Bratteli graphs.
This package deals with Bratteli graphs. In every function of the package, the Bratteli graph is given by a function returning for a level n
of the graph the incidence matrix of the graph between level n
and level n+1
: the (i,j)
-entry of this matrix is the number of edges between the i
-th vertex at level n
and the j
-th vertex at level n+1
.
For example, the binary tree is defined by:
tree <- function(n) {
M <- matrix(0, nrow = 2^n, ncol = 2^(n+1))
for(i in 1:nrow(M)) {
M[i, ][c( 2*(i-1)+1, 2*(i-1)+2 )] <- 1
}
M
}
The function bratteliGraph
generates some LaTeX code which renders the graph up to a given level:
If you don’t like the style, you are free to modify the LaTeX code.
Here is a binary tree with double edges:
tree2 <- function(n) {
M <- matrix(0, nrow = 2^n, ncol = 2^(n+1))
for(i in 1:nrow(M)) {
M[i, ][c( 2*(i-1)+1, 2*(i-1)+2 )] <- 2
}
M
}
bratteliGraph("binaryTree2.tex", tree2, 3)
Here is the code for the Pascal graph:
Pascal <- function(n) {
M <- matrix(0, nrow = n+1, ncol = n+2)
for(i in 1:(n+1)) {
M[i, ][c( i, i+1L )] <- 1
}
M
}
The dimension of a vertex of a Bratteli graph is the number of paths of the graph going from the root vertex to this vertex. The function bratteliDimensions
of the package computes these numbers:
## [[1]]
## [1] "1" "1"
##
## [[2]]
## [1] "1" "2" "1"
##
## [[3]]
## [1] "1" "3" "3" "1"
Bratteli graphs are of interest to ergodicians, and particularly to Vershik, who introduced the intrinsic kernels of a Bratteli graph and the intrinsic distance between the vertices of a Bratteli graph. Here is a picture of the Pascal graph showing the intrinsic kernels:
The intrinsic kernels are returned by the function bratteliKernels
. The intrinsic distances between two vertices at the same level are returned by the function bratteliDistances
.