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arxiv: 1212.5473 · v1 · pith:4LUIYJROnew · submitted 2012-12-21 · 💻 cs.IT · math.IT

Spin foam with topologically encoded tetrad on trivalent spin networks

classification 💻 cs.IT math.IT
keywords graphspintrivalentencodeddatafieldsfoaminformation
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We explore discrete approaches in LQG where all fields, the gravitational tetrad, and the matter and energy fields, are encoded implicitly in a graph instead of being additional data. Our graph should therefore be richer than a simple simplicial decomposition. It has to embed geometrical information and the standard model. We start from Lisi's model. We build a trivalent graph which is an F4 lattice of 48-valent supernodes, reduced as trivalent subgraphs, and topologically encoding data. We show it is a solution for EFE with no matter. We define bosons and half-fermions in two dual basis. They are encoded by bit exchange in supernodes, operated by Pachner 2-2 move, and rest state can be restored thanks to information redundancy. Despite its 4 dimensional nature, our graph is a trivalent spin network, and its history is a pentavalent spin foam.

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