On the stability of matrix-valued Riccati diffusions
DEL MORAL, Pierre
Centre de Mathématiques Appliquées de l'Ecole polytechnique [CMAP]
Quality control and dynamic reliability [CQFD]
Institut de Mathématiques de Bordeaux [IMB]
Centre de Mathématiques Appliquées de l'Ecole polytechnique [CMAP]
Quality control and dynamic reliability [CQFD]
Institut de Mathématiques de Bordeaux [IMB]
DEL MORAL, Pierre
Centre de Mathématiques Appliquées de l'Ecole polytechnique [CMAP]
Quality control and dynamic reliability [CQFD]
Institut de Mathématiques de Bordeaux [IMB]
< Réduire
Centre de Mathématiques Appliquées de l'Ecole polytechnique [CMAP]
Quality control and dynamic reliability [CQFD]
Institut de Mathématiques de Bordeaux [IMB]
Langue
en
Article de revue
Ce document a été publié dans
Electronic Journal of Probability. 2019, vol. 24
Institute of Mathematical Statistics (IMS)
Résumé en anglais
The stability properties of matrix-valued Riccati diffusions are investigated. The matrix-valued Riccati diffusion processes considered in this work are of interest in their own right, as a rather prototypical model of a ...Lire la suite >
The stability properties of matrix-valued Riccati diffusions are investigated. The matrix-valued Riccati diffusion processes considered in this work are of interest in their own right, as a rather prototypical model of a matrix-valued quadratic stochastic process. Under rather natural observability and controllability conditions, we derive time-uniform moment and fluctuation estimates and exponential contraction inequalities. Our approach combines spectral theory with nonlinear semigroup methods and stochastic matrix calculus. This analysis seem to be the first of its kind for this class of matrix-valued stochastic differential equation. This class of stochastic models arise in signal processing and data assimilation, and more particularly in ensemble Kalman-Bucy filtering theory. In this context, the Riccati diffusion represents the flow of the sample covariance matrices associated with McKean-Vlasov-type interacting Kalman-Bucy filters. The analysis developed here applies to filtering problems with unstable signals.< Réduire
Mots clés en anglais
Ensemble filtering methods
Ensemble Kalman-Bucy filters
Matrix quadratic stochas-tic differential equations
Matrix Riccati diffusion equations
Matrix Riccati equations
Uniformfluctuation estimates
Uniform stability estimates.
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