activity
20042025
most citedFractional Cauchy problems on bounded domains

217 citations · 1.1k across the 56 of their papers we have counts for

collaborators
Showing 2016 · math.PRShow all

7 papers · 2 filters

math.PR2016★ 30 cited

Path stability of the solution of stochastic differential equation driven by time-changed Lévy noises

Erkan Nane, Yinan Ni

This paper studies path stabilities of the solution to stochastic differential equations (SDE) driven by time-changed Lévy noise. The conditions for the solution of time-changed SD…

math.PR2016

Some non-existence results for a class of stochastic partial differential equations

Mohammud Foondun, Wei Liu, Erkan Nane

Consider the following stochastic partial differential equation, \begin{equation*} \partial_t u_t(x)= \mathcal{L}u_t(x)+ σ(u_t(x))\dot F(t,x)\quad{t>0}\quad\text{and}\quad x\in R^d…

math.PR2016

Stochastic solutions of Conformable fractional Cauchy problems

Yucel Cenesiz, Ali Kurt, Erkan Nane

In this paper we give stochastic solutions of conformable fractional Cauchy problems. The stochastic solutions are obtained by running the processes corresponding to Cauchy problem…

math.PR2016★ 1 cited

Inverse source problem for time fractional diffusion with discrete random noise

Tuan Nguyen Huy, Erkan Nane

In this paper, we deal with the inverse source problem of determining a source in a time fractional diffusion equation where data are given at a fixed time. This problem is ill-pos…

math.PR2016★ 7 cited

Some properties of non-linear fractional stochastic heat equations on bounded domains

Mohammud Foondun, Ngartelbaye Guerngar, Erkan Nane

Consider the following stochastic partial differential equation, \begin{equation*} \partial_t u_t(x)= \mathcal{L}u_t(x)+ ξσ(u_t(x)) \dot F(t,x), \end{equation*} where is a posi…

math.PR2016★ 1 cited

Stability of stochastic differential equation driven by time-changed Lévy noise

Erkan Nane, Yinan Ni

This paper studies stabilities of stochastic differential equation (SDE) driven by time-changed Lévy noise in both probability and moment sense. This provides more flexibility in m…