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Often a non-linear mechanical problem is formulated as a non-linear differential equation. A new method is introduced to find out new solutions of non-linear differential equations if one of the solutions of a given non-linear differential…

Chaotic Dynamics · Physics 2007-05-23 C. Radhakrishnan Nair

It is well-known that differential Painlev\'e equations can be written in a Hamiltonian form. However, a coordinate form of such representation is far from unique -- there are many very different Hamiltonians that result in the same…

Exactly Solvable and Integrable Systems · Physics 2024-08-06 Anton Dzhamay , Galina Filipuk , Adam Ligȩza , Alexander Stokes

Two new approaches to solving first-order quasilinear elliptic systems of PDEs in many dimensions are proposed. The first method is based on an analysis of multimode solutions expressible in terms of Riemann invariants, based on links…

Mathematical Physics · Physics 2014-10-01 A. M. Grundland , V. Lamothe

We consider a least-squares variational kernel-based method for numerical solution of second order elliptic partial differential equations on a multi-dimensional domain. In this setting it is not assumed that the differential operator is…

Numerical Analysis · Mathematics 2021-10-26 Salar Seyednazari , Mehdi Tatari , Davoud Mirzaei

Wavelets are a powerful new mathematical tool which offers the possibility to treat in a natural way quantities characterized by several length scales. In this article we will show how wavelets can be used to solve partial differential…

Computational Physics · Physics 2016-09-08 Stefan Goedecker , Oleg Ivanov

The differential transform method (DTM) is a relatively new technique that may be used to find a series solution to differential equations (both linear and nonlinear) through an iterative process. This brief manuscript is an initial effort…

Fluid Dynamics · Physics 2016-10-20 Aneet Dharmavaram Narendranath

Algorithms are presented for the tanh- and sech-methods, which lead to closed-form solutions of nonlinear ordinary and partial differential equations (ODEs and PDEs). New algorithms are given to find exact polynomial solutions of ODEs and…

Exactly Solvable and Integrable Systems · Physics 2007-05-23 D. Baldwin , U. Goktas , W. Hereman , L. Hong , R. S. Martino , J. Miller

The $\varepsilon$-form of a system of differential equations for Feynman integrals has led to tremendeous progress in our abilities to compute Feynman integrals, as long as they fall into the class of multiple polylogarithms. It is…

High Energy Physics - Phenomenology · Physics 2019-12-09 Stefan Weinzierl

Painleve analysis and the singular manifold method are the tools used in this paper to perform a complete study of an equation in 2+1 dimensions. This procedure has allowed us to obtain the Lax pair, Darboux transformation and tau functions…

solv-int · Physics 2007-05-23 Pilar Garcia Estevez

We give applications of known and new Liouville type theorems to universal singularity and decay estimates for non scale invariant elliptic problems, including Lane-Emden and Schr\"odinger type systems. This applies to various classes of…

Analysis of PDEs · Mathematics 2025-04-30 Pavol Quittner , Philippe Souplet

We present a new technique for constructing solutions of quasilinear systems of first-order partial differential equations, in particular inhomogeneous ones. A generalization of the Riemann invariants method to the case of inhomogeneous…

Mathematical Physics · Physics 2014-10-01 Alfred Michel Grundland , Vincent Lamothe

Capturing solution near the singular point of any nonlinear SBVPs is challenging because coefficients involved in the differential equation blow up near singularities. In this article, we aim to construct a general method based on…

Numerical Analysis · Mathematics 2021-09-21 Amit K. Verma , Diksha Tiwari , Carlo Cattani

Using the Painleve analysis preceded by appropriate transformations of nonlinear systems under investigation, we discover two new cases in which the Pietrzyk-Kanattsikov-Bandelow vector short pulse equation must be integrable due to the…

Exactly Solvable and Integrable Systems · Physics 2008-11-25 Sergei Sakovich

We revisit the original approach of using deep learning and neural networks to solve differential equations by incorporating the knowledge of the equation. This is done by adding a dedicated term to the loss function during the optimization…

Machine Learning · Computer Science 2023-04-05 Hubert Baty , Leo Baty

A multi-Poisson structure on a Lie algebra $\mathfrak{g}$ provides a systematic way to construct completely integrable Hamiltonian systems on $\mathfrak{g}$ expressed in Lax form $\partial X_\lambda /\partial t = [X_\lambda , A_\lambda ]$…

Classical Analysis and ODEs · Mathematics 2017-04-18 Hayato Chiba

Polynomials related to rational solutions of Painleve' equations satisfy certain difference equations. Conditions are given to acertain that all solutions really are polynomials.

Classical Analysis and ODEs · Mathematics 2016-09-07 Gert Almkvist

This paper presents an iterative method suitable for inverting semilinear problems which are important kernels in many numerical applications. The primary idea is to employ a parametrization that is able to reduce semilinear problems into…

Numerical Analysis · Mathematics 2019-08-02 Prosper Torsu

The solutions of the discrete Painlev\'e equation I were constructed in terms of elliptic and hyperelliptic $\psi$ functions for algebraic curves of genera one and two. For the case of genus two, there appear higher order difference…

Mathematical Physics · Physics 2009-11-07 Shigeki Matsutani

As we know differential equations are very useful for electrical engineers to solve a variety of problems like: voltage across a capacitor, input versus output voltage, etc. Therefore, the goal of this paper is to find the solutions of…

Numerical Analysis · Mathematics 2026-01-07 Vijay Kumar Patel , Abhishekh , Dileep Kumar , Nitin Kumar

Traditional Monte Carlo integration using uniform random sampling exhibits degraded efficiency in low-regularity or high-dimensional problems. We propose a novel deep learning framework based on deterministic number-theoretic sampling…

Numerical Analysis · Mathematics 2025-07-03 Yu Yang , Pingan He , Xiaoling Peng , Qiaolin He