نتایج جستجو برای: nearly kenmostsu manifold

تعداد نتایج: 142588  

Journal: :Annali della Scuola normale superiore di Pisa. Classe di scienze 2021

Our topological setting is a smooth compact manifold of dimension two or higher with boundary. Although this underlying structure smooth, the Riemannian metric tensor only assumed to be bounded and measurable. This known as rough manifold. For large class boundary conditions we demonstrate Weyl law for asymptotics eigenvalues Laplacian associated metric. Moreover, obtain eigenvalue weighted Lap...

2014
Qingqing Zhu Biaogui Yang

The class of generic submanifold includes all real hypersurfaces, complex submanifolds, totally real submanifolds, and CR-submanifolds. In this paper we initiate the study of generic submanifolds in a nearly Kaehler manifold from differential geometric point of view. Some fundamental results in this paper will be obtained.

2015
PAN ZHANG LIANG ZHANG

By using two new algebraic lemmas we obtain Chen’s inequalities for submanifolds of a Riemannian manifold of nearly quasi-constant curvature endowed with a semi-symmetric non-metric connection. Moreover, we correct a result of C. Özgür and A. Mihai’s paper (Chen inequalities for submanifolds of real space forms with a semi-symmetric non-metric connection, Canad. Math. Bull. 55 (2012), 611–622).

2009
Daryl Geller Azita Mayeli

We show that one can characterize the Besov spaces on a smooth compact oriented Riemannian manifold, for the full range of indices, through a knowledge of the size of frame coefficients, using the smooth, nearly tight frames we have constructed in [8].

ژورنال: تحقیقات موتور 2020
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NNowadays, car manufactures in order to increasing torque and power with consider to fuel consumption, have swept to production of turbocharged engines. With consider to exhaust gas-temperature rises in boosted engines, recognition of critical locations of exhaust manifold in the worse condition of engine (full load and maximum speed), to prevent fracture of exhaust manifold is very important. ...

2010
Hariharan Narayanan Sanjoy K. Mitter

The hypothesis that high dimensional data tends to lie in the vicinity of a low dimensional manifold is the basis of a collection of methodologies termed Manifold Learning. In this paper, we study statistical aspects of the question of fitting a manifold with a nearly optimal least squared error. Given upper bounds on the dimension, volume, and curvature, we show that Empirical Risk Minimizatio...

2009
Athanasios Chatzistavrakidis George Zoupanos

Our aim is to derive the effective action in four dimensions resulting by reducing dimensionally the ten-dimensional N = 1 heterotic supergravity coupled to N = 1 super Yang-Mills over manifolds admitting a nearly-Kähler structure. Given the fact that all homogeneous six-dimensional nearly-Kähler manifolds are included in the class of the corresponding non-symmetric coset spaces plus a group ma...

2008
Lars Schäfer

Let L ⊂ V = R be a maximally isotropic subspace. It is shown that any simply connected Lie group with a bi-invariant flat pseudo-Riemannian metric of signature (k, l) is 2-step nilpotent and is defined by an element η ∈ Λ3L ⊂ Λ3V . If η is of type (3, 0)+(0, 3) with respect to a skew-symmetric endomorphism J with J2 = ǫId, then the Lie group L(η) is endowed with a left-invariant nearly Kähler s...

Journal: :modeling and simulation in electrical and electronics engineering 2015
abbas koochari mohsen soryani

despite recent advances in video inpainting techniques, reconstructing large missing regions of a moving subject while its scale changes remains an elusive goal. in this paper, we have introduced a scale-change invariant method for large missing regions to tackle this problem. using this framework, first the moving foreground is separated from the background and its scale is equalized. then, a ...

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