Título: Stationary Solutions and Forward Equations for Controlled and Singular Martingale Problems
Autores: Kurtz, Thomas G.; University of Wisconsin, Madison
Stockbridge, Richard H.; University of Kentucky
Fecha: 2001-01-01
Publicador: Electronic journal of probability
Fuente:
Tipo: Peer-reviewed Article

Tema: Mathematics
singular controls, stationary processes, Markov processes, martingale problems, forward equations, constrained Markov processes.
Primary: 60J35, 93E20 Secondary: 60G35, 60J25.
Descripción: Stationary distributions of Markov processes can typically be characterized as probability measures that annihilate the generator in the sense that for ; that is, for each such , there exists a stationary solution of the martingale problem for A with marginal distribution . This result is extended to models corresponding to martingale problems that include absolutely continuous and singular (with respect to time) components and controls. Analogous results for the forward equation follow as a corollary.
Idioma: Inglés

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