Sinossi
Introduction
- main questions to be answered
- our approach
- what is meant with analytical
- why Lp-measure spaces with weights? Lebesgue measure too restrictive (... from the perspective of stochastics), e.g. there are unique invariant measures different to Lebesgue measure
- orientation towards weighted measure spaces (pre-invariant measures)
1. The Cauchy problem in Lp-spaces with weights
1.1 The abstract setting, existence
1.2 Existence and regularity of pre-invariant densities (class of admissible coefficients)
1.3 Uniqueness (Lp-uniqueness), regularity and analytic irreducibility of solutions to the CP
2. Stochastic Differential Equations
2.1 Existence
2.1.1 Construction of a Markov process corresponding to a regularized version of the solution to the Cauchy problem
2.1.2. Main tools: Krylov type estimate of additive functionals $\mathbb{E}_x[\int_0^t f(X_s)ds]$
2.1.3. Identification of weak solutions to SDEs (or identification of the SDE weakly solved by ...)
2.2 Global properties
2.2.1 Non-explosion and moment inequalities
2.2.2 Irreducibility, transience and recurrence
2.2.3 Long time behavior: Ergodicity, existence and uniqueness of invariant measures, examples/counterexamples
2.3 Uniqueness
2.3.1 Pathwise uniqueness and strong solutions
2.3.2 Uniqueness in law (via the martingale problem)
2.4 Further topics (convergence, approximation)
Outlook
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.