Results 261 to 270 of about 464,650 (293)
Hilbert polynomials and Arveson's curvature invariant [PDF]
The author proves some formulas relating the leading coefficients of Hilbert polynomials for invariant subspaces of the symmetric Fock space and the curvature invariant for the corresponding coinvariant subspaces. A generalization of the Gauss-Bonnet-Chern formula from the homogeneous polynomially generated submodules to arbitrary polynomially ...
Fang, Xiang, Xiang Fang
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Complete Nevanlinna–Pick kernels and the curvature invariant
We consider a unitarily invariant complete Nevanlinna-Pick kernel denoted by $s$ and a commuting $d$-tuple of bounded operators $T = (T_{1}, \dots, T_{d})$ satisfying a natural contractivity condition with respect to $s$. We associate with $T$ its curvature invariant which is a non-negative real number bounded above by the dimension of a defect space ...
Abhay Jindal
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On the Flag Curvature of Invariant Randers Metrics [PDF]
In the present paper, the flag curvature of invariant Randers metrics on homogeneous spaces and Lie groups is studied. We first give an explicit formula for the flag curvature of invariant Randers metrics arising from invariant Riemannian metrics on homogeneous spaces and, in special case, Lie groups.
Hamid Reza Salimi Moghaddam
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Topological invariants and curvature
2022Summary: It is widely known that the fundamental group of a Lie group, and in general a symmetric space, is abelian. In the current paper it is demonstrated that any finitely generated abelian group is the fundamental group of a compact Lie group. In addition, it is proved that for any arbitrary group there is a differentiable manifold of dimension ...
Toomanian, Megerdich +1 more
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Gaussian-curvature-derived invariants for isometry
Science China Information Sciences, 2012Surface deformations without tearing or stretching, preserving the intrinsic properties, are called isometries. This paper presents a new definition of Gaussian curvature moments (GCMs) by the integral of n power of Gaussian curvature. Then a series of moment invariants, called Gaussian curvature moment invariants (GCMIs), are derived via GCMs.
Weiguo Cao +4 more
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Tensor Invariants for Gravitational Curvatures
2021<p>The tensor invariants (or invariants of tensors) for gravity gradient tensors (GGT, the second-order derivatives of the gravitational potential (GP)) have the advantage of not changing with the rotation of the corresponding coordinate system, which were widely applied in the study of gravity field (e.g., recovery of global gravity ...
Xiao-Le Deng +3 more
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Invariant curvature-based Fourier shape descriptors
Journal of Visual Communication and Image Representation, 2012Shape descriptors have demonstrated encouraging potential for retrieving images based on image content, and a number of them have been reported in the literature. Nevertheless, most of the reported descriptors are still face accuracy and computational challenges.
Otman Basir
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Invariance Conditions for Random Curvature Models
Methodology And Computing In Applied Probability, 2003The author introduces a class of probability laws suggesed by the geometric optics of the human eye. These models are concerned with the representation of random corneal curvature measurements \(y\) indexed by concentric equally-spaced locations \(v= \{\theta_1,\theta_2,\dots, \theta_\ell\}\).
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On the Pick Invariant, the Affine mean Curvature and the Gauss Curvature of Affine Surfaces
Results in Mathematics, 1991By departing from the so-called Affine Theorema Egregium for a nondegenerate unimodular affine surface \(M^ 2\subset\mathbb{R}^ 3\), which states that \({\mathfrak k}=H+J\), where \({\mathfrak k}\) is the Gauss curvature of the affine metric, \(H\) the affine mean curvature and \(J\) the Pick invariant, the authors study those affine surfaces where \({\
Dillen, Franki +4 more
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Segmentation of surface curvature using a photometric invariant
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition CVPR-94, 1994Gaussian curvature is an intrinsic local shape characteristic of a smooth object surface that is invariant to orientation of the object in 3-D space and viewpoint. Accurate determination of the sign of Gaussian curvature at each point on a smooth object surface (i.e., the identification of hyperbolic, elliptical and parabolic points) can provide very ...
Lawrence B. Wolff, Joel Fan
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