Title data
Pioch, Kilian ; Kriecherbauer, Thomas ; Margaliot, Michael ; Grüne, Lars:
Model order reduction for the TASEP Master equation.
In: IFAC-PapersOnLine.
Vol. 58
(2024)
Issue 17
.
- pp. 109-114.
ISSN 2405-8963
DOI: https://doi.org/10.1016/j.ifacol.2024.10.122
This is the latest version of this item.
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Project information
Project title: |
Project's official title Project's id Analysis of Random Transport in Chains using Modern Tools from Systems and Control Theory GR 1569/24-1, KR 1673/7-1 |
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Project financing: |
Deutsche Forschungsgemeinschaft |
Abstract in another language
The totally asymmetric simple exclusion process (TASEP) is a stochastic model for the unidirectional dynamics of interacting particles on a 1D-lattice that is much used in systems biology and statistical physics. Its master equation describes the evolution of the probability distribution on the state space. The size of the master equation grows exponentially with the length of the lattice. It is known that the complexity of the system may be reduced using mean field approximations. We provide a rigorous derivation and a stochastic interpretation of these approximations and present numerical results on their accuracy for a number of relevant cases.
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Model order reduction for the TASEP Master equation. (deposited 20 Feb 2024 07:23)
- Model order reduction for the TASEP Master equation. (deposited 18 Nov 2024 11:11) [Currently Displayed]