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We prove the Yamada-Watanabe Theorem for semilinear stochastic partial differential equations with path-dependent coefficients. The so-called "method of the moving frame" allows us to reduce the proof to the Yamada-Watanabe Theorem for…

Probability · Mathematics 2025-11-21 Stefan Tappe

We review and extend a technique for recovering a smooth function from its averages over a wide class of curves in a general region of Euclidean space. The method is based on complexification of the underlying vector fields defining the…

Complex Variables · Mathematics 2011-02-10 Nicholas Hoell

The variable separated ODE method is extended by choosing the additional variable separated equation as the general elliptic equation. More exact traveling wave solutions of nonlinear equations are obtained by using the method of comparison…

Analysis of PDEs · Mathematics 2018-11-14 Sirendaoreji

Ordinary differential equations (ODE's) are widespread models in physics, chemistry and biology. In particular, this mathematical formalism is used for describing the evolution of complex systems and it might consist of high-dimensional…

Statistics Theory · Mathematics 2008-12-22 Nicolas J-B. Brunel

We consider a diffuse interface approach for solving an elliptic PDE on a given closed hypersurface. The method is based on a (bulk) finite element scheme employing numerical quadrature for the phase field function and hence is very easy to…

Numerical Analysis · Mathematics 2020-02-19 John W. Barrett , Klaus Deckelnick , Vanessa Styles

In the work (arXiv:1109.3846 [gr-qc]), to obtain a simple and economic formulation of field equations for generalised theories of gravity described by the Lagrangian $\sqrt{-g}L\big(g^{\alpha\beta},R_{\mu\nu\rho\sigma}\big)$, the key…

General Relativity and Quantum Cosmology · Physics 2024-08-29 Jun-Jin Peng

A new characterization of convexity of a planar domain is obtained. Its derivation involves two classical facts: the Varadhan's formula, expressing the distance function with respect to the domain's boundary via real-valued solutions of the…

Analysis of PDEs · Mathematics 2024-03-27 Nikolay Kuznetsov

In the present paper we introduce a Virtual Element Method (VEM) for the approximate solution of general linear second order elliptic problems in mixed form, allowing for variable coefficients. We derive a theoretical convergence analysis…

Numerical Analysis · Mathematics 2015-06-25 L. Beirao da Veiga , F. Brezzi , L. D. Marini , A. Russo

We use Vessiot theory and exterior calculus to solve partial differential equations(PDEs) of the type uyy = F(x, y,u,ux,uy,uxx,uxy) and associated evolution equations. These equations are represented by the Vessiot distribution of vector…

Differential Geometry · Mathematics 2013-02-25 Naghmana Tehseen , Geoff Prince

We consider the problem of obtaining higher order in regularization parameter $\epsilon$ analytical results for master integrals with elliptics. The two commonly employed methods are provided by the use of differential equations and direct…

High Energy Physics - Phenomenology · Physics 2022-09-07 M. A. Bezuglov , A. I. Onishchenko

We discuss several aspects of the geometry of vector fields in (Poincare'-Dulac) normal form. Our discussion relies substantially on Michel theory and aims at a constructive approach to simplify the analysis of normal forms via a splitting…

Mathematical Physics · Physics 2019-01-18 Giuseppe Gaeta

Kahan introduced an explicit method of discretization for systems of first order differential equations with nonlinearities of degree at most two (quadratic vector fields). Kahan's method has attracted much interest due to the fact that it…

Numerical Analysis · Mathematics 2020-01-01 A. N. W. Hone , G. R. W. Quispel

Partial differential equations (PDEs) on surfaces appear in many applications throughout the natural and applied sciences. The classical closest point method (Ruuth and Merriman, J. Comput. Phys. 227(3):1943-1961, [2008]) is an embedding…

Numerical Analysis · Mathematics 2018-05-17 Argyrios Petras , Leevan Ling , Steven J. Ruuth

A procedure to obtain differentiation matrices is extended straightforwardly to yield new differentiation matrices useful to obtain derivatives of complex rational functions. Such matrices can be used to obtain numerical solutions of some…

Numerical Analysis · Mathematics 2007-05-23 Rafael G. Campos , Claudio Meneses

We introduce a Monte Carlo method for computing derivatives of the solution to a partial differential equation (PDE) with respect to problem parameters (such as domain geometry or boundary conditions). Derivatives can be evaluated at…

Graphics · Computer Science 2024-09-19 Bailey Miller , Rohan Sawhney , Keenan Crane , Ioannis Gkioulekas

We introduce a general, analytical framework to express and to approximate partial differential equations (PDEs) numerically on graphs and networks of surfaces---generalized by the term hypergraphs. To this end, we consider PDEs on…

Numerical Analysis · Mathematics 2022-07-04 Andreas Rupp , Markus Gahn , Guido Kanschat

Transportation processes, which play a prominent role in the life and social sciences, are typically described by discrete models on lattices. For studying their dynamics a continuous formulation of the problem via partial differential…

Symbolic Computation · Computer Science 2016-03-22 Christoph Koutschan , Helene Ranetbauer , Georg Regensburger , Marie-Therese Wolfram

We present a method for calculating the results of operation of differential operators operating on components of vector in generalized coordinates not restricted to orthogonal one. For this we use the relationships between covariant,…

General Physics · Physics 2025-08-27 Priyabrata Mitra , Dhrubaditya Mitra

We study a class of complex polynomial equations on a finite graph with a view to understanding how holistic phenomena emerge from combinatorial structure. Particular solutions arise from orthogonal projections of regular polytopes,…

Mathematical Physics · Physics 2011-09-16 Paul Baird

The energy preserving discrete gradient methods are generalized to finite-dimensional Riemannian manifolds by definition of a discrete approximation to the Riemannian gradient, a retraction, and a coordinate center function. The resulting…

Numerical Analysis · Mathematics 2018-05-22 Elena Celledoni , Sølve Eidnes , Brynjulf Owren , Torbjørn Ringholm