斐波那契数列,生物模式中的对称性和有序性,它们的来源,信息起源和朗道尔原理

E. Bormashenko
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引用次数: 5

摘要

讨论了生物系统中周期和非周期排序(用斐波那契数列表示)的物理根源、例证和结果。物理和生物学的根源和作用的对称和不对称出现在生物模式。居里-诺伊曼原理应用于生物对象的概括,简要概括为:“不对称是创造生物现象的原因”。“自顶向下”和“自底向上”的方法来解释生物体的对称性提出并详细讨论。“自上而下”的方法意味着生物结构的对称性遵循该结构发挥作用的媒介的对称性;反过来,“自下而上”的方法承认生物结构的对称性来自于构成该结构的分子的对称性。介绍了适用于量化生物模式中顺序的各种数学度量。讨论了对称/有序的连续、Shannon和Voronoi测度及其在生物物体上的应用。讨论了“秩序”概念的精细结构。考虑了生物系统中固有秩序的信息/算法根源。有序/对称模式提供了生物信息的经济性,这对于生物实体的算法描述是必要的。讨论了兰道尔原理在生物系统中的应用,将物理学和信息论联系起来。
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Fibonacci Sequences, Symmetry and Order in Biological Patterns, Their Sources, Information Origin and the Landauer Principle
Physical roots, exemplifications and consequences of periodic and aperiodic ordering (represented by Fibonacci series) in biological systems are discussed. The physical and biological roots and role of symmetry and asymmetry appearing in biological patterns are addressed. A generalization of the Curie–Neumann principle as applied to biological objects is presented, briefly summarized as: “asymmetry is what creates a biological phenomenon”. The “top-down” and “bottom-up” approaches to the explanation of symmetry in organisms are presented and discussed in detail. The “top-down” approach implies that the symmetry of the biological structure follows the symmetry of the media in which this structure is functioning; the “bottom-up” approach, in turn, accepts that the symmetry of biological structures emerges from the symmetry of molecules constituting the structure. A diversity of mathematical measures applicable for quantification of order in biological patterns is introduced. The continuous, Shannon and Voronoi measures of symmetry/ordering and their application to biological objects are addressed. The fine structure of the notion of “order” is discussed. Informational/algorithmic roots of order inherent in the biological systems are considered. Ordered/symmetrical patterns provide an economy of biological information, necessary for the algorithmic description of a biological entity. The application of the Landauer principle bridging physics and theory of information to the biological systems is discussed.
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