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A Mathematical Model for Evolution and SETI

机译:进化和SETI的数学模型

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摘要

Darwinian evolution theory may be regarded as a part of SETI theory in that the factor fl in the Drake equation represents the fraction of planets suitable for life on which life actually arose. In this paper we firstly provide a statistical generalization of the Drake equation where the factor fl is shown to follow the lognormal probability distribution. This lognormal distribution is a consequence of the Central Limit Theorem (CLT) of Statistics, stating that the product of a number of independent random variables whose probability densities are unknown and independent of each other approached the lognormal distribution when the number of factors increased to infinity. In addition we show that the exponential growth of the number of species typical of Darwinian Evolution may be regarded as the geometric locus of the peaks of a one-parameter family of lognormal distributions (b-lognormals) constrained between the time axis and the exponential growth curve. Finally, since each b-lognormal distribution in the family may in turn be regarded as the product of a large number (actually “an infinity”) of independent lognormal probability distributions, the mathematical way is paved to further cast Darwinian Evolution into a mathematical theory in agreement with both its typical exponential growth in the number of living species and the Statistical Drake Equation.
机译:达尔文进化论可以被视为SETI理论的一部分,因为Drake方程中的因子fl 代表了适于实际生活的行星的比例。在本文中,我们首先提供了Drake方程的统计概括,其中因子fl 被证明遵循对数正态概率分布。该对数正态分布是统计的中心极限定理(CLT)的结果,该定理指出,当因子数目增加到无穷大时,概率密度未知且彼此独立的多个独立随机变量的乘积接近对数正态分布。 。此外,我们表明,达尔文进化的典型物种数量的指数增长可能被视为受时间轴和指数增长限制的对数正态分布(b-对数正态)一参数族的峰的几何轨迹。曲线。最后,由于该族中的每个b对数正态分布又可以看作是大量独立的对数正态概率分布(实际上是“无穷大”)的乘积,因此该数学方法为进一步将达尔文进化论转化为数学理论铺平了道路。与其在生物物种数量上的典型指数增长和统计Drake方程相吻合。

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