Skip to content
DraconiticResearch
Search Sources API
197,788 studies31 sourcesUpdated 55 min ago
PreprintCC BY 4.0arXiv

A Nonlocal Stochastic Optimal Control with Elliptic-Type Smoothing

Abstract

We study a nonlocal stochastic optimal control problem in which the control acts through the elliptic smoothing operator ๐’ฎ=(Iโˆ’ฮ”)โˆ’1 on โ„d. The state is described by the law of a controlled diffusion, equivalently by a controlled Fokker-Planck equation with coefficients depending on ๐’ฎu. We prove the existence of an optimal control by the direct method in the calculus of variations. We then derive a Pontryagin-type maximum principle by spike variations, relying on sharp properties of the operator ๐’ฎ. The result yields a pointwise minimisation rule for the optimal control. We discuss the meaning of the optimal control problem in the case of population dynamics.

Related

  1. Robust preconditioners for finite element approximations of control-state constrained optimal control problems governed by elliptic equations
    Juan Zhang, Liang Ge, Jianwei Zhou
    arXivPreprintarXiv licenceFull textNumerical analysis & scientific computingarXiv
  2. On quantitative sufficient second-order optimality conditions for elliptic optimal control problems
    Francisco Fuica, Nicolai Jork
    arXivPreprintarXiv licenceFull textOptimisation & controlarXiv
  3. Learning Optimal Robust-Pathwise Control of Elliptic Equations with Random Coefficients
    Qi Sun, Yanhan Cui, Ling Guo +1
    arXivPreprintarXiv licenceFull textNumerical analysis & scientific computingarXiv
  4. Finite element error estimates for a bilinear optimal control problem with pointwise tracking governed by a semilinear elliptic PDE
    Enrique Otarola, Daniel Quero, Matias Sasso
    arXivPreprintarXiv licenceFull textNumerical analysis & scientific computingOptimisation & controlarXiv
  5. A Preconditioned Semismooth Newton Method for Box-Constrained Elliptic Optimal Control Problems with Random Coefficients
    Zhendong Li, Akwum Onwunta, Hailing Wang
    arXivPreprintCC BY 4.0Full textAnalysis & PDEsNumerical analysis & scientific computingarXiv
BibTeX
@misc{anita2026nonlocal,
  title = {{A Nonlocal Stochastic Optimal Control with Elliptic-Type Smoothing}},
  author = {Stefana-Lucia Anita and Luca Di Persio},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.10029},
  eprint = {2610.10029},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.10029},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - A Nonlocal Stochastic Optimal Control with Elliptic-Type Smoothing
AU  - Stefana-Lucia Anita
AU  - Luca Di Persio
PY  - 2026
DA  - 2026/10/07
PB  - arXiv
DO  - 10.48550/arxiv.2610.10029
UR  - https://arxiv.org/abs/2610.10029
AB  - We study a nonlocal stochastic optimal control problem in which the control acts through the elliptic smoothing operator ๐’ฎ=(Iโˆ’ฮ”)^โˆ’1 on โ„^d. The state is described by the law of a controlled diffusion, equivalently by a controlled Fokker-Planck equation with coefficients depending on ๐’ฎu. We prove the existence of an optimal control by the direct method in the calculus of variations. We then derive a Pontryagin-type maximum principle by spike variations, relying on sharp properties of the operator ๐’ฎ. The result yields a pointwise minimisation rule for the optimal control. We discuss the meaning of the optimal control problem in the case of population dynamics.
ER  -