
- Graph Theory - Home
- Graph Theory - Introduction
- Graph Theory - History
- Graph Theory - Fundamentals
- Graph Theory - Applications
- Types of Graphs
- Graph Theory - Types of Graphs
- Graph Theory - Simple Graphs
- Graph Theory - Multi-graphs
- Graph Theory - Directed Graphs
- Graph Theory - Weighted Graphs
- Graph Theory - Bipartite Graphs
- Graph Theory - Complete Graphs
- Graph Theory - Subgraphs
- Graph Theory - Trees
- Graph Theory - Forests
- Graph Theory - Planar Graphs
- Graph Theory - Hypergraphs
- Graph Theory - Infinite Graphs
- Graph Theory - Random Graphs
- Graph Representation
- Graph Theory - Graph Representation
- Graph Theory - Adjacency Matrix
- Graph Theory - Adjacency List
- Graph Theory - Incidence Matrix
- Graph Theory - Edge List
- Graph Theory - Compact Representation
- Graph Theory - Incidence Structure
- Graph Theory - Matrix-Tree Theorem
- Graph Properties
- Graph Theory - Basic Properties
- Graph Theory - Coverings
- Graph Theory - Matchings
- Graph Theory - Independent Sets
- Graph Theory - Traversability
- Graph Theory Connectivity
- Graph Theory - Connectivity
- Graph Theory - Vertex Connectivity
- Graph Theory - Edge Connectivity
- Graph Theory - k-Connected Graphs
- Graph Theory - 2-Vertex-Connected Graphs
- Graph Theory - 2-Edge-Connected Graphs
- Graph Theory - Strongly Connected Graphs
- Graph Theory - Weakly Connected Graphs
- Graph Theory - Connectivity in Planar Graphs
- Graph Theory - Connectivity in Dynamic Graphs
- Special Graphs
- Graph Theory - Regular Graphs
- Graph Theory - Complete Bipartite Graphs
- Graph Theory - Chordal Graphs
- Graph Theory - Line Graphs
- Graph Theory - Complement Graphs
- Graph Theory - Graph Products
- Graph Theory - Petersen Graph
- Graph Theory - Cayley Graphs
- Graph Theory - De Bruijn Graphs
- Graph Algorithms
- Graph Theory - Graph Algorithms
- Graph Theory - Breadth-First Search
- Graph Theory - Depth-First Search (DFS)
- Graph Theory - Dijkstra's Algorithm
- Graph Theory - Bellman-Ford Algorithm
- Graph Theory - Floyd-Warshall Algorithm
- Graph Theory - Johnson's Algorithm
- Graph Theory - A* Search Algorithm
- Graph Theory - Kruskal's Algorithm
- Graph Theory - Prim's Algorithm
- Graph Theory - Borůvka's Algorithm
- Graph Theory - Ford-Fulkerson Algorithm
- Graph Theory - Edmonds-Karp Algorithm
- Graph Theory - Push-Relabel Algorithm
- Graph Theory - Dinic's Algorithm
- Graph Theory - Hopcroft-Karp Algorithm
- Graph Theory - Tarjan's Algorithm
- Graph Theory - Kosaraju's Algorithm
- Graph Theory - Karger's Algorithm
- Graph Coloring
- Graph Theory - Coloring
- Graph Theory - Edge Coloring
- Graph Theory - Total Coloring
- Graph Theory - Greedy Coloring
- Graph Theory - Four Color Theorem
- Graph Theory - Coloring Bipartite Graphs
- Graph Theory - List Coloring
- Advanced Topics of Graph Theory
- Graph Theory - Chromatic Number
- Graph Theory - Chromatic Polynomial
- Graph Theory - Graph Labeling
- Graph Theory - Planarity & Kuratowski's Theorem
- Graph Theory - Planarity Testing Algorithms
- Graph Theory - Graph Embedding
- Graph Theory - Graph Minors
- Graph Theory - Isomorphism
- Spectral Graph Theory
- Graph Theory - Graph Laplacians
- Graph Theory - Cheeger's Inequality
- Graph Theory - Graph Clustering
- Graph Theory - Graph Partitioning
- Graph Theory - Tree Decomposition
- Graph Theory - Treewidth
- Graph Theory - Branchwidth
- Graph Theory - Graph Drawings
- Graph Theory - Force-Directed Methods
- Graph Theory - Layered Graph Drawing
- Graph Theory - Orthogonal Graph Drawing
- Graph Theory - Examples
- Computational Complexity of Graph
- Graph Theory - Time Complexity
- Graph Theory - Space Complexity
- Graph Theory - NP-Complete Problems
- Graph Theory - Approximation Algorithms
- Graph Theory - Parallel & Distributed Algorithms
- Graph Theory - Algorithm Optimization
- Graphs in Computer Science
- Graph Theory - Data Structures for Graphs
- Graph Theory - Graph Implementations
- Graph Theory - Graph Databases
- Graph Theory - Query Languages
- Graph Algorithms in Machine Learning
- Graph Neural Networks
- Graph Theory - Link Prediction
- Graph-Based Clustering
- Graph Theory - PageRank Algorithm
- Graph Theory - HITS Algorithm
- Graph Theory - Social Network Analysis
- Graph Theory - Centrality Measures
- Graph Theory - Community Detection
- Graph Theory - Influence Maximization
- Graph Theory - Graph Compression
- Graph Theory Real-World Applications
- Graph Theory - Network Routing
- Graph Theory - Traffic Flow
- Graph Theory - Web Crawling Data Structures
- Graph Theory - Computer Vision
- Graph Theory - Recommendation Systems
- Graph Theory - Biological Networks
- Graph Theory - Social Networks
- Graph Theory - Smart Grids
- Graph Theory - Telecommunications
- Graph Theory - Knowledge Graphs
- Graph Theory - Game Theory
- Graph Theory - Urban Planning
- Graph Theory Useful Resources
- Graph Theory - Quick Guide
- Graph Theory - Useful Resources
- Graph Theory - Discussion
Graph Theory - Cayley Graphs
Cayley Graphs
A Cayley graph is a special type of graph that represents the structure of a group, a fundamental concept in abstract algebra. It is constructed using a set of generators, which are a subset of the group elements, to define the group's structure.
This graph provides a visual representation of how the group elements relate to one another, capturing the group's symmetry and algebraic properties.
Formally, given a group G and a generating set S, the Cayley graph (G, S) is a directed graph where −
- Vertices: Each vertex corresponds to an element of the group G.
- Edges: There is a directed edge from vertex g to vertex h if and only if there is a generator s in S such that h = gs.
If the generating set S is symmetric (i.e., if s is in S, then s-1 is also in S), the Cayley graph can be considered undirected by ignoring the direction of the edges.
Properties of Cayley Graphs
Cayley graphs have several important properties that reflect the structure of the underlying group. Following are some of the important properties −
- Vertex-transitivity: Cayley graphs are vertex-transitive, meaning that for any two vertices u and v, there exists an automorphism of the graph mapping u to v.
- Regularity: The degree of each vertex in a Cayley graph is equal to the size of the generating set S.
- Connectedness: The Cayley graph is connected if and only if the generating set S generates the group G.
- Symmetry: Cayley graphs exhibit a high degree of symmetry, which makes them useful for studying the algebraic structure of groups.
An automorphism is a transformation of a structure that maps the structure onto itself without changing its properties. In graph theory, it means a way to rearrange a graph's nodes while preserving the connections between them.
Graph Structure
The structure of a Cayley graph can vary significantly depending on the group and generating set. Here is an example of a Cayley graph for the group Z4 (the integers modulo 4) with the generating set S = {1, 3}:

In this representation, the vertices correspond to the elements {0, 1, 2, 3} of Z4, and edges are drawn according to the generating set {1, 3}.
Adjacency Matrix
The adjacency matrix of a Cayley graph provides a numerical representation of the graph's structure. For a Cayley graph (G, S), the adjacency matrix A is defined as follows −
A[i][j] = 1 if there exists a generator s in S such that g_i * s = g_j 0 otherwise
Here is the adjacency matrix for the Cayley graph of Z4 with generating set {1, 3} −
0 1 0 1 1 0 1 0 0 1 0 1 1 0 1 0
Construction of Cayley Graphs
Cayley graphs can be constructed using various methods. The most common approach involves defining a group and a generating set, and then drawing the corresponding graph. Here, we will describe two common methods: using permutations and using cosets.
Using Permutations
One way to construct a Cayley graph is by using permutations. This method involves defining the group as a set of permutations and the generating set as a subset of these permutations. The steps are as follows −
- Define the group G as a set of permutations on a finite set.
- Choose a generating set S from the permutations in G.
- Construct the graph by drawing vertices for each element of G and edges according to the generating set S.
For example, consider the symmetric group S3 (the group of all permutations of 3 elements) with generating set {(12), (123)}. The resulting Cayley graph is −

Using Cosets
Another method for constructing Cayley graphs is using cosets. This approach is particularly useful for studying quotient groups. The steps are as follows −
- Define the group G and a normal subgroup N.
- Choose a generating set S from the elements of G.
- Construct the quotient group G/N and the corresponding Cayley graph by drawing vertices for each coset and edges according to the generating set S.
For example, consider the group Z6 with normal subgroup {0, 3} and generating set {1, 2}. The resulting Cayley graph is −

Applications of Cayley Graphs
Cayley graphs have various applications in mathematics, computer science, and other fields. Some of the applications are −
- Group Theory: Cayley graphs are used to visualize and study the structure of groups, including their subgroups, quotient groups, and automorphisms.
- Network Design: The symmetry and regularity of Cayley graphs make them useful in the design of efficient and fault-tolerant network topologies.
- Algorithm Design: Cayley graphs are used in the design and analysis of algorithms, particularly in the context of group-based computations and cryptography.
- Mathematical Puzzles: Cayley graphs appear in various mathematical puzzles and recreational mathematics problems due to their intriguing properties.