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We suggest the necessary/sufficient criteria for the existence of a (order-by-order) solution y(x) of a functional equation F(x,y)=0 over a ring. In full generality, the criteria hold in the category of filtered groups, this includes the…

Commutative Algebra · Mathematics 2016-04-05 Genrich Belitskii , Dmitry Kerner

In this work, we present an abstract error analysis framework for the approximation of linear partial differential equation (PDE) problems in weak formulation. We consider approximation methods in fully discrete formulation, where the…

Numerical Analysis · Mathematics 2018-11-15 Daniele A. Di Pietro , Jérôme Droniou

The Euler--Maclaurin (EM) summation formula is used in many theoretical studies and numerical calculations. It approximates the sum $\sum_{k=0}^{n-1} f(k)$ of values of a function $f$ by a linear combination of a corresponding integral of…

Classical Analysis and ODEs · Mathematics 2017-10-31 Iosif Pinelis

There is studied problem on existence of solutions to non-homogeneous differential equation of higher even order. Similar problem arises while studying soliton and soliton-like solutions to partial differential equations of integrable type.…

Mathematical Physics · Physics 2018-01-25 Valerii H. Samoilenko , Yuliia I. Samoilenko

We provide the detailed proof of a strengthened version of the M. Artin Approximation Theorem.

Complex Variables · Mathematics 2015-05-19 Arkadiusz Ploski

We consider a wide class of semi linear Hamiltonian partial differential equa- tions and their approximation by time splitting methods. We assume that the nonlinearity is polynomial, and that the numerical tra jectory remains at least uni-…

Numerical Analysis · Mathematics 2009-12-16 Erwan Faou , Benoit Grebert

In this paper, we propose a two-level overlapping additive Schwarz domain decomposition preconditioner for the symmetric interior penalty discontinuous Galerkin method for the second order elliptic boundary value problem with highly…

Numerical Analysis · Mathematics 2018-10-16 Erik Eikeland , Leszek Marcinkowski , Talal Rahman

This paper provides a new approach to derive various arbitrary high order finite difference formulae for the numerical differentiation of analytic functions. In this approach, various first and second order formulae for the numerical…

Numerical Analysis · Mathematics 2020-05-26 Saint-Cyr E. R. Koyaguerebo-Imé , Yves Bourgault

Using the theory of analytic functions of several complex variables, we prove that if an analytic function in several variables satisfies a system of $q$-partial differential equations, then, it can be expanded in terms of the product of…

Combinatorics · Mathematics 2018-05-21 Zhi-Guo Liu

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

The past decade has seen increasing interest in applying Deep Learning (DL) to Computational Science and Engineering (CSE). Driven by impressive results in applications such as computer vision, Uncertainty Quantification (UQ), genetics,…

Numerical Analysis · Mathematics 2024-07-18 Ben Adcock , Simone Brugiapaglia , Nick Dexter , Sebastian Moraga

The existence of sufficiently many finite order meromorphic solutions of a differential equation, or difference equation, or differential-difference equation, appears to be a good indicator of integrability. In this paper, we investigate…

Classical Analysis and ODEs · Mathematics 2018-08-14 Li-Hao Wu , Ran-Ran Zhang , Zhi-Bo Huang

We establish optimal order a priori error estimates for implicit-explicit BDF methods for abstract semilinear parabolic equations with time-dependent operators in a complex Banach space settings, under a sharp condition on the…

Numerical Analysis · Mathematics 2016-06-07 Georgios Akrivis , Buyang Li

A type of discrete Boltzmann model for simulating shallow water flows is derived by using the Hermite expansion approach. Through analytical analysis, we study the impact of truncating distribution function and discretizing particle…

Fluid Dynamics · Physics 2018-07-16 Jianping Meng , Xiao-Jun Gu , David R Emerson , Yong Peng , Jianmin Zhang

Stochastic evolution equations in Banach spaces with unbounded nonlinear drift and diffusion operators are considered. Under some regularity condition assumed for the solution, the rate of convergence of implicit Euler approximations is…

Probability · Mathematics 2008-02-20 Istvan Gyöngy , Annie Millet

In this note, we discuss a generalization of the well-known implicit function theorem to the time-delay case. We show that the latter problem is closely related to the bicausal changes of coordinates of time-delay systems. An iterative…

Systems and Control · Electrical Eng. & Systems 2022-12-21 Yahao Chen , Malek Ghanes , Jean-Pierre Barbot

In this paper we obtain large $z$ asymptotic expansions in the complex plane for the tau function corresponding to special function solutions of the Painlev\'e II differential equation. Using the fact that these tau functions can be written…

Classical Analysis and ODEs · Mathematics 2018-10-04 Alfredo Deaño

The Euler--Maclaurin (EM) summation formula is used in many theoretical studies and numerical calculations. It approximates the sum $\sum_{k=0}^{n-1} f(k)$ of values of a function $f$ by a linear combination of a corresponding integral of…

Classical Analysis and ODEs · Mathematics 2017-07-26 Iosif Pinelis

We formulate a conjecture classifying algebraic solutions to (possibly non-linear) algebraic differential equations, in terms of the primes appearing in the denominators of the coefficients of their Taylor expansion at a non-singular point.…

Algebraic Geometry · Mathematics 2025-01-24 Yeuk Hay Joshua Lam , Daniel Litt

Derivative-Informed Operator Learning (DIOL), i.e. learning a (nonlinear) operator and its derivatives, is an open research frontier at the foundations of the influential field of Operator Learning (OL). In particular, Universal…

Machine Learning · Computer Science 2026-05-18 Filippo de Feo