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Motivated by an analysis on the well-posedness of the initial boundary value problem for the motion of an inextensible hanging string, we first consider an initial boundary value problem for one-dimensional degenerate hyperbolic systems…

Analysis of PDEs · Mathematics 2025-11-11 Tatsuo Iguchi , Masahiro Takayama

This paper investigates functions from $\mathbb{R}^d$ to $\mathbb{R} \cup \{\pm \infty\}$ that satisfy axioms of linearity wherever allowed by extended-value arithmetic. They have a nontrivial structure defined inductively on $d$, and…

Statistics Theory · Mathematics 2025-04-25 Bo Waggoner

This paper establishes the minimum entropy principle (MEP) for the relativistic Euler equations with a broad class of equations of state (EOSs) and addresses the challenge of preserving the local version of the discovered MEP in high-order…

Numerical Analysis · Mathematics 2025-03-18 Shumo Cui , Kailiang Wu , Linfeng Xu

In this article, the authors survey and review the studies of boundary value problems for regular functions in Clifford analysis, which include theoretical foundations and useful methods. Its theoretical bases consist of the generalized…

Complex Variables · Mathematics 2025-09-16 J. Y. Du , P. Dang

Integrating first-order logic constraints (FOLCs) with neural networks is a crucial but challenging problem since it involves modeling intricate correlations to satisfy the constraints. This paper proposes a novel neural layer, LogicMP,…

Artificial Intelligence · Computer Science 2025-10-10 Weidi Xu , Jingwei Wang , Lele Xie , Jianshan He , Hongting Zhou , Taifeng Wang , Xiaopei Wan , Jingdong Chen , Chao Qu , Wei Chu

Using a conjecture that allows to approach separable-variables conductivity functions, the elements of the Modern Pseudoanalytic Function Theory are used, for the first time, to numerically solve the Dirichlet boundary value problem of the…

Mathematical Physics · Physics 2012-02-23 M. P. Ramirez T

In this note we establish existence of solutions of singular boundary value problem $-(p(x)y^{\prime }(x))^{\prime}=q(x)f(x,y,py')$ for $0< x\leq b$ and $y'(0)=0$, $\alpha_{1}y(b)+\beta_{1}p(b)y^{\prime}(b)=\gamma_{1}$ with $p(0)=0$ and…

Classical Analysis and ODEs · Mathematics 2019-11-19 R. K. Pandey , A. K. Verma

In partial function extension, we are given a partial function consisting of $n$ points from a domain and a function value at each point. Our objective is to determine if this partial function can be extended to a function defined on the…

Data Structures and Algorithms · Computer Science 2018-12-17 Umang Bhaskar , Gunjan Kumar

We consider the abstract initial value problem for the system of evolution equations which describe motion of micropolar fluids with heat conduction in a bounded domain. This problem has uniquely a mild solution locally in time for general…

Analysis of PDEs · Mathematics 2010-06-07 Ryôhei Kakizawa

We study boundary value problems associated with singular, strongly nonlinear differential equations with functional terms of type $$\big(\Phi(k(t)\,x'(t))\big)' + f(t,\mathcal{G}_x(t))\,\rho(t, x'(t)) = 0$$ on a compact interval $[a,b]$.…

Classical Analysis and ODEs · Mathematics 2020-03-03 Stefano Biagi , Alessandro Calamai , Cristina Marcelli , Francesca Papalini

We investigate finite sets of rational functions $\{ f_{1},f_{2}, \dots, f_{r} \}$ defined over some number field $K$ satisfying that any $t_{0} \in K$ is a $K_{p}$-value of one of the functions $f_{i}$ for almost all primes $p$ of $K$. We…

Number Theory · Mathematics 2024-08-19 Benjamin Klahn , Joachim König

Let $1\le p\le \infty$. In this paper, we consider solving a nonlinear functional equation $$f(x)=y,$$ where $x, y$ belong to $\ell^p$ and $f$ has continuous bounded gradient in an inverse-closed subalgebra of ${\mathcal B}(\ell^2)$, the…

Functional Analysis · Mathematics 2013-04-10 Qiyu Sun

In this paper we consider the problem of learning a regression function without assuming its functional form. This problem is referred to as symbolic regression. An expression tree is typically used to represent a solution function, which…

Optimization and Control · Mathematics 2021-02-25 Jongeun Kim , Sven Leyffer , Prasanna Balaprakash

Integrating functions on discrete domains into neural networks is key to developing their capability to reason about discrete objects. But, discrete domains are (1) not naturally amenable to gradient-based optimization, and (2) incompatible…

Machine Learning · Computer Science 2022-11-15 Nikolaos Karalias , Joshua Robinson , Andreas Loukas , Stefanie Jegelka

We develop a functional model for operators arising in the study of boundary-value problems of materials science and mathematical physics. We then provide explicit formulae for the resolvents of the associated extensions of symmetric…

Analysis of PDEs · Mathematics 2022-05-10 Kirill D. Cherednichenko , Alexander V. Kiselev , Luis O. Silva

Nonlinear conservation laws subject to random initial conditions pose fundamental problems in the evolution and interactions of shocks and rarefactions. Using a discrete set of values for the solution, we derive a hierarchy of equations in…

Analysis of PDEs · Mathematics 2018-04-18 Carey Caginalp

We study the critical points of the solution of second elliptic equations in divergence and diagonal form with a bounded and positive definite coefficient, under the assumption that the statement of the Hopf lemma holds (sign assumptions on…

Analysis of PDEs · Mathematics 2026-01-13 Rolando Magnanini , Serge Nicaise , Madeline Chauvier

We focus on the initial boundary value problem for a general scalar balance law in one space dimension. Under rather general assumptions on the flux and source functions, we prove the well-posedness of this problem and the stability of its…

Analysis of PDEs · Mathematics 2018-09-18 Elena Rossi

We study the double obstacle problem for p-harmonic functions on arbitrary bounded nonopen sets E in quite general metric spaces. The Dirichlet and single obstacle problems are included as special cases. We obtain Adams' criterion for the…

Analysis of PDEs · Mathematics 2015-03-10 Anders Björn , Jana Björn

Neural network-based function approximation plays a pivotal role in the advancement of scientific computing and machine learning. Yet, training such models faces several challenges: (i) each target function often requires training a new…

Machine Learning · Computer Science 2025-10-13 Xinwen Hu , Yunqing Huang , Nianyu Yi , Peimeng Yin