Publication | Open Access
Poisson-Type Processes Governed by Fractional and Higher-Order Recursive Differential Equations
86
Citations
26
References
2010
Year
Fractional-order SystemIntegrable ProbabilityPoisson-type ProcessesPoisson ProcessLevy ProcessFractional ExtensionsProbability TheoryAnomalous DiffusionFractional StochasticsRecursive Differential EquationFractional Dynamic
We consider some fractional extensions of the recursive differential equation governing the Poisson process, i.e. $\partial_tp_k(t)=-\lambda(p_k(t)-p_{k-1}(t))$, $k\geq0$, $t>0$ by introducing fractional time-derivatives of order $\nu,2\nu,\ldots,n\nu$. We show that the so-called "Generalized Mittag-Leffler functions" $E_{\alpha,\beta^k}(x)$, $x\in\mathbb{R}$ (introduced by Prabhakar [24] )arise as solutions of these equations. The corresponding processes are proved to be renewal, with density of the intearrival times (represented by Mittag-Leffler functions) possessing power, instead of exponential, decay, for $t\to\infty$. On the other hand, near the origin the behavior of the law of the interarrival times drastically changes for the parameter $\nu$ varying in $(0,1]$. For integer values of $\nu$, these models can be viewed as a higher-order Poisson processes, connected with the standard case by simple and explict relationships.
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