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Retraction maps have been generalized to discretization maps in (Barbero Li\~n\'an and and Mart\'{\i}n de Diego, 2022). Discretization maps are used to systematically derive numerical integrators that preserve the symplectic structure, as…

Numerical Analysis · Mathematics 2024-01-29 María Barbero-Liñán , Juan Carlos Marrero , David Martín de Diego

The classical notion of retraction map used to approximate geodesics is extended and rigorously defined to become a powerful tool to construct geometric integrators and it is called discretization map. Using the geometry of the tangent and…

Numerical Analysis · Mathematics 2022-06-20 María Barbero Liñán , David Martín de Diego

We develop a geometric framework for the numerical integration of mechanical systems evolving on manifolds. After briefly reviewing classical numerical methods and highlighting their limitations and shortcomings in non-flat (non-Euclidean)…

General Mathematics · Mathematics 2026-03-30 Viyom Vivek , David Martin de Diego , Ravi N. Banavar

Retraction maps are known to be the seed for all numerical integrators. These retraction maps-based integrators can be further lifted to tangent and cotangent bundles, giving rise to structure-preserving integrators for mechanical systems.…

Numerical Analysis · Mathematics 2025-05-20 Viyom Vivek , David Martin de Diego , Ravi N Banavar

In this paper, we compare the performance of different numerical schemes in approximating Pontryagin's Maximum Principle's necessary conditions for the optimal control of nonholonomic systems. Retraction maps are used as a seed to construct…

Retractions maps are used to define a discretization of the tangent bundle of the configuration manifold as two copies of the configuration manifold where the dynamics take place. Such discretization maps can be conveniently lifted to a…

Optimization and Control · Mathematics 2023-04-03 Alexandre Anahory Simoes , Maria Barbero Liñán , Leonardo Colombo , David Martín de Diego

We study the discretization of (almost-)Dirac structures using the notion of retraction and discretization maps on manifolds. Additionally, we apply the proposed discretization techniques to obtain numerical integrators for port-Hamiltonian…

Numerical Analysis · Mathematics 2025-05-12 María Barbero-Liñán , Juan Manuel López Medel , David Martín de Diego

A new geometric procedure to construct symplectic methods for constrained mechanical systems is developed in this paper. The definition of a map coming from the notion of retraction maps allows to adapt the continuous problem to the…

Numerical Analysis · Mathematics 2024-12-10 María Barbero Liñán , David Martín de Diego , Rodrigo T. Sato Martín de Almagro

We present a general framework for constructing structure-preserving numerical integrators for nonholonomically constrained mechanical systems evolving on Lie groups using retraction maps. Retraction maps generalize the exponential map and…

Numerical Analysis · Mathematics 2026-04-08 Viyom Vivek , David Martin de Diego , Ravi N. Banavar

Recently, continuous-time dynamical systems have proved useful in providing conceptual and quantitative insights into gradient-based optimization, widely used in modern machine learning and statistics. An important question that arises in…

Optimization and Control · Mathematics 2021-04-29 Guilherme França , Michael I. Jordan , René Vidal

A discretisation scheme that preserves topological features of a physical problem is extended so that differential geometric structures can be approximated in a consistent way thus giving access to the study of physical systems which are…

High Energy Physics - Theory · Physics 2007-05-23 Vivien de Beauce , Siddhartha Sen

In many applications, one encounters signals that lie on manifolds rather than a Euclidean space. In particular, covariance matrices are examples of ubiquitous mathematical objects that have a non Euclidean structure. The application of…

Signal Processing · Electrical Eng. & Systems 2024-07-25 Lucas Drumetz , Alexandre Reiffers-Masson , Naoufal El Bekri , Franck Vermet

We propose a geometric integrator to numerically approximate the flow of Lie systems. The key is a novel procedure that integrates the Lie system on a Lie group intrinsically associated with a Lie system on a general manifold via a Lie…

Numerical Analysis · Mathematics 2025-11-18 L. Blanco , F. Jiménez Alburquerque , J. de Lucas , C. Sardón

Mechanical systems are most often described by a set of continuous-time, nonlinear, second-order differential equations (SODEs) of a particular structure governed by the covariant derivative. The digital implementation of controllers for…

Systems and Control · Electrical Eng. & Systems 2024-10-04 Shreyas N. B. , David Martin Diego , Ravi Banavar

A new class of integrable maps, obtained as lattice versions of polynomial dynamical systems is introduced. These systems are obtained by means of a discretization procedure that preserves several analytic and algebraic properties of a…

Dynamical Systems · Mathematics 2013-06-18 Piergiulio Tempesta

This paper presents a geometric-variational approach to continuous and discrete mechanics and field theories. Using multisymplectic geometry, we show that the existence of the fundamental geometric structures as well as their preservation…

Differential Geometry · Mathematics 2025-10-20 Jerrold E. Marsden , George W. Patrick , Steve Shkoller

The main purpose of this article is to show how symmetry structures in partial differential equations can be preserved in a discrete world and reflected in difference schemes. Three different structure preserving discretizations of the…

Exactly Solvable and Integrable Systems · Physics 2015-10-05 Decio Levi , Luigi Martina , Pavel Winternitz

This paper presents a general method to construct Poisson integrators, i.e., integrators that preserve the underlying Poisson geometry. We assume the Poisson manifold is integrable, meaning there is a known local symplectic groupoid for…

Mathematical Physics · Physics 2024-04-01 Miguel Vaquero , David Martín de Diego , Jorge Cortés

We derive variational integrators for stochastic Hamiltonian systems on Lie groups using a discrete version of the stochastic Hamiltonian phase space principle. The structure-preserving properties of the resulting scheme, such as…

Numerical Analysis · Mathematics 2024-12-30 François Gay-Balmaz , Meng Wu

Using nonlinear projections and preserving structure in model order reduction (MOR) are currently active research fields. In this paper, we provide a novel differential geometric framework for model reduction on smooth manifolds, which…

Numerical Analysis · Mathematics 2024-04-03 Patrick Buchfink , Silke Glas , Bernard Haasdonk , Benjamin Unger
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