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From interacting particle systems to topological data analysis

Grant number: 17/20696-0
Support type:Research Grants - Visiting Researcher Grant - International
Duration: February 14, 2018 - June 28, 2019
Field of knowledge:Physical Sciences and Mathematics - Probability and Statistics - Applied Probability and Statistics
Principal Investigator:Vladimir Belitsky
Grantee:Vladimir Belitsky
Visiting researcher: Gunter Markus Schütz
Visiting researcher institution: Forschungszentrum Jülich, Germany
Home Institution: Instituto de Matemática e Estatística (IME). Universidade de São Paulo (USP). São Paulo , SP, Brazil

Abstract

We first study duality in stochastic interacting particle systems. In contrast to previous work the main emphasis will be on particle systems with non-conserved internal degrees of freedom. Starting from the known symmetries of the intensity matrix, probabilistic, algebraic and combinatorial techniques will be employed to construct invariant measures, duality functions and shock measures, with a view also on a generalization of the second-class particle technique to mark the microscopic position of shocks. For the bricklayers' process we devise a reversed route starting from shock measures in order to uncover duality functions and the underlying symmetry. Then we go on to use expertise from non-reversible interacting particle systems to tackle convergence problems in persistent homology as used in the framework of topological data analysis. The idea is to use the super paramagnetic clustering to devise a non-reversible Markov chain that allows for the numerical computation of persistent homology and that exhibits fast convergence to a given measure on ensembles of simplicial complexes that are relevant for topological data analysis. The efficiency of this algorithm will be tested numerically on data sets with known topological properties. Moreover, it will be investigated whether there universal asymptotic properties of random null models that can serve for benchmarking purposes in the distinction of relevant information from noise. (AU)

Scientific publications (7)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
SCHUETZ, G. M. Duality from integrability: annihilating random walks with pair deposition. Journal of Physics A-Mathematical and Theoretical, v. 53, n. 35 SEP 4 2020. Web of Science Citations: 0.
SCHUETZ, G. M. On the stationary frequency of programmed ribosomal-1 frameshift. JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, v. 2020, n. 4 APR 2020. Web of Science Citations: 0.
DUTTA, ANNWESHA; SCHUETZ, GUNTER M.; CHOWDHURY, DEBASHISH. Stochastic thermodynamics and modes of operation of a ribosome: A network theoretic perspective. Physical Review E, v. 101, n. 3 MAR 3 2020. Web of Science Citations: 0.
BELITSKY, V; SCHUETZ, G. M. Duality, supersymmetry and non-conservative random walks. JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, MAY 2019. Web of Science Citations: 0.
BELITSKY, V.; SCHUETZ, G. M. RNA Polymerase interactions and elongation rate. Journal of Theoretical Biology, v. 462, p. 370-380, FEB 7 2019. Web of Science Citations: 2.
BELITSKY, V; SCHUETZ, G. M. Stationary RNA polymerase fluctuations during transcription elongation. Physical Review E, v. 99, n. 1 JAN 7 2019. Web of Science Citations: 0.
PECHERSKY, E.; PIROGOV, S.; SCHUETZ, G. M.; VLADIMIROV, A.; YAMBARTSEV, A. LARGE EMISSION REGIME IN MEAN FIELD LUMINESCENCE. MOSCOW MATHEMATICAL JOURNAL, v. 19, n. 1, p. 107-120, JAN-MAR 2019. Web of Science Citations: 0.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.