4.5 Article

UNIFORM IN TIME ESTIMATES FOR THE WEAK ERROR OF THE EULER METHOD FOR SDES AND A PATHWISE APPROACH TO DERIVATIVE ESTIMATES FOR DIFFUSION SEMIGROUPS

期刊

出版社

AMER MATHEMATICAL SOC
DOI: 10.1090/tran/8301

关键词

Stochastic differential equations; Euler method for SDEs; Markov semigroups; derivative estimates

资金

  1. UC3M-Santander Chair of Excellence grant
  2. Maxwell Institute Graduate School in Analysis and its Applications (MIGSAA), a Centre for Doctoral Training - UK Engineering and Physical Sciences Research Council [EP/L016508/01]
  3. Scottish Funding Council
  4. HeriotWatt University
  5. University of Edinburgh

向作者/读者索取更多资源

This research introduces a criterion for uniformly in time convergence of weak error in Euler scheme for stochastic differential equations, emphasizing the importance of exponential decay and bounds on moments. Lyapunov-type conditions are neither sufficient nor necessary for the convergence of weak error in the Euler approximation. Further study is needed to understand conditions for the validity of (i) in order to achieve uniform convergence of weak errors.
We present a criterion for uniform in time convergence of the weak error of the Euler scheme for Stochastic Differential equations (SDEs). The criterion requires (i) exponential decay in time of the space-derivatives of the semigroup associated with the SDE and (ii) bounds on (some) moments of the Euler approximation. We show by means of examples (and counterexamples) how both (i) and (ii) are needed to obtain the desired result. If the weak error converges to zero uniformly in time, then convergence of ergodic averages follows as well. We also show that Lyapunov-type conditions are neither sufficient nor necessary in order for the weak error of the Euler approximation to converge uniformly in time and clarify relations between the validity of Lyapunov conditions, (i) and (ii). Conditions for (ii) to hold are studied in the literature. Here we produce sufficient conditions for (i) to hold. The study of derivative estimates has attracted a lot of attention, however not many results are known in order to guarantee exponentially fast decay of the derivatives. Exponential decay of derivatives typically follows from coercive-type conditions involving the vector fields appearing in the equation and their commutators; here we focus on the case in which such coercive-type conditions are non-uniform in space. To the best of our knowledge, this situation is unexplored in the literature, at least on a systematic level. To obtain results under such space-inhomogeneous conditions we initiate a pathwise approach to the study of derivative estimates for diffusion semigroups and combine this pathwise method with the use of Large Deviation Principles.

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