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Related papers: On Generalized Wronskians

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Brzozowski derivatives of a regular expression are developed for constructing deterministic automata from the given regular expression in the algebraic way. In this paper,some lemmas of the regular expressions are discussed and the regular…

Formal Languages and Automata Theory · Computer Science 2014-07-23 N. Murugesan , O. V. Shanmuga Sundaram

Lie algebra $\mathfrak{sl}(2)$ can be realised by vector fields on $\mathbb{R}^1\ni x$ with polynomial coefficients $1$, $-2x$, $-x^2$; their Wronskian determinants yield the Lie bracket. Likewise, the monomials $1$, $\ldots$, $x^k/k!$,…

Rings and Algebras · Mathematics 2026-05-27 Markuss G. Ķēniņš , Arthemy V. Kiselev

To each associative unitary finite-dimensional algebra over a normal base, we associative a canonical multiplicative function called its determinant. We give various properties of this construction, as well as applications to the topology…

Algebraic Geometry · Mathematics 2007-12-13 Matthieu Romagny

For generic binary forms $A_1,...,A_r$ of order $d$ we construct a class of combinants $C = \{\C_q: 0 \le q \le r, q \neq 1\}$, to be called the Wronskian combinants of the $A_i$. We show that the collection $C$ gives a projective imbedding…

Algebraic Geometry · Mathematics 2007-05-23 Abdelmalek Abdesselam , Jaydeep Chipalkatti

The Varchenko determinant is the determinant of the bilinear form associated to a real hyperplane arrangement. We show that we can obtain the exact value of this determinant for certain hyperplane arrangements if we know the edges which are…

Combinatorics · Mathematics 2017-12-27 Hery Randriamaro

The understanding and modeling of complex physical phenomena through dynamical systems has historically driven scientific progress, as it provides the tools for predicting the behavior of different systems under diverse conditions through…

Machine Learning · Computer Science 2025-10-03 Karin L. Yu , Eleni Chatzi , Georgios Kissas

Incorporating neural networks for the solution of Ordinary Differential Equations (ODEs) represents a pivotal research direction within computational mathematics. Within neural network architectures, the integration of the intrinsic…

Dynamical Systems · Mathematics 2024-01-10 Shanshan Xiao , Jiawei Zhang , Yifa Tang

The purpose of this paper is to make a few connections among specific concepts occurring in differential geometry and the theory of differential equations with the aim of identifying an intriguing class of undetermined nonlinear ordinary…

Classical Analysis and ODEs · Mathematics 2022-06-22 Nicoleta Bîlă

Given a $d$-dimensional vector space $V \subset \mathbb{C}[u]$ of polynomials, its Wronskian is the polynomial $(u + z_1) \cdots (u + z_n)$ whose zeros $-z_i$ are the points of $\mathbb{C}$ such that $V$ contains a nonzero polynomial with a…

Representation Theory · Mathematics 2023-09-12 Steven N. Karp , Kevin Purbhoo

The renewed interest in investigating quaternionic quantum mechanics, in particular tunneling effects, and the recent results on quaternionic differential operators motivate the study of resolution methods for quaternionic differential…

Mathematical Physics · Physics 2015-06-26 S. De Leo , G. C. Ducati

Given $mp$ different $p$-planes in general position in $(m+p)$-dimensional space, a classical problem is to ask how many $p$-planes intersect all of them. For example when $m = p = 2$, this is precisely the question of "lines meeting four…

Algebraic Topology · Mathematics 2022-06-03 Thomas Brazelton

We introduce a general third order non-linear autonomous ODE which covers many ODEs coming from boundary layer problems, like the Falkner-Skan equation and the Cheng-Minkowycz equation. Using Wiman-Valiron theory and complex analytic…

Complex Variables · Mathematics 2022-01-03 Robert Conte , Tuen-Wai Ng , Chengfa Wu

We generalize linear superalgebra to higher gradings and commutation factors, given by arbitrary abelian groups and bicharacters. Our central tool is an extension, to monoidal categories of modules, of the Nekludova-Scheunert faithful…

Rings and Algebras · Mathematics 2014-03-31 Tiffany Covolo , Jean-Philippe Michel

While an explicit basis is common in the study of Euclidean spaces, it is usually implied in the study of inertial relativistic systems. There are some conceptual advantages to including the basis in the study of special relativistic…

Classical Physics · Physics 2011-04-27 Peeter Joot

To a system of second order ordinary differential equations (SODE) one can assign a canonical nonlinear connection that describes the geometry of the system. In this work we develop a geometric setting that allows us to assign a canonical…

Differential Geometry · Mathematics 2011-10-24 Ioan Bucataru , Oana Constantinescu , Matias F. Dahl

We explore a nonlocal connection between certain linear and nonlinear ordinary differential equations (ODEs), representing physically important oscillator systems, and identify a class of integrable nonlinear ODEs of any order. We also…

Exactly Solvable and Integrable Systems · Physics 2009-11-11 V. K. Chandrasekar , M. Senthilvelan , Anjan Kundu , M. Lakshmanan

Geometry of sparse systems of polynomial equations (i.e. the ones with prescribed monomials and generic coefficients) is well studied in terms of their Newton polytopes. The results of this study are colloquially known as the…

Algebraic Geometry · Mathematics 2024-01-23 Alexander Esterov

A characteristic feature of differential-algebraic equations is that one needs to find derivatives of some of their equations with respect to time, as part of so called index reduction or regularisation, to prepare them for numerical…

Numerical Analysis · Mathematics 2017-03-28 John D. Pryce , Nedialko S. Nedialkov , Guangning Tan , Xiao Li

Probabilistic solvers for ordinary differential equations (ODEs) have emerged as an efficient framework for uncertainty quantification and inference on dynamical systems. In this work, we explain the mathematical assumptions and detailed…

Machine Learning · Statistics 2021-10-25 Nicholas Krämer , Nathanael Bosch , Jonathan Schmidt , Philipp Hennig

Parameter estimation for ordinary differential equations (ODEs) plays a fundamental role in the analysis of dynamical systems. Generally lacking closed-form solutions, ODEs are traditionally approximated using deterministic solvers.…

Computation · Statistics 2025-06-30 Mohan Wu , Martin Lysy