71,685 research outputs found
A Stochastic Generalized Ginzburg-Landau Equation Driven by Jump Noise
This paper is concerned with the stochastic generalized Ginzburg-Landau
equation driven by a multiplicative noise of jump type. By a prior estimate,
weak convergence and monotonicity technique, we prove the existence and
uniqueness of the solution of an initial-boundary value problem with
homogeneous Dirichlet boundary condition. However, for the generalized
Ginzburg-Landau equation, such a locally monotonic condition of the nonlinear
term can not be satisfied in a straight way. For this, we utilize the
characteristic structure of nonlinear term and refined analysis to overcome
this gap
X(1835): A Possible Baryonium?
We point out that (1) the large coupling and suppressed mesonic
coupling of X(1835) and (2) the suppression of the three-body strange final
states strongly indicate that X(1835) may be a baryonium. We also
point out that the branching ratio of should be bigger
than that of . If BES further confirms the
non-observation of X(1835) in the channel, that will be very
puzzling. Finally, X(1835) may be used a tetraquark generator if X(1835) is
really established as a baryonium state.Comment: Comments and suggestions welcom
HySIM: A Hybrid Spectrum and Information Market for TV White Space Networks
We propose a hybrid spectrum and information market for a database-assisted
TV white space network, where the geo-location database serves as both a
spectrum market platform and an information market platform. We study the
inter- actions among the database operator, the spectrum licensee, and
unlicensed users systematically, using a three-layer hierarchical model. In
Layer I, the database and the licensee negotiate the commission fee that the
licensee pays for using the spectrum market platform. In Layer II, the database
and the licensee compete for selling information or channels to unlicensed
users. In Layer III, unlicensed users determine whether they should buy the
exclusive usage right of licensed channels from the licensee, or the
information regarding unlicensed channels from the database. Analyzing such a
three-layer model is challenging due to the co-existence of both positive and
negative network externalities in the information market. We characterize how
the network externalities affect the equilibrium behaviours of all parties
involved. Our numerical results show that the proposed hybrid market can
improve the network profit up to 87%, compared with a pure information market.
Meanwhile, the achieved network profit is very close to the coordinated
benchmark solution (the gap is less than 4% in our simulation).Comment: This manuscript serves as the online technical report of the article
published in IEEE International Conference on Computer Communications
(INFOCOM), 201
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