9,600 research outputs found

    Relative Severi inequality for fibrations of maximal Albanese dimension over curves

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    Let f:Xβ†’Bf: X \to B be a relatively minimal fibration of maximal Albanese dimension from a variety XX of dimension nβ‰₯2n \ge 2 to a curve BB defined over an algebraically closed field of characteristic zero. We prove that KX/Bnβ‰₯2n!Ο‡fK_{X/B}^n \ge 2n! \chi_f, which was conjectured by Barja in [2]. Via the strategy outlined in [5], it also leads to a new proof of the Severi inequality for varieties of maximal Albanese dimension. Moreover, when the equality holds and Ο‡f>0\chi_f > 0, we prove that the general fiber FF of ff has to satisfy the Severi equality that KFnβˆ’1=2(nβˆ’1)!Ο‡(F,Ο‰F)K_F^{n-1} = 2(n-1)! \chi(F, \omega_F). We also prove some sharper results of the same type under extra assumptions.Comment: Comments are welcom

    Modelling the Self-similarity in Complex Networks Based on Coulomb's Law

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    Recently, self-similarity of complex networks have attracted much attention. Fractal dimension of complex network is an open issue. Hub repulsion plays an important role in fractal topologies. This paper models the repulsion among the nodes in the complex networks in calculation of the fractal dimension of the networks. The Coulomb's law is adopted to represent the repulse between two nodes of the network quantitatively. A new method to calculate the fractal dimension of complex networks is proposed. The Sierpinski triangle network and some real complex networks are investigated. The results are illustrated to show that the new model of self-similarity of complex networks is reasonable and efficient.Comment: 25 pages, 11 figure
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