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These flashcards cover the definitions and key properties of graph theory concepts introduced in the lecture.
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Graph
A set of vertices and edges connecting some pairs of vertices.
Vertex (node)
An individual object in a graph.
Edge
A connection between two vertices.
Degree
Number of edges incident to a vertex.
Regular Graph
A graph where every vertex has the same degree.
Adjacency List
A representation where each vertex stores a list of adjacent vertices.
Adjacency Matrix
A matrix where entry (i, j) indicates the presence (or absence) of an edge between vertices i and j.
Walk
A sequence of vertices and edges where each edge's endpoints are consecutive vertices.
Length of a Walk
Number of edges in the walk.
Closed Walk
A walk where the first and last vertices are the same.
Trail
A walk with no repeated edges.
Circuit
A closed trail (starts and ends at the same vertex without repeating edges).
Path
A walk with no repeated vertices.
Cycle
A closed path (starts and ends at the same vertex, no other repeated vertices).
Connected Graph
A graph in which there is a path between any two vertices.
Connected Component
A maximal set of connected vertices.
Edge Connectivity
The minimum number of edges that need to be removed to disconnect the graph.
k-Edge Connected Graph
A graph that remains connected whenever fewer than k edges are removed.
Euler Circuit
A closed walk that includes every edge exactly once.
Euler Trail
A walk that includes every edge exactly once but does not necessarily end at the starting vertex.
Even Degree
A vertex has even degree if the number of edges incident to it is even.
Hamiltonian Path
A path that visits every vertex exactly once.
Hamiltonian Cycle
A cycle that visits every vertex exactly once and returns to the starting vertex.
Isolated Vertex
A vertex with degree 0.
Maximal
A property is maximal if it cannot be extended by including one more element.
Incident
An edge is incident to a vertex if it is connected to that vertex.
Neighbors
Vertices connected by an edge.