A Fractional Diffusion Model with Resetting

  • Ercília SousaEmail author
  • Amal K. Das
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11386)


We consider a model that serves as a paradigm for a class of search strategies in which the searcher having explored its environment unsuccessfully for a while, returns to its initial position and begins a new search. The model describes the diffusive motion of a particle, performing a random walk with Lévy distributed jump lengths, which is interrupted at random times when the particle is reset to its initial position. A numerical method is proposed to determine the solutions of this diffusive problem with resetting. The influence of resetting on the solutions is analysed and physical quantities such as the pseudo second moment will be discussed.


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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.CMUC, Department of MathematicsUniversity of CoimbraCoimbraPortugal
  2. 2.Department of PhysicsDalhousie UniversityHalifaxCanada

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