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Discrete Mathematics - Graph Theory Basics

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Graph

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A graph is an ordered pair G=(V,E)G = (V, E) comprising a set VV of vertices or nodes together with a set EE of edges or arcs, which are 2-element subsets of VV.

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Subgraph

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A subgraph is a graph S=(V,E)S = (V', E') where VVV' \subseteq V, EEE' \subseteq E, and every edge in EE' connects two vertices in VV'.

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Adjacency List

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An adjacency list is a collection of unordered lists used to represent a finite graph. Each list describes the set of neighbors of a vertex in the graph.

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Weighted Graph

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A weighted graph is a graph in which each edge is assigned a weight or cost, which is often used to represent the cost of traveling between the vertices connected by the edge.

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Bipartite Graph

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A bipartite graph is a graph whose vertices can be divided into two disjoint and independent sets UU and VV such that every edge connects a vertex in UU to one in VV.

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Planar Graph

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A planar graph is a graph that can be drawn on a plane without any edges crossing each other.

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Hamiltonian Path

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A Hamiltonian path is a path in an undirected or directed graph that visits each vertex exactly once.

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Tree

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A tree is an undirected graph in which any two vertices are connected by exactly one path. In other words, a connected graph without cycles.

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Cycle

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A cycle in a graph is a path that starts and ends at the same vertex and includes at least one other vertex, with no vertices repeated.

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Complete Graph

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A complete graph is a simple graph in which every pair of distinct vertices is connected by a unique edge.

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Chromatic Number

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The chromatic number of a graph is the smallest number of colors needed to color the vertices of a graph so that no two adjacent vertices share the same color.

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Directed Graph (Digraph)

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A directed graph or digraph is a graph in which the edges have a direction, indicated by an arrowhead, and the edges are called arcs.

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Connected graph

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A graph is connected if there is a path between every pair of vertices.

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Forest

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A forest is a disjoint union of trees, or equivalently, an undirected graph without cycles.

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Vertex Cover

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A vertex cover of a graph is a set of vertices that includes at least one endpoint of every edge of the graph. The size of the smallest possible vertex cover is called the vertex cover number.

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Euler's Formula

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Euler's formula states that for a connected planar graph with VV vertices, EE edges, and FF faces (including the outer one), the formula VE+F=2V - E + F = 2 holds.

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Adjacency Matrix

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An adjacency matrix is a square matrix used to represent a finite graph where each element of the matrix indicates whether pairs of vertices are adjacent or not in the graph.

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Path

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A path in a graph is a finite or infinite sequence of edges which connect a sequence of vertices which, by most definitions, are all distinct from one another.

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Simple Graph

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A simple graph is a graph that does not contain any loops or multiple edges. The edges in a simple graph are implied to be undirected.

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Incidence Matrix

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An incidence matrix is a matrix that shows the relationship between edges and vertices in a graph where rows represent vertices and columns represent edges, indicating which vertex is incident to which edge.

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Eulerian Path

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An Eulerian path is a path in a graph which visits every edge exactly once.

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Degree of a vertex

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The degree of a vertex in a graph is the number of edges that are incident to the vertex, with loops counted twice.

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Hamiltonian Cycle

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A Hamiltonian cycle is a cycle in an undirected or directed graph that visits each vertex exactly once and returns to the starting vertex.

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Eulerian Cycle

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An Eulerian cycle is a cycle in a graph that visits every edge exactly once and returns to the starting vertex.

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Handshaking Lemma

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The Handshaking lemma is a theorem in graph theory that states that, in any undirected graph, the sum of the degrees of all vertices is equal to twice the number of edges.

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