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Evo-SETI: A Mathematical Tool for Cladistics, Evolution, and SETI.


ABSTRACT: The discovery of new exoplanets makes us wonder where each new exoplanet stands along its way to develop life as we know it on Earth. Our Evo-SETI Theory is a mathematical way to face this problem. We describe cladistics and evolution by virtue of a few statistical equations based on lognormal probability density functions (pdf) in the time. We call b-lognormal a lognormal pdf starting at instant b (birth). Then, the lifetime of any living being becomes a suitable b-lognormal in the time. Next, our "Peak-Locus Theorem" translates cladistics: each species created by evolution is a b-lognormal whose peak lies on the exponentially growing number of living species. This exponential is the mean value of a stochastic process called "Geometric Brownian Motion" (GBM). Past mass extinctions were all-lows of this GBM. In addition, the Shannon Entropy (with a reversed sign) of each b-lognormal is the measure of how evolved that species is, and we call it EvoEntropy. The "molecular clock" is re-interpreted as the EvoEntropy straight line in the time whenever the mean value is exactly the GBM exponential. We were also able to extend the Peak-Locus Theorem to any mean value other than the exponential. For example, we derive in this paper for the first time the EvoEntropy corresponding to the Markov-Korotayev (2007) "cubic" evolution: a curve of logarithmic increase.

SUBMITTER: Maccone C 

PROVIDER: S-EPMC5492140 | biostudies-literature | 2017 Apr

REPOSITORIES: biostudies-literature

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Evo-SETI: A Mathematical Tool for Cladistics, Evolution, and SETI.

Maccone Claudio C  

Life (Basel, Switzerland) 20170406 2


The discovery of new exoplanets makes us wonder <i>where</i> each new exoplanet <i>stands</i> along its way to develop life as we know it on Earth. Our Evo-SETI Theory is a mathematical way to face this problem. We describe cladistics and evolution by virtue of a few statistical equations based on lognormal probability density functions (pdf) <i>in the time</i>. We call <i>b</i>-lognormal a lognormal pdf starting at instant <i>b</i> (birth). Then, the lifetime of any living being becomes a suita  ...[more]

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