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PreprintCC BY-NC-ND 4.0HAL

Consistency and Convergence of the Backward-Euler Scheme for Stochastic Functional Differential Equations Driven by Fractional Brownian Motion

Abstract

We study the backward-Euler scheme for a class of stochastic functional differential equations (SFDEs) with memory driven by a fractional Brownian motion with Hurst parameter H > 1/2. We first establish the local consistency of the method, with a local truncation error of order H -ρ- β + 1, and then, as the main result, prove the uniform global pathwise convergence of the numerical approximation, on a set of probability one, with order H -ρ -β, for β ∈ (1-H, 1/2) and 0 < ρ < H -β. A uniform high-probability formulation with deterministic constants follows as a corollary. In particular, the convergence order can be taken arbitrarily close to 2H -1, matching the order obtained for the explicit Euler scheme. The convergence proof relies on an exact integral representation of the scheme at mesh points, an a priori bound for the numerical solution, fractional calculus estimates, and a Gronwall inequality for weakly singular kernels.

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BibTeX
@misc{abreu2026consistency,
  title = {{Consistency and Convergence of the Backward-Euler Scheme for Stochastic Functional Differential Equations Driven by Fractional Brownian Motion}},
  author = {Alexander Abreu and Lisandro Fermin and Ernesto Mordecki and Soledad Torres},
  howpublished = {HAL},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.37019},
  eprint = {2609.37019},
  archivePrefix = {arXiv},
  url = {https://hal.science/hal-05768392v1},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - UNPB
TI  - Consistency and Convergence of the Backward-Euler Scheme for Stochastic Functional Differential Equations Driven by Fractional Brownian Motion
AU  - Alexander Abreu
AU  - Lisandro Fermin
AU  - Ernesto Mordecki
AU  - Soledad Torres
PY  - 2026
DA  - 2026/09/29
PB  - HAL
DO  - 10.48550/arxiv.2609.37019
UR  - https://hal.science/hal-05768392v1
AB  - We study the backward-Euler scheme for a class of stochastic functional differential equations (SFDEs) with memory driven by a fractional Brownian motion with Hurst parameter H > 1/2. We first establish the local consistency of the method, with a local truncation error of order H -ρ- β + 1, and then, as the main result, prove the uniform global pathwise convergence of the numerical approximation, on a set of probability one, with order H -ρ -β, for β ∈ (1-H, 1/2) and 0 < ρ < H -β. A uniform high-probability formulation with deterministic constants follows as a corollary. In particular, the convergence order can be taken arbitrarily close to 2H -1, matching the order obtained for the explicit Euler scheme. The convergence proof relies on an exact integral representation of the scheme at mesh points, an a priori bound for the numerical solution, fractional calculus estimates, and a Gronwall inequality for weakly singular kernels.
ER  -