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We prove rapid decay (even exponential decay under some stronger assumptions) of the eigenfunctions associated to discrete eigenvalues, for a class of self-adjoint operators in $L^2(\mathbb{R}^d)$ defined by ``magnetic'' pseudodifferential…

Analysis of PDEs · Mathematics 2013-04-10 Viorel Iftimie , Radu Purice

Multireference alignment (MRA) is the problem of estimating a signal from many noisy and cyclically shifted copies of itself. In this paper, we consider an extension called heterogeneous MRA, where $K$ signals must be estimated, and each…

Information Theory · Computer Science 2018-02-02 Nicolas Boumal , Tamir Bendory , Roy R. Lederman , Amit Singer

Using a previous novel way of defining kernel functions for Laplacian integral operators on a compact $p$-adic analytic manifold $X$, one such operator $\Delta_0^s$ with $s\in\mathds{R}$ is applied to hearing the Serre invariant $i(X)$ by…

Number Theory · Mathematics 2025-11-26 Patrick Erik Bradley , Ángel Morán Ledezma

The multi-reference alignment (MRA) problem involves reconstructing a signal from multiple noisy observations, each transformed by a random group element. In this paper, we focus on the group \(\mathrm{SO}(2)\) of in-plane rotations and…

Numerical Analysis · Mathematics 2025-05-07 Gil Drozatz , Tamir Bendory , Nir Sharon

Mat\'ern covariance functions are ubiquitous in spatial statistics, valued for their interpretable parameters and well-understood sample path properties in Euclidean settings. This paper examines whether these desirable properties transfer…

Statistics Theory · Mathematics 2025-11-13 Nicolas Escobar-Velasquez

A refinement of manifold data is a computational process, which produces a denser set of discrete data from a given one. Such refinements are closely related to multiresolution representations of manifold data by pyramid transforms, and…

Numerical Analysis · Mathematics 2016-11-18 Nira Dyn , Nir Sharon

The purpose of this paper is to prove pointwise inequalities and to establish the boundedness on weighted $L^{p}$ spaces for pseudo-differential operators $T_{a}$ defined by the symbol $a\in S^{m}_{\varrho,\delta}$ with $0\leq\varrho\leq1,$…

Analysis of PDEs · Mathematics 2022-06-22 Guangqing Wang

To effectively capture singularities in high-dimensional data and functions, multivariate compactly supported tight framelets, having directionality and derived from refinable box splines, are of particular interest in both theory and…

Information Theory · Computer Science 2017-08-29 Bin Han , Tao Li , Xiaosheng Zhuang

In previous work a higher rank generalization $R(n)$ of the Racah algebra was defined abstractly. The special case of rank one encodes the bispectrality of the univariate Racah polynomials and is known to admit an explicit realization in…

Classical Analysis and ODEs · Mathematics 2019-05-08 Hendrik De Bie , Wouter van de Vijver

A major theme in the theory of $p$-adic deformations of automorphic forms is how $p$-adic $L$-functions over eigenvarieties relate to the geometry of these eigenvarieties. In this article we prove results in this vein for the ordinary part…

Number Theory · Mathematics 2015-07-09 Joe Kramer-Miller

We construct a $p$-adic $L$-function for $P$-ordinary Hida families of cuspidal automorphic representations on a unitary group $G$. The main new idea of our work is to incorporate the theory of Schneider-Zink types for the Levi quotient of…

Number Theory · Mathematics 2024-09-11 David Marcil

The multivariate adaptive regression spline (MARS) is one of the popular estimation methods for nonparametric multivariate regressions. However, as MARS is based on marginal splines, to incorporate interactions of covariates, products of…

Methodology · Statistics 2023-07-06 Yu Liu , Degui Li , Yingcun Xia

Finite rank point perturbations of the $p$-adic fractional differentiation operator $D^{\alpha}$ are studied. The main attention is paid to the description of operator realizations (in $L_2(\mathbb{Q}_p)$) of the heuristic expression…

Mathematical Physics · Physics 2012-08-31 S. Kuzhel , S. Torba

In this work, we study the affine-constrained $\ell_1$ regularizers, which frequently arise in statistical and machine learning problems across a variety of applications, including microbiome compositional data analysis and sparse subspace…

Optimization and Control · Mathematics 2025-10-09 Xudong Li , Meixia Lin , Kim-Chuan Toh

General description of eigenfunctions of integrable Hamiltonians associated with the integer rays of Ding-Iohara-Miki (DIM) algebra, is provided by the theory of Chalykh Baker-Akhiezer functions (BAF) defined as solutions to a simply…

High Energy Physics - Theory · Physics 2025-05-27 A. Mironov , A. Morozov , A. Popolitov

We study the basic computational problem of detecting approximate stationary points for continuous piecewise affine (PA) functions. Our contributions span multiple aspects, including complexity, regularity, and algorithms. Specifically, we…

Optimization and Control · Mathematics 2025-01-07 Lai Tian , Anthony Man-Cho So

We provide a general expression of the Haar measure $-$ that is, the essentially unique translation-invariant measure $-$ on a $p$-adic Lie group. We then argue that this measure can be regarded as the measure naturally induced by the…

Mathematical Physics · Physics 2024-06-21 Paolo Aniello , Sonia L'Innocente , Stefano Mancini , Vincenzo Parisi , Ilaria Svampa , Andreas Winter

The goal of this paper is to show a (derived) $p$-adic Simpson correspondence for (locally) unipotent coefficients on smooth rigid-analytic varieties. Our results depend on a deformation to $\mathbf{B}_\mathtt{dr}^+/\xi^2$, and not on a…

Algebraic Geometry · Mathematics 2024-03-08 Thiago Solovera e Nery

Second-order variational properties have been shown to play important theoretical and numerical roles for different classes of optimization problems. Among such properties, twice epi-differentiability has a special place because of its…

Optimization and Control · Mathematics 2026-02-06 Chao Ding , Ebrahim Sarabi , Shiwei Wang

Functional data analysis almost always involves smoothing discrete observations into curves, because they are never observed in continuous time and rarely without error. Although smoothing parameters affect the subsequent inference,…

Methodology · Statistics 2025-04-07 Sunny G. W. Wang , Valentin Patilea , Nicolas Klutchnikoff