Analytic Theory of Itô-Stochastic Differential Equations with Non-smooth Coefficients

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This book provides analytic tools to describe local and global behavior of solutions to Itô-stochastic differential equations with non-degenerate Sobolev diffusion coefficients and locally integrable drift. Regularity theory of partial differential equations is applied to construct such solutions and to obtain strong Feller properties, irreducibility, Krylov-type estimates, moment inequalities, various types of non-explosion criteria, and long time behavior, e.g., transience, recurrence, and convergence to stationarity. The approach is based on the realization of the transition semigroup associated with the solution of a stochastic differential equation as a strongly continuous semigroup in the Lp-space with respect to a weight that plays the role of a sub-stationary or stationary density. This way we obtain in particular a rigorous functional analytic description of the generator of the solution of a stochastic differential equation and its full domain. The existence of such a weight is shown under broad assumptions on the coefficients. A remarkable fact is that although the weight may not be unique, many important results are independent of it. Given such a weight and semigroup, one can construct and further analyze in detail a weak solution to the stochastic differential equation combining variational techniques, regularity theory for partial differential equations, potential, and generalized Dirichlet form theory. Under classical-like or various other criteria for non-explosion we obtain as one of our main applications the existence of a pathwise unique and strong solution with an infinite lifetime. These results substantially supplement the classical case of locally Lipschitz or monotone coefficients.We further treat other types of uniqueness and non-uniqueness questions, such as uniqueness and non-uniqueness of the mentioned weights and uniqueness in law, in a certain sense, of the solution.

Author(s): Haesung Lee, Wilhelm Stannat, Gerald Trutnau
Series: SpringerBriefs in Probability and Mathematical Statistics
Publisher: Springer
Year: 2022

Language: English
Pages: 138
City: Singapore

Acknowledgments
Contents
Notations and Conventions
1 Introduction
1.1 Methods and Results
1.2 Organization of the Book
2 The Abstract Cauchy Problem in Lr-Spaces with Weights
2.1 The Abstract Setting, Existence and Uniqueness
2.1.1 Framework and Basic Notations
2.1.2 Existence of Maximal Extensions on Rd
2.1.2.1 Existence of Maximal Extensions on Relatively Compact Subsets VRd
2.1.2.2 Existence of Maximal Extensions on the Full Domain Rd
2.1.3 Uniqueness of Maximal Extensions on Rd
2.1.3.1 Uniqueness of (L, D(L0)0,b)
2.1.3.2 Uniqueness of (L, C0∞(Rd ))
2.2 Existence and Regularity of Densities to Infinitesimally Invariant Measures
2.2.1 Class of Admissible Coefficients and the Main Theorem
2.2.2 Proofs
2.2.3 Discussion
2.3 Regular Solutions to the Abstract Cauchy Problem
2.4 Irreducibility of Solutions to the Abstract Cauchy Problem
2.5 Comments and References to Related Literature
3 Stochastic Differential Equations
3.1 Existence
3.1.1 Regular Solutions to the Abstract Cauchy Problem as Transition Functions
3.1.2 Construction of a Hunt Process
3.1.3 Krylov-type Estimate
3.1.4 Identification of the Stochastic Differential Equation
3.2 Global Properties
3.2.1 Non-explosion Results and Moment Inequalities
3.2.2 Transience and Recurrence
3.2.3 Long Time Behavior: Ergodicity, Existence and Uniqueness of Invariant Measures, Examples/Counterexamples
3.3 Uniqueness
3.3.1 Pathwise Uniqueness and Strong Solutions
3.3.2 Uniqueness in Law (Via L1-Uniqueness)
3.4 Comments and References to Related Literature
4 Conclusion and Outlook
References
Index