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Mathematical model for adaptive evolution of populations based on a complex domain

机译:基于复杂域的种群适应性进化数学模型

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摘要

A mutation is ultimately essential for adaptive evolution in all populations. It arises all the time, but is mostly fixed by enzymes. Further, most do consider that the evolution mechanism is by a natural assortment of variations in organisms in line for random variations in their DNA, and the suggestions for this are overwhelming. The altering of the construction of a gene, causing a different form that may be communicated to succeeding generations, produced by the modification of single base units in DNA, or the deletion, insertion, or rearrangement of larger units of chromosomes or genes. This altering is called a mutation. In this paper, a mathematical model is introduced to this reality. The model describes the time and space for the evolution. The tool is based on a complex domain for the space. We show that the evolution is distributed with the hypergeometric function. The Boundedness of the evolution is imposed by utilizing the Koebe function.
机译:突变对于所有种群的适应性进化最终都是必不可少的。它一直存在,但主要由酶固定。此外,大多数人确实认为进化机制是由生物体的自然变异组成,以适应其DNA的随机变异,对此的建议是压倒性的。基因结构的改变,可能导致不同的形式,可以传递给后代,这是由DNA中单个碱基的修饰,或较大的染色体或基因的缺失,插入或重排所产生的。这种改变称为突变。在本文中,将数学模型引入了这一现实。该模型描述了演化的时间和空间。该工具基于空间的复杂域。我们证明了进化是随超几何函数分布的。利用Koebe函数强加了进化的有界性。

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