Wednesday, December 6, 2017

I work for Nick, sometimes

For fun. He generated these equations, correctly with assistance on his blog:

debt/GDP is maximum when when  r/(g-r).

We  treat r and gh as he sequences of interest charges and some sequene g that sums yo GDP,  think.  Then we do the math above when the two generators ae isonormal, done using the bit error process o make them both minimally parallel, in essene.

So, here is a finite, bound error term when  we do operations on generators, like take the norm or subtract them.

debt to GDP is really noise to signal, in the Shannon channel, so we get 2^(info capacity) - SNR = 1, pur logistics equation which is approximated by ur Huffman compacter. SNR is GDP per debt, a ratio obtainable via the ration= of the norms of normalized generators.

We take a sequence and normalize its generator against a standard sphere packing consumer. One Huffman generator.  Then we go algebra across isonormal generators to find the exact isonormal match between to,generating the term 1 (or less) , on the Shannon equation. The logistic matching error, the amount of milling about shoppers do.

My claim is that we can do Nicks algebra, substituting minimal graph generators for real numbers. Do it in real time, in the pits.

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