Nature’s Patterns and the Fractional Calculus

Author:   Bruce J. West
Publisher:   De Gruyter
Volume:   2
ISBN:  

9783110534115


Pages:   213
Publication Date:   11 September 2017
Format:   Hardback
Availability:   In stock   Availability explained
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Nature’s Patterns and the Fractional Calculus


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Overview

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

Full Product Details

Author:   Bruce J. West
Publisher:   De Gruyter
Imprint:   De Gruyter
Volume:   2
Dimensions:   Width: 17.00cm , Height: 1.30cm , Length: 24.00cm
Weight:   0.505kg
ISBN:  

9783110534115


ISBN 10:   3110534118
Pages:   213
Publication Date:   11 September 2017
Audience:   Professional and scholarly ,  Professional & Vocational ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

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

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

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