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The aim of this work is to offer a family of invariants that allows us to classify finite potent endomorphisms on arbitrary vector spaces, generalizing the classification of endomorphisms on finite-dimensional vector spaces. As a particular…

环与代数 · 数学 2020-07-07 Fernando Pablos Romo

Norm estimates for strongly continuous semigroups have been successfully studied in numerous settings, but at the moment there are no corresponding studies in the case of solution operators of singular integral equations. Such equations…

泛函分析 · 数学 2020-12-22 Tiffany Frugé Jones , Joshua Lee Padgett , Qin Sheng

We introduce a two-parameter modification of the cofinality invariant of ideals. This allows us to include the interaction of a pair of ideals in the study of base-like structures. We find the values (cardinal numbers or well-known cardinal…

一般拓扑 · 数学 2025-02-13 Adam Marton , Miroslav Repický

In this paper we generalize the involutive methods and algorithms devised for polynomial ideals to differential ones generated by a finite set of linear differential polynomials in the differential polynomial ring over a zero characteristic…

偏微分方程分析 · 数学 2025-10-20 Vladimir P. Gerdt

We introduce a new type of reduction of inversive difference polynomials that is associated with a partition of the basic set of automorphisms $\sigma$ and uses a generalization of the concept of effective order of a difference polynomial.…

环与代数 · 数学 2023-09-12 Alexander Levin

Generalized Reynolds ideals are ideals of the center of a symmetric algebra over a field of positive characteristic. They have been shown by the second author to be invariant under derived equivalences. In this paper we determine the…

表示论 · 数学 2008-07-08 Thorsten Holm , Alexander Zimmermann

Generalizing the algebra of motion-invariant differential operators on a symmetric space we study invariant operators on equivariant vector bundles. We show that the eigenequation is equivalent to the corresponding eigenequation with…

偏微分方程分析 · 数学 2007-05-23 Anton Deitmar

Often machine learning and statistical models will attempt to describe the majority of the data. However, there may be situations where only a fraction of the data can be fit well by a linear regression model. Here, we are interested in a…

机器学习 · 计算机科学 2021-11-16 Brendan Juba , Leda Liang

Anomaly detection (AD) is essential for industrial inspection and medical diagnosis, yet existing methods typically rely on ``comparing'' test images to normal references from a training set. However, variations in appearance and…

计算机视觉与模式识别 · 计算机科学 2025-07-01 Wei Luo , Haiming Yao , Yunkang Cao , Qiyu Chen , Ang Gao , Weiming Shen , Wenyong Yu

The central question of this paper is: how do algebraic invariants of edge ideals change under natural graph operations? We study this question through the lens of suspensions. The (full) suspension of a graph is obtained by adjoining a new…

交换代数 · 数学 2026-03-09 Selvi Kara , Dalena Vien

Neural networks have the ability to serve as universal function approximators, but they are not interpretable and don't generalize well outside of their training region. Both of these issues are problematic when trying to apply standard…

机器学习 · 计算机科学 2023-08-21 Colby Fronk , Linda Petzold

Neural codes form an algebraic framework to study the nervous system, and understanding neural codes is a key goal of mathematical neuroscience. Neural rings and ideals are the tools connecting neuroscience and commutative algebra. In this…

交换代数 · 数学 2025-11-25 Trung Chau

Integral discriminants provide a simple and fundamental model for non-Gaussian integrals, associated with homogeneous polynomials of degree r in n variables. We argue that, in this context, the study of correlators is equally if not more…

高能物理 - 理论 · 物理学 2026-02-12 A. Morozov , Sh. Shakirov

We investigate the analytic spread of binomial edge ideals of finite simple graphs. We provide tight bounds for this invariant in general. For special families of graphs (e.g., closed graphs, pseudo-forests), we compute the exact value for…

Phase transitions with spontaneous symmetry breaking and vector order parameter are considered in multidimensional theory of general relativity. Covariant equations, describing the gravitational properties of topological defects, are…

广义相对论与量子宇宙学 · 物理学 2010-12-06 Boris E. Meierovich

Neural ordinary differential equations (Neural ODEs) propose the idea that a sequence of layers in a neural network is just a discretisation of an ODE, and thus can instead be directly modelled by a parameterised ODE. This idea has had…

机器学习 · 计算机科学 2024-05-07 Christina Runkel , Ander Biguri , Carola-Bibiane Schönlieb

In this work, following [Bit15] and [Bit16a], we consider analytic singular vector fields in $(\mathbb{C}^{3},0)$ with an isolated and doubly-resonant singularity of saddle-node type at the origin. Such vector fields come from irregular…

动力系统 · 数学 2016-11-21 Amaury Bittmann

We investigate sets of the common zeros of non-constant semi-invariants for regular modules over canonical algebras. In particular, we show that if the considered algebra is tame then for big enough vectors these sets are complete…

表示论 · 数学 2007-10-23 Grzegorz Bobinski

Extending the work of the first author, we introduce a notion of semisimple topological field theory in arbitrary even dimension and show that such field theories necessarily lead to stable diffeomorphism invariants. The main result of this…

代数拓扑 · 数学 2026-02-18 David Reutter , Christopher Schommer-Pries

We classify, up to a natural equivalence relation, vector fields of the plane which belong to the kernel of a 1--form. This form can be closed, in which case the vector fields are integrable, or not, in which case the differential of the…

动力系统 · 数学 2024-11-13 Stavros Anastassiou