This must be the general rule, the coffee cup slosh effect. The reason we have these symmetric atoms like helium and nitrogen.
On the Markov tree, way up around Markov 3 Typle 108, they need to spit symmetry. The slosh effect places the new stable set along six lower Markov 3-Tuples. This is a optimal Markov 3 Tuple to match the 4 tuple nearest N. The 4th is mostly about 3/4, the duplicates. Hence the split into a three set iLog(i) sequences. But the effect is to leave a very large magnetic shell, a toroid.
The negative Markov? The Markov nodes have negatives. Any given quark is a combination of the three. They have been sufficiently spread out on the 3 Tuples that they minimally interfere. They each
Interesting prime problem. If I had a M +1 tuple divided up into M nodes on the lower tree, then my optimum separation should be M nodes in the lower system. But this includes their negatives. What I am doing is saying there is the optimum 3D Avogadro, and the error bad is symmetric, so I ran toll that tree around, adding one branch per node. Then I can reduce back by finding the M nodes that best match. That ant an their negatives.
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