Convergence analysis of Hermite approximations for analytic functions

In this paper, we present a rigorous analysis for root-exponential convergence of Hermite approximations, including projection and interpolation methods, for functions that are analytic in an infinite strip containing the real axis and satisfy certain restrictions on the asymptotic behavior at infinity within this strip. The key ingredients of our analysis are some new and remarkable contour integral representations for the Hermite coefficients and the remainder of Hermite spectral interpolations with which sharp error estimates for Hermite approximations in the weighted and maximum norms are established. Further extensions to Gauss-Hermite quadrature and the scaling factor are also discussed. Particularly, we prove the root-exponential convergence of Gauss–Hermite quadrature under explicit conditions on the integrands. Numerical experiments confirm our theoretical results.

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Publication Details

Journal
Mathematics of Computation
Published
2025-07-16
DOI
https://doi.org/10.1090/mcom/4127
Citations
2
Primary Topic
Probabilistic and Robust Engineering Design
Type
article
Field-Weighted Citation Impact
2.80

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article

Convergence analysis of Hermite approximations for analytic functions

Lun Zhang, Haiyong Wang
2 citations
Mathematics of Computation
Probabilistic and Robust Engineering Design
2.80
article

Convergence analysis of Hermite approximations for analytic functions

Lun Zhang, Haiyong Wang
article en
2 citations

Abstract

In this paper, we present a rigorous analysis for root-exponential convergence of Hermite approximations, including projection and interpolation methods, for functions that are analytic in an infinite strip containing the real axis and satisfy certain restrictions on the asymptotic behavior at infinity within this strip. The key ingredients of our analysis are some new and remarkable contour integral representations for the Hermite coefficients and the remainder of Hermite spectral interpolations with which sharp error estimates for Hermite approximations in the weighted and maximum norms are established. Further extensions to Gauss-Hermite quadrature and the scaling factor are also discussed. Particularly, we prove the root-exponential convergence of Gauss–Hermite quadrature under explicit conditions on the integrands. Numerical experiments confirm our theoretical results.

Mathematics of Computation
Fudan University (CN), Huazhong University of Science and Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 8%
Probabilistic and Robust Engineering Design
2.80
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Convergence analysis of Hermite approximations for analytic functions — Lun Zhang, Haiyong Wang · Mathematics of Computation (2025) | TGRS Research Map | TGRS