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Related papers: Symmetry Reduction of sh-Lie Structures and of Loc…

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Let $i:X\hookrightarrow Y$ be a closed embedding of smooth algebraic varieties. Denote by $N$ the normal bundle of $X$ in $Y$. We describe the construction of two Lie-type structures on the shifted bundle $N[-1]$ which encode the…

Algebraic Geometry · Mathematics 2014-07-01 Damien Calaque , Andrei Caldararu , Junwu Tu

The physics of ``particles of spin $\leq 2$'' leads to representations of a Lie algebra $\Xi$ of gauge parameters on a vector space $\Phi$ of fields. Attempts to develop an analogous theory for spin $>2$ have failed; in fact, there are…

Quantum Algebra · Mathematics 2007-05-23 Ron Fulp , Tom Lada , Jim Stasheff

This paper studies the reduction by symmetry of variational problems on Lie groups and Riemannian homogeneous spaces. We derive the reduced equations of motion in the case of Lie groups endowed with a left-invariant metric, and on Lie…

Optimization and Control · Mathematics 2024-01-03 Jacob R. Goodman , Leonardo J. Colombo

Using methods originating in the theory of intersection spaces, specifically a de Rham type description of the real cohomology of these spaces by a complex of global differential forms, we show that the Leray-Serre spectral sequence with…

Algebraic Topology · Mathematics 2011-05-05 Markus Banagl

This paper studies the reduction by symmetry of a variational obstacle avoidance problem. We derive the reduced necessary conditions in the case of Lie groups endowed with a left-invariant metric, and for its corresponding Riemannian…

Optimization and Control · Mathematics 2022-07-28 Jacob R. Goodman , Leonardo J. Colombo

We briefly review our results on the Lie theory underlying vector bundles over Lie groupoids and Lie algebroids, pointing out the role of Poisson geometry in extending these results to double Lie algebroids and LA-groupoids.

Differential Geometry · Mathematics 2016-05-12 Henrique Bursztyn , Alejandro Cabrera , Matias del Hoyo

Let $G$ be a topological group and let $K,L\subseteq G$ be closed subgroups, with $K\subseteq L$. We prove that if $L$ is a locally compact pro-Lie group, then the map $q:G/K\to G/L$ is a fibration. As an application of this, we obtain two…

Group Theory · Mathematics 2025-01-24 Linus Kramer , Raquel Murat García

In this manuscript we consider the extent to which an irreducible representation for a reductive Lie group can be realized as the sheaf cohomolgy of an equivariant holomorphic line bundle defined on an open invariant submanifold of a…

Representation Theory · Mathematics 2015-10-27 José Araujo , Tim Bratten

We prove a theorem on singular symplectic cotangent bundle reduction in the Fr\'echet setting and apply it to Yang-Mills-Higgs theory with special emphasis on the Higgs sector of the Glashow-Weinberg-Salam model. For the latter model we…

Mathematical Physics · Physics 2020-10-23 Tobias Diez , Gerd Rudolph

In this article, we give a theorem of reduction of the structure group of a principal bundle P with regular structure group G. Then, when G is in the classes of Lie groups defined by T.Robart [13], we define the closed holonomy group of a…

Differential Geometry · Mathematics 2007-05-23 Jean-Pierre Magnot

We obtain universal models for several types of locally conformal symplectic manifolds via pullback or reduction. The relation with recent embedding results for locally conformal K\"ahler manifolds is discussed.

Differential Geometry · Mathematics 2011-02-24 Juan C. Marrero , David Martínez Torres , Edith Padron

In this article, we present a novel theory of locally semialgebraic superspaces along with Nash supermanifolds. By adapting Batchelor's theorem to our framework, we show that all locally semialgebraic superspaces and affine Nash…

Algebraic Geometry · Mathematics 2023-10-27 Mahir Bilen Can

We consider the optimization problem associated with fitting two-layer ReLU networks with respect to the squared loss, where labels are assumed to be generated by a target network. Focusing first on standard Gaussian inputs, we show that…

Machine Learning · Computer Science 2023-12-29 Yossi Arjevani , Michael Field

In this note we investigate the simplicial volume of fiber bundles with connected structure group. We are able to show that if the structure group is either compact or a Lie group, or if the fiber is aspherical that the simplicial volume of…

Algebraic Topology · Mathematics 2024-04-24 Thorben Kastenholz

Motivated by the group of Galilean transformations and the subgroup of Galilean transformations which fix time zero, we introduce the notion of a $b$-Lie group as a pair $(G,H)$ where $G$ is a Lie group and $H$ is a codimension-one Lie…

Differential Geometry · Mathematics 2022-03-15 Roisin Braddell , Anna Kiesenhofer , Eva Miranda

In this survey, we report on the state of the art of some of the fundamental problems in the Lie theory of Lie groups modeled on locally convex spaces, such as integrability of Lie algebras, integrability of Lie subalgebras to Lie…

Representation Theory · Mathematics 2015-01-27 Karl-Hermann Neeb

Extending our reduction construction in \cite{Hu} to the Hamiltonian action of a Poisson Lie group, we show that generalized K\"ahler reduction exists even when only one generalized complex structure in the pair is preserved by the group…

Differential Geometry · Mathematics 2007-05-23 Shengda Hu

We study locally conformal symplectic (LCS) structures of the second kind on a Lie algebra. We show a method to build new examples of Lie algebras admitting LCS structures of the second kind starting with a lower dimensional Lie algebra…

Differential Geometry · Mathematics 2020-04-06 Marcos Origlia

The subject of this work is to study martingales in a reductive homogeneous space with respect to a symmetric connection. Our basic idea is to view homogenous spaces as principal fiber bundles and, thus, to study martingales on homogeneous…

Probability · Mathematics 2014-04-04 S. N. Stelmastchuk

The local linear embedding algorithm (LLE) is a non-linear dimension-reducing technique, widely used due to its computational simplicity and intuitive approach. LLE first linearly reconstructs each input point from its nearest neighbors and…

Machine Learning · Statistics 2008-08-07 Yair Goldberg , Ya'acov Ritov