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Fractional Poisson processes and related planar random motions

机译:分数泊松过程和相关的平面随机运动

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We present three different fractional versions of the Poisson process and some related results concerning the distribution of order statistics and the compound Poisson process. The main version is constructed by considering the difference-differential equation governing the distribution of the standard Poisson process, $ N(t),t>0$, and by replacing the time-derivative with the fractional Dzerbayshan-Caputo derivative of order $uin(0,1]$. For this process, denoted by $mathcal{N}_u(t),t>0,$ we obtain an interesting probabilistic representation in terms of a composition of the standard Poisson process with a random time, of the form $mathcal{N}_u(t)= N(mathcal{T}_{2u}(t)),$ $t>0$. The time argument $mathcal{T}_{2u }(t),t>0$, is itself a random process whose distribution is related to the fractional diffusion equation. We also construct a planar random motion described by a particle moving at finite velocity and changing direction at times spaced by the fractional Poisson process $mathcal{N}_u.$ For this model we obtain the distributions of the random vector representing the position at time $t$, under the condition of a fixed number of events and in the unconditional case. For some specific values of $uin(0,1]$ we show that the random position has a Brownian behavior (for $u =1/2$) or a cylindrical-wave structure (for $u =1$).
机译:我们介绍了Poisson过程的三种不同的分数形式,以及有关阶次统计量和复合Poisson过程分布的一些相关结果。通过考虑控制标准Poisson过程分布的差异-微分方程$ N(t),t> 0 $并通过用阶次为 nu in(0,1] $。对于此过程,用$ mathcal {N} _ nu(t),t> 0,$表示,我们从标准泊松过程的组成方面获得了有趣的概率表示时间形式为$ mathcal {N} _ nu(t)= N( mathcal {T} _ {2 nu}(t))的随机时间,$ $ t> 0 $。 mathcal {T} _ {2 nu}(t),t> 0 $本身是一个随机过程,其分布与分数扩散方程有关,我们还构造了一个平面随机运动,该运动以有限速度运动的粒子描述在分数泊松过程$ mathcal {N} _ nu。$间隔的时间和方向上变化。对于该模型,我们获得了固定矢量为的情况下表示时间tt $处位置的随机矢量的分布。事件nd在无条件的情况下。对于$ nu in(0,1] $的某些特定值,我们表明随机位置具有布朗行为(对于$ nu = 1/2 $)或圆柱波结构(对于$ nu = 1 $)。

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