Thursday, February 6, 2020

Homomorphic, as I use it

I have two generators, structured queues. I want to take one generator and sequence through all the nodes, making at most one node exchange with a local. At the end of the transformation, I never exceeded the bounded error for the generator, but everywhere the node to node ratio across generators is within the same error bound. They literally have the same density ratio everywhere, and liquidity is maximum, where liquidity implies  a local change only can maintain the density ratio.

e automated S&L forces homomorphism, it utilizes forst to look, or fastest to completion. The piot boss gets to peek between asynchronous deposits and loans, and as soon as the bounded error condition is breached, it springs into action by rematching the two queues and issuing n asynchronous interest swap to put the market risk back below bounds.  There is never the opportunity for traders to wait in line with a huge, innovative chunk of dough, the pit boss spots it s fast s fools on the other side. But you notice, it is automated because the risk is bounded and there will be no profits.

The trading pit is a finite block chain which clears in one step, as observed by the traders.  Old, completed trades are deleted, recoverable only via forensics (searching the entire rest of the closed system).

In plain english.

The Walmart checkout manager  walks up and down the checkout stands changing 'items per basket'.  None of the clerk and customer  queues get overly or under congested. The two independent queues appear to be gaussian arrivals.  Total flow is a measured baskets per sequence, which we can estimate as baskets per hour.  So, to the best estimate, the price velocity equations should work.  Your basket size will match car size to match homeowner inventory size, and so on.

Baskets per sequence is simply N, the number of transactions out of the store that completely recycles inventory. It is a measure of how well Walmart packs the sphere, the stores have an Avogadro's number, proportional to the number of shopping carts.  The system has to compute, that is what is happening We don't get those economics equations for free, you and I and the Walmart checkout manager have to do work.

In quantum physics

At minimum energy one can see that two Walmart clerks can never serve the same queue, only zero or one. The customers can wait a with one or two only. These conditions meet the uncertainty bound when flow is minimal, but necessarily positive. We can also see that at minimum, the sample rate, over all, meet Nyquist. Energy conservation and Planck's constant condition both necessary, proved and consistent. The one principle, no flow no quantization. That last part is what is new, the semi-independent agents have to actually do the computation themselves, physicists are not free.

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