Nature’s Patterns and the Fractional Calculus

Bruce J. West

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English

De Gruyter
11 September 2017

Algebra; Complex analysis, complex variables; Applied mathematics; Human biology

Series: Fractional Calculus in Applied Sciences and Engineering

Complexity increases with increasing system size in everything from organisms to organizations. The nonlinear dependence of a system’s functionality on its size, by means of an allometry relation, is argued to be a consequence of their joint dependency on complexity (information). In turn, complexity is proven to be the source of allometry and to provide a new kind of force entailed by a system‘s information gradient. Based on first principles, the scaling behavior of the probability density function is determined by the exact solution to a set of fractional differential equations. The resulting lowest order moments in system size and functionality gives rise to the empirical allometry relations. Taking examples from various topics in nature, the book is of interest to researchers in applied mathematics, as well as, investigators in the natural, social, physical and life sciences.

Contents Complexity Empirical allometry Statistics, scaling and simulation Allometry theories Strange kinetics Fractional probability calculus

By: Bruce J. West
Imprint: De Gruyter
Country of Publication: Germany
Volume: 2
Dimensions: Height: 240mm, Width: 170mm, Spine: 13mm
Weight: 505g
ISBN: 9783110534115
ISBN 10: 3110534118
Series: Fractional Calculus in Applied Sciences and Engineering
Pages: 213
Publication Date: 11 September 2017
Audience: Professional and scholarly , Undergraduate , Undergraduate
Format: Hardback
Publisher's Status: Active

Table of Content: Chapter 1: Complexity Science 1.1 It started with physics 1.2 Complexity 1.3 Measures of size 1.4 Allometry heuristics 1.5 Overview Chapter 2: Empirical Allometry 2.1 Living networks 2.2 Physical networks 2.3 Natural history 2.4 Sociology 2.5 Summary Chapter 3 Statistics, Scaling and Simulation 3.1 Interpreting fluctuations 3.2 Phenomenological distributions 3.3 Are ARs universal? 3.4 Summary Chapter 4: Models & Derivations of ARs 4.1 Optimization principles 4.2 Scaling and allometry 4.3 Stochastic differential equations 4.4 Fokker-Planck equations 4.5 Summary Chapter 5: Complex and Strange Kinetics 5.1 Fractional thinking 5.2 Fractional rate equations 5.3 Fractional Poisson process 5.4 A closer look at complexity 5.5 Recapitulation 5.6 Appendix Chapter 6: Fractional Probability Calculus 6.1 Fractional Fokker-Planck equation 6.2 Fully fractional phase space equations 6.3 Entropy entails allometry 6.4 Statistics of allometry parameters 6.5 Discussion and conclusions 6.6 Epilogue

Bruce J. West, US Army Research Office, Cary, US