On One-Dimensional Stochastic Equations Driven by Symmetric Stable Processes

2010 ◽  
Vol 53 (3) ◽  
pp. 503-515
Author(s):  
V. P. Kurenok

AbstractUsing the time change method we show how to construct a solution to the stochastic equation dXt = b(Xt–)dZt + a(Xt )dt with a nonnegative drift a provided there exists a solution to the auxililary equation dLt = [a–1/αb](Lt–) + dt where Z, ¯ are two symmetric stable processes of the same index α ∈ (0, 2]. This approach allows us to prove the existence of solutions for both stochastic equations for the values 0 < α < 1 and only measurable coefficients a and b satisfying some conditions of boundedness. The existence proof for the auxililary equation uses the method of integral estimates in the sense of Krylov.


2020 ◽  
Vol 296 (3-4) ◽  
pp. 1135-1155 ◽  
Author(s):  
Jamil Chaker

Abstract We study harmonic functions associated to systems of stochastic differential equations of the form $$dX_t^i=A_{i1}(X_{t-})dZ_t^1+\cdots +A_{id}(X_{t-})dZ_t^d$$ d X t i = A i 1 ( X t - ) d Z t 1 + ⋯ + A id ( X t - ) d Z t d , $$i\in \{1,\dots ,d\}$$ i ∈ { 1 , ⋯ , d } , where $$Z_t^j$$ Z t j are independent one-dimensional symmetric stable processes of order $$\alpha _j\in (0,2)$$ α j ∈ ( 0 , 2 ) , $$j\in \{1,\dots ,d\}$$ j ∈ { 1 , ⋯ , d } . In this article we prove Hölder regularity of bounded harmonic functions with respect to solutions to such systems.


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