Skip to content
DraconiticResearch
Search Sources API
186,631 studies31 sourcesUpdated 33 min ago
PreprintarXiv licencearXiv

Spectral Barron spaces of periodic functions

Abstract

Spectral Barron spaces are Fourier-Lebesgue-type spaces that arise in the approximation of functions by neural networks. Conventional spectral Barron spaces are mostly considered on the whole space or on a bounded domain with certain smoothness assumptions on the boundary. In this work, we investigate spectral Barron spaces for periodic functions, thereby extending the study of spectral Barron spaces to high-dimensional tori and, more generally, to locally compact Abelian groups. These extensions are carried out by considering Fourier series expansions that are isometrically isomorphic to weighted sequence spaces built upon the ℓ1 sequence space. We discuss the well-posedness of PDEs in these newly introduced spaces. Two specific inverse problems for evolution equations are investigated, yielding conditional stability within the framework of spectral Barron spaces on the torus.

Related

  1. Variable-Coefficient Parabolic Equations and Finite-Horizon Hamilton--Jacobi--Bellman Equations in Augmented Spectral Barron Spaces
    Shaolin Ji, Xianrui Wang
    arXivPreprintarXiv licenceFull textOptimisation & controlarXiv
  2. Minimax rates for learning spectral Barron functions by deep ReLU neural networks
    Songqiu Ma, Yunfei Yang
    arXivPreprintarXiv licenceFull textNumerical analysis & scientific computingStatisticsarXiv
  3. Sharp Mixed Spectral Barron Regularity of Coulombic Many-Electron Wave Functions
    Pingbing Ming, Hao Yu
    arXivPreprintarXiv licenceFull textAnalysis & PDEsNumerical analysis & scientific computingarXiv
  4. Heat equations in spectral Barron spaces
    Mourad Choulli, Shuai Lu, Hiroshi Takase
    arXivPreprintarXiv licenceFull textAnalysis & PDEsarXiv
  5. Fractional Parabolic Partial Differential Equations in Anisotropic Spectral Barron Spaces: Regularity and Neural Approximation
    Jae-Hwan Choi, Hyojae Lim, Jinsol Seo +2
    arXivPreprintCC BY 4.0Full textAnalysis & PDEsarXiv
BibTeX
@misc{choulli2026spectral,
  title = {{Spectral Barron spaces of periodic functions}},
  author = {Mourad Choulli and Shuai Lu and Hiroshi Takase},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.06169},
  eprint = {2610.06169},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.06169},
}
RIS
TY  - UNPB
TI  - Spectral Barron spaces of periodic functions
AU  - Mourad Choulli
AU  - Shuai Lu
AU  - Hiroshi Takase
PY  - 2026
DA  - 2026/10/05
PB  - arXiv
DO  - 10.48550/arxiv.2610.06169
UR  - https://arxiv.org/abs/2610.06169
AB  - Spectral Barron spaces are Fourier-Lebesgue-type spaces that arise in the approximation of functions by neural networks. Conventional spectral Barron spaces are mostly considered on the whole space or on a bounded domain with certain smoothness assumptions on the boundary. In this work, we investigate spectral Barron spaces for periodic functions, thereby extending the study of spectral Barron spaces to high-dimensional tori and, more generally, to locally compact Abelian groups. These extensions are carried out by considering Fourier series expansions that are isometrically isomorphic to weighted sequence spaces built upon the ℓ^1 sequence space. We discuss the well-posedness of PDEs in these newly introduced spaces. Two specific inverse problems for evolution equations are investigated, yielding conditional stability within the framework of spectral Barron spaces on the torus.
ER  -