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We show how to construct a resolution of symplectic orbifolds obtained as quotients of presymplectic manifolds with a torus action. As a corollary, this allows us to desingularise generic symplectic quotients. Given a manifold with a…

Symplectic Geometry · Mathematics 2009-07-20 K. Niederkrüger , F. Pasquotto

The present paper discusses the problem of least-squares over the real symplectic group of matrices Sp(2n,R)$. The least-squares problem may be extended from flat spaces to curved spaces by the notion of geodesic distance. The resulting…

Numerical Analysis · Computer Science 2013-03-08 Simone Fiori

We introduce non-smooth symplectic forms on manifolds and describe corresponding Poisson structures on the algebra of Colombeau generalized functions. This is achieved by establishing an extension of the classical map of smooth functions to…

Differential Geometry · Mathematics 2016-09-15 Guenther Hoermann , Sanja Konjik , Michael Kunzinger

On the level of Lie algebras, the contraction procedure is a method to create a new Lie algebra from a given Lie algebra by rescaling generators and letting the scaling parameter tend to zero. One of the most well-known examples is the…

Differential Geometry · Mathematics 2015-03-13 Kenny De Commer

We consider the symplectic groupoid of pairs $(B, A)$ with $A$ real unipotent upper-triangular matrix and $B\in GL_n$ being such that $\tilde A=BAB^T$ is also a unipotent upper-triangular matrix. Fock and Chekhov defined a Poisson map of…

Quantum Algebra · Mathematics 2025-10-28 E. Brodsky , P. Dangwal , S. Hamlin , L. Chekhov , M. Shapiro , S. Sottile , X. Lian , Z. Zhan

The symplectic Stiefel manifold, denoted by $\mathrm{Sp}(2p,2n)$, is the set of linear symplectic maps between the standard symplectic spaces $\mathbb{R}^{2p}$ and $\mathbb{R}^{2n}$. When $p=n$, it reduces to the well-known set of $2n\times…

Optimization and Control · Mathematics 2021-07-13 Bin Gao , Nguyen Thanh Son , P. -A. Absil , Tatjana Stykel

We introduce and study the basic notion of polarized Poisson manifolds generalizing the classical case of Poisson manifolds and extend this last notion for the ${k-}$% symplectic stuctures. And also, we show that for any polarized…

Differential Geometry · Mathematics 2007-05-23 Azzouz Awane

Using a Lax pair based on twisted affine $sl(2,R)$ Kac-Moody and Virasoro algebras, we deduce a r-matrix formulation of two dimensional reduced vacuum Einstein's equations. Whereas the fundamental Poisson brackets are non-ultralocal, they…

High Energy Physics - Theory · Physics 2009-10-31 D. Bernard , N. Regnault

We present a geometric framework for discrete classical field theories, where fields are modeled as "morphisms" defined on a discrete grid in the base space, and take values in a Lie groupoid. We describe the basic geometric setup and…

Mathematical Physics · Physics 2008-11-26 Joris Vankerschaver , Frans Cantrijn

Compound Poisson distributions and signed compound Poisson measures are used for approximation of the Markov binomial distribution. The upper and lower bound estimates are obtained for the total variation, local and Wasserstein norms. In a…

Statistics Theory · Mathematics 2010-11-29 V. Čekanavičius , P. Vellaisamy

A Lie 2-algebra is a "categorified" version of a Lie algebra: that is, a category equipped with structures analogous those of a Lie algebra, for which the usual laws hold up to isomorphism. In the classical mechanics of point particles, the…

Mathematical Physics · Physics 2009-12-08 John C. Baez , Alexander E. Hoffnung , Christopher L. Rogers

In this article, we introduce symplectic reduction in the framework of nonrational toric geometry. When we specialize to the rational case, we get symplectic reduction for the action of a general, not necessarily closed, Lie subgroup of the…

Symplectic Geometry · Mathematics 2018-10-19 Fiammetta Battaglia , Elisa Prato

This paper proposes a Riemannian Multiobjective Proximal Gradient Method (RMPGM) for composite optimization problems on manifolds. Unlike scalarization-based approaches, the proposed framework directly handles vector-valued objectives and…

Optimization and Control · Mathematics 2026-05-19 Kangming Chen

Representing images and videos with Symmetric Positive Definite (SPD) matrices and considering the Riemannian geometry of the resulting space has proven beneficial for many recognition tasks. Unfortunately, computation on the Riemannian…

Computer Vision and Pattern Recognition · Computer Science 2014-11-18 Mehrtash T. Harandi , Mathieu Salzmann , Richard Hartley

We give a direct global proof for the existence of symplectic realizations of arbitrary Poisson manifolds.

Differential Geometry · Mathematics 2012-08-14 Marius Crainic , Ioan Marcut

We give a definition of coisotropic morphisms of shifted Poisson (i.e. $P_n$) algebras which is a derived version of the classical notion of coisotropic submanifolds. Using this we prove that an intersection of coisotropic morphisms of…

Algebraic Geometry · Mathematics 2021-06-23 Pavel Safronov

Bilevel optimization has gained prominence in various applications. In this study, we introduce a framework for solving bilevel optimization problems, where the variables in both the lower and upper levels are constrained on Riemannian…

Optimization and Control · Mathematics 2024-11-05 Andi Han , Bamdev Mishra , Pratik Jawanpuria , Akiko Takeda

``Pseudo-cohomology'', as a refinement of Lie group cohomology, is soundly studied aiming at classifying of the symplectic manifolds associated with Lie groups. In this study, the framework of symplectic cohomology provides fundamental new…

Mathematical Physics · Physics 2009-11-10 J. Guerrero , J. L. Jaramillo , V. Aldaya

In this note the long standing problem of the definition of a Poisson bracket in the framework of a multisymplectic formulation of classical field theory is solved. The new bracket operation can be applied to forms of arbitary degree.…

Mathematical Physics · Physics 2015-06-26 Michael Forger , Cornelius Paufler , Hartmann Römer

We exploit insights into the geometry of bosonic and fermionic Gaussian states to develop an efficient local optimization algorithm to extremize arbitrary functions on these families of states. The method is based on notions of gradient…

Quantum Physics · Physics 2021-03-17 Bennet Windt , Alexander Jahn , Jens Eisert , Lucas Hackl