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We propose estimators based on kernel ridge regression for nonparametric causal functions such as dose, heterogeneous, and incremental response curves. Treatment and covariates may be discrete or continuous in general spaces. Due to a…

Econometrics · Economics 2022-10-25 Rahul Singh , Liyuan Xu , Arthur Gretton

We study the hydrodynamic limits of three kinds of one-dimensional stochastic log-gases known as Dyson's Brownian motion model, its chiral version, and the Bru-Wishart process studied in dynamical random matrix theory. We define the…

Probability · Mathematics 2022-07-05 Taiki Endo , Makoto Katori , Noriyoshi Sakuma

In this paper we investigate convergence for the Variational Iteration Method (VIM) which was introduced and described in \cite{He0},\cite{He1}, \cite{He2}, and \cite{He3}. We prove the convergence of the iteration scheme for a linear…

Numerical Analysis · Mathematics 2024-07-22 Pavel Drabek , Stephen B Robinson , Shohreh Gholizadeh Siahmazgi

A one dimensional fractional diffusion model with the Riemann-Liouville fractional derivative is studied. First, a second order discretization for this derivative is presented and then an unconditionally stable weighted average finite…

Numerical Analysis · Mathematics 2011-09-13 Ercília Sousa , Can Li

In this survey we discuss the frequency function method so as to study the problem of unique continuation for elliptic partial differential equations. The methods used in the note were mainly introduced by Garofalo and Lin.

Analysis of PDEs · Mathematics 2013-04-23 Seppo Granlund , Niko Marola

We prove existence of a bounded weak solution to a degenerate quasilinear subdiffusion problem with bounded measurable coefficients that may explicitly depend on time. The kernel in the involved integro-differential operator w.r.t. time…

Analysis of PDEs · Mathematics 2020-08-26 Petra Wittbold , Patryk Wolejko , Rico Zacher

We introduce a novel kernel-based framework for learning differential equations and their solution maps that is efficient in data requirements, in terms of solution examples and amount of measurements from each example, and computational…

Machine Learning · Statistics 2025-04-07 Yasamin Jalalian , Juan Felipe Osorio Ramirez , Alexander Hsu , Bamdad Hosseini , Houman Owhadi

The relaxation functions introduced empirically by Debye, Cole-Cole, Cole-Davidson and Havriliak-Negami are, each of them, solutions to their respective kinetic equations. In this work, we propose a generalization of such equations by…

Mathematical Physics · Physics 2015-10-07 Ester C. F. A. Rosa , E. Capelas de Oliveira

Fourier series multiscale method, a concise and efficient analytical approach for multiscale computation, will be developed out of this series of papers. In the fifth paper, the usual structural analysis of plates on an elastic foundation…

Numerical Analysis · Mathematics 2022-08-25 Weiming Sun , Zimao Zhang

Correlation functions of the XXZ model in the massive and massless regimes are known to satisfy a system of linear equations. The main relations among them are the difference equations obtained from the qKZ equation by specializing the…

High Energy Physics - Theory · Physics 2015-06-26 H. Boos , M. Jimbo , T. Miwa , F. Smirnov , Y. Takeyama

By the approximation method introduced in \cite{FYW}, the existence and uniqueness are proved for a class of distribution-dependent stochastic functional differential equations (DDSFDEs). Moreover, combining the Harnack and shift-Harnack…

Probability · Mathematics 2018-01-26 Xing Huang

We prove functional equations for multiple Dirichlet series defined by a collection of five geometric axioms. We find functional equations of two types: one modeled on the functional equations of Dirichlet $L$-functions, and another modeled…

Number Theory · Mathematics 2026-02-13 Will Sawin , Ian Whitehead

Solution methods for linear equation systems in a commutative ring are discussed. Four methods are compared, in the setting of several different rings: Dodgson's method [1], Bareiss's method [2] and two methods of the author - method by…

Symbolic Computation · Computer Science 2017-12-01 Gennadi Malaschonok

In this note, a numerical method based on finite differences to solve a class of nonlinear advection-diffusion fractional differential equation is proposed. The fractional operator considered here is the fractional Riemann-Liouville…

Analysis of PDEs · Mathematics 2020-10-09 Jocemar Q. Chagas , Giuliano G. La Guardia , Ervin K. Lenzi

The linearization coefficient $\mathcal{L}(L_{n_1}(x)\dots L_{n_k}(x))$ of classical Laguerre polynomials $L_n(x)$ is known to be equal to the number of $(n_1,\dots,n_k)$-derangements, which are permutations with a certain condition.…

Combinatorics · Mathematics 2020-05-20 Byung-Hak Hwang , Jang Soo Kim , Jaeseong Oh , Sang-Hoon Yu

The polynomial Ramanujan sum was first introduced by Carlitz [7], and a generalized version by Cohen [10]. In this paper, we study the arithmetical and analytic properties of these sums, derive various fundamental identities, such as H…

Number Theory · Mathematics 2016-12-28 Zhiyong Zheng

By exploring the relations among functional equations, harmonic analysis and representation theory, we give a unified and very accessible approach to solve three important functional equations -- the d'Alembert equation, the Wilson…

Functional Analysis · Mathematics 2019-08-15 Dilian Yang

We give a new proof of an approximate functional equation, due to J. R. Wilton, for a trigonometric sum involving the divisor function. This allows us to improve on Wilton's error term and to give an explicit formula for an unspecified…

Number Theory · Mathematics 2015-08-13 Michel Balazard , Bruno Martin

This is an outline of Erlangen Program at Large. Study of objects and properties, which are invariant under a group action, is very fruitful far beyond the traditional geometry. In this paper we demonstrate this on the example of the group…

Complex Variables · Mathematics 2010-06-11 Vladimir V. Kisil

This paper proposes a method to address the longstanding problem of lack of monotonicity in estimation of conditional and structural quantile functions, also known as the quantile crossing problem. The method consists in sorting or monotone…

Methodology · Statistics 2017-10-04 Victor Chernozhukov , Ivan Fernandez-Val , Alfred Galichon
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