At the checkout stand, we can decompose it if time stood for us, in other words get a complete sequence of clerks and customers. Now decompose the problem, with the Alice cat.
If deposits were a properly encoded message inside the Gaussian channel, and separately, the same held for the loans, as properly encoded. Then I match the Gaussian to standard, and subtract variances. If this is zero transaction cost liquidity, this is a Poisson queuing problem, compound. Waits go through staged generators, accumulating interest charges according to number steps through the map. Hence the mean times variance uncertainty in each node. Matched messages, like an error correcting code. is what the currency banker does. (A currency generator,. simple type is two color, non-profit, perhaps a nearly constant fee, risk equalized).
Nodes have variance 'capacity', and that is momentum, the slightly extra inventory space. Kind of like the vacuum of space sucking, your inventory slightly hisses.
Balance SNR, a power ratio, we are encoding to that. But it is two way, so it is nearly 50/50; the channel is shared; and the equation carries the pit boss variance s round off error. A self sampling system, means band limit requirement never quite met, we have motion.
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