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Year 11 Specialists Mathematics
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Graph
A mathematical structure and network used to define and visualise relationships between objects
Edge-endpoint Function
A table with a left column of edges and a right column of endpoints
Vertice
Node or point representing a data point or object
Edge
A line representing a relationship between vertices
Multiple Edges
Two or more edges connecting two same vertices
Loop
An edge which connects a vertex to itself
Isolated Vertex
A vertex not connected to any edge or the endpoint of any edge
Adjacency Matrix
A matrix which stores the number of edges between vertices
Simple Graph
A graph without loops or multiple edges
Subgraph
A graph whose vertices and edges are subsets of another graph
Isometric Graphs
Two or more graphs that have a one-to-one correspondence between all of their vertices that preserves the way the vertices are connected by edges
Degree of Vertex
The number of edges that have the vertex as an endpoint, denoted by deg(v).
Size of Graph
Number of edges of a graph, denoted by |E(G)|
Total Degree
Sum of degrees of all the vertices
Handshaking Lemma
Fundamental principle in graph theory, which states that the total degree of any graph is equal to twice the number of edges of the graph
This is because each edge of a graph has two ends, so each edge contributes exactly 2 to the sum of vertex degrees
Walk
A sequence of alternating vertices and edges where edges connect one vertex to the next in a sequence
Bridge
An edge which when removed would increase the number of connected components
Trail
A walk which does not use the same edge more than once
Circuit
A trail which starts and finishes at the same vertex. Also known as a closed trail
Euler Trail
A trail which uses every edge and vertex. For this to be possible, every vertex has to have an even degree or exactly two vertices have to have odd degrees.
Euler Circuit
A circuit that uses every edge and vertex. For this to occur, the degree of eery vertex is even and the graph is connected.
Connected
Walks between all points exists
Disconnected
Walks between all points don’t exist
Fleury's Algorithm
A classic graph theory and algorithm used to identify an Euler circuit
1) If there are two vertices of an odd degree, start from one of them. Otherwise, start from any vertex.
2) Move from the current vertex across an edge to an adjacent vertex. Always choose a non-bridge edge unless there is no alternative.
3) Delete the edge that was traversed
4) Repeat steps 2-3 until the Euler circuit has been identified
Connected Graph
A graph where walks between all vertices exist
Disconnected Graph
A graph where walks between all vertices don’t exist
Hamiltonian Path
A walk that visits every vertex only exactly once
Hamiltonian Cycle
A walk that visits every vertex only exactly once while starting and ending at the same vertex without repeating any edges
Path
A walk with no repeated vertices
Cycle
A circuit that does not repeat any vertices except the vertex that starts and ends the walk
Length
The number of edges, while taking into account its usage, in a walk