1 citations · 1 across the 5 of their papers we have counts for
7 papers
Well-posedness for time-fractional evolution equations by the Yosida approximation
S. E. Chorfi, F. Gölgeleyen, M. Yamamoto
We consider an initial value problem for a time-fractional evolution equation in a Hilbert space : $$ \partial_t^α (u(t)-a) = Au(t) \qquad \mbox{for $0<t<T$}, $$ where $\partial…
Inverse problems for time-fractional Schrödinger equations
S. E. Chorfi, F. Et-tahri, L. Maniar +1
We study some inverse problems for time-fractional Schrödinger equations involving the Caputo derivative of fractional order . We prove refined uniqueness results from…
Forward and backward problems for abstract time-fractional Schrödinger equations
S. E. Chorfi, F. Et-tahri, L. Maniar +1
We investigate forward and backward problems associated with abstract time-fractional Schrödinger equations , and $ν…
Global and local existence of solutions for nonlinear systems of time-fractional diffusion equations
Dian Feng, Masahiro Yamamoto
In this paper, we consider initial-boundary value problems for two-component nonlinear systems of time-fractional diffusion equations with the homogeneous Neumann boundary conditio…
Stability of backward-in-time semilinear coupled parabolic systems
S. E. Chorfi, M. Yamamoto
We consider backward problems for semilinear coupled parabolic systems in bounded domains. We prove conditional stability estimates for linear and semilinear systems of strongly co…
Logarithmic convexity of non-symmetric time-fractional diffusion equations
S. E. Chorfi, L. Maniar, M. Yamamoto
We consider a class of diffusion equations with the Caputo time-fractional derivative subject to the homogeneous Dirichlet boundary conditions. Here, we conside…
Blow-up for time-fractional diffusion equations with superlinear convex semilinear terms
Xinchi Huang, Yikan Liu, Masahiro Yamamoto
This article is concerned with a semilinear time-fractional diffusion equation with a superlinear convex semilinear term in a bounded domain with the homogeneous Dirichlet, Neu…