Treewidth is a term used in graph theory, which refers to the smallest number of vertices that can be removed from a graph to make it into a forest (a disjoint set of trees). The word is spelled using IPA (International Phonetic Alphabet) as [ˈtriːwɪdθ]. The first syllable is pronounced as "tree" with a long "i" sound, followed by "wid" with a short "i" sound, and ending with "th" which is pronounced as a voiceless dental fricative. This spelling reflects the combination of the words "tree" and "width", describing the underlying concept of the term.
Treewidth is a concept in graph theory that measures how "tree-like" a graph is. It provides an important measure of the complexity and structure of a graph.
The treewidth of a graph is defined as the minimum width of a tree decomposition of the graph. A tree decomposition is a way of representing a graph by decomposing it into a set of smaller, interconnected subgraphs called bags. These bags are typically represented as nodes of a tree, where each bag contains a subset of vertices from the original graph.
The width of a tree decomposition is defined as the maximum size (number of vertices) of any bag minus one. The treewidth of a graph is then the minimum width over all possible tree decompositions. In other words, it is the minimum way in which the graph can be decomposed into tree-like structures.
Treewidth is a valuable concept in graph theory and has wide applications in various fields, such as computer science, genetics, and social network analysis. It is often used as a parameter that determines the computational complexity of solving various graph problems. Lower treewidth graphs have simpler structures and are easier to handle computationally, while higher treewidth graphs are more complex and computationally challenging.
In summary, treewidth measures how closely a graph resembles a tree structure and provides insights into the complexity and solvability of various graph problems.
The word "treewidth" is derived from the combination of two words: "tree" and "width".
The term "tree" refers to a specific type of graph, known as a tree graph. In graph theory, a tree is a connected acyclic graph, which means that it doesn't contain any cycles (loops) and all of its vertices are connected.
The term "width" refers to a measure of how "wide" or "narrow" a graph is. In the context of treewidth, it specifically refers to the concept of tree decompositions, which are used to represent a graph as a tree-like structure. The width of a tree decomposition represents the "narrowest" part of the graph that provides an accurate representation of the entire graph.
Therefore, "treewidth" can be understood as a measure of how closely a graph resembles a tree in terms of its structural properties.