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In this paper, we study a class of convolution operators on the space of distributions that enlarge the well-studied class of passive operators. In this larger class, we are able to associate, to each operator, a holomorphic function in the…

Functional Analysis · Mathematics 2018-11-27 Mitja Nedic

Starting with the average particle distribution function for bosons and fermions for non-extensive thermodynamics , as proposed in \cite{CMP}, we obtain the corresponding density matrix operators and hamiltonians. In particular, for the…

Statistical Mechanics · Physics 2018-09-26 Marcelo R. Ubriaco

We introduce some general classes of pseudodifferential operators with symbols admitting exponential type growth at infinity and we prove mapping properties for these operators on Gelfand-Shilov spaces both in the quasi-analytic and in the…

Functional Analysis · Mathematics 2016-01-21 Marco Cappiello , Joachim Toft

We prove that the functor of noncommutative deformations of every flipping or flopping irreducible rational curve in a 3-fold is representable, and hence associate to every such curve a noncommutative deformation algebra. This new invariant…

Algebraic Geometry · Mathematics 2016-06-08 Will Donovan , Michael Wemyss

Multiparameter persistent homology has emerged as a powerful generalization of topological data analysis, capable of encoding multivariate filtrations. However, the algebraic complexity of multiparameter persistence modules, marked by wild…

Algebraic Topology · Mathematics 2026-04-14 Mauricio Angel

We consider a class of models for nonlinearly elastic surfaces in this work. We have in mind thin, highly deformable structures modeled directly as two-dimensional nonlinearly elastic continua, accounting for finite membrane and bending…

Analysis of PDEs · Mathematics 2021-05-17 Timothy J. Healey

A generalized-statistics variational principle for source separation is formulated by recourse to Tsallis' entropy subjected to the additive duality and employing constraints described by normal averages. The variational principle is…

Statistical Mechanics · Physics 2011-03-01 R. C. Venkatesan , A. Plastino

This paper studies point identification of the distribution of the coefficients in some random coefficients models with exogenous regressors when their support is a proper subset, possibly discrete but countable. We exhibit trade-offs…

Statistics Theory · Mathematics 2021-05-26 Christophe Gaillac , Eric Gautier

Non-commutative versions of Arveson's curvature invariant and Euler characteristic for a commuting $n$-tuple of operators are introduced. The non-commutative curvature invariant is sensitive enough to determine if an $n$-tuple is free. In…

Operator Algebras · Mathematics 2007-05-23 David W. Kribs

We establish the existence and sharp global regularity results ($C^{0, \gamma}$, $C^{0, 1}$ and $C^{1, \alpha}$ estimates) for a class of fully nonlinear elliptic PDEs with unbalanced variable degeneracy. In a precise way, the degeneracy…

Analysis of PDEs · Mathematics 2021-08-20 João Vitor da Silva , Elzon C. B. Júnior , Giane Rampasso , Gleydson C. Ricarte

We propose a new approach to the old-standing problem of the anomaly of the scaling exponents of nonlinear models of turbulence. We achieve this by constructing, for any given nonlinear model, a linear model of passive advection of an…

Chaotic Dynamics · Physics 2009-11-11 Luiza Angheluta , Roberto Benzi , Luca Biferale , Itamar Procaccia , Federico Toschi

A subset of a model of ${\sf PA}$ is called neutral if it does not change the $\mathrm{dcl}$ relation. A model with undefinable neutral classes is called neutrally expandable. We study the existence and non-existence of neutral sets in…

Logic · Mathematics 2021-06-07 Athar Abdul-Quader , Roman Kossak

Nonparametric extension of tensor regression is proposed. Nonlinearity in a high-dimensional tensor space is broken into simple local functions by incorporating low-rank tensor decomposition. Compared to naive nonparametric approaches, our…

Machine Learning · Statistics 2016-03-09 Masaaki Imaizumi , Kohei Hayashi

We study some classes of semi-linear differential equations including both well-posed and ill-posed cases that can generate cocycles (or cocycle correspondences with generating cocycles). Under exponential dichotomy condition with other…

Dynamical Systems · Mathematics 2019-03-20 DeLiang Chen

A universality of deformed Heisenberg algebra involving the reflection operator is revealed. It is shown that in addition to the well-known infinite-dimensional representations related to parabosons, the algebra has also finite-dimensional…

High Energy Physics - Theory · Physics 2009-10-30 Mikhail Plyushchay

We study monotone skew-product semiflows generated by families of nonautonomous neutral functional differential equations with infinite delay and stable D-operator, when the exponential ordering is considered. Under adequate hypotheses of…

Dynamical Systems · Mathematics 2024-02-02 Sylvia Novo , Rafael Obaya , Víctor M. Villarragut

We study deformation quantization of nonassociative algebras whose associator satisfies some symmetric relations. This study is expanded to a larger class of nonassociative algebras includind Leibniz algebras. We apply also to this class…

Rings and Algebras · Mathematics 2020-05-27 Elisabeth Remm

Escort mean values (or $q$-moments) constitute useful theoretical tools for describing basic features of some probability densities such as those which asymptotically decay like {\it power laws}. They naturally appear in the study of many…

Statistical Mechanics · Physics 2015-05-13 Constantino Tsallis , Angel R. Plastino , Ramon F. Alvarez-Estrada

The versatility of exponential families, along with their attendant convexity properties, make them a popular and effective statistical model. A central issue is learning these models in high-dimensions, such as when there is some sparsity…

Machine Learning · Computer Science 2015-05-19 Sham M. Kakade , Ohad Shamir , Karthik Sridharan , Ambuj Tewari

We study the nonparametric estimators of the infinitesimal coefficients of the second-order jump-diffusion models. Under the mild conditions, we obtain the weak consistency and the asymptotic normalities of the estimators.

Statistics Theory · Mathematics 2017-07-07 Zheng-Yan Lin , Yu-Ping Song , Han-Chao Wang