148 citations
- Friedrich-Alexander-Universität Erlangen-NürnbergDE7 papers
- Ludwig-Maximilians-Universität MünchenDE7 papers
- Stockholm UniversitySE7 papers
- Ruhr University BochumDE6 papers
- University College LondonGB6 papers
- City University of Hong KongHK5 papers
- Consejo Superior de Investigaciones CientíficasES5 papers
- University of SalernoIT5 papers
- Centre National de la Recherche ScientifiqueFR4 papers
- Grupo de Física MatemáticaPT4 papers
- Hong Kong Polytechnic UniversityHK4 papers
- Saarland UniversityDE4 papers
11 papers · 1 filter
The wave equation with acoustic boundary conditions on non-locally reacting surfaces
Delio Mugnolo, Enzo Vitillaro
The aim of the paper is to study the problem in , on , $v_t =\partial_…
Quantum Hamiltonians with weak random abstract perturbation. II. Localization in the expanded spectrum
Denis Borisov, Matthias Täufer, Ivan Veselic
We consider multi-dimensional Schrödinger operators with a weak random perturbation distributed in the cells of some periodic lattice. In every cell the perturbation is described b…
Linear Hyperbolic Systems on Networks
Marjeta Kramar Fijavž, Delio Mugnolo, Serge Nicaise
We study hyperbolic systems of one-dimensional partial differential equations under general, possibly non-local boundary conditions. A large class of evolution equations, either on…
If time were a graph, what would evolution equations look like?
Amru Hussein, Delio Mugnolo
Linear evolution equations are considered usually for the time variable being defined on an interval where typically initial conditions or time-periodicity of solutions are require…
Higher order operators on networks: hyperbolic and parabolic theory
Federica Gregorio, Delio Mugnolo
We study higher-order elliptic operators on one-dimensional ramified structures (networks). We introduce a general variational framework for fourth-order operators that allows us t…
Analytic solutions for stochastic hybrid models of gene regulatory networks
Pavel Kurasov, Delio Mugnolo, Verena Wolf
Discrete-state stochastic models are a popular approach to describe the inherent stochasticity of gene expression in single cells. The analysis of such models is hindered by the fa…