216 research outputs found
Fock representation of the renormalized higher powers of white noise and the Virasoro--Zamolodchikov----Lie algebra
The identification of the --Lie algebra of the renormalized higher powers
of white noise (RHPWN) and the analytic continuation of the second quantized
Virasoro--Zamolodchikov----Lie algebra of conformal field theory
and high-energy physics, was recently established in \cite{id} based on results
obtained in [1] and [2]. In the present paper we show how the RHPWN Fock
kernels must be truncated in order to be positive definite and we obtain a Fock
representation of the two algebras. We show that the truncated renormalized
higher powers of white noise (TRHPWN) Fock spaces of order host the
continuous binomial and beta processes
Random variables and positive definite Kernels associates with the Schrodinger algebra
We show that the Feinsilver‐Kocik‐Schott (FKS) kernel for the Schrödinger algebra is not positive definite. We show how the FKS Schrödinger kernel can be reduced to a positive definite one through a restriction of the defining parameters of the exponential vectors. We define the Fock space associated with the reduced FKS Schrödinger kernel. We compute the characteristic functions of quantum random variables naturally associated with the FKS Schrödinger kernel and expressed in terms of the renormalized higher powers of white noise (or RHPWN) Lie algebra generators
Unitarity conditions for the renormalized square of white noise
The formal unitarity conditions for stochastic equations driven by the
renormalized square of white noise are shown to hold rigorously in the
framework of sesquilinear forms on the Fock space
Control of quantum stochastic differential equations
We review the basic features of the quantum stochastic calculus. Iteration schemes for the computation of the matrix elements of
solutions of unitary quantum stochastic evolutions and associated quantum flows are provided along with a basic error analysis of the convergence of
the iteration schemes. The application of quantum stochastic calculus to the solution of the quantum version of the quadratic cost control problem
is described
The Centrally extended Heisenberg algebra and its connection with Schrodinger, Galilei and renormalized higher powers of quantum white noise Lie algebra
In previous papers we have shown that the one mode Heisenberg algebra Heis(1) admits a unique non-trivial central extensions CeHeis(1) which can be realized as a sub-Lie-algebra of the Schrödinger algebra, in fact the Galilei Lie algebra. This gives a natural family of unitary representations of CeHeis(1) and allows an explicit determination of the associated group by exponentiation. In contrast with Heis(1), the group law for CeHeis(1) is given by nonlinear (quadratic) functions of the coordinates. The vacuum characteristic and moment generating functions of the classical random variables canonically associated to CeHeis(1) are computed. The second quantization of CeHeis(1) is also considered
Unitarity conditions for stochastic differential equations driven by nonlinear quantum noise
We prove the stochastic independence of the basic integrators of the renormalized square of white noise (SWN). We use this result to deduce the unitarity conditions for stochastic differential equations driven by the SWN
On the Fock representation of the renormalized powers of quantum white noise
We describe the "no-go" theorems recently obtained by Accardi-Boukas-Franz in [\cite{1}] for the Boson case, and by Accardi-Boukas in [\cite{2}] for the -deformed case, on the issue of the existence of a common Fock space representation of the renormalized powers of quantum white noise (RPWN)
Renormalized powers of quantum white noise
We prove some no-go theorems on the existence of a Fock representation of the *-Lie algebra. In particular we prove the nonexistence of such a representation for any *-Lie algebra containing . This drastic difference with the quadratic case proves the necessity of investigating different renormalization rules for the case of higher powers of white noise
Analysis and synthesis of Markov Jump Linear systems with time-varying delays and partially known transition probabilities
In this note, the stability analysis and stabilization problems for a class of discrete-time Markov jump linear systems with partially known transition probabilities and time-varying delays are investigated. The time-delay is considered to be time-varying and has a lower and upper bounds. The transition probabilities of the mode jumps are considered to be partially known, which relax the traditional assumption in Markov jump systems that all of them must be completely known a priori. Following the recent study on the class of systems, a monotonicity is further observed in concern of the conservatism of obtaining the maximal delay range due to the unknown elements in the transition probability matrix. Sufficient conditions for stochastic stability of the underlying systems are derived via the linear matrix inequality (LMI) formulation, and the design of the stabilizing controller is further given. A numerical example is used to illustrate the developed theory. © 2008 IEEE.published_or_final_versio
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