47 research outputs found
Semi-Markov models and motion in heterogeneous media
In this paper we study continuous time random walks (CTRWs) such that the
holding time in each state has a distribution depending on the state itself.
For such processes, we provide integro-differential (backward and forward)
equations of Volterra type, exhibiting a position dependent convolution kernel.
Particular attention is devoted to the case where the holding times have a
power-law decaying density, whose exponent depends on the state itself, which
leads to variable order fractional equations. A suitable limit yields a
variable order fractional heat equation, which models anomalous diffusions in
heterogeneous media
Counting processes with Bern\v{s}tein intertimes and random jumps
We consider here point processes , , with independent increments
and integer-valued jumps whose distribution is expressed in terms of
Bern\v{s}tein functions with L\'evy measure . We obtain the general
expression of the probability generating functions of , the
equations governing the state probabilities of , and their
corresponding explicit forms. We also give the distribution of the
first-passage times of , and the related governing equation. We
study in detail the cases of the fractional Poisson process, the relativistic
Poisson process and the Gamma Poisson process whose state probabilities have
the form of a negative binomial. The distribution of the times
of jumps with height () under the condition for all these special processes is investigated in detail
Pseudoprocesses related to space-fractional higher-order heat-type equations
In this paper we construct pseudo random walks (symmetric and asymmetric)
which converge in law to compositions of pseudoprocesses stopped at stable
subordinators. We find the higher-order space-fractional heat-type equations
whose fundamental solutions coincide with the law of the limiting
pseudoprocesses. The fractional equations involve either Riesz operators or
their Feller asymmetric counterparts. The main result of this paper is the
derivation of pseudoprocesses whose law is governed by heat-type equations of
real-valued order . The classical pseudoprocesses are very special
cases of those investigated here
Population models at stochastic times
In this article, we consider time-changed models of population evolution
, where is a counting
process and is a subordinator with Laplace exponent . In the case
is a pure birth process, we study the form of the distribution,
the intertimes between successive jumps and the condition of explosion (also in
the case of killed subordinators). We also investigate the case where
represents a death process (linear or sublinear) and study the
extinction probabilities as a function of the initial population size .
Finally, the subordinated linear birth-death process is considered. A special
attention is devoted to the case where birth and death rates coincide; the
sojourn times are also analysed
Time-changed processes governed by space-time fractional telegraph equations
In this work we construct compositions of processes of the form
\bm{S}_n^{2\beta}(c^2 \mathpzc{L}^\nu (t) \r, t>0, \nu \in (0, 1/2], \beta \in
(0,1], n \in \mathbb{N}, whose distribution is related to space-time fractional
n-dimensional telegraph equations. We present within a unifying framework the
pde connections of n-dimensional isotropic stable processes \bm{S}_n^{2\beta}
whose random time is represented by the inverse \mathpzc{L}^\nu (t), t>0, of
the superposition of independent positively-skewed stable processes,
\mathpzc{H}^\nu (t) = H_1^{2\nu} (t) + (2\lambda \r^{\frac{1}{\nu}} H_2^\nu
(t), t>0, (H_1^{2\nu}, H_2^\nu, independent stable subordinators). As special
cases for n=1, \nu = 1/2 and \beta = 1 we examine the telegraph process T at
Brownian time B (Orsingher and Beghin) and establish the equality in
distribution B (c^2 \mathpzc{L}^{1/2} (t)) \stackrel{\textrm{law}}{=} T
(|B(t)|), t>0. Furthermore the iterated Brownian motion (Allouba and Zheng) and
the two-dimensional motion at finite velocity with a random time are
investigated. For all these processes we present their counterparts as Brownian
motion at delayed stable-distributed time.Comment: 34 page