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Asymptotic couplings by reflection are constructed for a class of non-linear monotone SPDES (stochastic partial differential equations). As applications, the gradient/H\"older estimates as well as the exponential convergence are derived for…

Probability · Mathematics 2014-07-15 Feng-Yu Wang

We introduce a new type of local and microlocal asymptotic analysis in algebras of generalized functions, based on the presheaf properties of those algebras and on the properties of their elements with respect to a regularizing parameter.…

Functional Analysis · Mathematics 2009-04-18 Antoine Delcroix , Michael Oberguggenberger , Jean-André Marti

Let $p(n)$ denote the partition function. In this paper our main goal is to derive an asymptotic expansion up to order $N$ (for any fixed positive integer $N$) along with estimates for error bounds for the shifted quotient of the partition…

Number Theory · Mathematics 2024-12-04 Koustav Banerjee , Peter Paule , Cristian-Silviu Radu , Carsten Schneider

For a family of second-order parabolic systems with rapidly oscillating and time-dependent periodic coefficients, we investigate the asymptotic behavior of fundamental solutions and establish sharp estimates for the remainders.

Analysis of PDEs · Mathematics 2017-11-30 Jun Geng , Zhongwei Shen

We discuss the existence of solutions with oblique asymptotes to a class of second order nonlinear ordinary differential equations by means of Lyapunov functions. The approach is new in this field and allows for simpler proofs of general…

Classical Analysis and ODEs · Mathematics 2010-01-06 Octavian G. Mustafa , Cemil Tunc

In this monograph, we prove an asymptotic approximation for integrals of probability densities over sets in finite dimensional euclidean space, which are far away from the origin (asymptotic sets). We use this approximation to investigate…

Probability · Mathematics 2009-09-29 Philippe Barbe

This paper develops an asymptotic expansion technique in momentum space for stochastic filtering. It is shown that Fourier transformation combined with a polynomial-function approximation of the nonlinear terms gives a closed recursive…

Computational Finance · Quantitative Finance 2013-03-26 Masaaki Fujii

We prove asymptotic results for 2-dimensional random matching problems. In particular, we obtain the leading term in the asymptotic expansion of the expected quadratic transportation cost for empirical measures of two samples of independent…

Probability · Mathematics 2016-11-16 Luigi Ambrosio , Federico Stra , Dario Trevisan

By combining the Malliavin calculus with Fourier techniques, we develop a high-order asymptotic expansion theory for a sequence of vector-valued random variables. Our asymptotic expansion formulas give the development of the characteristic…

Probability · Mathematics 2019-09-20 Ciprian Tudor , Nakahiro Yoshida

This article is a survey of the results on asymptotic behavior of small ball probabilities in $L_2$-norm. Recent progress in this field is mainly based on the methods of spectral theory of differential and integral operators.

Probability · Mathematics 2023-06-26 Alexander Nazarov , Yulia Petrova

As suggested by Currie, we apply the probabilistic method to problems regarding pattern avoidance. Using techniques from analytic combinatorics, we calculate asymptotic pattern occurrence statistics and use them in conjunction with the…

Combinatorics · Mathematics 2014-06-03 Jim Tao

We study the uniform asymptotics for the orthogonal polynomials with respect to weights composed of both absolutely continuous measure and discrete measure, by taking a special class of the sieved Pollazek Polynomials as an example. The…

Complex Variables · Mathematics 2014-12-31 Xiao-Bo Wu , Yu Lin , Shuai-Xia Xu , Yu-Qiu Zhao

This paper considers a probabilistic-analytical approach to determining asymptotics of prime objects on the initial interval of the natural series. The author proposes a new method based on the construction of a probability space. An…

Number Theory · Mathematics 2025-04-01 Victor Volfson

This paper discusses infill asymptotics for logistic regression estimators for spatio-temporal point processes whose intensity functions are of log-linear form. We establish strong consistency and asymptotic normality for the parameters of…

Statistics Theory · Mathematics 2022-08-26 M. N. M. van Lieshout , C. Lu

Asymptotic equivalence theory developed in the literature so far are only for bounded loss functions. This limits the potential applications of the theory because many commonly used loss functions in statistical inference are unbounded. In…

Statistics Theory · Mathematics 2009-09-03 T. Tony Cai , Harrison H. Zhou

In this survey we show how to produce asymptotics of determinants of structured matrices using operator theory methods. We describe the asymptotics for finite Toeplitz matrices, finite Toeplitz plus Hankel matrices and generalizations of…

Functional Analysis · Mathematics 2024-08-01 E. Basor , T. Ehrhardt , J. A. Virtanen

In this paper we provide new asymptotic estimates of the Floquet exponents of Schr\"odinger operators on the circle. By the same techniques, known asymptotic estimates of various others spectral quantities are improved.

Spectral Theory · Mathematics 2011-07-25 T. Kappeler , B. Schaad , P. Topalov

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 analyze the sequence of polynomials defined by the differential-difference equation $P_{n+1}(x)=P_{n}^{\prime}(x)+x(n+1)P_{n}(x)$ asymptotically as $n\to\infty$. The polynomials $P_{n}(x)$ arise in the computation of higher derivatives…

Classical Analysis and ODEs · Mathematics 2008-11-17 Diego Dominici , Charles Knessl

Recently, symbolic regression (SR) has demonstrated its efficiency for discovering basic governing relations in physical systems. A major impact can be potentially achieved by coupling symbolic regression with asymptotic methodology. The…

Symbolic Computation · Computer Science 2023-07-06 Rasul Abdusalamov , Julius Kaplunov , Mikhail Itskov
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