The probability density of landslide debris volumes observed in a mountain region is…

PHYSICS · Multi-part · Fermi University Physics · Mathematical Methods for Physics · Probability, statistics and stochastic methods · Probability, statistics and stochastic methods

Many Parts, One Behaviour, Ch Heavy tails: power laws and how to measure them

Problem

The probability density of landslide debris volumes VV observed in a mountain region is found to obey a strict self-similarity relation: for every scale factor b>0b>0 there is a function g(b)g(b), not depending on VV, such that p(bV)=g(b) p(V)p(bV) = g(b)\,p(V) whenever VV and bVbV both lie above the smallest volume the survey records, Vmin⁡>0V_{\min}>0. Assume pp is smooth above Vmin⁡V_{\min} and that there is no upper cutoff. ((a)) Differentiate the relation with respect to bb and set b=1b=1 to show that pp obeys V p′(V)=c p(V)V\,p'(V) = c\,p(V) for some constant cc, and solve this differential equation to find the general form of p(V)p(V). ((b)) Substitute your solution back into p(bV)=g(b)p(V)p(bV)=g(b)p(V) to show that g(b)=bcg(b) = b^{c} is forced, so above Vmin⁡V_{\min} a power law is the only density satisfying the relation. ((c)) Surveys show that a landslide of ten times the volume of a reference landslide has one-hundredth of its probability density. Find the exponent α\alpha in p(V)∝V−αp(V)\propto V^{-\alpha}, and state the value of cc.

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