Langevin equation in complex media and anomalous diffusion
The problem of biological motion is a very intriguing and topical issue. Many efforts are
being focused on the development of novel modelling approaches for the description of …
being focused on the development of novel modelling approaches for the description of …
[HTML][HTML] The fractional Tikhonov regularization methods for identifying the initial value problem for a time-fractional diffusion equation
F Yang, Q Pu, XX Li - Journal of Computational and Applied Mathematics, 2020 - Elsevier
In this paper, we identify the initial value for a time-fractional diffusion equation on a
columnar axis-symmetric domain. This problem is ill-posed, ie, the solution (if it exists) does …
columnar axis-symmetric domain. This problem is ill-posed, ie, the solution (if it exists) does …
The Fokker–Planck equation of the superstatistical fractional Brownian motion with application to passive tracers inside cytoplasm
By collecting from literature data experimental evidence of anomalous diffusion of passive
tracers inside cytoplasm, and in particular of subdiffusion of mRNA molecules inside live …
tracers inside cytoplasm, and in particular of subdiffusion of mRNA molecules inside live …
[HTML][HTML] Time fractional Poisson equations: Representations and estimates
In this paper, we study existence and uniqueness of strong as well as weak solutions for
general time fractional Poisson equations. We show that there is an integral representation …
general time fractional Poisson equations. We show that there is an integral representation …
Stochastic solutions of generalized time-fractional evolution equations
C Bender, YA Butko - Fractional Calculus and Applied Analysis, 2022 - Springer
We consider a general class of integro-differential evolution equations which includes the
governing equation of the generalized grey Brownian motion and the time-and space …
governing equation of the generalized grey Brownian motion and the time-and space …
[HTML][HTML] On semi-Markov processes and their Kolmogorov's integro-differential equations
E Orsingher, C Ricciuti, B Toaldo - Journal of Functional Analysis, 2018 - Elsevier
Semi-Markov processes are a generalization of Markov processes since the exponential
distribution of time intervals is replaced with an arbitrary distribution. This paper provides an …
distribution of time intervals is replaced with an arbitrary distribution. This paper provides an …
Centre-of-mass like superposition of Ornstein–Uhlenbeck processes: A pathway to non-autonomous stochastic differential equations and to fractional diffusion
We consider an ensemble of Ornstein–Uhlenbeck processes featuring a population of
relaxation times and a population of noise amplitudes that characterize the heterogeneity of …
relaxation times and a population of noise amplitudes that characterize the heterogeneity of …
Semi-Markov processes, integro-differential equations and anomalous diffusion-aggregation
Dans cet article, les équations de Volterra intégro-différentielles dont le noyau de
convolution dépend de la variable vectorielle sont considérées et une relation entre ces …
convolution dépend de la variable vectorielle sont considérées et une relation entre ces …
Numerical scheme for Erdélyi–Kober fractional diffusion equation using Galerkin–Hermite method
Ł Płociniczak, M Świtała - Fractional Calculus and Applied Analysis, 2022 - Springer
The aim of this work is to devise and analyse an accurate numerical scheme to solve Erdélyi–
Kober fractional diffusion equation. This solution can be thought as the marginal pdf of the …
Kober fractional diffusion equation. This solution can be thought as the marginal pdf of the …
Generalized Fokker–Planck equation for superstatistical systems
C Runfola, G Pagnini - Physica D: Nonlinear Phenomena, 2024 - Elsevier
Superstatistical systems are non-equilibrium systems in stationary states with large
fluctuations of intensive quantities. Different effective statistical processes follow accordingly …
fluctuations of intensive quantities. Different effective statistical processes follow accordingly …