Skip to content
DraconiticResearch
Search Sources API
190,869 studies31 sourcesUpdated 17 min ago
PreprintCC BY 4.0arXiv

The Llog L-Luxemburg Discrepancy for Nonnegative Weights Suffers from the Curse of Dimensionality

Abstract

We study the normalized discrepancy in the Luxemburg norm generated by Φ(s)=slog(1+s). For arbitrary nonnegative quadrature weights, we prove that the associated information complexity suffers from the curse of dimensionality: for every ε∈(0,1), there exist constants cε>0 and d0=d0(ε)∈ℕ such that NΦ,+(ε,d)≥ cε d−1(1.07735…)d for all d≥ d0. The result therefore also applies to equal-weight quasi-Monte Carlo rules.

Related

  1. The curse of dimensionality for geometric L1-discrepancies with nonnegative weights
    Josef Dick
    arXivPreprintCC BY 4.0Full textNumerical analysis & scientific computingProbabilityarXiv
  2. On the Luxemburg Functional in the Concave Regime with an Application to Nonlocal Differential Equations
    Christopher S. Goodrich, Gabriel Nakhl
    arXivPreprintarXiv licenceFull textAnalysis & PDEsarXiv
  3. Totally nonnegative tropical flags and the totally nonnegative flag Dressian
    Jonathan Boretsky
    Algebraic CombinatoricsPeer-reviewedCC BY 4.0Full text7 citedCombinatorics & discrete mathematicsCrossrefOpenAlex
  4. Nondeformability of Moishezon manifolds with nonnegative Kodaira dimension
    Mu-Lin Li
    arXivPreprintCC BY 4.0Full textAlgebra & number theoryarXiv
  5. A deterministic (1+ε)n approximation for the permanent of a nonnegative matrix
    Dingding Dong, Vishesh Jain
    arXivPreprintCC BY 4.0Full textCombinatorics & discrete mathematicsarXiv
BibTeX
@misc{dick2026llog,
  title = {{The $L\log L$-Luxemburg Discrepancy for Nonnegative Weights Suffers from the Curse of Dimensionality}},
  author = {Josef Dick and Friedrich Pillichshammer},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.21717},
  eprint = {2610.21717},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.21717},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - The Llog L-Luxemburg Discrepancy for Nonnegative Weights Suffers from the Curse of Dimensionality
AU  - Josef Dick
AU  - Friedrich Pillichshammer
PY  - 2026
DA  - 2026/10/15
PB  - arXiv
DO  - 10.48550/arxiv.2610.21717
UR  - https://arxiv.org/abs/2610.21717
AB  - We study the normalized discrepancy in the Luxemburg norm generated by Φ(s)=slog(1+s). For arbitrary nonnegative quadrature weights, we prove that the associated information complexity suffers from the curse of dimensionality: for every ε∈(0,1), there exist constants c_ε>0 and d_0=d_0(ε)∈ℕ such that N_Φ,+(ε,d)≥ c_ε d^−1(1.07735…)^d for all d≥ d_0. The result therefore also applies to equal-weight quasi-Monte Carlo rules.
ER  -