On the Spectrum of Asymptotic Slopes
نویسنده
چکیده
The slopes of maximal subbundles of rank s divided by the degree of the map under various pull backs form a bounded collection of numbers called the s-spectrum of the bundle. We study the supremum of the s-spectrum and determine it in terms of the Harder Narasimhan filtration of the bundle.
منابع مشابه
On the Spectral Properties of Degenerate Non-selfadjoint Elliptic systems of Differential Operators
متن کامل
The marine diversity spectrum
Distributions of species body sizes within a taxonomic group, for example, mammals, are widely studied and important because they help illuminate the evolutionary processes that produced these distributions. Distributions of the sizes of species within an assemblage delineated by geography instead of taxonomy (all the species in a region regardless of clade) are much less studied but are equall...
متن کاملPossible Evidence for Relativistic Shocks in Gamma-Ray Bursts
Relativistic shock models of gamma-ray bursts may be tested by comparison of their predicted low energy asymptotic spectral indices s to observations. Synchrotron radiation theory predicts that the instantaneous spectrum has s = −1/3 and the spectrum integrated over the radiative decay of the electrons’ energies has s = 1/2, with other cases lying between these limits. We examine the spectra of...
متن کاملOn the determination of asymptotic formula of the nodal points for the Sturm-Liouville equation with one turning point
In this paper, the asymptotic representation of the corresponding eigenfunctions of the eigenvalues has been investigated. Furthermore, we obtain the zeros of eigenfunctions.
متن کاملAsymptotic Efficiencies of the MLE Based on Bivariate Record Values from Bivariate Normal Distribution
Abstract. Maximum likelihood (ML) estimation based on bivariate record data is considered as the general inference problem. Assume that the process of observing k records is repeated m times, independently. The asymptotic properties including consistency and asymptotic normality of the Maximum Likelihood (ML) estimates of parameters of the underlying distribution is then established, when m is ...
متن کامل