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We introduce a concept of a fractional-derivatives series and prove that any linear partial differential equation in two independent variables has a fractional-derivatives series solution with coefficients from a differentially closed field…

Analysis of PDEs · Mathematics 2008-11-11 D. Grigoriev

Algorithms for the computation of the real zeros of hypergeometric functions which are solutions of second order ODEs are described. The algorithms are based on global fixed point iterations which apply to families of functions satisfying…

Numerical Analysis · Mathematics 2025-10-20 Amparo Gil , Wolfram Koepf , Javier Segura

Feynman integrals are solutions to linear partial differential equations with polynomial coefficients. Using a triangle integral with general exponents as a case in point, we compare $D$-module methods to dedicated methods developed for…

High Energy Physics - Theory · Physics 2025-05-27 Johannes Henn , Elizabeth Pratt , Anna-Laura Sattelberger , Simone Zoia

In this paper we develop a theory of linear differential systems analogous to the classical one for ODEs, including the obtaining of fundamental matrices, the development of a variation of parameters formula and the expression of the…

Classical Analysis and ODEs · Mathematics 2017-07-05 Alberto Cabada , F. Adrián F. Tojo

We develop an approach analogous to classical Frobenius theory for the analysis of singularities of ODEs in the case of discrete dynamical systems. Our methodology is based on the Roman-Rota theory of finite operators and relies crucially…

Mathematical Physics · Physics 2024-07-17 Daniel Reyes , Miguel A. Rodríguez , Piergiulio Tempesta

We present a new algorithm for computing hyperexponential solutions of ordinary linear differential equations with polynomial coefficients. The algorithm relies on interpreting formal series solutions at the singular points as analytic…

Symbolic Computation · Computer Science 2013-01-14 Fredrik Johansson , Manuel Kauers , Marc Mezzarobba

Based on functional analysis, we propose an algorithm for finite-norm solutions of higher-order linear Fuchsian-type ordinary differential equations (ODEs) P(x,d/dx)f(x)=0 with P(x,d/dx):=[\sum_m p_m (x) (d/dx)^m] by using only the four…

Numerical Analysis · Mathematics 2011-06-24 Fuminori Sakaguchi , Masahito Hayashi

We study second order and third order linear differential equations with analytic coefficients under the viewpoint of finding formal solutions and studying their convergence. We address some untouched aspects of Frobenius methods for second…

Classical Analysis and ODEs · Mathematics 2019-06-12 V. León , B. Scárdua

It is shown that large classes of nonlinear systems of PDEs, with possibly associated initial and/or boundary value problems, can be solved by the method of order completion. The solutions obtained can be assimilated with Hausdorff…

Analysis of PDEs · Mathematics 2007-05-23 Roumen Anguelov , Elemer E Rosinger

We give a criterion for maps on ultrametric spaces to be surjective and to preserve spherical completeness. We show how Hensel's Lemma and the multi-dimensional Hensel's Lemma follow from our result. We give an easy proof that the latter…

Commutative Algebra · Mathematics 2013-04-02 Franz-Viktor Kuhlmann

The construction of the general solution sequence of row-finite linear systems is accomplished by implementing -ad infinitum- the Gauss-Jordan algorithm under a rightmost pivot elimination strategy. The algorithm generates a basis (finite…

Functional Analysis · Mathematics 2014-03-12 Alexandros G. Paraskevopoulos

Solutions to a class of differential systems that generalize the Halphen system are determined in terms of automorphic functions whose groups are commensurable with the modular group. These functions all uniformize Riemann surfaces of genus…

solv-int · Physics 2009-10-31 J. Harnad , J. McKay

In this paper we develop a new approach for studying differential operators of an isolated singularity graded hypersurface ring $R$ defining a surface in affine three-space over a field of characteristic zero. With this method, we construct…

The following document presents some novel numerical methods valid for one and several variables, which using the fractional derivative, allow to find solutions for some non-linear systems in the complex space using real initial conditions.…

Numerical Analysis · Mathematics 2024-04-25 A. Torres-Hernandez , F. Brambila-Paz

The problem of finding roots or solutions of a nonlinear partial differential equation may be formulated as the problem of minimizing a sum of squared residuals. One then defines an evolution equation so that in the asymptotic limit a…

Analysis of PDEs · Mathematics 2011-12-15 Parimah Kazemi , Robert Renka

We solve some forms of non homogeneous differential equations in one and two dimensions. By expanding the solution into whell-posed closed form-Eisenstein series the solution itself is quite simple and elementary. Also we consider Fourier…

General Mathematics · Mathematics 2010-09-15 Nikos Bagis

A new analytical operator method is discussed which solves linear ordinary differential equations with regular singularities. Solutions are obtained in analytic series form and also in Mellin-Barnes-type contour integral form. Exact series…

Mathematical Physics · Physics 2009-02-06 Wrick Sengupta

When studying boundary value problems for some partial differential equations arising in applied mathematics, we often have to study the solution of a system of partial differential equations satisfied by hypergeometric functions and find…

Classical Analysis and ODEs · Mathematics 2020-05-26 Michael Ruzhansky , Anvar Hasanov

There are many methods for finding a particular solution to a nonhomogeneous linear ordinary differential equation (ODE) with constant coefficients. The method of undetermined coefficients, Laplace transform method and differential operator…

General Mathematics · Mathematics 2021-03-08 Jozef Fecenko

We introduce a new family of deep neural network models. Instead of specifying a discrete sequence of hidden layers, we parameterize the derivative of the hidden state using a neural network. The output of the network is computed using a…

Machine Learning · Computer Science 2019-12-17 Ricky T. Q. Chen , Yulia Rubanova , Jesse Bettencourt , David Duvenaud
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