361,146 research outputs found
Quantum Doubles from a Class of Noncocommutative Weak Hopf Algebras
The concept of biperfect (noncocommutative) weak Hopf algebras is introduced
and their properties are discussed. A new type of quasi-bicrossed products are
constructed by means of weak Hopf skew-pairs of the weak Hopf algebras which
are generalizations of the Hopf pairs introduced by Takeuchi. As a special
case, the quantum double of a finite dimensional biperfect (noncocommutative)
weak Hopf algebra is built. Examples of quantum doubles from a Clifford monoid
as well as a noncommutative and noncocommutative weak Hopf algebra are given,
generalizing quantum doubles from a group and a noncommutative and
noncocommutative Hopf algebra, respectively. Moreover, some characterisations
of quantum doubles of finite dimensional biperfect weak Hopf algebras are
obtained.Comment: LaTex 18 pages, to appear in J. Math. Phys. (To compile, need
pb-diagram.sty, pb-lams.sty, pb-xy.sty and lamsarrow.sty
Recommended from our members
Team to Market (T2M): Creating High Performance Teams in the Digital Age
1. Teams are the essential means of product or service delivery and the fundamental building blocks of modern organisations. An effective team can produce results far outperforming a collection of even the most talented individuals when team members coalesce and jell into a single, well-functioning, fully-aligned organism. This report advances the notion of âTeam to Marketâ (T2M) to help business leaders and knowledge workers understand, create and lead high performance teams in the digital age
Recommended from our members
The digital transformation of business models in the creative industries: A holistic framework and emerging trends
This paper examines how digital technologies facilitate business model innovations in the creative industries. Through a systematic literature review, a holistic business model framework is developed, which is then used to analyse the empirical evidence from the creative industries. The research found that digital technologies have facilitated pervasive changes in business models, and some significant trends have emerged. However, the reconfigured business models are often not ânewâ in the unprecedented sense. Business model innovations are primarily reflected in using digital technologies to enable the deployment of a wider range of business models than previously available to a firm. A significant emerging trend is the increasing adoption of multiple business models as a portfolio within one firm. This is happening in firms of all sizes, when one firm uses multiple business models to servedifferent markets segments, sell different products, or engage with multi-sided markets, or to use different business models over time. The holistic business model framework is refined and extended through a recursive learning process, which can serve both as a cognitive instrument for understanding business models and a planning tool for business model innovations. The paper contributes to our understanding of the theory of business models and how digital technologies facilitate business model innovations in the creative industries. Three new themes for future research are highlighted
Optical technique to study the impact of heavy rain on aircraft performance
A laser based technique was investigated and shown to have the potential to obtain measurements of the size and velocity of water droplets used in a wind tunnel to simulate rain. A theoretical model was developed which included some simple effects due to droplet nonsphericity. Parametric studies included the variation of collection distance (up to 4 m), angle of collection, effect of beam interference by the spray, and droplet shape. Accurate measurements were obtained under extremely high liquid water content and spray interference. The technique finds applications in the characterization of two phase flows where the size and velocity of particles are needed
Empirical risk minimization as parameter choice rule for general linear regularization methods.
We consider the statistical inverse problem to recover f from noisy measurements Y = Tf + sigma xi where xi is Gaussian white noise and T a compact operator between Hilbert spaces. Considering general reconstruction methods of the form (f) over cap (alpha) = q(alpha) (T*T)T*Y with an ordered filter q(alpha), we investigate the choice of the regularization parameter alpha by minimizing an unbiased estiate of the predictive risk E[parallel to T f - T (f) over cap (alpha)parallel to(2)]. The corresponding parameter alpha(pred) and its usage are well-known in the literature, but oracle inequalities and optimality results in this general setting are unknown. We prove a (generalized) oracle inequality, which relates the direct risk E[parallel to f - (f) over cap (alpha pred)parallel to(2)] with the oracle prediction risk inf(alpha>0) E[parallel to T f - T (f) over cap (alpha)parallel to(2)]. From this oracle inequality we are then able to conclude that the investigated parameter choice rule is of optimal order in the minimax sense. Finally we also present numerical simulations, which support the order optimality of the method and the quality of the parameter choice in finite sample situations
Lattice gluodynamics at negative g^2
We consider Wilson's SU(N) lattice gauge theory (without fermions) at
negative values of beta= 2N/g^2 and for N=2 or 3. We show that in the limit
beta -> -infinity, the path integral is dominated by configurations where links
variables are set to a nontrivial element of the center on selected non
intersecting lines. For N=2, these configurations can be characterized by a
unique gauge invariant set of variables, while for N=3 a multiplicity growing
with the volume as the number of configurations of an Ising model is observed.
In general, there is a discontinuity in the average plaquette when g^2 changes
its sign which prevents us from having a convergent series in g^2 for this
quantity. For N=2, a change of variables relates the gauge invariant
observables at positive and negative values of beta. For N=3, we derive an
identity relating the observables at beta with those at beta rotated by +-
2pi/3 in the complex plane and show numerical evidence for a Ising like first
order phase transition near beta=-22. We discuss the possibility of having
lines of first order phase transitions ending at a second order phase
transition in an extended bare parameter space.Comment: 7 pages, 7 figures, uses revtex, Eqs. 15-17 corrected, minor change
Sequential Refinement Solver using Space-Time Domain Decomposition for Non-linear Multiphase Flow Problems
Convergence failure and slow convergence rate are among the biggest
challenges with solving the system of non-linear equations numerically. While
using strictly small time steps sizes and unconditionally stable fully implicit
scheme mitigate the problem, the computational load becomes enormous. We
introduce a sequential local refinement scheme in space-time domain that
improves convergence rate and prevents convergence failure while not
restricting to small time step, thus boosting computational efficiency. We rely
on the non-linear two-phase flow model. The algorithm starts by solving the
coarsest mesh. Then regions with certain features such as saturation front is
refined to the finest resolution sequentially. Such process prevents
convergence failure. After each refinement, the solution from the previous mesh
is used to estimate initial guess of the current mesh for faster convergence.
Numerical results are presented to confirm accuracy of our algorithm as
compared to the traditional fine time step approach. We also observe 5 times
speedup in the runtime by using our algorithm
- âŠ