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Stochastic Partial Differential Equations and Particle Systems

Grant number: 17/17670-0
Support type:Regular Research Grants
Duration: November 01, 2017 - October 31, 2019
Field of knowledge:Physical Sciences and Mathematics - Mathematics - Analysis
Principal researcher:Christian Horacio Olivera
Grantee:Christian Horacio Olivera
Home Institution: Instituto de Matemática, Estatística e Computação Científica (IMECC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
Assoc. researchers: Ciprian Tudor ; David Alexander Chipana Mollinedo ; Jean-François Claude Colombeau ; Jorge Clarke ; Marielle Simon ; Pedro Jose Catuogno
Associated grant(s):18/15258-7 - Approximation of partial differential equations by stochastic particle systems with weak and moderate interaction, AP.R SPRINT

Abstract

This research project presents in a global way the research interests of the proponent team. In fact, we are interested in studying existence, uniqueness and regularity in the law of stochastic partial differential equations.Another important part of the project is to study the propagation of chaos of particle systems with moderate interaction. (AU)

Articles published in Agência FAPESP Newsletter about the research grant:
Articles published in other media outlets (0 total):
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VEICULO: TITULO (DATA)

Scientific publications (12)
(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)
NEVES, WLADIMIR; OLIVERA, CHRISTIAN. Initial-boundary value problem for stochastic transport equations. STOCHASTICS AND PARTIAL DIFFERENTIAL EQUATIONS-ANALYSIS AND COMPUTATIONS, v. 9, n. 3, p. 674-701, SEP 2021. Web of Science Citations: 0.
OLIVERA, CHRISTIAN. Probabilistic representation for mild solution of the Navier-Stokes equations. MATHEMATICAL RESEARCH LETTERS, v. 28, n. 2, p. 563-573, 2021. Web of Science Citations: 0.
NEVES, WLADIMIR; OLIVERA, CHRISTIAN. Initial-boundary value problem for stochastic transport equations. STOCHASTICS AND PARTIAL DIFFERENTIAL EQUATIONS-ANALYSIS AND COMPUTATIONS, SEP 2020. Web of Science Citations: 0.
OLIVERA, CHRISTIAN; SHAMAROVA, EVELINA. Gaussian density estimates for solutions of fully coupled forward-backward SDEs. Mathematische Nachrichten, v. 293, n. 8, p. 1554-1564, AUG 2020. Web of Science Citations: 0.
OLIVERA, CHRISTIAN. Well-posedness of the non-local conservation law by stochastic perturbation. MANUSCRIPTA MATHEMATICA, v. 162, n. 3-4, p. 367-387, JUL 2020. Web of Science Citations: 0.
CLARKE, JORGE; OLIVERA, CHRISTIAN. LOCAL L-p-SOLUTION FOR SEMILINEAR HEAT EQUATION WITH FRACTIONAL NOISE. ANNALES ACADEMIAE SCIENTIARUM FENNICAE-MATHEMATICA, v. 45, p. 305-312, 2020. Web of Science Citations: 0.
OLIVERA, CHRISTIAN; TUDOR, CIPRIAN. Density for solutions to stochastic differential equations with unbounded drift. BRAZILIAN JOURNAL OF PROBABILITY AND STATISTICS, v. 33, n. 3, p. 520-531, AUG 2019. Web of Science Citations: 0.
OLIVERA, CHRISTIAN. Regularization by Noise in One-Dimensional Continuity Equation. POTENTIAL ANALYSIS, v. 51, n. 1, p. 23-35, JUL 2019. Web of Science Citations: 0.
OLIVERA, CHRISTIAN; TUDOR, CIPRIAN A. Existence and Besov regularity of the density for a class of SDEs with Volterra noise. COMPTES RENDUS MATHEMATIQUE, v. 357, n. 7, p. 636-645, JUL 2019. Web of Science Citations: 0.
FERRARIO, BENEDETTA; OLIVERA, CHRISTIAN. 2D Navier-Stokes equation with cylindrical fractional Brownian noise. Annali di Matematica Pura ed Applicata, v. 198, n. 3, p. 1041-1067, JUN 2019. Web of Science Citations: 0.
MOLLINEDO, DAVID A. C.; OLIVERA, CHRISTIAN; TUDOR, CIPRIAN A. Existence and Smoothness of the Density for the Stochastic Continuity Equation. Results in Mathematics, v. 74, n. 1 MAR 2019. Web of Science Citations: 0.
FERRARIO, BENEDETTA; OLIVERA, CHRISTIAN. L-p-solutions of the Navier-Stokes equation with fractional Brownian noise. AIMS MATHEMATICS, v. 3, n. 4, p. 539-553, 2018. Web of Science Citations: 0.

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