined by three points. - A 3-simplex is a tetrahedron, defined by four points.
A series-parallel graph is a specific type of graph that can be constructed from a single edge by repeatedly applying two operations: series composition and parallel composition. These operations allow the building of more complex graphs while maintaining certain structural properties.
A **quotient graph** is a concept in graph theory that arises when you take a graph and partition its vertices into equivalence classes, then construct a new graph where each equivalence class is represented as a single vertex. ### Key Components of a Quotient Graph: 1. **Original Graph (G)**: Start with a graph G = (V, E), where V is the set of vertices and E is the set of edges.
In mathematics and graph theory, a Mycielski graph, or Mycielski construction, is a method for constructing new graphs from existing ones. The Mycielski construction is used primarily to create triangle-free graphs, which are graphs that do not contain any cycles of length three (triangles). The construction works as follows: 1. **Start with a graph \( G \)**: This can be any simple graph.
A **moral graph** is a concept used in the fields of graph theory and probabilistic graphical models, particularly in the context of Bayesian networks and Markov networks. The moral graph is derived from a directed acyclic graph (DAG) representing a Bayesian network. ### How to Construct a Moral Graph: 1. **Start with a Directed Graph:** Begin with a Bayesian network, which is typically represented as a directed acyclic graph (DAG).
A medial graph is a concept used in the field of computational geometry, particularly in the areas of shape analysis and mesh processing. It represents the intrinsic structure of a geometric shape or surface. In essence, the medial graph captures the topological and geometrical characteristics of the shape's skeleton or centerlines. It is achieved through various methods, which typically involve identifying points that are equidistant from the boundary of the shape.
A line graph is a type of chart used to display information that changes over time. It consists of a series of data points, called "markers," connected by straight line segments. Line graphs are particularly useful for showing trends, patterns, and relationships between two variables. ### Key Features of Line Graphs: 1. **Axes**: - The horizontal axis (x-axis) typically represents the independent variable (often time).
An **induced subgraph** is a concept from graph theory. Given a graph \( G = (V, E) \), where \( V \) is the set of vertices and \( E \) is the set of edges, an induced subgraph is formed by a subset of the vertices \( U \subseteq V \) along with all of the edges in \( E \) that have both endpoints in \( U \).
"Graph power" is not a standard term in mathematics or computer science, so it may refer to different concepts depending on the context. Here are some interpretations: 1. **Graph Theory**: In the context of graph theory, "power" can refer to the concept of a power of a graph, which is related to the construction of new graphs by connecting vertices based on paths of a certain length.
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.
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.

Pinned article: Introduction to the OurBigBook Project

Welcome to the OurBigBook Project! Our goal is to create the perfect publishing platform for STEM subjects, and get university-level students to write the best free STEM tutorials ever.
Everyone is welcome to create an account and play with the site: ourbigbook.com/go/register. We belive that students themselves can write amazing tutorials, but teachers are welcome too. You can write about anything you want, it doesn't have to be STEM or even educational. Silly test content is very welcome and you won't be penalized in any way. Just keep it legal!
We have two killer features:
  1. topics: topics group articles by different users with the same title, e.g. here is the topic for the "Fundamental Theorem of Calculus" ourbigbook.com/go/topic/fundamental-theorem-of-calculus
    Articles of different users are sorted by upvote within each article page. This feature is a bit like:
    • a Wikipedia where each user can have their own version of each article
    • a Q&A website like Stack Overflow, where multiple people can give their views on a given topic, and the best ones are sorted by upvote. Except you don't need to wait for someone to ask first, and any topic goes, no matter how narrow or broad
    This feature makes it possible for readers to find better explanations of any topic created by other writers. And it allows writers to create an explanation in a place that readers might actually find it.
    Figure 1.
    Screenshot of the "Derivative" topic page
    . View it live at: ourbigbook.com/go/topic/derivative
  2. local editing: you can store all your personal knowledge base content locally in a plaintext markup format that can be edited locally and published either:
    This way you can be sure that even if OurBigBook.com were to go down one day (which we have no plans to do as it is quite cheap to host!), your content will still be perfectly readable as a static site.
    Figure 5. . You can also edit articles on the Web editor without installing anything locally.
    Video 3.
    Edit locally and publish demo
    . Source. This shows editing OurBigBook Markup and publishing it using the Visual Studio Code extension.
  3. https://raw.githubusercontent.com/ourbigbook/ourbigbook-media/master/feature/x/hilbert-space-arrow.png
  4. Infinitely deep tables of contents:
    Figure 6.
    Dynamic article tree with infinitely deep table of contents
    .
    Descendant pages can also show up as toplevel e.g.: ourbigbook.com/cirosantilli/chordate-subclade
All our software is open source and hosted at: github.com/ourbigbook/ourbigbook
Further documentation can be found at: docs.ourbigbook.com
Feel free to reach our to us for any help or suggestions: docs.ourbigbook.com/#contact