Christopher J. Kimmer, Ph.D.
IU Southeast Informatics
iSci
the informatics of scientific computing
Algebraic Structure of the Inflation Matrices
The possible entries for columns of inflation matrices have already been listed in Table 3.2 , and Appendix A contains an example of the derivation of an inflation matrix specific to a choice of inflation rules. Beyond specific choices of inflation rules, the structure of the matrices themselves is extremely interesting and sheds some light on the properties of these tilings.
A general inflation matrix for any of these tilings constructed by any choice of inflation rules can be written down based on knowledge of the relative tile frequencies. For instance, if one knows that half of the T 1 tetrahedra inflate one way and half another, the entry for T 1 tetrahedra in an inflation matrix is the average of the entries for these two possible ways listed in Table 3.2 . More abstractly, a generalized inflation matrix can be written as an average over the entries in Table 3.2 weighted by the relative frequencies of each particular inflation of a tile. These frequencies are not in general known without knowledge of the inflation matrix itself, but some interesting properties of the tiling turn out not to depend on the relative tile frequencies.
Headway can be gained by considering the form of the weighted average. Combinatorially, there are only three ways to inflate a T 1 tetrahedron and two ways to inflate all the other tiles. The number of relative frequencies that must be specified to construct an inflation matrix is only the number of combinatorially inequivalent ways to inflate a tile, so it is less than the number of ways considered in the above paragraph. A general inflation matrix can be written as
with the entries for each tile v i written as the weighted average over the entries of Table 3.2 :
subject to the constraint that αT1 + βT1 + γT1 = 1 to normalize the relative frequencies for this tile. Similar entries can be written for the other tiles, each of which inflate in only two combinatorially distinct ways. Using the same notation as in the T 1 case introduces the relative frequencies αi , βi , i ∈ { T 2 , O 1 , O 2 } and the column vectors A i , B i , i ∈ { T 2 , O 1 , O 2 } . To be specific, fix the { A i , B i } by order they are listed in Table 3.2 . The normalization condition implies that βi = 1 - αi , implying 5 degrees of freedom in the specification of

As shown in Section 3.4, all the rearrangements between two
combinatorially distinct
τ2
inflations of a tile correspond
to adding or subtracting
≡
(1, - 1, 3, - 2)
from the inflation
matrix column entries in Table
3.2
.
Specifically, there are the relations
|
( 39 ) |
This single flip

and the matrix with columns given by the { B i } is written as
![]() ![]() ![]() ![]() ![]() ![]() |
( 41 ) |
Equation 3.14 shows that any general inflation matrix has some constant core associated with it plus a variable part that depends on the relative frequencies of the combinatorially inequivalent ways of re-tiling an inflated tile.
The matrix
0
has a zero eigenvalue with eigenvector
, so the decomposition of the general inflation matrix
in Equation
3.14
isolates the
-direction
in the 4-dimensional tile space from
0
.
Consequently,
must be an eigenvector of the general inflation matrix
,
with an eigenvalue dependent on the values of the
{
αi
,
γT1
}
given by
(
αT1
-
γT1
-
βT2
+3
βO1
-2
βO2
)
. A left eigenvector corresponding
to the eigenvalue
τ6
of
0
and
is the vector
whose entries are proportional to
the volume of each tile. Since left and right eigenvectors of different
eigenvalues are orthogonal,
.
= 0
; in
other words, the two tile flips
represents
conserve volume. Additionally, all the tile flips
discussed in Section 3.4 change at most one vertex
along the same edge, so
the vertex fraction in the volume the tile flips are confined to does not
change. Consequently, the
vector is also
orthogonal to the vector
representing the number of vertex fraction
in each tile
(
= (
,
,
,
)
).
Manipulating inflation matrices is only arcana until the vertex
density of a tiling constructed with
inflation rules is computed. The density can be written in terms of the
vectors
and
discussed above along with the right
eigenvector
χ/2
of
with eigenvalue
τ6
which
gives the relative frequencies of tiles
Since










It is not particularly staggering that a family of tilings have invariant vertex density; it has been remarked that several two-dimensional families of tilings have this property. What is interesting is that the eigenvector χ/2 is not constant; it depends on the relative weights of the { αi , γT1 } . Consequently, the tile frequencies change while still giving rise to the same vertex density.
It is clear that any one pruning operation
leaves the density
invariant since in the tiling picture the pruning operation forces
tile rearrangements that are stable with respect to both the volume and
vertex fraction per tile vectors. However, it is less clear that the
density has to be stable with respect to successive inflations where
making a particular choice of inflation rule at one step affects the
form of the tiling at successive inflation steps. It has not been shown that
the 4 tile rearrangements described above can be used to modify a given
tiling into any arbitrary tiling constructed by these inflation rules.
Chris Kimmer 2011-06-01