Searcharxiv⌕ Search

arXiv subjects

McSylvester Ejighikeme Omaba

Publications and source records attributed to McSylvester Ejighikeme Omaba.

2 recordsLinked to original sources

Asymptotic behavior of solution and non-existence of global solution to a class of conformable time-fractional stochastic equation

Consider the following class of conformable time-fractional stochastic equation $$T_{α,t}^a u(x,t)=λσ(u(x,t))\dot{W}_t,\,\,\,\,x\in\mathbb{R},\,t\in[a,\infty), \,\,0<α<1,$$ with a non-random initial condition $u(x,0)=u_0(x),\,x\in\mathbb{R}$ assumed to be non-negative and bounded, $T_{α,t}^a$ is a conformable time - fractional derivative, $σ:\mathbb{R}\rightarrow\mathbb{R}$ is globally Lipschitz continuous, $\dot{W}_t$ a generalized derivative of Wiener process and $λ>0$ is the noise level. Given some precise and suitable conditions on the non-random initial function, we study the asymptotic behaviour of the solution with respect to the time parameter $t$ and the noise level parameter $λ$. We also show that when the non-linear term $σ$ grows faster than linear, the energy of the solution blows-up at finite time for all $α\in (0,1)$.

math.PR↗

Weak Nonmild Solution of Stochastic Fractional Porous Medium Equation

Consider the non-linear stochastic fractional-diffusion equation \begin{eqnarray*} \left \{\begin{array}{lll} \frac{\partial}{\partial t}u(x,t)= -( Δ)^{α/2} u^m(x,t) + σ(u(x,t)) \dot{W}(x,t),\, x\in \mathbb{R}^d,t>0, u(x,0)= u_0(x),\,\,\, x\in\mathbb{R}^d \end{array}\right. \end{eqnarray*} with initial data $u_0(x)$ an $L^1(\mathbb{R}^d)$ function, $0<α<2$, and $m>0$. There is no mild solution defined for the above equation because its corresponding heat kernel representation does not exist. We attempt to make sense of the above equation by establishing the existence and uniqueness result via the reproducing kernel Hilbert space (RKHS) of the space-time noise. Our result shows the effect of a space-time white noise on the interaction of fractional operators with porous medium type propagation and consequently studies how the anomalous diffusion parameters influence the energy moment growth behaviour of the system.

math.PR↗