Graph Theory

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Last updated 12:21 AM on 3/23/26
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42 Terms

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Graph is

Graph G = (V, E), where:

  • V - set of vertices

  • E - set of directed edges

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Simple directed graph

graph without self-loops and parallel directed edges

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Simple undirected graph

A graph G = (V, B) where B is a subset of V² is called simple undirected graph.

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Order of graph

The order of graph G = (V, B) is the number |V| = n.

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Empty graph

The graph G = (V, 0) is called empty graph and is denoted as On

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Null graph

The graph G = (0, 0) is null graph.

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Trivial graph

The graph G = ({v}, 0) is trivial graph.

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Complete graph

A graph with all n * (n - 1) / 2 edges, where n is order of graph, is Complete graph and denoted as Kn

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Neighborhood of vertix

For a graph G = (V, B) the neighborhood of vertex v in V is the set of all adjacent vertices:

<p>For a graph G = (V, B) the neighborhood of vertex v in V is the set of all adjacent vertices:</p>
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Degree of vertex

The degree of vertex v is the number p(v) = |Г(v)|

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Isolated vertex

A vertex v is called isolated if p(v) = 0.

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Pendant vertex

The vertex v is called pendant if p(v) = 1.

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Regular graph

A graph is called regular if all its vertices have the same degree

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Adjacent vertices

Two vertices u and v in a graph G = (V, B) are called adjacent if there exists an edge {u, v} in B connecting them

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Adjacent edge

Two edges in graph G = (V, B) are called adjacent if they share a common vertix.

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Incident vertex and edge

A vertex v and an edge e are called incident if v is one of the endpoints of e.

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Adjacency matrix

The adjacency matrix of graph G = (V, E) with n = |V| is an n*n matrix where:

<p>The adjacency matrix of graph G = (V, E) with n = |V| is an n*n matrix where:</p>
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Incident matrix

The incident matrix of graph G = (V, E) with n = |V| and m = |E| is an n*m matrix where:

<p>The incident matrix of graph G = (V, E) with n = |V| and m = |E| is an n*m matrix where:</p>
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Union of two graphs

<p></p>
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Intersection of two graphs

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The complement of a graph

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The difference of two graphs

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The cyclic sum of two graphs

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Subgraph

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Walk

A walk on the graph is a sequence of vertices and edges in a graph G = (V, E), where each edge connects the preceding and following vertices.

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A chain

A chain (or trail) is a walk on a graph where no edges are repeated.

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Open walk

Walk is open, if first and last vertices are different.

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Closed walk

If walk start and ends with the same vertex, it called a close walk

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Path

Path is a open walk in the graph where no edges and no vertices are repeated.

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Cycle

A cycle is a closed walk in the graph where no edges are repeating and where only the initial and the terminal vertices are the same

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Connected graph

A graph is called connected if any two vertices can be connected by a path.

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Connected component

Connected component is the maximal connected subgraph of G = (V, B).

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Length of path

Length of a path is defined as a number of edges in the path.

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Vertex deletion operation

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Edge deletion operation

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Cut vertex

A vertex v in V of graph G = (V, E) is called a cut vector (articulation point) if the graph G - v has more connected components than G

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Non-separable graph

A graph without cut vertices is called non-separable graph

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Separable graph

Graph is called separable if it has a cut vertex

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Block

A block of a graph G is a maximal connected non-separable graph of G.

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Bridge

An edge of a graph is called bridge (cut edge) if removing it increases the number of connected components of the graph.

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Separating set

A subset S sub B of the edge set of a connected graph G = (V, B) is called a separating set if the graph ((V, B \ S) is disconnected.

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A cut

A cut (or minimal separating set) is a separating set from which no edge can be removed without making it connected again. Thus: K sub B a cut if:

  • K is separating set

  • For any P sub K with P ≠ K: P is not separating set.

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