Skip to content
DraconiticResearch
Search Sources API
203,234 studies31 sourcesUpdated 30 min ago
PreprintarXiv licencearXiv

Derivative Formulae and Gradient Estimates for Stochastic Hamiltonian Systems with Jumps

Abstract

This paper is concerned with stochastic Hamiltonian systems driven by Lévy processes. By employing the lent particle method developed by Bouleau and Denis in the framework of Malliavin calculus with jumps, we establish an explicit Bismut--Elworthy--Li type derivative formula for the associated Markov semigroup, as well as corresponding gradient estimates. The main novelty lies in extending the known results for Brownian-motion-driven degenerate systems to the nonlocal setting with jumps, where the presence of a pure jump noise and the degeneracy of the coefficients pose substantial difficulties. Our approach provides a systematic treatment of such nonlocal degenerate operators and fills a gap in the literature on derivative formulae for jump-type stochastic Hamiltonian systems.

Related

  1. Hamiltonian Primal-Dual Policy Reinforcement Learning for Derivative-Free Model-Based Control
    K. Rabiei, Z. Rui, X. Lu +1
    arXivPreprintarXiv licenceFull textOptimisation & controlarXiv
  2. Higher order pointwise estimates for intermediate derivative
    Miroslav Horák, Filip Soudský, Martina Šimůnková
    arXivPreprintarXiv licenceFull textAnalysis & PDEsarXiv
  3. Time derivative estimates for normalized parabolic p-Laplace equations
    Se-Chan Lee, Hyungsung Yun
    arXivPreprintCC BY 4.0Full textAnalysis & PDEsarXiv
  4. Weighted derivative estimates for Kolmogorov equations
    Artur Sidorenko, Vasilii Kolokoltsov
    arXivPreprintCC BY 4.0Full textAnalysis & PDEsProbabilityarXiv
  5. On space-time derivative estimates for the magnetohydrodynamic equations
    Yanqing Wang, Wei Wei, Gang Wu +1
    arXivPreprintCC BY 4.0Full textAnalysis & PDEsarXiv
BibTeX
@misc{zhang2026derivative,
  title = {{Derivative Formulae and Gradient Estimates for Stochastic Hamiltonian Systems with Jumps}},
  author = {Hua Zhang},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.25771},
  eprint = {2609.25771},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.25771},
}
RIS
TY  - UNPB
TI  - Derivative Formulae and Gradient Estimates for Stochastic Hamiltonian Systems with Jumps
AU  - Hua Zhang
PY  - 2026
DA  - 2026/09/22
PB  - arXiv
DO  - 10.48550/arxiv.2609.25771
UR  - https://arxiv.org/abs/2609.25771
AB  - This paper is concerned with stochastic Hamiltonian systems driven by Lévy processes. By employing the lent particle method developed by Bouleau and Denis in the framework of Malliavin calculus with jumps, we establish an explicit Bismut--Elworthy--Li type derivative formula for the associated Markov semigroup, as well as corresponding gradient estimates. The main novelty lies in extending the known results for Brownian-motion-driven degenerate systems to the nonlocal setting with jumps, where the presence of a pure jump noise and the degeneracy of the coefficients pose substantial difficulties. Our approach provides a systematic treatment of such nonlocal degenerate operators and fills a gap in the literature on derivative formulae for jump-type stochastic Hamiltonian systems.
ER  -