by Stephen Bigelow
Context
Jones defined planar algebras in the 1990s [3]. In “The annular structure of subfactors” [6], he explains that the definition of planar algebras grew out of an attempt to solve the massive systems of linear equations that define the standard invariant of certain subfactors. Since then, they have provided a radically new diagrammatic approach to subfactors.
Jones’ breakthrough paper “Index of subfactors” [1] can be seen in retrospect as an application of diagrammatic algebra to subfactors. However the diagrammatic approach to the Temperley–Lieb algebra was only introduced later by Kauffman [e1]. The first use of truly diagrammatic methods to subfactors was [4], which gave certain conditions under which a subfactor has an intermediate subfactor.
The paper “The annular structure of subfactors” is mostly about
Planar algebras and annular tangles
Factors are the building blocks of von Neumann algebras. Any nonzero
morphism between factors must be an embedding, so the study of factors
naturally leads to the study of subfactors. Most of the focus has
been on subfactors of type II
A subfactor of a type II
It takes some time and care to define planar algebras rigorously,
but the basic idea is not so difficult. A planar algebra consists
of a sequence of vector spaces
We briefly mention two of the technical details in the definition
of a planar algebra. First, each vector space
An annular tangle is a planar tangle with only one input. In
other words, it is a Temperley–Lieb diagram drawn in an annulus.
An annular
The annular Temperley–Lieb algebroid
Every subfactor planar algebra is a module over
Jones completely classifies the Hilbert
The case
The study of
Construction of and subfactors
The subfactors with principal graphs
Most of the focus is on the more complicated
Once we have defined
To prove that the dimension of
Instead of proving that every
A diagram in
The first relation is that any annular

The second relation comes from Lemma 8.1, and says that a certain
linear combination
Jones uses the braiding relation by applying it inside a larger
diagram that has two copies of
By an Euler characteristic argument, any nonempty closed diagram
has either a strand that forms a closed loop, a cap attached to a
copy of
The jellyfish algorithm
With his construction of the
As in the
A key observation in [e7] is that you can use the braiding relation to bring any pair of generators to be adjacent. Then there is another relation that lets you simplify the adjacent pair of generators. In this way, they avoid the need for an Euler characteristic argument.
In retrospect, a similar approach would have been possible in the
As usual,
[e8]
defines a planar algebra with one generator
and a list of relations, and prove it is nontrivial by embedding
it in the graph planar algebra of the extended Haagerup graph. This
graph planar algebra is too large to analyze as carefully as Jones
does in the

Analogous to the braiding relation, the extended Haagerup planar algebra has two braiding substitute relations. The simpler of the two is of the form shown in Figure 2. Again, the generator is a circle, and we have omitted the distinguished regions, the shading, and the coefficients in the linear combination. We have also cheated with the ellipsis, which hides some terms that are diagrams with no copies of the generator.
Note that one of the terms on the right of the braiding substitute relation has two copies of the generator. However all generators on the right are all closer to the top than the generator on the left. Thus, if we are willing to increase the number of generators in a diagram, we can move them all to the top.
Once we have all of the generators at the top of a closed diagram, we can then start to decrease the number of generators. If a generator is connected to itself by a “cup”, then the diagram is zero. If not, it is not hard to show there must be a pair of generators that are joined by at least half of their strands. Such a pair can be simplified by the quadratic relation. We can repeat this process until there are no generators.
The above evaluation algorithm is called the jellyfish algorithm, since the first stage is reminiscent of jellyfish floating to the top of a tank. The same algorithm has been used to construct other subfactors, for example in [e10]. Conversely, it has been used to place restrictions on the type of graphs that can be principal graphs of subfactors [e9].