Fra said:
The idea I had so far was to picture the spinnetwork edges, as defining "dataflow" ...
Do you mean spinfoam edges?
Or did you actually mean spinnetwork links? I find it is a big help to use the prevailing terms in the literature---not mixing up terminology helps me think straight. I was confused by your statement and could not tell which you meant---foams or networks?
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BTW have you noticed in the standard LQG (1004.1780) treatment there is a kind of reciprocal interplay between boundary and bulk? It is interesting how the treatment of transition amplitudes goes back and forth between network (boundary state) and foam (bulk history). Like each scratching the other's back---or like for some jobs you need two hands.
You start out with (network) boundary states. Kinematics is defined, but still no dynamics---no amplitudes.
Then comes equation (43): you see that the amplitude of a network boundary state is going to be a
sum over foam histories in the surrounded bulk.
Now each foam can be broken down to its constituent vertices. We need to define an amplitude for each foam vertex.* The amplitude for the whole history will be the
product of all the amplitudes for the constituent vertices. Equation (44).
The most efficient way to define a single vertex's amplitude turns out to be to surround the individual vertex by a small private boundary, defining again a network! But this network is especially simple and turns out to have a natural and concise amplitude formula! Equation (45).
That then defines the individual vertex amplitude, and makes it computable.
So one has "walked" down a reductive path, stepping both with the "bulk foot" and the "boundary foot". From a large complex (network) boundary, to a sum over (foam) histories, each becoming a product over individual (foam) vertices, which were surrounded then by calculable individual (network) boundaries.
This is condensed into one equation, (52) on page 9. <W|\psi> = \sum_\sigma \prod_f d(j_f)\prod_v W_v(\sigma)
Here d(j
f) just stands for the vectorspace dimension of the representation j
f. In other words, d(j
f)=2j
f + 1.
And W_v(\sigma) is shorthand for the local vertex amplitude I was talking about. Equation (53) explains:
W_v(\sigma) = <W_v|\psi_v>
You will recognize ψ
v as the small private boundary one can always construct around an individual vertex, and evaluate to get the vertex amplitude.
αβγδεζηθικλμνξοπρσςτυφχψω...ΓΔΘΛΞΠΣΦΨΩ...∏∑∫∂√ ...± ÷...←↓→↑↔~≈≠≡≤≥...½...∞...(⇐⇑⇒⇓⇔∴∃ℝℤℕℂ⋅)
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*In case someone new is joining us, in standard Lqg terminology, spinnetworks do not have vertices (they are made of nodes and links). If someone says "vertex" in the Lqg context you know they are talking about a spinfoam (made of vertices, edges, faces). It makes communication more economical and convenient to remember these simple distinctions.