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Using Gaussian stochastic analysis to solve a chemical diffusion master equation

Jun 02, 2022 | 02:00 PM

Alberto Lanconelli (Università di Bologna)

We propose a novel method to solve a chemical diffusion master equation of birth and death type. This is an infinite system of Fokker-Planck equations where the different components are coupled by reaction dynamics similar in form to a chemical master equation. This system was proposed in a recent paper by M. J. del Razo et al. for modelling the probabilistic evolution of chemical reaction kinetics associated with spatial diffusion of individual particles. Using some basic tools and ideas from infinite dimensional Gaussian analysis we are able to reformulate the aforementioned infinite system of Fokker-Planck equations as a single evolution equation solved by a generalized stochastic process and written in terms of Malliavin derivatives and differential second quantization operators. Via this alternative representation we link certain finite dimensional projections of the solution of the original problem to the solution of a single partial differential equations of Ornstein-Uhlenbeck type containing as many variables as the dimension of the aforementioned projection space. Our approach resembles and to some extents generalizes the classical generating function method utilized for solving certain chemical master equations.

Time & Location

Jun 02, 2022 | 02:00 PM

SR 031 (Arnimallee 7)

This hybrid event will also be broadcast via Zoom. The meeting link will be posted here one day in advance.