Título: Stochastic FitzHugh-Nagumo equations on networks with impulsive noise
Autores: Bonaccorsi, Stefano; Università di Trento
Marinelli, Carlo; Universität Bonn
Ziglio, Giacomo; Università di Trento
Fecha: 2008-01-01
Publicador: Electronic journal of probability
Fuente:
Tipo: Peer-reviewed Article

Tema: Stochastic PDEs, FitzHugh-Nagumo equation, Lévy processes, maximal monotone operators
60H15, 60J75, 47H06, 92C20
Descripción: We consider a system of nonlinear partial differential equations with stochastic dynamical boundary conditions that arises in models of neurophysiology for the diffusion of electrical potentials through a finite network of neurons. Motivated by the discussion in the biological literature, we impose a general diffusion equation on each edge through a generalized version of the FitzHugh-Nagumo model, while the noise acting on the boundary is described by a generalized stochastic Kirchhoff law on the nodes. In the abstract framework of matrix operators theory, we rewrite this stochastic boundary value problem as a stochastic evolution equation in infinite dimensions with a power-type nonlinearity, driven by an additive Lévy noise. We prove global well-posedness in the mild sense for such stochastic partial differential equation by monotonicity methods.
Idioma: No aplica

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