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Reference details


Author(s) Year Title Reference View/Download

Les Hatton

2012g1

Power-Laws and the Conservation of Information in discrete token systems: Part 1 General Theory

ArXiV 1207.5027arxiv_jul2012_hatton.pdf

Synopsis and invited feedback

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Synopsis Invited Feedback Importance (/10, author rated :-) )
One of a pair of papers which demonstrate that the conservation of information in discrete systems such as software acts as a hidden clockwork forcing component size distributions, (functions etc.) to follow the same power-law distribution whoever built them. whatever they do and whatever technology they use.

As of 2013, the resulting predicted power-law distribution has been validated on 100 million lines of code to no less than 8 sigma, which is 3 more than the Higgs boson at the time of writing. Its pretty likely to be true then.

None yet10

Related links

Related papers and links

http://arxiv.org/abs/1207.5027


Auto-generated: $Revision: 1.58 $, $Date: 2016/01/03 19:07:28 $, Copyright Les Hatton 2001-