The theory of Markov Processes has become a powerful tool in partial differential equations and potential theory with important applications to physics.
The theory of Markov Processes has become a powerful tool in partial differential equations and potential theory with important applications to physics.
1. Markov processes and related problems of analysis 2. Martin boundaries and non-negative solutions of a boundary value problem with a directional derivative 3. Boundary theory of Markov processes (the discrete case) 4. The initial and final behaviour of trajectories of Markov processes 5. Integral representation of excessive measures and excessive functions 6. Regular Markov processes 7 Markov representations of stochastic systems 8. Sufficient statistics and extreme points 9. Minimal excessive measures and functions.
1. Markov processes and related problems of analysis 2. Martin boundaries and non-negative solutions of a boundary value problem with a directional derivative 3. Boundary theory of Markov processes (the discrete case) 4. The initial and final behaviour of trajectories of Markov processes 5. Integral representation of excessive measures and excessive functions 6. Regular Markov processes 7 Markov representations of stochastic systems 8. Sufficient statistics and extreme points 9. Minimal excessive measures and functions.
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