Stochastic FitzHugh-Nagumo equations on networks with impulsive noise

dc.creatorBonaccorsi, Stefano
dc.creatorMarinelli, Carlo
dc.creatorZiglio, Giacomo
dc.date2007-12-04
dc.date2008-08-09
dc.date.accessioned2026-07-07T09:55:29Z
dc.date.available2026-07-07T09:55:29Z
dc.descriptionWe 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.
dc.description18 pages. Minor revision
dc.identifierhttps://arxiv.org/abs/0712.0580
dc.identifierhttp://arxiv.org/abs/0712.0580
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/166645
dc.subjectAnalysis of PDEs
dc.subjectProbability
dc.titleStochastic FitzHugh-Nagumo equations on networks with impulsive noise
dc.typetext

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