2022
DOI: 10.48550/arxiv.2204.12926
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Strong rate of convergence of the Euler scheme for SDEs with irregular drift driven by Levy noise

Abstract: We study the strong rate of convergence of the Euler-Maruyama scheme for a multidimensional stochastic differential equation (SDE)with irregular β-Hölder drift, β > 0, driven by a Lévy process with exponent α ∈ (0, 2]. For α ∈ [2/3, 2] we obtain strong L p and almost sure convergence rates in the whole range β > 1 − α/2, where the SDE is known to be strongly well-posed. This significantly improves the current state of the art both in terms of convergence rate and the range of α. In particular, the obtained con… Show more

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Cited by 2 publications
(2 citation statements)
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References 13 publications
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“…Thus, parameter H ∈ (1/2, 1) "morally" corresponds to 1/α. Therefore, if one repeats the strategy of the proof of Theorem 2.6(i) for an α-stable process instead of fractional Brownian motion (with appropriate modifications due to the discontinuity of L α , see, e.g., [BDG22]) one would get the following condition for weak existence of a solution to Eq(x; b) with the driving noise L α in place of (ii) let (X, W H ) be any weak regularized solution to equation (1.1) in the class BV.…”
Section: Resultsmentioning
confidence: 99%
“…Thus, parameter H ∈ (1/2, 1) "morally" corresponds to 1/α. Therefore, if one repeats the strategy of the proof of Theorem 2.6(i) for an α-stable process instead of fractional Brownian motion (with appropriate modifications due to the discontinuity of L α , see, e.g., [BDG22]) one would get the following condition for weak existence of a solution to Eq(x; b) with the driving noise L α in place of (ii) let (X, W H ) be any weak regularized solution to equation (1.1) in the class BV.…”
Section: Resultsmentioning
confidence: 99%
“…In the case of presence of jumps, under standard assumptions, classical and jump-adapted Itô-Taylor approximations and Runge-Kutta methods are studied, e.g., in [11,12,44,2]. Approximation results for jump-diffusion SDEs under non-standard assumptions can be found, e.g., in [18,19,20,7,10,9,56,5,29,4,24,36]. Asymptotically optimal approximation rates are proven in [46,23,47,48,52,22].…”
Section: Introductionmentioning
confidence: 99%