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Graph
nonempty set of vertices and edges connecting vertices
Pendent Vertex
Vertex with a degree of 1
Pendent Edge
Edge that connects to a pendent vertex
Isolated Vertex
Vertex with a degree of 0
End Vertices
The two vertices that are connected by an edge
Parallel Edges
Edges with the same end vertices
Loop
Edge that connects a vertex to itself
Simple Graph
Graph with no parallel edges and loops
Empty Graph
Graph with no edges
Null Graph
Graph with no vertices
Trivial Graph
Graph with only one vertex
Adjacent Edges
Two edges that share a common vertex
Degree
The number of edges which has the vertex as an end vertex, loops are counted twice
Handshaking Theorum
2m = Sum of the degrees of the vertices, where m is the number of edges
Complete Graph
A simple graph which contains all possible edges (Kn)
Cycle Graph
of n vertices, n >= 3, is denoted by (Cn), which is a graph with degree 2 for all vertices.
Wheel Graph
obtains when you add a vertex to the Cycle graph (Cn-1) that is connected to every vertex on the cycle
Bipartite Graph
A graph whose vertices can be divided into two disjoint sets (U and V) such that every edge connects a vertex in U to a vertex in V. No edge connects two vertices within the same set.
Complementary Graph
A graph on the same set of vertices as G, where two distinct vertices are connected by an edge if and only if they are not connected in G.
Walk
A sequence of connected vertices and edges where repetition of both is allowed.
Trail
A walk with no repeated edges
Circuit
A closed path
Cycle
A closed walk
Path
A walk with no repeated vertices and edges except for initial and terminal vertices
Cut Vertex
A vertex of a connected graph whose removal increases the number of connected components
Cut Edge
An edge of a connected graph whose removal increases the number of connected components
Euler Walk
A walk that uses every edge exactly once
Euler Circuit
A closed walk that uses every edge exactly once
Hamilton Circuit
A circuit that uses every vertex in the graph exactly once
Hamilton Path
A path that uses every vertex in the graph exactly once