Take my favorite number, 109, multiply by 3/2, that is give it a guard band in Bayesian space. One gets 162, interesting because 131 is the fourth field in the 4 tuple of low energy with three non unitary relative primes.
But, an objection. I am craw.ling up relative prime space in tiny steps, I will nautrally be finding these congruencies. Valid point, but we have this unprovable that nature has the same limitation. The limitations of finite aggregates. Hence the whole point, is the law of relative primes always entropy maximizing? If so, then generalized Markov n-tuple are the natural commuter for finite dimensional models.
In other words. ll the valid dots on your Lie paper, the Lagrange points, will be defined as Markov N-tuple integer solutions. The various centroids in Ito's calculus, the set of possible geodesics. When the physicist smashes proton she is performing least common denominator, division. And the best measuring instruments are flat earth. Otherwise it is back to algebra class and find the boundaries of the Bayesian model, crawl up the minimal relative prime path. The noise cost of just looking at nature is the fine structure constant. That is flat earth noise, the information loss from flattening the salad bowl onto Lie paper.
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