Mihály Kovács (Budapest/Gothenburg): Stochastic reaction–diffusion equations on networks

EINLADUNG ZUM OBERSEMINAR
ANALYSIS UND ANGEWANDTE MATHEMATIK
am Mittwoch, den 05.07.2023, um 15:15, in Raum 0421

Zoom Link:
https://uni-kassel.zoom.us/j/96217091997?pwd=RVRaVVBRclFJYU9jczNZSWF3SXI2QT09

Meeting ID: 962 1709 1997
Passcode: cauchy
 

Stochastic reaction–diffusion equations on networks

Prof. Mihály Kovács (Pázmány Péter Catholic University, Budapest)

Abstract:

We consider stochastic reaction–diffusion equations on a finite network represented by a finite graph. On each edge in the graph, a multiplicative cylindrical Gaussian noise-driven reaction–diffusion equation is given supplemented by a dynamic Kirchhoff-type law perturbed by multiplicative scalar Gaussian noise in the vertices. The reaction term on each edge is assumed to be an odd degree polynomial, not necessarily of the same degree on each edge, with possibly stochastic coefficients and negative leading term. We utilize the semigroup approach for stochastic evolution equations in Banach spaces to obtain existence and uniqueness of solutions with sample paths in the space of continuous functions on the graph.

This is a joint work with Eszter Sikolya (Eötvös Loránd University, Budapest).