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End vertices
two vertices connected by a specific edge
Parallel edges
edges with the same end vertices
Loop
an edge connecting a vertex to itself
Simple graph
a graph without parallel edges or loops
Empty graph
a graph with no edges
Null graph
a graph with no vertices
Trivial graph
a graph with only one vertex
adjacent edges
edges with a common end vertex
adjacent vertices
vertices connected by an edge
degree of a vertex
the number of edges connected to that vertex (loops are counted twice)
pendant vertex
a vertex with degree 1
pendant edge
an edge with a pendant vertex as an endpoint
isolated vertex
a vertex with degree 0
walk
a sequence of edges and vertices from an initial vertex to a terminal vertex
trail
a walk with no repeating edges
path
a walk with no repeating vertices (and edges)
closed walk
a walk from a vertex to itself
closed trail (circuit)
a trail from a vertex to itself
closed path (cycle)
a path from a vertex to itself
circuitless graph
a graph with no circuits
length of a walk
number of edges you go over to get to the terminal vertex
connected graph
a graph where all vertices are connected to each other
cut vertex
a vertex whose removal increases the number of connected components
cut edge
an edge whose removal increases the number of connected components
Euler walk
a walk that visits every edge exactly once
Euler circuit
a closed walk that visits every edge exactly once
Euler graph
a graph that has an Euler circuit
When does a graph have an Euler walk?
if it has exactly 2 vertices with an odd degree
When does a graph have an Euler circuit?
if every vertex has an even degree
Hamilton circuit
a circuit (closed walk) that visits every vertex exactly once
Hamilton path
a path that visits every vertex exactly once
Hamiltonian graph
a graph that has a Hamilton circuit
Dirac’s theorem
in a simple graph of n vertices, if the degree of each vertex is at least n/2, then the graph contains a Hamiltonian circuit
Ore’s theorem
in a simple graph of n vertices, if the degree of any two non-adjacent vertices sums to at least n, then the graph contains a Hamiltonian circuit
Complete graph (Kn)
a graph of n vertices, where each pair of vertices is connected by an edge
Cycle graph (Cn)
a graph of n vertices, where each vertex has a degree of 2 and are connected in a closed loop (edges follow “around” the graph)
Wheel graph (Wn)
a graph formed when adding a vertex to a cycle graph of n vertices (Cn) and connecting that vertex to all other vertices
Bipartite graph
a graph V whose vertices can be divided into two disjoint sets V1 and V2 such that every edge connects a vertex in V1 to one in V2
Complete bipartite graph (Km,n)
a bipartite graph that includes all possible edges between vertices in V1 and vertices in V2
When is a graph circuitless?
when there are no loops and there is at most one path between any two given vertices
When is a graph bipartite?
if it does not have a cycle of odd length
Tree
a connected graph with no circuits
Trivial Tree
a tree with one vertex
Forest
a graph that is circuit-free and not connected
rooted tree
a tree in which one vertex is designated as the root and every edge is away from the root
level of a vertex
number of edges you need to go over to get from that vertex to the root
height of a rooted tree
max level of any vertex of the tree
children of vertex v
all vertices that are adjacent to v and one level farther away from the root than v
internal vertices
vertices that have children
terminal vertex (leaf)
a vertex with no children
siblings
two distinct vertices that have the same parent
ancestors of a vertex
vertices on the path from the vertex to the root (including the root)
descendants of a vertex
vertices that have that vertex as an ancestor
m-ary tree
a rooted tree where every internal vertex has no more than m children
full m-ary tree
every internal vertex has exactly m children
What are the parts of a decision tree?
root nodes, internal nodes, and leaf nodes
How many edges does a tree with n vertices have?
A tree with n vertices has n - 1 edges