Exponential ergodicity of the solutions to SDE's with a jump noise
Анотація
The mild sufficient conditions for exponential ergodicity of a Markov process, defined as the solution to SDE with a jump noise, are given. These conditions include three principal claims: recurrence condition R, topological irreducibility condition S and non-degeneracy condition N, the latter formulated in the terms of a certain random subspace of \Re^m, associated with the initial equation. The examples are given, showing that, in general, none of three principal claims can be removed without losing ergodicity of the process. The key point in the approach, developed in the paper, is that the local Doeblin condition can be derived from N and S via the stratification method and criterium for the convergence in variations of the family of induced measures on \Re^m.
Класифікація
Ідентифікатори
Рецензії (0)
Написати рецензіюРецензій ще немає. Будьте першим!
Схожі роботи
Wick calculus in Gaussian analysis
Схоже за: Stochastic processes and financial applications · Probabilistic and Robust Engineering Design
The Burgers-type equation driven by a stochastic measure
Схоже за: Stochastic processes and financial applications · Stability and Controllability of Differential Equations
Existence and uniqueness of mild solution to fractional stochastic heat equation
Схоже за: Stochastic processes and financial applications · Stability and Controllability of Differential Equations
Strong uniqueness of solutions of stochastic differential equations with jumps and non-Lipschitz random coefficients
Схоже за: Stochastic processes and financial applications · Stability and Controllability of Differential Equations
Heat equation and wave equation with general stochastic measures
Схоже за: Stochastic processes and financial applications · Stability and Controllability of Differential Equations
Stationary points in coalescing stochastic flows on <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e42" altimg="si3.svg"><mml:mi mathvariant="double-struck">R</mml:mi></mml:math>
Схоже за: Stochastic processes and financial applications · Stability and Controllability of Differential Equations