1/35
Vocabulary and formulas related to graph theory, including vertex properties, graph types, and connection rules.
Name | Mastery | Learn | Test | Matching | Spaced | Call with Kai | Chat |
|---|
No analytics yet
Send a link to your students to track their progress
Graph
A diagram that shows connections between people or objects, such as towns connected by roads or people on social media.
Vertex
A dot in a graph representing an object, person, or city; the plural form is vertices.
Edge
A line that joins pairs of vertices to represent the connection between them.
Multiple edges
A feature where two or more edges connect the same two vertices in a graph.
Simple graph
A graph that has no loops and no duplicate or multiple edges.
Isolated vertex
A vertex that is not connected to any other vertex by an edge, resulting in a degree of 0.
Degenerate graph
A graph where all vertices are isolated, meaning there are no edges in the graph at all.
Connected graph
A graph where every vertex is connected to every other vertex, either directly or indirectly via other vertices.
Bridge
An edge in a connected graph that, if removed, will cause the graph to become disconnected.
Complete graph
A graph where every vertex is connected directly by an edge to every other vertex in the graph.
Degree of a vertex in a complete graph
One less than the number of vertices, represented as n−1.
Number of edges in a complete graph
For a complete graph with n vertices, the formula is 21×n×(n−1).
Subgraph
A part of a larger graph where all of its edges and vertices must exist in the original graph.
Loop
An edge that connects a vertex to itself, adding 2 to the degree of that vertex.
Degree of a vertex
The number of times an edge connects to a vertex, written as deg(V).
Even vertex
A vertex where the degree of the vertex is an even number.
Odd vertex
A vertex where the degree of the vertex is an odd number.
Sum of degrees
The total value of all vertex degrees in a graph, which is equal to 2 times the number of edges.
Eulers formula
V + f - e = 2
Walk
A route path through a graph from one vertex to another along the edges of a graph
Open walk
A walk that starts and ends at different vertices
Trail
A walk that has no repeated edges but can repeat vertices
Path
A walk with no repeated edges or vertices
Closed trail
A trail that starts and ends at the same vertex
Cycle
A path that starts and ends at the same vertex
Eulerian trail
A closed trail that involves every edge of the graph, where every vertex must have an even degree
Eulerian graph
A graph that contains an Eulerian trail
Semi Eulerian graph
A graph that contains an open trail that involves every edge of the graph and has two vertices eith an odd degree
Hamiltonian cycle
A closed path that visits every vertex of the graph and starts and ends in the same place
Hamiltonian path
An open path that visits every vertex of the graph
Semi-Hamiltonian path
A graph that contains an Eulerian Hamiltonian path
Weighted graph
A graph that has numbers associated with each edge of the graph
Network
A weighted graph that represents physical quantities ( e.g time, distance, cost, ect. )
The travelling salesperson problem
Finding a Hamiltonian cycle in a graph that has the smallest total weight ( uses key phrases/words such as minimising the total distance travelled through a graph to return to the start vertex …)
The shortest path problem
Finding the shortest path from one vertex to another, but does not have to visit every vertex
Planar
A graph where all vertices are connected but none cross over each other