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[[Image:Complete_graph_K7.svg|Complete graph K7|thumb]] '''Complete graph''' is a fundamental concept in [[graph theory]], a branch of [[mathematics]] that studies the properties of graphs, which are mathematical structures used to model pairwise relations between objects. A complete graph is a simple, undirected graph in which every pair of distinct vertices is connected by a unique [[edge]]. This means that in a complete graph, every vertex is directly connected to every other vertex, making it a maximally connected graph. The complete graph with \(n\) vertices is denoted as \(K_n\), where \(n\) is a non-negative integer representing the number of vertices in the graph.

==Definition==
A graph \(G = (V, E)\) is defined by two sets: \(V\), the set of vertices, and \(E\), the set of edges. In a complete graph \(K_n\), the set \(V\) contains \(n\) vertices, and the set \(E\) contains every possible edge between these vertices. The number of edges in a complete graph can be calculated using the formula \(\frac{n(n-1)}{2}\), where \(n\) is the number of vertices. This formula arises from the fact that each vertex can connect to \(n-1\) other vertices, but this count includes each edge twice (once for each endpoint), hence the division by 2.

==Properties==
Complete graphs have several interesting properties:
* They are [[regular graph|regular]], meaning every vertex has the same number of neighbors; in this case, \(n-1\).
* The [[graph diameter]] of a complete graph is 1, as any two vertices are directly connected.
* Complete graphs are [[Hamiltonian graph|Hamiltonian]], which means there exists a closed loop through the graph that visits each vertex exactly once.
* They are also [[Eulerian graph|Eulerian]], meaning there exists a closed path that uses each edge exactly once, but this is only true for even \(n\), where \(n > 2\).

==Special Cases==
* \(K_1\) is a trivial graph consisting of a single vertex and no edges.
* \(K_2\) consists of two vertices connected by a single edge.
* \(K_3\), also known as a triangle, is the simplest polygonal graph.
* \(K_4\) forms a tetrahedron when visualized in three dimensions, making it the simplest 3-dimensional polytope.

==Applications==
Complete graphs play a crucial role in various areas of mathematics and computer science, including:
* [[Algorithm]] design, particularly in problems related to [[network design]], [[routing]], and [[connectivity]].
* The study of [[social networks]], where a complete graph might represent a group in which every member knows every other member.
* In [[combinatorial design]] and [[tournament theory]], where the concept of complete graphs is used to structure competitions or arrangements where every participant encounters every other.

==Visualization==
Visualizing a complete graph involves placing \(n\) points (representing the vertices) and drawing a line between every pair of points (representing the edges). For small values of \(n\), this is straightforward, but as \(n\) increases, the visualization becomes increasingly complex due to the rapidly growing number of edges.

==See Also==
* [[Graph theory]]
* [[Simple graph]]
* [[Undirected graph]]
* [[Regular graph]]

[[Category:Graph theory]]

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