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We introduce and systematically develop two classes of discrete integrable operators: those with $2\times 2$ matrix kernels and those possessing general differential kernels, thereby generalizing the discrete analogue previously studied. A…

Exactly Solvable and Integrable Systems · Physics 2025-11-10 Huan Liu

The differential constraints are applied to obtain explicit solutions of nonlinear diffusion equations. Certain linear determining equations with parameters are used to find such differential constraints. They generalize the determining…

Mathematical Physics · Physics 2009-11-07 Oleg V. Kaptsov , Igor V. Verevkin

In this paper we develop a numerical scheme based on quadratures to approximate solutions of integro-differential equations involving convolution kernels, $\nu$, of diffusive type. In particular, we assume $\nu$ is symmetric and…

Numerical Analysis · Mathematics 2020-11-03 Loic Cappanera , Gabriela Jaramillo , Cory Ward

In this paper we introduce and investigate a new kind of functional (including ordinary and evolutionary partial) differential equations. The main goal of this paper is to explore our new philosophy by some examples on functional ODEs and…

Analysis of PDEs · Mathematics 2014-02-14 De-Xing Kong , Cheng Zhang

The heat kernel associated with an elliptic second-order partial differential operator of Laplace type acting on smooth sections of a vector bundle over a Riemannian manifold, is studied. A general manifestly covariant method for…

High Energy Physics - Theory · Physics 2011-04-20 Ivan G. Avramidi

We prove some estimations of the correlation of two local observables in quantum spin systems (with Schr\"odinger equations) at large temperature. For that, we describe the heat kernel of the Hamiltonian for a finite subset of the lattice,…

Mathematical Physics · Physics 2007-05-23 Laurent Amour , Claudy Cancelier , Pierre Levy-Bruhl , Jean Nourrigat

This paper presents a new uniquely solvable boundary integral equation for computing the conformal mapping, its derivative and its inverse from bounded multiply connected regions onto the five classical canonical slit regions. The integral…

Complex Variables · Mathematics 2015-06-08 Mohamed M. S. Nasser , Ali H. M. Murid , Ali W. K. Sangawi

For many machine learning problem settings, particularly with structured inputs such as sequences or sets of objects, a distance measure between inputs can be specified more naturally than a feature representation. However, most standard…

Machine Learning · Statistics 2018-05-28 Lingfei Wu , Ian En-Hsu Yen , Fangli Xu , Pradeep Ravikumar , Michael Witbrock

Energy Correlators (EC) are the simplest IR finite observables, which connect theories and experiments. In this paper, we provide a systematic algorithm to calculate the canonical differential equations for energy correlators at generic…

High Energy Physics - Phenomenology · Physics 2025-06-04 Rourou Ma , Jianyu Gong , Jingwen Lin , Kai Yan , Gang Yang , Yang Zhang

Many equations of mathematical physics are described by differential polynomials, that is by polynomials in the derivatives of a certain number of functions. However, up to the knowledge of the author, differential algebra in a modern…

Mathematical Physics · Physics 2017-08-01 Jean-François Pommaret

A holonomic system of linear partial differential equations is, roughly speaking, a system whose solution space is finite dimensional. A distribution that is a solution of a holonomic system is called a holonomic distribution. We give…

Machine Learning · Computer Science 2024-11-01 Akihiro Sakoda , Nobuki Takayama

Let $(S,L)$ be a Lie-Rinehart algebra such that $L$ is $S$-projective and let $U$ be its universal enveloping algebra. In this paper we present a spectral sequence which converges to the Hochschild cohomology of $U$ with values on a…

K-Theory and Homology · Mathematics 2020-06-03 Francisco Kordon , Thierry Lambre

For given strongly local Dirichlet forms with possibly degenerate symmetric (sub)-elliptic matrix, we show the existence of weak solutions to the stochastic differential equations (associated with the Dirichlet forms) starting from all…

Probability · Mathematics 2018-06-18 Jiyong Shin

The solution of a partial differential equation can be obtained by computing the inverse operator map between the input and the solution space. Towards this end, we introduce a \textit{multiwavelet-based neural operator learning scheme}…

Machine Learning · Computer Science 2021-10-12 Gaurav Gupta , Xiongye Xiao , Paul Bogdan

A general method of obtaining linear differential equations having polynomial solutions is proposed. The method is based on an equivalence of the spectral problem for an element of the universal enveloping algebra of some Lie algebra in the…

High Energy Physics - Theory · Physics 2009-10-22 A. Turbiner

The stochastic dissipative Schrodinger equation is derived for an open quantum system consisting of a sub-system able to exchange energy with a thermal reservoir. The resultant evolution of the wave function also gives the evolution of the…

Statistical Mechanics · Physics 2014-06-03 Phil Attard

We develop a rough-path framework for two-parameter rough differential equations on rectangular and simplicial domains, motivated by the signature kernel and Schwinger--Dyson kernel equations. The theory is formulated in spaces of jointly…

Probability · Mathematics 2026-05-12 Thomas Cass , Dan Crisan , Andrea Iannucci , William F. Turner

In this paper, we propose a new concept of derivative with respect to an arbitrary kernel-function. Several properties related to this new operator, like inversion rules, integration by parts, etc. are studied. In particular, we introduce…

Classical Analysis and ODEs · Mathematics 2018-12-26 Mohamed Jleli , Mokhtar Kirane , Bessem Samet

A systematic and unified approach to transformations and symmetries of general second order linear parabolic partial differential equations is presented. Equivalence group is used to derive the Appell type transformations, specifically…

Mathematical Physics · Physics 2017-08-11 F. Gungor

We are concerned with the problem of recovering the radial kernel $k$, depending also on time, in the parabolic integro-differential equation $$D_{t}u(t,x)={\cal A}u(t,x)+\int_0^t k(t-s,|x|){\cal B}u(s,x)ds +\int_0^t D_{|x|}k(t-s,|x|){\cal…

Analysis of PDEs · Mathematics 2007-05-23 A. Favaron , A. Lorenzi
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