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Iterated elastic Brownian motions and fractional diffusion equations

Author

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  • Beghin, Luisa
  • Orsingher, Enzo

Abstract

Fractional diffusion equations of order [nu][set membership, variant](0,2) are examined and solved under different types of boundary conditions. In particular, for the fractional equation on the half-line [0,+[infinity]) and with an elastic boundary condition at x=0, we are able to provide the general solution in terms of the density of the elastic Brownian motion. This permits us, for equations of order , to write the solution as the density of the process obtained by composing the elastic Brownian motion with the (n-1)-times iterated Brownian motion. Also the limiting case for n-->[infinity] is investigated and the explicit form of the solution is expressed in terms of exponentials. Moreover, the fractional diffusion equations on the half-lines [0,+[infinity]) and (-[infinity],a] with additional first-order space derivatives are analyzed also under reflecting or absorbing conditions. The solutions in this case lead to composed processes with general form , where only the driving process is affected by drift, while the role of time is played by iterated Brownian motion In-1.

Suggested Citation

  • Beghin, Luisa & Orsingher, Enzo, 2009. "Iterated elastic Brownian motions and fractional diffusion equations," Stochastic Processes and their Applications, Elsevier, vol. 119(6), pages 1975-2003, June.
  • Handle: RePEc:eee:spapps:v:119:y:2009:i:6:p:1975-2003
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    Cited by:

    1. Beghin, Luisa, 2018. "Fractional diffusion-type equations with exponential and logarithmic differential operators," Stochastic Processes and their Applications, Elsevier, vol. 128(7), pages 2427-2447.
    2. D’Ovidio, Mirko, 2012. "From Sturm–Liouville problems to fractional and anomalous diffusions," Stochastic Processes and their Applications, Elsevier, vol. 122(10), pages 3513-3544.
    3. Antonio Di Crescenzo & Barbara Martinucci & Shelemyahu Zacks, 2018. "Telegraph Process with Elastic Boundary at the Origin," Methodology and Computing in Applied Probability, Springer, vol. 20(1), pages 333-352, March.

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