Elasticity and bipartite graphing

Now  I work on superposition of bubble elasticity. I want a oryhogonal set of overlap ratios.  Here is my model.

I have a Lucas enerator mking bubbls from the 2 1 kernel. The expnding number of buble add up.  The model can generate the compress/expand set, set size finite. An excess of bubble forces a new bipartitie oundary,  Bubbles can assume an elasticity such that it meets some condition (I select hyperbolic) that requies local conservation of buble.  Then we get yhe Wythoff game of aggregae the cold and hot positions.  The set of superimposed elasticities  adjusts so that he Skellam distribution goes toward some value, like one. So my sphere packing has become a bipartitie, compound stitch,  knitting contest. What ever conditions the bubble meet, they must have a R R' rule to be informed about the state of the Skellam distribution. Adding energy adds another bipartitie layer and forces enormalization.

This sounds like that Shramm-Loewner evolution, makes me hungry for a banana.

In the banking model, the member banks are knitting a bipartite graph desending from the currency banker. That is the decode network.  customer accounts move up make the encoding graph.
Proof:
We see something. Thus the object obeys Ito's Calculus, thus it oberys equipartion, thus it is a constant knitter of bipartite. There is no other proof., well a nshort one. Since the system drives the Skellam to one, then it is at or approaching maximum entropy. The total number of bipartite nodes should be minimal, or maybe Matilde Macolli can tell us.  But she will define the entropy map.

There he is, Oded Schramm, the originator.