27,437 research outputs found
Torelli theorem for the parabolic Deligne-Hitchin moduli space
We prove that, given the isomorphism class of the parabolic Deligne-Hitchin
moduli space over a smooth projective curve, we can recover the isomorphism
class of the curve and the parabolic points.Comment: 20 page
Automorphism group of the moduli space of parabolic bundles over a curve
We find the automorphism group of the moduli space of parabolic bundles on a
smooth curve (with fixed determinant and system of weights). This group is
generated by: automorphisms of the marked curve, tensoring with a line bundle,
taking the dual, and Hecke transforms (using the filtrations given by the
parabolic structure). A Torelli theorem for parabolic bundles with arbitrary
rank and generic weights is also obtained. These results are extended to the
classification of birational equivalences which are defined over "big" open
subsets (3-birational maps, i.e. birational maps giving an isomorphism between
open subsets with complement of codimension at least 3).
Finally, an analysis of the stability chambers for the parabolic weights is
performed in order to determine precisely when two moduli spaces of parabolic
vector bundles with different parameters (curve, rank, determinant and weights)
can be isomorphic.Comment: 99 page
Uncovering the Temporal Dynamics of Diffusion Networks
Time plays an essential role in the diffusion of information, influence and
disease over networks. In many cases we only observe when a node copies
information, makes a decision or becomes infected -- but the connectivity,
transmission rates between nodes and transmission sources are unknown.
Inferring the underlying dynamics is of outstanding interest since it enables
forecasting, influencing and retarding infections, broadly construed. To this
end, we model diffusion processes as discrete networks of continuous temporal
processes occurring at different rates. Given cascade data -- observed
infection times of nodes -- we infer the edges of the global diffusion network
and estimate the transmission rates of each edge that best explain the observed
data. The optimization problem is convex. The model naturally (without
heuristics) imposes sparse solutions and requires no parameter tuning. The
problem decouples into a collection of independent smaller problems, thus
scaling easily to networks on the order of hundreds of thousands of nodes.
Experiments on real and synthetic data show that our algorithm both recovers
the edges of diffusion networks and accurately estimates their transmission
rates from cascade data.Comment: To appear in the 28th International Conference on Machine Learning
(ICML), 2011. Website: http://www.stanford.edu/~manuelgr/netrate
Rational extensions of the quantum harmonic oscillator and exceptional Hermite polynomials
We prove that every rational extension of the quantum harmonic oscillator
that is exactly solvable by polynomials is monodromy free, and therefore can be
obtained by applying a finite number of state-deleting Darboux transformations
on the harmonic oscillator. Equivalently, every exceptional orthogonal
polynomial system of Hermite type can be obtained by applying a Darboux-Crum
transformation to the classical Hermite polynomials. Exceptional Hermite
polynomial systems only exist for even codimension 2m, and they are indexed by
the partitions \lambda of m. We provide explicit expressions for their
corresponding orthogonality weights and differential operators and a separate
proof of their completeness. Exceptional Hermite polynomials satisfy a 2l+3
recurrence relation where l is the length of the partition \lambda. Explicit
expressions for such recurrence relations are given.Comment: 25 pages, typed in AMSTe
Quasi-exact solvability in a general polynomial setting
Our goal in this paper is to extend the theory of quasi-exactly solvable
Schrodinger operators beyond the Lie-algebraic class. Let \cP_n be the space
of n-th degree polynomials in one variable. We first analyze "exceptional
polynomial subspaces" which are those proper subspaces of \cP_n invariant
under second order differential operators which do not preserve \cP_n. We
characterize the only possible exceptional subspaces of codimension one and we
describe the space of second order differential operators that leave these
subspaces invariant. We then use equivalence under changes of variable and
gauge transformations to achieve a complete classification of these new,
non-Lie algebraic Schrodinger operators. As an example, we discuss a finite gap
elliptic potential which does not belong to the Treibich-Verdier class.Comment: 29 pages, 10 figures, typed in AMS-Te
Structure theorems for linear and non-linear differential operators admitting invariant polynomial subspaces
In this paper we derive structure theorems that characterize the spaces of
linear and non-linear differential operators that preserve finite dimensional
subspaces generated by polynomials in one or several variables. By means of the
useful concept of deficiency, we can write explicit basis for these spaces of
differential operators. In the case of linear operators, these results apply to
the theory of quasi-exact solvability in quantum mechanics, specially in the
multivariate case where the Lie algebraic approach is harder to apply. In the
case of non-linear operators, the structure theorems in this paper can be
applied to the method of finding special solutions of non-linear evolution
equations by nonlinear separation of variables.Comment: 23 pages, typed in AMS-LaTe
Pomeron Physics at the LHC
We present current and ongoing research aimed at identifying Pomeron effects
at the LHC in both the weak and strongly coupled regimes of QCD.Comment: 11 pages, 9 figures, 1 table. ISMD-2017 proceedings, will be
published on-line on the EPJ Web of Conferences; References adde
The gender gap in educational mismatch: evidence from the Dominican Republic
In this paper we test the existence of gender gaps in educational mismatch for a developing country (Dominican Republic), an interesting case study due to its recent policies of education promotion, which achieved an important increase in enrolment rates at all levels of schooling, particularly for women. We use recent microdata to distinguish between over and undereducation, finding asymmetric effects by gender, particularly harmful for women. Various matching techniques based on propensity score methods were implemented in order to evaluate the impact of the over and under education index on earnings.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech
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Using deuterated PAH amendments to validate chemical extraction methods to predict PAH bioavailability in soils
Validating chemical methods to predict bioavailable fractions of polycyclic aromatic hydrocarbons (PAHs) by comparison with accumulation bioassays is problematic. Concentrations accumulated in soil organisms not only depend on the bioavailable fraction but also on contaminant properties. A historically contaminated soil was freshly spiked with deuterated PAHs (dPAHs). dPAHs have a similar fate to their respective undeuterated analogues, so chemical methods that give good indications of bioavailability should extract the fresh more readily available dPAHs and historic more recalcitrant PAHs in similar proportions to those in which they are accumulated in the tissues of test organisms. Cyclodextrin and butanol extractions predicted the bioavailable fraction for earthworms (Eisenia fetida) and plants (Lolium multiflorum) better than the exhaustive extraction. The PAHs accumulated by earthworms had a larger dPAH:PAH ratio than that predicted by chemical methods. The isotope ratio method described here provides an effective way of evaluating other chemical methods to predict bioavailability
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