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Inspired by recent work of Cerulli-Feigin-Reineke on desingularizations of quiver Grassmannians of representations of Dynkin quivers, we obtain desingularizations in considerably more general situations and in particular for Grassmannians…

Algebraic Geometry · Mathematics 2013-06-03 Bernhard Keller , Sarah Scherotzke

While nonlinear optical spectroscopy is becoming more commonly used to study the excited states of nonlinear-optical systems, a general theory of inhomogeneous broadening is rarely applied in lieu of either a simple Lorentzian or Gaussian…

Optics · Physics 2008-02-26 Robert J. Kruhlak , Mark G. Kuzyk

We present an approach to Green-Lazarsfeld's generic vanishing combining gaussian maps and the Fourier-Mukai transform associated to the Poincar\`e line bundle. As an application we prove the Generic Vanishing Theorem for all normal…

Algebraic Geometry · Mathematics 2014-01-30 Giuseppe Pareschi

We propose a new concept of generalized differentiation of set-valued maps that captures the first order information. This concept encompasses the standard notions of Frechet differentiability, strict differentiability, calmness and…

Optimization and Control · Mathematics 2011-01-04 C. H. Jeffrey Pang

In this thesis, we take a journey through two different but not dissimilar stories with an underlying theme of combinatorics emerging from scattering amplitudes in quantum field theories. The first part tells the tale of the…

Combinatorics · Mathematics 2022-07-28 Simone Hu

The string world sheet, regarded as Riemann surface, in background $R^3$ and $R^4$ is described by the generalised Gauss map. When the Gauss map is harmonic or equivalently for surfaces of constant mean scalar curvature, we obtain an…

High Energy Physics - Theory · Physics 2007-05-23 R. Parthasarathy , K. S. Viswanathan

We present an extended version of Riemannian geometry suitable for the description of current formulations of double field theory (DFT). This framework is based on graded manifolds and it yields extended notions of symmetries, dynamical…

High Energy Physics - Theory · Physics 2018-07-03 Andreas Deser , Christian Saemann

We define a specialization map between cohomology algebras of quiver Grassmannians of Dynkin type and we prove that it is surjective in type A. This generalizes a result of Lanini and Strickland.

Representation Theory · Mathematics 2024-07-26 Giovanni Cerulli Irelli , Francesco Esposito , Xin Fang , Ghislain Fourier

We consider the Grassmann graphs and dual polar graphs over the same finite field and show that, up to graph automorphism, for every dual polar graph there is the unique isometric embedding in the corresponding Grassmann graph.

Combinatorics · Mathematics 2015-10-06 Mark Pankov

Given two tuples of subspaces, can you tell whether the tuples are isomorphic? We develop theory and algorithms to address this fundamental question. We focus on isomorphisms in which the ambient vector space is acted on by either a unitary…

Metric Geometry · Mathematics 2025-12-25 Emily J. King , Dustin G. Mixon , Shayne Waldron

This work introduces the Grassmannian Diffusion Maps, a novel nonlinear dimensionality reduction technique that defines the affinity between points through their representation as low-dimensional subspaces corresponding to points on the…

Machine Learning · Computer Science 2021-06-02 K. R. M. dos Santos , D. G. Giovanis , M. D. Shields

This paper presents a general and systematic discussion of various symbolic representations of iterated maps through subshifts. We give a unified model for all continuous maps on a metric space, by representing a map through a general…

Chaotic Dynamics · Physics 2007-05-23 Xin-Chu Fu , Weiping Lu , Peter Ashwin , Jinqiao Duan

Bidimensionality is the most common technique to design subexponential-time parameterized algorithms on special classes of graphs, particularly planar graphs. The core engine behind it is a combinatorial lemma of Robertson, Seymour and…

Data Structures and Algorithms · Computer Science 2019-03-05 Fedor V. Fomin , Daniel Lokshtanov , Fahad Panolan , Saket Saurabh , Meirav Zehavi

Initial steps in the study of inner expansion properties of infinite Cayley graphs and other infinite graphs, such as hyperbolic ones, are taken, in a flavor similar to the well-known Lipton-Tarjan square root separation result for planar…

Metric Geometry · Mathematics 2011-09-14 Itai Benjamini , Oded Schramm , Adam Timar

For a set-valued map, we characterize, in terms of its (unconvexified or convexified) graphical derivatives near the point of interest, positively homogeneous maps that are generalized derivatives in the sense of [20]. This result…

Optimization and Control · Mathematics 2012-11-20 C. H. Jeffrey Pang

We discuss various dualities, relating integrable systems and show that these dualities are explained in the framework of Hamiltonian and Poisson reductions. The dualities we study shed some light on the known integrable systems as well as…

High Energy Physics - Theory · Physics 2009-10-31 V. Fock , A. Gorsky , N. Nekrasov , V. Rubtsov

Given a combinatorial structure, a ``twin'' is a pair of disjoint substructures which are isomorphic (or look the same in some sense). In recent years, there have been many problems about finding large twins in various combinatorial…

Combinatorics · Mathematics 2023-02-28 Zach Hunter

Results about the phase structure of certain N=1 supersymmetric gauge theories, which have been obtained as a consequence of holomorphy and `electric-magnetic' duality, are shown to be in quantitative agreement with corresponding…

High Energy Physics - Theory · Physics 2016-09-06 Reinhard Oehme

A study of sigma models whose target space is a group G that admits a compatible Poisson structure is presented. The natural action of O(D,D;Z) on the generalised tangent bundle TG+T*G and a generalisation of the Courant bracket that…

High Energy Physics - Theory · Physics 2010-01-15 R. A. Reid-Edwards

The semantic segmentation task aims at dense classification at the pixel-wise level. Deep models exhibited progress in tackling this task. However, one remaining problem with these approaches is the loss of spatial precision, often produced…

Computer Vision and Pattern Recognition · Computer Science 2022-07-20 Darwin Saire , Adín Ramírez Rivera