central 
In our paper [KR] we began a systematic study of representations of the universal central extension[InlineEquation not available: see fulltext.] of the Lie algebra of differential operators on the circle.


In the present paper we study the remaing nontrivial case, that of a negative central chargeN.


We consider some remarkable central elements of the universal enveloping algebraU(gl(n)) which we call quantum immanants.


We modify the Hochschild φmap to construct central extensions of a restricted Lie algebra.


Such central extension gives rise to a goup scheme that leads to a geometric construction of unrestricted representations.


LetG=GL(m, D) whereD is a central division algebra over a commutative nonarchimedean local fieldF.


In this paper, we classify all smooth affine spherical varieties up to coverings, central tori, and ${\mathbb C}^{\times}$fibrations.


Equations with two time scales (refinement equations or dilation equations) are central to wavelet theory.


The radar ambiguity function plays a central role in the theory of radar signals.


In particular a Kakeya type set plays a central role in our analysis.


Structureactivity relationships (SAR) were investigated by functional group modification at the paraposition of the C1' and C2' phenyl substituents on the central aromatic ring.


Ameltolide shares with phenytoin and carbamazepine a common mode of action involving interaction with central voltagedependent sodium channels.


The purpose of this work is the in silico design and characterization of smallmolecule anticancer agents that target the central nervous system.


This paper is devoted to the study of the central limit theorem forX ?Y in the injective and projective tensor product spacesE


A functional central limit theorem for negatively associated sequence


Let Xj,j ≥ 1 be a sequence of negatively associated random variables with EXj = 0, EX2j >amp;lt; ∞ In this paper a functional central limit theorem for negatively associated random variables under some conditions without stationarity is proved.


The weak consistency and asymptotic normality as well as the central limit theorem are presented


Selfnormalized central limit theorem and estimation of variance of partial sums for negative dependent random variables


In this paper a class of selfnormalized central limit theorems and estimators of Var Sn are studied.


Similarly, an appropriately timed and clearly expressed emotion is a central requirement for believable interactive virtual humans.

