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Maximal Lp-Lq regularity of finite element methods for stochastic parabolic equations in polygonal domains

Abstract

We prove that a spatial semidiscrete finite element method preserves the stochastic maximal regularity of the heat equation on bounded convex polygonal and polyhedral domains in dimensions two and three. A main difficulty is to establish suitable Green-function estimates for stochastic convolutions, whose paths generally lack classical time derivatives. Besides, the failure of the Burkholder-Davis-Gundy (BDG) inequality at the endpoint p=∞ creates additional difficulties. Our approach leverages a hidden symmetry structure of the discrete Green's function, which enables the use of a key integration-by-parts type formula. Then the discrete stochastic maximal Lp-Lp regularity with p∈ [2,∞) is obtained from the discrete local energy estimates and interpolation inequalities. To extend further the discrete stochastic maximal Lp-Lq regularity with the full range of integrability exponents, i.e., p∈ (2,∞), q∈ [2,∞) or p=q=2, we also show that the discrete convolution kernel satisfies the stochastic Hörmander's condition, allowing the application of a stochastic version of the Calderón-Zygmund theory.

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BibTeX
@misc{bai2026maximal,
  title = {{Maximal $L^p$-$L^q$ regularity of finite element methods for stochastic parabolic equations in polygonal domains}},
  author = {Genming Bai and Jianbo Cui and Buyang Li},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.25275},
  eprint = {2610.25275},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.25275},
}
RIS
TY  - UNPB
TI  - Maximal L^p-L^q regularity of finite element methods for stochastic parabolic equations in polygonal domains
AU  - Genming Bai
AU  - Jianbo Cui
AU  - Buyang Li
PY  - 2026
DA  - 2026/10/18
PB  - arXiv
DO  - 10.48550/arxiv.2610.25275
UR  - https://arxiv.org/abs/2610.25275
AB  - We prove that a spatial semidiscrete finite element method preserves the stochastic maximal regularity of the heat equation on bounded convex polygonal and polyhedral domains in dimensions two and three. A main difficulty is to establish suitable Green-function estimates for stochastic convolutions, whose paths generally lack classical time derivatives. Besides, the failure of the Burkholder-Davis-Gundy (BDG) inequality at the endpoint p=∞ creates additional difficulties. Our approach leverages a hidden symmetry structure of the discrete Green's function, which enables the use of a key integration-by-parts type formula. Then the discrete stochastic maximal L^p-L^p regularity with p∈ [2,∞) is obtained from the discrete local energy estimates and interpolation inequalities. To extend further the discrete stochastic maximal L^p-L^q regularity with the full range of integrability exponents, i.e., p∈ (2,∞), q∈ [2,∞) or p=q=2, we also show that the discrete convolution kernel satisfies the stochastic Hörmander's condition, allowing the application of a stochastic version of the Calderón-Zygmund theory.
ER  -