Results 41 to 50 of about 2,757,642 (300)
Multiscale Differential Geometry Learning for Protein Flexibility Analysis. [PDF]
Protein structure fluctuations, as measured by B‐factors, are closely linked to protein flexibility and function. Predicting B‐factors is an important research topic that has led to the development of various predictive models. Atomic interactions within proteins can be described using a family of low‐dimensional manifolds.
Feng H, Zhao JY, Wei GW.
europepmc +2 more sources
On the topology of moduli spaces of non-negatively curved Riemannian metrics [PDF]
We study spaces and moduli spaces of Riemannian metrics with non-negative Ricci or non-negative sectional curvature on closed and open manifolds. We construct, in particular, the first classes of manifolds for which these moduli spaces have non-trivial ...
Tuschmann, Wilderich, Wiemeler, Michael
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Growth of finitely generated solvable groups and curvature of Riemannian manifolds
If a group Γ is generated by a finite subset 5, then one has the "growth function" gs, where gs(m) is the number of distinct elements of Γ expressible as words of length
J. Wolf
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On generalized semisymmetric Riemannian manifolds
There are several generalizations of the concept of semi-symmetric Riemannian manifolds. In the present paper, we consider some special types of generalized semi-symmetric Riemannian manifolds with positive or negative defined curvature operator or ...
Josef Mikes, Sergey E. Stepanov
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Combinatorial quantum gravity is governed by a discrete Einstein-Hilbert action formulated on an ensemble of random graphs. There is strong evidence for a second-order quantum phase transition separating a random phase at strong coupling from an ordered,
C. A. Trugenberger
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Regularity of Einstein Manifolds and the Codimension 4 Conjecture [PDF]
In this paper, we are concerned with the regularity of noncollapsed Riemannian manifolds $(M^n,g)$ with bounded Ricci curvature, as well as their Gromov-Hausdorff limit spaces $(M^n_j,d_j)\stackrel{d_{GH}}{\longrightarrow} (X,d)$, where $d_j$ denotes the
Cheeger, Jeff, Naber, Aaron
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Gradient Method for Optimization on Riemannian Manifolds with Lower Bounded Curvature [PDF]
The gradient method for minimize a differentiable convex function on Riemannian manifolds with lower bounded sectional curvature is analyzed in this paper. The analysis of the method is presented with three different finite procedures for determining the
O. P. Ferreira+2 more
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In this paper, we consider a generalization of almost Kenmotsu f-manifolds. We get basic Riemannian curvature, sectional curvatures and scalar curvature properties such type manifolds. Finally, we give two examples to clarify some our results.
Y.S. Balkan, N. Aktan
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Eigenvalues of the bi-Xin-Laplacian on complete Riemannian manifolds
The clamped plate problem describes the vibration of a clamped plate in the classical elastic mechanics, and the Xin-Laplacian is an important elliptic operator for understanding the geometric structure of translators of mean curvature flow(MCF for short)
Xiaotian Hao, Lingzhong Zeng
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Clifford structures on Riemannian manifolds [PDF]
We introduce the notion of even Clifford structures on Riemannian manifolds, a framework generalizing almost Hermitian and quaternion-Hermitian geometries.
Alekseevsky+21 more
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