Weak error on the densities for the Euler scheme of stable additive SDEs with H{\"o}lder drift
Mathis Fitoussi (LaMME), Stephane Menozzi (LaMME)

TL;DR
This paper investigates the weak error convergence of the Euler scheme applied to stable additive SDEs with Hölder continuous drift, showing a rate depending on the stability index and drift regularity.
Contribution
It introduces a randomized Euler scheme for stable SDEs and establishes the convergence rate of the weak error on densities.
Findings
Weak error on densities converges at rate (α + β - 1)/α.
Randomized Euler scheme effectively approximates densities of stable SDEs.
Convergence rate depends on stability index and drift regularity.
Abstract
We are interested in the Euler-Maruyama dicretization of the SDE dXt =b(t,Xt)dt+ dZt, X0 =xRd, where Zt is a symmetric isotropic d-dimensional -stable process, (1, 2] and the drift b L ([0,T],C(Rd,Rd)), (0,1), is bounded and H{\"o}lder regular in space. Using an Euler scheme with a randomization of the time variable, we show that, denoting \,:= + -- 1, the weak error on densities related to this discretization converges at the rate /.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
