Project A5.1: Fokker-Planck-Kolmogorov equations on general state spaces
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Summary:
The aim of the project is to further extend the theory of Fokker-Planck-Kolmogorov equations oriented towards new applications with emphasis on passing to general state spaces, including besides infinite dimensional linear spaces, in particular, infinite dimensional manifolds, configuration spaces and finally also general metric measure spaces. The intrinsic feature of our approach is to formulate a Fokker-Planck Kolmogorov equation as a partial differential equation on measures, i.e. solutions are paths of (probability) measures. This is most natural and necessary on general state spaces since there is no intrinsic reference measure available on such spaces. The project consists of three parts: (I) Fokker--Planck--Kolmogorov equations and weak uniqueness of stochastic partial differential equations; (II) Degenerate local and nonlocal Fokker-Planck-Kolmogorov equations; (III) Nonlinear Fokker-Planck-Kolmogorov equations.
Recent Preprints:
23093
Marco Rehmeier PDF
Weighted $L^1$-semigroup approach for nonlinear Fokker–Planck equations and generalized Ornstein–Uhlenbeck processes
Project:
A5
X
Weighted $L^1$-semigroup approach for nonlinear Fokker–Planck equations and generalized Ornstein–Uhlenbeck processes
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21038
Viorel Barbu, Michael Röckner PDF
The invariance principle for nonlinear Fokker–Planck equations
Project:
A5
Published: Journal of Differential Equations 315 (2022), 200–221
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The invariance principle for nonlinear Fokker–Planck equations
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21012
Herbert Dawid, Martin Friesen, Oleksandr Kutoviy, Michael Röckner PDF
Mean-field analysis of industry dynamics under financial constraints
Project:
A5, B1, C2
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Mean-field analysis of industry dynamics under financial constraints
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20124
Panpan Ren, Feng-Yu Wang PDF
Exponential Convergence in Entropy and Wasserstein for McKean-Vlasov SDEs
Project:
A5
To appear: Nonlinear Analysis (2021)
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Exponential Convergence in Entropy and Wasserstein for McKean-Vlasov SDEs
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20110
Xing Huang, Feng-Yu Wang PDF
Well-Posedness for Singular McKean-Vlasov Stochastic Differential Equations
Project:
A5
X
Well-Posedness for Singular McKean-Vlasov Stochastic Differential Equations
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20091
Martin Dieckmann PDF
A Restricted Superposition Principle for (non-)linear Fokker–Planck–Kolmogorov Equations on Hilbert Spaces
Project:
A5, B1
To appear: Journal of Evolution Equations (2022)
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A Restricted Superposition Principle for (non-)linear Fokker–Planck–Kolmogorov Equations on Hilbert Spaces
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20090
Michael Röckner, Xicheng Zhang, Zimo Hao PDF
Euler Scheme for Density Dependent Stochastic Differential Equations
Project:
A5, B1
Published: Journal of Differential Equations 274 (2021), 996–1014
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Euler Scheme for Density Dependent Stochastic Differential Equations
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20072
Jianhai Bao, Panpan Ren, Feng-Yu Wang PDF
Bismut Formula for Lions Derivative of Distribution-Path Dependent SDEs
Project:
A5
X
Bismut Formula for Lions Derivative of Distribution-Path Dependent SDEs
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20071
Xing Huang, Feng-Yu Wang PDF
Derivative Estimates on Distributions of McKean-Vlasov SDEs
Project:
A5
X
Derivative Estimates on Distributions of McKean-Vlasov SDEs
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20070
Panpan Ren, Feng-Yu Wang PDF
Donsker-Varadhan Large Deviations for Path-Distribution Dependent SPDEs
Project:
A5
X
Donsker-Varadhan Large Deviations for Path-Distribution Dependent SPDEs
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All Publications of this Project
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