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We present a new and relatively elementary method for studying the solution of the initial-value problem for dispersive linear and integrable equations in the large-$t$ limit, based on a generalization of steepest descent techniques for…

Analysis of PDEs · Mathematics 2018-09-06 Momar Dieng , Kenneth D. T. -R. McLaughlin , Peter D. Miller

In these lectures three different methods of computing the asymptotic expansion of a Hermitian matrix integral is presented. The first one is a combinatorial method using Feynman diagrams. This leads us to the generating function of the…

Mathematical Physics · Physics 2010-10-05 Motohico Mulase

We derive a formula that simplifies the original asymptotic iteration method formulation to find the energy eigenvalues for the analytically solvable cases. We then show that there is a connection between the asymptotic iteration and the…

Quantum Physics · Physics 2009-11-13 I. Boztosun , M. Karakoc

Symmetric elliptic integrals, which have been used as replacements for Legendre's integrals in recent integral tables and computer codes, are homogeneous functions of three or four variables. When some of the variables are much larger than…

Classical Analysis and ODEs · Mathematics 2016-09-06 Bille C. Carlson , John L. Gustafson

This work considers numerical methods for the time-dependent Schr\"{o}dinger equation of incommensurate systems. By using a plane wave method for spatial discretization, the incommensurate problem is lifted to a higher dimension that…

Computational Physics · Physics 2021-03-30 Ting Wang , Huajie Chen , Aihui Zhou , Yuzhi Zhou

In this work we construct a multiderivative implicit-explicit (IMEX) scheme for a class of stiff ordinary differential equations. Our solver is high-order accurate and has an asymptotic preserving (AP) property. The proposed method is based…

Numerical Analysis · Mathematics 2020-01-24 Jochen Schütz , David C. Seal

We introduce a recent symplectic integration scheme derived for solving physically motivated systems with non-separable Hamiltonians. We show its relevance to Riemannian manifold Hamiltonian Monte Carlo (RMHMC) and provide an alternative to…

Machine Learning · Statistics 2019-10-15 Adam D. Cobb , Atılım Güneş Baydin , Andrew Markham , Stephen J. Roberts

The goal of this paper is to construct an effective model for studying the asymptotic solution of the scattering problem of three one-dimensional quantum particles with finite (short-range) attractive pair potentials. The asymptotic nature…

Mathematical Physics · Physics 2024-05-21 Sergey B. Levin , Alexandr S. Bagmutov , Victor O. Toropov

In this study, we examine the asymptotic behavior of solutions to nonlinear Schr\"{o}dinger equations with time-dependent harmonic oscillators and prove the time-decay property of solutions in the case of a long range power type…

Mathematical Physics · Physics 2020-07-07 Masaki Kawamoto , Ryo Muramatsu

The phase-integral method (PIM) is an asymptotic method of the geometrical optics or semi-classical type for solving approximately, but in many cases very accurately, a wide class of differential equations in physics. Unlike the related…

Mathematical Physics · Physics 2010-01-05 S. Yngve , B. Thidé

An analytic solution is obtained to the SEIR Epidemic Model. The solution is created by constructing a single second-order nonlinear differential equation in $\ln S$ and analytically continuing its divergent power series solution such that…

Populations and Evolution · Quantitative Biology 2020-07-01 Steven J. Weinstein , Morgan S. Holland , Kelly E. Rogers , Nathaniel S. Barlow

The main purpose of the present paper is to study from a numerical analysis point of view some robust methods designed to cope with stiff (highly anisotropic) elliptic problems. The so-called asymptotic-preserving schemes studied in this…

Numerical Analysis · Mathematics 2015-07-06 Alexei Lozinski , Jacek Narski , Claudia Negulescu

A class of self-similar solutions to the derivative nonlinear Schr\"odinger equations is studied. Especially, the asymptotics of profile functions are shown to posses a logarithmic phase correction. This logarithmic phase correction is…

Analysis of PDEs · Mathematics 2018-11-16 Kazumasa Fujiwara , Vladimir Georgiev , Tohru Ozawa

In this article we introduce an asymptotic preserving scheme designed to compute the solution of a two dimensional elliptic equation presenting large anisotropies. We focus on an anisotropy aligned with one direction, the dominant part of…

Numerical Analysis · Mathematics 2014-04-08 Pierre Degond , Fabrice Deluzet , Claudia Negulescu

The goal of the paper is to analytically examine escape probabilities for dynamical systems driven by symmetric $\alpha$-stable L\'evy motions. Since escape probabilities are solutions of a type of integro-differential equations (i.e.,…

Probability · Mathematics 2014-02-18 Huijie Qiao , Jinqiao Duan

In this article we discuss our ongoing program to extend the scope of certain, well-developed microlocal methods for the asymptotic solution of Schr\"{o}dinger's equation (for suitable `nonlinear oscillatory' quantum mechanical systems) to…

Mathematical Physics · Physics 2019-01-09 Antonella Marini , Rachel Maitra , Vincent Moncrief

Solitons are ubiquitous in nature and play a pivotal role in the structure and dynamics of solutions of nonlinear propagation equations. In many instances where solitons exist, analytical expressions of these special objects are not…

Computational Physics · Physics 2025-04-16 O. Melchert , A. Demircan

The asymptotic behavior of solutions to Schr\"odinger equations with singular homogeneous potentials is investigated. Through an Almgren type monotonicity formula and separation of variables, we describe the exact asymptotics near the…

Analysis of PDEs · Mathematics 2011-07-20 Veronica Felli , Alberto Ferrero , Susanna Terracini

Active inference is an account of cognition and behavior in complex systems which brings together action, perception, and learning under the theoretical mantle of Bayesian inference. Active inference has seen growing applications in…

Artificial Intelligence · Computer Science 2022-05-06 Conor Heins , Beren Millidge , Daphne Demekas , Brennan Klein , Karl Friston , Iain Couzin , Alexander Tschantz

Astrochemical modeling is needed for understanding the formation and evolution of interstellar molecules, and for extracting physical information from spectroscopic observations of interstellar clouds. The modeling usually involves handling…

Solar and Stellar Astrophysics · Physics 2021-05-05 Fujun Du