Cayley Graph Generator

group structure visualization

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About Cayley Graph Generator

A Cayley graph generator building Cay(G,S) for finite group G with generating set S. Vertices = group elements, edges from multiplication by generators. Always vertex-transitive. Includes Z_n, D_n, S_n examples. Client-side.

Cayley Graph Generator Features

  • Cay(G,S)
  • Group select
  • VT always
  • Diameter
  • Common groups
Cayley graph Cay(G,S): vertices = elements of group G, edge from g to gs for each generator s∈S. Always vertex-transitive (G acts on itself by left multiplication). Fundamental bridge between group theory and graph theory.

How to Use

Select group:

  • G: Finite group
  • S: Generators
  • Graph: Cayley graph

Classic Examples

Cay(Z_n, {1}): cycle C_n. Cay(Z_n, {1,-1}): cycle with bidirected edges. Cay(Z_2^n, {e_i}): hypercube Q_n. Cay(S_n, transpositions): various beautiful graphs. Group structure ↔ graph properties.

Applications

Network design: Cayley graphs as interconnection networks (hypercubes, butterfly). Expander graphs: Cayley graphs of certain groups. Cryptography: hash functions based on Cayley graphs. Coding theory: Cayley graph codes.

Step-by-Step Instructions

  1. 1Select group G.
  2. 2Choose generators S.
  3. 3Build Cayley graph.
  4. 4Analyze properties.
  5. 5Compute diameter.

Cayley Graph Generator — Frequently Asked Questions

Are all Cayley graphs vertex-transitive?+

Yes! G acts on Cay(G,S) by left multiplication: g maps vertex h to gh. This action is transitive — any element can be mapped to any other. But not all VT graphs are Cayley (Petersen is VT but not Cayley).

What's the diameter of a Cayley graph?+

Diameter = max distance = max number of generators needed to express any group element. Small diameter is desirable for networks. Cayley graphs of abelian groups: diameter related to group structure.

What's an expander Cayley graph?+

Random Cayley graphs of non-abelian groups tend to be expanders. Lubotzky-Phillips-Sarnak: explicit expander Cayley graphs of PSL(2,p). Important in CS: error-correcting codes, derandomization.

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