{"product_id":"nature-s-patterns-and-the-fractional-calculus-9783110534115","title":"Nature’s Patterns and the Fractional Calculus","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eComplexity 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. \u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eContents\u003cbr\u003e\u003c\/strong\u003eComplexity\u003cbr\u003eEmpirical allometry\u003cbr\u003eStatistics, scaling and simulation\u003cbr\u003eAllometry theories\u003cbr\u003eStrange kinetics\u003cbr\u003eFractional probability calculus \u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eTable of Content: \u003c\/p\u003e \u003cp\u003eChapter 1: Complexity Science \u003c\/p\u003e \u003cp\u003e1.1 It started with physics \u003c\/p\u003e \u003cp\u003e1.2 Complexity \u003c\/p\u003e \u003cp\u003e1.3 Measures of size \u003c\/p\u003e \u003cp\u003e1.4 Allometry heuristics \u003c\/p\u003e \u003cp\u003e1.5 Overview \u003c\/p\u003e \u003cp\u003eChapter 2: Empirical Allometry \u003c\/p\u003e \u003cp\u003e2.1 Living networks \u003c\/p\u003e \u003cp\u003e2.2 Physical networks \u003c\/p\u003e \u003cp\u003e2.3 Natural history \u003c\/p\u003e \u003cp\u003e2.4 Sociology \u003c\/p\u003e \u003cp\u003e2.5 Summary \u003c\/p\u003e \u003cp\u003eChapter 3 Statistics, Scaling and Simulation \u003c\/p\u003e \u003cp\u003e3.1 Interpreting fluctuations \u003c\/p\u003e \u003cp\u003e3.2 Phenomenological distributions \u003c\/p\u003e \u003cp\u003e3.3 Are ARs universal? \u003c\/p\u003e \u003cp\u003e3.4 Summary \u003c\/p\u003e \u003cp\u003eChapter 4: Models \u0026amp; Derivations of ARs \u003c\/p\u003e \u003cp\u003e4.1 Optimization principles \u003c\/p\u003e \u003cp\u003e4.2 Scaling and allometry \u003c\/p\u003e \u003cp\u003e4.3 Stochastic differential equations \u003c\/p\u003e \u003cp\u003e4.4 Fokker-Planck equations \u003c\/p\u003e \u003cp\u003e4.5 Summary \u003c\/p\u003e \u003cp\u003eChapter 5: Complex and Strange Kinetics \u003c\/p\u003e \u003cp\u003e5.1 Fractional thinking \u003c\/p\u003e \u003cp\u003e5.2 Fractional rate equations \u003c\/p\u003e \u003cp\u003e5.3 Fractional Poisson process \u003c\/p\u003e \u003cp\u003e5.4 A closer look at complexity \u003c\/p\u003e \u003cp\u003e5.5 Recapitulation \u003c\/p\u003e \u003cp\u003e5.6 Appendix \u003c\/p\u003e \u003cp\u003eChapter 6: Fractional Probability Calculus \u003c\/p\u003e \u003cp\u003e6.1 Fractional Fokker-Planck equation \u003c\/p\u003e \u003cp\u003e6.2 Fully fractional phase space equations \u003c\/p\u003e \u003cp\u003e6.3 Entropy entails allometry \u003c\/p\u003e \u003cp\u003e6.4 Statistics of allometry parameters \u003c\/p\u003e \u003cp\u003e6.5 Discussion and conclusions \u003c\/p\u003e \u003cp\u003e6.6 Epilogue \u003c\/p\u003e","brand":"De Gruyter","offers":[{"title":"Default Title","offer_id":53516555223383,"sku":"9783110534115","price":103.55,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/nature-s-patterns-and-the-fractional-calculus-9783110534115","provider":"Book Curl","version":"1.0","type":"link"}