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Solutions to most nonlinear ordinary differential equations (ODEs) rely on numerical solvers, but this gives little insight into the nature of the trajectories and is relatively expensive to compute. In this paper, we derive analytic…

Dynamical Systems · Mathematics 2024-06-25 Estelle Basor , Rebecca Morrison

Exact solutions of some popular nonlinear ordinary differential equations are analyzed taking their Laurent series into account. Using the Laurent series for solutions of nonlinear ordinary differential equations we discuss the nature of…

Exactly Solvable and Integrable Systems · Physics 2012-01-04 Nikolay A. Kudryashov

We rewrite abstract delay equations to nonautonomous abstract Cauchy problems allowing us to introduce a Magnus-type integrator for the former. We prove the second-order convergence of the obtained Magnus-type integrator. We also show that…

Numerical Analysis · Mathematics 2022-07-04 Petra Csomós , Dávid Kunszenti-Kovács

In this study, we propose high-order implicit and semi-implicit schemes for solving ordinary differential equations (ODEs) based on Taylor series expansion. These methods are designed to handle stiff and non-stiff components within a…

Numerical Analysis · Mathematics 2024-09-19 S. Boscarino , E. Macca

Recent years have seen rapid advances in the data-driven analysis of dynamical systems based on Koopman operator theory and related approaches. On the other hand, low-rank tensor product approximations -- in particular the tensor train (TT)…

Numerical Analysis · Mathematics 2021-08-11 Feliks Nüske , Patrick Gelß , Stefan Klus , Cecilia Clementi

This paper is part of a series of papers in which the asymptotic theory and appropriate symbolic computer code are developed to compute the asymptotic expansion of the solution of an n-th order ordinary differential equation. The paper…

Spectral Theory · Mathematics 2025-10-20 B. M. Brown , M. S. P. Eastham , D. K. R. McCormack

We transformed the generalized exponential power series to another functional form suitable for further analysis. By applying the Cauchy-Euler differential operator in the form of an exponential operator, the series became a sum of…

General Mathematics · Mathematics 2017-01-04 Henrik Stenlund

Using the matrix product state (MPS) representation of tensor train decompositions, in this paper we propose a tensor completion algorithm which alternates over the matrices (tensors) in the MPS representation. This development is motivated…

Numerical Analysis · Computer Science 2016-10-03 Wenqi Wang , Vaneet Aggarwal , Shuchin Aeron

We present an improved variant of the in-medium similarity renormalization group (IM-SRG) based on the Magnus expansion. In the new formulation, one solves flow equations for the anti-hermitian operator that, upon exponentiation, yields the…

Nuclear Theory · Physics 2015-10-07 T. D. Morris , N. Parzuchowski , S. K. Bogner

In this work, we present a new way to compute the Taylor polynomial of the matrix exponential which reduces the number of matrix multiplications in comparison with the de-facto standard Patterson-Stockmeyer method. This reduction is…

Numerical Analysis · Mathematics 2017-10-31 Philipp Bader , Sergio Blanes , Fernando Casas

The first order by time partial differential equations are used as models in applications such as fluid flow, heat transfer, solid deformation, electromagnetic waves, and others. In this paper we propose the new numerical method to solve a…

Numerical Analysis · Mathematics 2008-01-14 Ivan Kazachkov

A systematic way of formulating the Batalin-Vilkovisky method of quantization was obtained in terms of the ``odd time'' formulation. We show that in a class of gauge theories it is possible to find an ``odd time lagrangian'' yielding, by a…

High Energy Physics - Theory · Physics 2007-05-23 O. F. Dayi

Formal Laurent-Puiseux series are important in many branches of mathematics. This paper presents a {\it Mathematica} implementation of algorithms developed by the author for converting between certain classes of functions and their…

Classical Analysis and ODEs · Mathematics 2025-10-20 Wolfram Koepf

In this work, we illustrate and explore the use of Taylor series as solutions of differential equations. For a large a number of classes of differential equations in the literature, there are plenty of sources where the well known Taylor…

Mathematical Physics · Physics 2025-08-06 Alberto Contreras-Cristan , Jose Gonzalez-Barrios , Raul Rueda

In this paper, we are concerned with a formulation of Magnus and Floquet-Magnus expansions for general nonlinear differential equations. To this aim, we introduce suitable continuous variable transformations generated by operators. As an…

Mathematical Physics · Physics 2019-10-29 Fernando Casas , Philippe Chartier , Ander Murua

In this paper we study the Taylor series of an operator-valued function related to the differential of the exponential map. For a smooth manifold $\mathcal{M}$ with a torsion-free affine connection the operator $\mathcal{E}_p(v)$ acting on…

Differential Geometry · Mathematics 2012-05-15 A. V. Gavrilov

Two families of symplectic methods specially designed for second-order time-dependent linear systems are presented. Both are obtained from the Magnus expansion of the corresponding first-order equation, but otherwise they differ in…

Numerical Analysis · Mathematics 2024-04-22 Philipp Bader , Sergio Blanes , Fernando Casas , Nikita Kopylov , Enrique Ponsoda

A novel approach is introduced for deriving exact solutions to nonlinear systems of ordinary differential equations. This method consists of four parts. In the initial part, the examined nonlinear differential equation system is transformed…

Exactly Solvable and Integrable Systems · Physics 2025-08-25 Prakash Kumar Das

Many articles have recently been devoted to Mahler equations, partly because of their links with other branches of mathematics such as automata theory. Hahn series (a generalization of the Puiseux series allowing arbitrary exponents of the…

Symbolic Computation · Computer Science 2024-12-09 C. Faverjon , Julien Roques

Taylor's formula holds significant importance in function representation, such as solving differential difference equations, ordinary differential equations, partial differential equations, and further promotes applications in visual…

Machine Learning · Computer Science 2025-07-15 Guoyou Wang , Yihua Tan , Shiqi Liu