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This short communication considers an infinite-server system with overdispersed input. The objective is to identify the exact tail asymptotics of the number of customers present at a given point in time under a specific scaling of the model…

Probability · Mathematics 2019-09-24 Mariska Heemskerk , Michel Mandjes

This paper aims to derive explicit and computable error bounds for the asymptotic expansion of the Jacobi polynomials as their degree approaches infinity, using an integral method. The analysis focuses on the outer or oscillatory region of…

Classical Analysis and ODEs · Mathematics 2025-08-07 Xiao-Min Huang , Yu Lin , Xiang-Sheng Wang , R. Wong

Let $(M,g)$ be a compact smoothly stratified pseudomanifold with an iterated cone-edge metric satisfying a spectral Witt condition. Under these assumptions the Hodge-Laplacian $\Delta$ is essentially self-adjoint. We establish the…

Spectral Theory · Mathematics 2021-06-02 Luiz Hartmann , Matthias Lesch , Boris Vertman

We are interested in the asymptotic behavior of orthogonal polynomials of the generalized Jacobi type as their degree $n$ goes to $\infty$. These are defined on the interval $[-1,1]$ with weight function…

Mathematical Software · Computer Science 2015-10-23 Alfredo Deaño , Daan Huybrechs , Peter Opsomer

We consider Gowdy spacetimes under the assumption that the spatial hypersurfaces are diffeomorphic to the torus. The relevant equations are then wave map equations with the hyperbolic space as a target. In an article by Grubisic and…

General Relativity and Quantum Cosmology · Physics 2015-06-25 Hans Ringstrom

In this paper we prove that the Euler equation describing the motion of an ideal fluid in $\R^d$ is well-posed in a class of functions allowing spatial asymptotic expansions as $|x|\to\infty$ of any a priori given order. These asymptotic…

Analysis of PDEs · Mathematics 2016-09-27 R. McOwen , Peter Topalov

In this paper we compute some of the higher order terms in the large-t asymptotic expansion of the Airy process two-point function, extending the previous work of Adler and van Moerbeke and Widom. We prove that it is possible to represent…

Probability · Mathematics 2011-04-14 Gregory Shinault , Craig A. Tracy

The self-consistent expansion (SCE) is a powerful technique for obtaining perturbative solutions to problems in statistical physics but it suffers from a subtle problem - too much freedom! The SCE can be used to generate an enormous number…

Statistical Mechanics · Physics 2024-07-12 Chanania Steinbock , Eytan Katzav

Convergent expansions are derived for three types of orthogonal polynomials: Charlier, Laguerre and Jacobi. The expansions have asymptotic properties for large values of the degree. The expansions are given in terms of functions that are…

Classical Analysis and ODEs · Mathematics 2007-05-23 José L. López , Nico M. Temme

Uniform asymptotic expansions involving exponential and Airy functions are obtained for Laguerre polynomials $L_{n}^{(\alpha)}(x)$, as well as complementary confluent hypergeometric functions. The expansions are valid for $n$ large and…

Classical Analysis and ODEs · Mathematics 2017-05-04 T. M. Dunster , A. Gil , J. Segura

We establish the convergence theory of multiplicative Diophantine approximation for all non-degenerate, smooth manifolds. We also settle said convergence theory for all affine subspaces satisfying a highly generic and essentially optimal…

Number Theory · Mathematics 2026-02-12 Sam Chow , Rajula Srivastava , Niclas Technau , Han Yu

Spatially localised stationary patterns of arbitrary wide spatial extent emerge from subcritical Turing bifurcations in one-dimensional reaction-diffusion systems. They lie on characteristic bifurcation curves that oscillate around a…

Pattern Formation and Solitons · Physics 2025-01-20 Edgardo Villar-Sepúlveda

We construct asymptotic expansions for ordinary differential equations with highly oscillatory forcing terms, focussing on the case of multiple, non-commensurate frequencies. We derive an asymptotic expansion in inverse powers of the…

Numerical Analysis · Mathematics 2023-07-19 Marissa Condon , Alfredo Deano , Jing Gao , Arieh Iserles

We derive an asymptotic expansion for the distribution of a compound sum of independent random variables, all having the same light-tailed subexponential distribution. The examples of a Poisson and geometric number of summands serve as an…

Probability · Mathematics 2007-05-23 Ph . Barbe , W. P. McCormick , C. Zhang

We consider a family of parallel methods for constrained optimization based on projected gradient descents along individual coordinate directions. In the case of polyhedral feasible sets, local convergence towards a regular solution occurs…

Optimization and Control · Mathematics 2015-09-18 Olivier Bilenne

Asymptotic formulas are derived for the Stieltjes-Wigert polynomials $S_n(z;q)$ in the complex plane as the degree $n$ grows to infinity. One formula holds in any disc centered at the origin, and the other holds outside any smaller disc…

Classical Analysis and ODEs · Mathematics 2013-06-12 Y. T. Li , R. Wong

We consider the spherical integral of real symmetric or Hermitian matrices when the rank of one matrix is one. We prove the existence of the full asymptotic expansions of these spherical integrals and derive the first and the second term in…

Probability · Mathematics 2014-12-16 Jiaoyang Huang

We show how recent exact results in supersymmetric theories can be extended to models which include {\it explicit} soft supersymmetry breaking terms. We thus derive new exact results for non-supersymmetric models.

High Energy Physics - Theory · Physics 2009-10-28 Nick Evans , Stephen D. H. Hsu , Myckola Schwetz

A cutting-plane model for a nonsmooth function is the maximum of several first-order expansions centered at different points. Using such a model in a bundle method leads to linear convergence (of serious steps) to a minimum. In smooth…

Optimization and Control · Mathematics 2026-03-26 Bennet Gebken , Michael Ulbrich

M-type smoothing splines are a broad class of spline estimators that include the popular least-squares smoothing spline but also spline estimators that are less susceptible to outlying observations and model-misspecification. However,…

Statistics Theory · Mathematics 2025-03-06 Ioannis Kalogridis