Skip to main navigation Skip to search Skip to main content

Power laws from randomly sampled continuous-time random walks

  • Giancarlo Mosetti
  • , Giancarlo Jug
  • , Enrico Scalas

Research output: Contribution to journalArticlepeer-review

Abstract

It has been shown by Reed that random-sampling a Wiener process x (t) at times T chosen out of an exponential distribution gives rise to power laws in the distribution P (x (T)) ∼ x (T)- β. We show, both theoretically and numerically, that this power-law behaviour also follows by random-sampling Lévy flights (as continuous-time random walks), having Fourier distribution over(w, ^) (k) = e- | k |α, with the exponent β = α.

Original languageEnglish
Pages (from-to)233-238
Number of pages6
JournalPhysica A: Statistical Mechanics and its Applications
Volume375
Issue number1
DOIs
Publication statusPublished - 15 Feb 2007
Externally publishedYes

Keywords

  • Continuous-time random walks
  • Population dynamics
  • Power laws

Fingerprint

Dive into the research topics of 'Power laws from randomly sampled continuous-time random walks'. Together they form a unique fingerprint.

Cite this