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Related papers: Implosion for hyperkahler manifolds

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In generalized complex geometry, we revisit linear subspaces and submanifolds that have an induced generalized complex structure. We give an expression of the induced structure that allows us to deduce a smoothness criteria, we dualize the…

Differential Geometry · Mathematics 2015-07-22 Izu Vaisman

We construct the general action for Abelian vector multiplets in rigid 4-dimensional Euclidean (instead of Minkowskian) N=2 supersymmetry, i.e., over space-times with a positive definite instead of a Lorentzian metric. The target manifolds…

High Energy Physics - Theory · Physics 2009-11-10 Vicente Cortes , Christoph Mayer , Thomas Mohaupt , Frank Saueressig

We propose the definition of (twisted) generalized hyperkaehler geometry and its relation to supersymmetric non-linear sigma models. We also construct the corresponding twistor space.

High Energy Physics - Theory · Physics 2008-11-26 Andreas Bredthauer

The existing classification of homogeneous quaternionic spaces is not complete. We study these spaces in the context of certain $N=2$ supergravity theories, where dimensional reduction induces a mapping between {\em special} real, K\"ahler…

High Energy Physics - Theory · Physics 2009-10-22 B. de Wit , A. Van Proeyen

Let S be an infinite-dimensional manifold of all symplectic, or hyperkahler, structures on a compact manifold M, and $Diff_0$ the connected component of its diffeomorphism group. The quotient $S/\Diff_0$ is called the Teichmuller space of…

Differential Geometry · Mathematics 2015-12-09 Ekaterina Amerik , Misha Verbitsky

We consider quantum invariants of 3-manifolds associated with arbitrary simple Lie algebras. Using the symmetry principle we show how to decompose the quantum invariant as the product of two invariants, one of them is the invariant…

Quantum Algebra · Mathematics 2007-05-23 Thang T. Q. Le

While symplectic manifolds have no local invariants, they do admit many global numerical invariants. Prominent among them are the so-called symplectic capacities. Different capacities are defined in different ways, and so relations between…

Symplectic Geometry · Mathematics 2007-05-23 K. Cieliebak , H. Hofer , J. Latschev , F. Schlenk

We find that the target space of two-dimensional (4,0) supersymmetric sigma models with torsion coupled to (4,0) supergravity is a QKT manifold, that is, a quaternionic K\"ahler manifold with torsion. We give four examples of geodesically…

High Energy Physics - Theory · Physics 2009-10-09 P. S. Howe , A. Opfermann , G. Papadopoulos

We study smooth projective varieties with small dual variety using methods from symplectic topology. We prove the affine parts of such varieties are subcritical, and that the hyperplane class is invertible in their quantum cohomology. We…

Algebraic Geometry · Mathematics 2012-06-29 Paul Biran , Yochay Jerby

In the case of a compact real analytic symplectic manifold M we describe an approach to the complexification of Hamiltonian flows [Se, Do1, Th1] and corresponding geodesics on the space of Kahler metrics. In this approach, motivated by…

Differential Geometry · Mathematics 2015-01-07 Jose M. Mourao , Joao P. Nunes

We study certain symplectic quotients of n-fold products of complex projective m-space by the unitary group acting diagonally. After studying nonemptiness and smoothness these quotients we construct the action-angle variables, defined on an…

Symplectic Geometry · Mathematics 2007-05-23 Hermann Flaschka , John Millson

We prove that any invariant strong Kahler structure with torsion (SKT structure) on a flag manifold M=G/K of a semisimple compact Lie group G is Kahler. As an application we describe invariant generalized Kahler structures on M.

Differential Geometry · Mathematics 2012-02-28 Dmitri V. Alekseevsky , Liana David

Using an effective field theory approach and the language of SU(N)-structures, we study higher derivative corrections to the supersymmetry constraints for compactifications of string or M-theory to Minkowski space. Our analysis is done…

High Energy Physics - Theory · Physics 2015-12-09 Katrin Becker , Melanie Becker , Daniel Robbins

The properties of supersymmetric gauge theories in the Higgs phase at low energies can appropriately be studied by means of a non-linear sigma model, which has the target space being Kahler for N=1 supersymmetric models and hyperKahler for…

High Energy Physics - Theory · Physics 2008-10-29 Sven Bjarke Gudnason

A non-linear generalization of the Dirac operator in 4-dimensions, obtained by replacing the spinor representation with a hyperKahler manifold admitting certain symmetries, is considered. We show that the existence of a covariantly…

Differential Geometry · Mathematics 2016-08-25 Varun Thakre

Finite-dimensional Quantum Mechanics can be geometrically formulated as a proper classical-like Hamiltonian theory in a projective Hilbert space. The description of composite quantum systems within the geometric Hamiltonian framework is…

Mathematical Physics · Physics 2015-12-23 Davide Pastorello

We find a principle of harmonic analyticity underlying the quaternionic (quaternion-K\"ahler) geometry and solve the differential constraints which define this geometry. To this end the original $4n$-dimensional quaternionic manifold is…

High Energy Physics - Theory · Physics 2009-10-22 A. Galperin , E. Ivanov , O. Ogievetsky

We prove that all complex analytic subvarieties of a generic compact hyperkaehler manifold are even-dimensional. Moreover, these subvarieties are holomorphically symplectic.

alg-geom · Mathematics 2008-02-03 Misha Verbitsky

Deformation quantization and geometric quantization on K\"ahler manifolds give the mathematical description of the algebra of quantum observables and the Hilbert spaces respectively, where the later forms a representation of quantum…

Differential Geometry · Mathematics 2020-10-28 Naichung Conan Leung , Qin Li , Ziming Nikolas Ma

Tractably modelling distributions over manifolds has long been an important goal in the natural sciences. Recent work has focused on developing general machine learning models to learn such distributions. However, for many applications…

Machine Learning · Statistics 2022-01-31 Isay Katsman , Aaron Lou , Derek Lim , Qingxuan Jiang , Ser-Nam Lim , Christopher De Sa
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