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Positive-definite matrices materialize as state transition matrices of linear time-invariant gradient flows, and the composition of such materializes as the state transition after successive steps where the driving potential is suitably…

Optimization and Control · Mathematics 2026-01-12 Mahmoud Abdelgalil , Tryphon T. Georgiou

The concept of moment differentiation is extended to the class of moment summable functions, giving rise to moment differential properties. The main result leans on accurate upper estimates for the integral representation of the moment…

Complex Variables · Mathematics 2020-07-20 Alberto Lastra , Slawomir Michalik , Maria Suwinska

Generalized linear models are flexible tools for the analysis of diverse datasets, but the classical formulation requires that the parametric component is correctly specified and the data contain no atypical observations. To address these…

Methodology · Statistics 2023-04-21 Ioannis Kalogridis , Gerda Claeskens , Stefan Van Aelst

We use a Hamiltonian (transition matrix) description of height-restricted Dyck paths on the plane in which generating functions for the paths arise as matrix elements of the propagator to evaluate the length and area generating function for…

Mathematical Physics · Physics 2022-02-10 Stéphane Ouvry , Alexios P. Polychronakos

A simple sparse coding mechanism appears in the sensory systems of several organisms: to a coarse approximation, an input $x \in \R^d$ is mapped to much higher dimension $m \gg d$ by a random linear transformation, and is then sparsified by…

Neural and Evolutionary Computing · Computer Science 2020-06-09 Sanjoy Dasgupta , Christopher Tosh

The simple product formulae for derivatives of scalar functions raised to different powers are generalized for functions which take values in the set of symmetric positive definite matrices. These formulae are fundamental in derivation of…

Analysis of PDEs · Mathematics 2025-07-24 Michal Bathory

A famous result due to Ko and Friedman (1982) asserts that the problems of integration and maximisation of a univariate real function are computationally hard in a well-defined sense. Yet, both functionals are routinely computed at great…

Computational Complexity · Computer Science 2019-10-23 Michal Konečný , Eike Neumann

There has recently been interest in relating properties of matrices drawn at random from the classical compact groups to statistical characteristics of number-theoretical L-functions. One example is the relationship conjectured to hold…

Mathematical Physics · Physics 2009-11-07 J. P. Keating , N. Linden , Z. Rudnick

Representing examples in a way that is compatible with the underlying classifier can greatly enhance the performance of a learning system. In this paper we investigate scalable techniques for inducing discriminative features by taking…

Machine Learning · Computer Science 2013-10-09 Nikos Karampatziakis , Paul Mineiro

When the Hamiltonian of a system is represented by a finite matrix, constructed from a discrete basis, the matrix representation of the resolvent covers only one branch. We show how all branches can be specified by the phase of a complex…

Atomic Physics · Physics 2009-10-31 Robin Shakeshaft , Bernard Piraux

We present a numerical method to compute the approximation of the memory functions in the generalized Langevin models for collective dynamics of macromolecules. We first derive the exact expressions of the memory functions, obtained from…

Numerical Analysis · Mathematics 2015-06-19 Minxin Chen , Xiantao Li , Chun Liu

We use generalized Taylor formulae in order to give some simple constructions in the real closure of an \ovfz. We deduce a new, simple quantifier elimination algorithm for \rcvfs and some theorems about constructible subsets of real…

Commutative Algebra · Mathematics 2022-02-14 Mari-Emi Alonso , Henri Lombardi

We study higher rank Jacobi partial and false theta functions (generalizations of the classical partial and false theta functions) associated to positive definite rational lattices. In particular, we focus our attention on certain Kostant's…

Quantum Algebra · Mathematics 2019-02-19 Thomas Creutzig , Antun Milas

We provide a Lawvere-style definition for partial theories, extending the classical notion of equational theory by allowing partially defined operations. As in the classical case, our definition is syntactic: we use an appropriate class of…

Logic in Computer Science · Computer Science 2020-11-16 Ivan Di Liberti , Fosco Loregian , Chad Nester , Paweł Sobociński

A proof that minimum uncertainty states of the simplest periodic quantum system exist in a state space that is represented by a Colombeau algebra of generalised functions but not in Hilbert space or in the space of Schwartz distributions is…

Mathematical Physics · Physics 2014-06-16 Ian G Fuss , Alexei Filinkov

Since its introduction in 2012, the factorization theory for rational motions quickly evolved and found applications in theoretical and applied mechanism science. We provide an accessible introduction to motion factorization with many…

Robotics · Computer Science 2015-06-30 Zijia Li , Tudor-Dan Rad , Josef Schicho , Hans-Peter Schröcker

Michael HARRIS defined the arithmetic automorphic periods for certain cuspidal representations of $GL_{n}$ over quadratic imaginary fields in his Crelle paper 1997. He also showed that critical values of automorphic L-functions for…

Number Theory · Mathematics 2015-11-12 Jie Lin

Aspects of the theory of characteristic modes, based on their variational formulation, are presented and an explicit form of a related functional, involving only currents in a spatial domain, is derived. The new formulation leads to deeper…

Classical Physics · Physics 2017-09-01 Miloslav Capek , Pavel Hazdra , Michal Masek , Vit Losenicky

We study conditions under which a partial differential operator of arbitrary order $n$ in two variables or ordinary linear differential operator admits a factorization with a first-order factor on the left. The factorization process…

Mathematical Physics · Physics 2015-06-26 R. Beals , E. Kartashova

In this document the author proves that several problems in data-driven numerical approximation of dynamical systems in $\mathbb{C}^n$, can be reduced to the computation of a family of constrained matrix representations of elements of the…

Operator Algebras · Mathematics 2019-06-13 Fredy Vides