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The aim of this paper is to study the normal forms of nonautonomous differential systems. For doing so, we first investigate the nonuniform dichotomy spectrum of the linear evolution operators that admit a nonuniform exponential dichotomy,…

Classical Analysis and ODEs · Mathematics 2014-07-31 Xiang Zhang

We introduce in this work the normalizing field flows (NFF) for learning random fields from scattered measurements. More precisely, we construct a bijective transformation (a normalizing flow characterizing by neural networks) between a…

Machine Learning · Computer Science 2022-05-11 Ling Guo , Hao Wu , Tao Zhou

We consider germs of holomorphic vector fields at a fixed point having a nilpotent linear part at that point, in dimension $n \geq 3$. Based on Belitskii's work, we know that such a vector field is formally conjugate to a (formal) normal…

Dynamical Systems · Mathematics 2016-08-24 Laurent Stolovitch , Freek Verstringe

We present a general framework to calculate the properties of relativistic compound systems from the knowledge of an elementary Hamiltonian. Our framework provides a well-controlled nonperturbative calculational scheme which can be…

High Energy Physics - Theory · Physics 2011-03-07 J. -F. Mathiot , A. V. Smirnov , N. A. Tsirova , V. A. Karmanov

In this paper we adapt the method of [P. H. Baptistelli, M. Manoel and I. O. Zeli. Normal form theory for reversible equivariant vector fields. Bull. Braz. Math. Soc., New Series 47 (2016), no. 3, 935-954] to obtain normal forms of a class…

Dynamical Systems · Mathematics 2017-02-16 P. H. Baptistelli , M. Manoel , I. O. Zeli

The effects of delayed feedback terms on nonlinear oscillators has been extensively studied, and have important applications in many areas of science and engineering. We study a particular class of second-order delay-differential equations…

Dynamical Systems · Mathematics 2012-05-24 Victor G. LeBlanc

We present a novel general framework to deal with forward and backward components of the electromagnetic field in axially-invariant nonlinear optical systems, which include those having any type of linear or nonlinear transverse…

We study hyperbolic systems of one-dimensional partial differential equations under general, possibly non-local boundary conditions. A large class of evolution equations, either on individual 1-dimensional intervals or on general networks,…

Analysis of PDEs · Mathematics 2021-01-19 Marjeta Kramar Fijavž , Delio Mugnolo , Serge Nicaise

Standard neural network architectures are non-linear only by virtue of a simple element-wise activation function, making them both brittle and excessively large. In this paper, we consider methods for making the feed-forward layer more…

Machine Learning · Computer Science 2018-11-26 Sebastian Flennerhag , Hujun Yin , John Keane , Mark Elliot

We introduce a sl_2-invariant family of nonlinear vector fields with a non-semisimple triple zero singularity. In this paper we are concerned with characterization and normal form classification of these vector fields. We show that the…

Dynamical Systems · Mathematics 2019-04-08 Majid Gazor , Fahimeh Mokhtari , Jan A. Sanders

We propose a new approach to the theory of normal forms for Hamiltonian systems near a non-resonant elliptic singular point. We consider the space of all Hamiltonian functions with such an equilibrium position at the origin and construct a…

Dynamical Systems · Mathematics 2023-06-27 Dmitry Treschev

The normal forms up to the third order for a Hopf-steady state bifurcation of a general system of partial functional differential equations (PFDEs) is derived based on the center manifold and normal form theory of PFDEs. This is a…

Dynamical Systems · Mathematics 2018-03-01 Weihua Jiang , Qi An , Junping Shi

Precise representation of large-scale undirected network is the basis for understanding relations within a massive entity set. The undirected network representation task can be efficiently addressed by a symmetry non-negative latent factor…

Machine Learning · Computer Science 2022-03-09 Weiling Li , Xin Luo

We study an elliptic-parabolic system of partial differential equations describing formation of biological network structures. The model takes into consideration the evolution of the permeability tensor under the influence of a diffusion…

Analysis of PDEs · Mathematics 2021-11-09 Jan Haskovec , Peter Markowich , Giulia Pilli

Two new classes of networks are introduced that resemble small-world properties. These networks are recursively constructed but retain a fixed, regular degree. They consist of a one-dimensional lattice backbone overlayed by a hierarchical…

Disordered Systems and Neural Networks · Physics 2008-05-29 S. Boettcher , B. Goncalves , H. Guclu

The electromagnetic nucleon form-factors data are studied with artificial feed forward neural networks. As a result the unbiased model-independent form-factor parametrizations are evaluated together with uncertainties. The Bayesian approach…

High Energy Physics - Phenomenology · Physics 2014-11-21 Krzysztof M. Graczyk , Piotr Plonski , Robert Sulej

Normalizing flow (NF) has gained popularity over traditional maximum likelihood based methods due to its strong capability to model complex data distributions. However, the standard approach, which maps the observed data to a normal…

Machine Learning · Computer Science 2022-11-22 Hanze Dong , Shizhe Diao , Weizhong Zhang , Tong Zhang

Let $L$ be a finite-dimensional Lie algebra over a field $F$. In This paper we introduce the \emph{nilpotent graph} $\Gamma_\mathfrak{N}(L)$ as the graph whose vertices are the elements of $L \setminus \nil(L)$, where \[\nil(L) = \{x \in L…

Rings and Algebras · Mathematics 2025-06-25 David Towers , Ismael Gutierrez , Luis Fernandez

We present a unified framework that connects four-dimensional duality-invariant nonlinear electrodynamics and two-dimensional integrable sigma models via the Courant-Hilbert and new auxiliary field formulations, both governed by a common…

High Energy Physics - Theory · Physics 2025-07-31 H. Babaei-Aghbolagh , Bin Chen , Song He

Normal form theory is developed deeply for planar smooth systems but has few results for piecewise-smooth systems because difficulties arise from continuity of the near-identity transformation, which is constructed piecewise. In this paper,…

Dynamical Systems · Mathematics 2025-06-17 Jiahao Li , Xingwu Chen , Weinian Zhang