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Generalized Fractional Nonlinear Birth Processes

机译:广义分数阶非线性出生过程

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We consider here generalized fractional versions of the difference-differential equation governing the classical nonlinear birth process. Orsingher and Polito (Bernoulli 16(3):858-881, 2010) defined a fractional birth process by replacing, in its governing equation, the first order time derivative with the Caputo fractional derivative of order upsilon is an element of (0, 1]. We study here a further generalization, obtained by adding in the equation some extra terms; as we shall see, this makes the expression of its solution much more complicated. Moreover we consider also the case upsilon is an element of (1, +infinity), as well as upsilon is an element of (0, 1], using correspondingly two different definitions of fractional derivative: we apply the fractional Caputo derivative and the right-sided fractional Riemann-Liouville derivative on R+, for upsilon is an element of (0, 1] and upsilon is an element of (1, +infinity), respectively. For the two cases, we obtain the exact solutions and prove that they coincide with the distribution of some subordinated stochastic processes, whose random time argument is represented by a stable subordinator (for upsilon is an element of (1, +infinity)) or its inverse (for upsilon is an element of (0, 1]).
机译:我们在这里考虑控制经典非线性出生过程的差分-差分方程的广义分数形式。 Orsingher和Polito(Bernoulli 16(3):858-881,2010)通过在其控制方程中将一阶时间导数替换为upsilon的Caputo分数导数来定义(0,1 ]。我们在这里研究进一步的概括,通过在方程中添加一些额外的项来获得;正如我们将看到的,这使得其解的表达变得更加复杂。此外,我们还考虑upsilon是(1,+ (无穷大),以及upsilon是(0,1]的元素,分别使用分数导数的两种不同定义:我们将分数Caputo导数和右侧分数Riemann-Liouville导数应用于R +,因为upsilon是元素(0,1]和upsilon分别是(1,+ infinity)的元素。对于这两种情况,我们获得了精确解,并证明它们与某些从属随机过程的分布一致,其随机时间参数为代表b y一个稳定的从属(对于upsilon是(1,+ infinity)的元素)或其反(对于upsilon是(0,1]的元素)。

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