Skip to content
DraconiticResearch
Search Sources API
186,631 studies31 sourcesUpdated 49 min ago
PreprintarXiv licencearXiv

Convergence of repeated-pole rational approximation of the exponential on infinite sectors

Abstract

For h>0, degree m≥0, 0≤β<π, and q>0, let Σβ={reiθ:r≥0, |θ|≤β/2} and let Em,β(q) denote the best uniform error for approximating e−hz on Σβ by rational functions whose only possible finite pole is s=−q/h, with multiplicity at most m. For the linear scaling q=αm with a fixed α>0, a Möbius map reduces the problem to polynomial approximation on a compact lens. Write γβ=2−β/π and let αc(γβ) denote the saddle-coalescence threshold. For 0<α<αc(γβ), let Hβ(α)∈(0,1) be the exponential of the real saddle action. An exact boundary Faber integral, a global fractional-power contour deformation, and a two-saddle expansion yield the sharp two-sided order Em,β(αm)asymp m−1/2Hβ(α)m, uniformly on compact subsets of 0<α<αc(γβ). On this noncoalescing interval, the exponential factor Hβ(α) has the unique minimizer αβ*=1/[γβsin(π/(2γβ))] and minimum tan(π/(4γβ)), recovering the classical half-line factor tan(π/8)=√2−1 at β=0. Numerical-range estimates give matrix dimension-independent upper bounds for projected shift-and-invert Arnoldi, while finite-degree pole searches and nonnormal experiments illustrate the distinction between the sector-uniform law and individual matrix computations.

Related

  1. Uniform Chebyshev asymptotics for repeated-pole rational approximation of the exponential
    Fei Xue, Tianqi Zhang
    arXivPreprintarXiv licenceFull textNumerical analysis & scientific computingarXiv
  2. Neural Approximation by Function Composition: Rigidity and Doubly Exponential Convergence
    Wentao Huang, Haizhang Zhang
    arXivPreprintarXiv licenceFull textGeneral mathematicsarXiv
  3. Exponential Convergence of the Sinkhorn Algorithm for the Schrödinger Bridge with Regime Switching
    Katharina Eichinger, Anna Kazeykina, Zhenjie Ren +1
    HALPreprintLicence not statedGeneral mathematicsHAL
  4. Exponential Consensus and Flocking in Multi-Agent Systems with Infinite Fading Memory
    Cristina Pignotti, Yu-Qing Wang
    arXivPreprintCC BY 4.0Full textDynamical systemsOptimisation & controlarXiv
  5. Lower bounds in H2-rational approximation to Blaschke products
    Laurent Baratchart, Alexander Borichev, Sylvain Chevillard +2
    Research in the Mathematical SciencesPeer-reviewedCC BY 4.0Full textAnalysis & PDEsHAL
BibTeX
@misc{xue2026convergence,
  title = {{Convergence of repeated-pole rational approximation of the exponential on infinite sectors}},
  author = {Fei Xue and Tianqi Zhang},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.09251},
  eprint = {2610.09251},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.09251},
}
RIS
TY  - UNPB
TI  - Convergence of repeated-pole rational approximation of the exponential on infinite sectors
AU  - Fei Xue
AU  - Tianqi Zhang
PY  - 2026
DA  - 2026/10/07
PB  - arXiv
DO  - 10.48550/arxiv.2610.09251
UR  - https://arxiv.org/abs/2610.09251
AB  - For h>0, degree m≥0, 0≤β<π, and q>0, let Σ_β={re^iθ:r≥0, |θ|≤β/2} and let E_m,β(q) denote the best uniform error for approximating e^−hz on Σ_β by rational functions whose only possible finite pole is s=−q/h, with multiplicity at most m. For the linear scaling q=αm with a fixed α>0, a Möbius map reduces the problem to polynomial approximation on a compact lens. Write γ_β=2−β/π and let α_c(γ_β) denote the saddle-coalescence threshold. For 0<α<α_c(γ_β), let H_β(α)∈(0,1) be the exponential of the real saddle action. An exact boundary Faber integral, a global fractional-power contour deformation, and a two-saddle expansion yield the sharp two-sided order E_m,β(αm)asymp m^−1/2H_β(α)^m, uniformly on compact subsets of 0<α<α_c(γ_β). On this noncoalescing interval, the exponential factor H_β(α) has the unique minimizer α_β^*=1/[γ_βsin(π/(2γ_β))] and minimum tan(π/(4γ_β)), recovering the classical half-line factor tan(π/8)=√2−1 at β=0. Numerical-range estimates give matrix dimension-independent upper bounds for projected shift-and-invert Arnoldi, while finite-degree pole searches and nonnormal experiments illustrate the distinction between the sector-uniform law and individual matrix computations.
ER  -