Cayley Graphs & Expanders

1. Steve the presenter Cayley Graphs & Expanders

2. Some history Arthur Cayley

3. Son of a British merchant in Russia who wedded a Russian girl. • English Super Genius • Did everything • Very smart and knew more than 6 languages including yours and math. • Occupied Lucasian Chair and fathered British pure math • Died at 74 The Real Arthur Cayley For more demoralizing facts, visit his homepage on Wikipedia

4. Some Definitions Let G be a graph (finite and infinite), and let S be a non-empty, finite subset of G. Here we assume S to be symmetric, S= S −1 Definition: The Cayley graph G(G, S) is the graph with the vertex set V = G and edge set E = {{x,y} : x,y in G, there exist s in S : y = xs}

5. Hence, two vertices are adjacent if one is obtained from the other by right multiplication by some element of S. • Note, since S is symmetric, this adjacency relation is also symmetric, i.e, a ~ b implies b ~ a, so that the resulting graphs are undirected.

6. Cayley graphs are motivated by the Cayley Theorem, which states hat every group G is isomorphic to a subgroup of the symmetric group on G.

7. Let's look at some examples: If G = Zn is the finite cyclic group of order n and the set S consists of two elements, the standard generator of G and its inverse, then the Cayley graph is the cycle Cn.

8. G = Z/6Z, S = {1, -1}

9. G = Z/6Z, S = {2, -2}

10. G = Z/6Z, S = {2, -2}

11. G = Z/6Z, S = {3}

12. G = Z/6Z, S = {3}

13. G = Z/6Z, S = {2, -2, 3}

14. G = Z/6Z, S = {2, -2, 3}

15. G = Sym(3), S = {(123), (132), (12)}

16. non-isomorphic groups, isomorphic Cayley Graphs

17. MOre Examples Similarly, suppose now that G= Z is the infinite cyclic group and the set S consists of the standard generator 1 and its inverse (−1 in the additive notation) then the Cayley graph is an infinite chain.

18. G = Z, S = {1, -1}

19. G = Z, S = {1, -1} This of course simply the number line.

20. G = Z, S = {2, -2, 3, -3}

21. G = Z2, S = {(0,1), (-1,0), (0,1), (0,-1)}

22. G = L2, the free group on 2 generators a, b; S = {a, a-1, b, b-1}

23. Alternatively, if we draw each new edge horizontal and vertical to half the length, this gives rise to fractal images. The Cayley graphs of infinite groups provide interesting geometries!

24.                      Expanders Now what is an expander?

25. The investigation of an expander centres around the following question: Given a sparse set of points, how do we systematically construct a highly connected yet efficient network between the points? Conceivably, the answer to such a question is of great interest to electric grid constructors and designers of network between computers among many others.

26. Cayley Graphs, Groups and expanders In the previous slides, we have seen that Cayley graphs give very nice encoding of the structure of discrete groups. Conversely, it also helps us sometimes to translate a graph problem back into its group presentation. This way, we can I will not tell you how now because I don't know yet. But do remember to ask me about it if you see me next semester!

27. Expanders We consider graphs X = (V, E), where V again is the set of vertices and E the set of edges of X. Here we shall limit ourselves to the case that X is undirected and finite.

28. A path in X is a sequence v1, v2,...., vk of vertices, where vi is adjacent to vi+1 (i.e. and {vi, vi+1} is an edge). • A graph X is connected if every two vertices can be joined by a path. (One can trace from one vertice to another one through a series of edges.)‏ • Finally a graph is k-regular if every vertex is also connected to k other vertices through k-edges.

29. This is the celebrated Petersen Graph. • It is clearly connected. • In fact, it is a 3-regular expander.

30. Let F be a subset of V, The boundary ∂F is the the set of edges connecting F to V – F. • In our case here, F = 3, V – F = 7, ∂F are the seven black “fat” edges.

31. The expanding constant, or the isoperimetric constant of X, is: • h(X) = inf {abs(∂F)/(min{abs(F),abs(V – F)}) : F is subset of V, 0 < abs(F) < +∞}

32. h(X) = inf {abs(∂F)/(min{abs(F),abs(V – F)}) : F is subset of V, 0 < abs(F) < +∞} • If we view X as a network transmitting information (where retained by some vertex propagates, say in one unit of time, to neighboring vertices), then h(X) measures the quality of X as a network: • h(X) is large, information propagates well.

33. Let's consider two extreme examples: • The complete graph Km on m vertices is defined s.t. Every vertex is connected to one another, e.g. m = 5. • It's clear in this case, if F = i, ∂F = i(m-i) s.t. h(Km) = m/2

34. The cycle Cn on n vertices: • When n = 6, if F is a half-cycle, ∂F = 2 • h(Cn) is smaller than 2/(n/2) = 4/n • In particular, h(Cn) goes to zero as n goes to infinity

35. Thus we see that highly connected complete graph has a large expanding constant that grows proportionately with the number of vertices. • On the other hand, the minimally connected graph has a small expanding constant that goes to zero as n increases. • In this sense, h(X) does indeed give us a measure of the “quality” of the network.

36. That's all I know about expanders at this point. Thank you!