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We present further developments on the Lagrangian 1-form description for one-dimensional integrable systems in both discrete and continuous levels. A key feature of integrability in this context called a closure relation will be derived…

Mathematical Physics · Physics 2019-07-03 Chisanupong Puttarprom , Worapat Piensuk , Sikarin Yoo-Kong

We study a class of one-dimensional full branch maps admitting two indifferent fixed points as well as critical points and/or unbounded derivative. Under some mild assumptions we prove the existence of a unique invariant mixing absolutely…

Dynamical Systems · Mathematics 2024-05-28 Douglas Coates , Stefano Luzzatto , Muhammad Mubarak

A method for obtaining discretization formulas for the derivatives of a function is presented, which relies on a generalization of divided differences. These modified divided differences essentially correspond to a change of the dependent…

Computational Physics · Physics 2026-02-03 Alexander Pikovski

Given an algebraic differential equation of order greater than one, it is shown that if there is any nontrivial algebraic relation amongst any number of distinct nonalgebraic solutions, along with their derivatives, then there is already…

Algebraic Geometry · Mathematics 2022-11-23 James Freitag , Rémi Jaoui , Rahim Moosa

A technique is introduced which allows to generate -- starting from any solvable discrete-time dynamical system involving N time-dependent variables -- new, generally nonlinear, generations of discrete-time dynamical systems, also involving…

Mathematical Physics · Physics 2017-06-07 Oksana Bihun , Francesco Calogero

The Hamiltonian reduction of SU(2) Yang-Mills theory for an arbitrary \theta angle to an unconstrained nonlocal theory of a self-interacting positive definite symmetric 3 \times 3 matrix field S(x) is performed. It is shown that, after…

High Energy Physics - Theory · Physics 2009-09-17 A. M. Khvedelidze , D. M. Mladenov , H. -P. Pavel , G. Röpke

We study finite-temperature N=1 SU(2) super Yang-Mills theory, compactified on a spatial circle of size L with supersymmetric boundary conditions. In the semiclassical small-L regime, a deconfinement transition occurs at T_c <<1/L. The…

High Energy Physics - Theory · Physics 2015-06-17 Mohamed M. Anber , Scott Collier , Erich Poppitz , Seth Strimas-Mackey , Brett Teeple

Superpotentials in ${\cal N}=2$ supersymmetric classical mechanics are no more than the Hamilton characteristic function of the Hamilton-Jacobi theory for the associated purely bosonic dynamical system. Modulo a global sign, there are…

High Energy Physics - Theory · Physics 2008-11-26 A. Alonso Izquierdo , M. A. Gonzalez Leon , M. de la Torre Mayado , J. Mateos Guilarte

Recently Hirota and Kimura presented a new discretization of the Euler top with several remarkable properties. In particular this discretization shares with the original continuous system the feature that it is an algebraically completely…

Exactly Solvable and Integrable Systems · Physics 2008-10-31 A. N. W. Hone , M. Petrera

L-systems can be made to model and create simulations of many biological processes, such as plant development. Finding an L-system for a given process is typically solved by hand, by experts, in a massively time-consuming process. It would…

Quantum Physics · Physics 2025-07-02 Ali Lotfi , Ian McQuillan , Steven Rayan

Formally capturing the transition from a continuous model to a discrete model is investigated using model based refinement techniques. A very simple model for stopping (eg. of a train) is developed in both the continuous and discrete…

Software Engineering · Computer Science 2011-06-22 Richard Banach , Huibiao Zhu , Wen Su , Runlei Huang

Learning governing dynamics from data is a common goal across the sciences, yet it is only well-posed when the underlying mechanisms are identifiable. In practice, many data-driven methods implicitly assume identifiability; when this…

Machine Learning · Computer Science 2026-05-13 Aybüke Ulusarslan , Niki Kilbertus , Nora Schneider

We describe a procedure to introduce general dependence structures on a set of Dirichlet processes. Dependence can be in one direction to define a time series or in two directions to define spatial dependencies. More directions can also be…

Methodology · Statistics 2021-10-18 Luis E. Nieto-Barajas

We demonstrate the systematic derivation of a class of discretizations of nonlinear Schr{\"o}dinger (NLS) equations for general polynomial nonlinearity whose stationary solutions can be found from a reduced two-point algebraic condition. We…

Exactly Solvable and Integrable Systems · Physics 2018-04-13 P. G. Kevrekidis , S. V. Dmitriev , A. A. Sukhorukov

This article concerns robustness analysis for interconnections of two dynamical systems (described by upper semicontinuous differential inclusions) using a generalized notion of derivatives associated with locally Lipschitz Lyapunov…

Optimization and Control · Mathematics 2021-10-19 Matteo Della Rossa , Aneel Tanwani , Luca Zaccarian

We give an example of a reflected diffferential equation which may have infinitely many solutions if the driving signal is rough enough (e.g. of infinite $p$-variation, for some $p>2$). For this equation, we identify a sharp condition on…

Probability · Mathematics 2020-11-16 Paul Gassiat

While the phenomenon of grokking, i.e., delayed generalization, has been studied extensively, it remains an open problem whether there is a mathematical framework that characterizes what kind of features will emerge, how and in which…

Machine Learning · Computer Science 2025-12-03 Yuandong Tian

The compactification of five dimensional N=2 SUSY Yang-Mills (YM) theory onto a circle provides a four dimensional YM model with N=4 SUSY. This supersymmetry can be broken down to N=2 if non-trivial boundary conditions in the compact…

High Energy Physics - Theory · Physics 2014-11-18 H. W. Braden , A. Marshakov , A. Mironov , A. Morozov

Despite the striking successes of deep neural networks trained with gradient-based optimization, these methods differ fundamentally from their biological counterparts. This gap raises key questions about how nature achieves robust,…

Machine Learning · Computer Science 2025-10-15 Mattia Scardecchia

We study the theory of systems with constraints from the point of view of the formal theory of partial differential equations. For finite-dimensional systems we show that the Dirac algorithm completes the equations of motion to an…

High Energy Physics - Theory · Physics 2009-10-28 Werner M. Seiler , Robin W. Tucker