STOPATT | Stochastic pattern formation in biochemical systems

Summary
There are basically three mechanisms for spatial pattern formation in systems of two coupled reaction-advection-diffusion equations; the Turing patterns, patterns created through reaction kinetics, and chemotaxis patterns. We are interested in the reaction-diffusion equation with underlying chemotaxis. The terminus chemotaxis refers to oriented movements of cells (or an organism) in response to a chemical gradient. The topic of the proposal to investigate the logistic grow equation with underlying chemotaxis. This system will be perturbed by a stochastic noise term, modelling neglected fluctuations or random perturbations from outside. The stochastic term leads to new phenomena, e.g. bifurcation are smeared out, metastability may happen, or sudden shifts to other, possible undesired, states. First, the existence and uniqueness of the solution should be investigated; then the long term behaviour will be analysed. Here, also the dynamical behaviour should be characterised. The third point, we will focus on is the numerical approximation of the system.
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/888255
Start date: 01-04-2020
End date: 29-01-2023
Total budget - Public funding: 186 167,04 Euro - 186 167,00 Euro
Cordis data

Original description

There are basically three mechanisms for spatial pattern formation in systems of two coupled reaction-advection-diffusion equations; the Turing patterns, patterns created through reaction kinetics, and chemotaxis patterns. We are interested in the reaction-diffusion equation with underlying chemotaxis. The terminus chemotaxis refers to oriented movements of cells (or an organism) in response to a chemical gradient. The topic of the proposal to investigate the logistic grow equation with underlying chemotaxis. This system will be perturbed by a stochastic noise term, modelling neglected fluctuations or random perturbations from outside. The stochastic term leads to new phenomena, e.g. bifurcation are smeared out, metastability may happen, or sudden shifts to other, possible undesired, states. First, the existence and uniqueness of the solution should be investigated; then the long term behaviour will be analysed. Here, also the dynamical behaviour should be characterised. The third point, we will focus on is the numerical approximation of the system.

Status

TERMINATED

Call topic

MSCA-IF-2019

Update Date

28-04-2024
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Horizon 2020
H2020-EU.1. EXCELLENT SCIENCE
H2020-EU.1.3. EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions (MSCA)
H2020-EU.1.3.2. Nurturing excellence by means of cross-border and cross-sector mobility
H2020-MSCA-IF-2019
MSCA-IF-2019