Search results for "functional"

showing 10 items of 4822 documents

Quadratic ${\mathcal P}{\mathcal T}$-symmetric operators with real spectrum and similarity to self-adjoint operators

2012

It is established that a -symmetric elliptic quadratic differential operator with real spectrum is similar to a self-adjoint operator precisely when the associated fundamental matrix has no Jordan blocks.This article is part of a special issue of Journal of Physics A: Mathematical and Theoretical devoted to ‘Quantum physics with non-Hermitian operators’.

Statistics and ProbabilityPure mathematicsSimilarity (geometry)Spectrum (functional analysis)General Physics and AstronomyStatistical and Nonlinear PhysicsOperator (computer programming)Quadratic equationFundamental matrix (linear differential equation)Modeling and SimulationQuadratic differentialMathematical PhysicsSelf-adjoint operatorMathematicsJournal of Physics A: Mathematical and Theoretical
researchProduct

Random time-changes and asymptotic results for a class of continuous-time Markov chains on integers with alternating rates

2021

We consider continuous-time Markov chains on integers which allow transitions to adjacent states only, with alternating rates. We give explicit formulas for probability generating functions, and also for means, variances and state probabilities of the random variables of the process. Moreover we study independent random time-changes with the inverse of the stable subordinator, the stable subordinator and the tempered stable subodinator. We also present some asymptotic results in the fashion of large deviations. These results give some generalizations of those presented in Di Crescenzo A., Macci C., Martinucci B. (2014).

Statistics and ProbabilityPure mathematicsSubordinatormoderate deviationsInversefractional processfractional process; large deviations; moderate deviations; tempered stable subordinatorlarge deviationsChain (algebraic topology)FOS: MathematicsProbability-generating function60F10 60J27 60G22 60G52MathematicsMarkov chainlcsh:T57-57.97lcsh:MathematicsProbability (math.PR)State (functional analysis)tempered stable subordinatorlcsh:QA1-939Modeling and SimulationSettore MAT/06lcsh:Applied mathematics. Quantitative methodsLarge deviations theoryStatistics Probability and UncertaintyRandom variableMathematics - Probability
researchProduct

Non-Markovianity and memory of the initial state

2017

We explore in a rigorous manner the intuitive connection between the non-Markovianity of the evolution of an open quantum system and the performance of the system as a quantum memory. Using the paradigmatic case of a two-level open quantum system coupled to a bosonic bath, we compute the recovery fidelity, which measures the best possible performance of the system to store a qubit of information. We deduce that this quantity is connected, but not uniquely determined, by the non-Markovianity, for which we adopt the BLP measure proposed in \cite{breuer2009}. We illustrate our findings with explicit calculations for the case of a structured environment.

Statistics and ProbabilityQuantum PhysicsComputer sciencemedia_common.quotation_subjectMeasure (physics)General Physics and AstronomyFidelityFOS: Physical sciencesStatistical and Nonlinear PhysicsState (functional analysis)01 natural sciencesQuantum memory010305 fluids & plasmasConnection (mathematics)Open quantum systemModeling and SimulationQubit0103 physical sciencesStatistical physics010306 general physicsQuantum Physics (quant-ph)Mathematical Physicsmedia_common
researchProduct

Geometric measures of quantum correlations: characterization, quantification, and comparison by distances and operations

2016

We investigate and compare three distinguished geometric measures of bipartite quantum correlations that have been recently introduced in the literature: the geometric discord, the measurement-induced geometric discord, and the discord of response, each one defined according to three contractive distances on the set of quantum states, namely the trace, Bures, and Hellinger distances. We establish a set of exact algebraic relations and inequalities between the different measures. In particular, we show that the geometric discord and the discord of response based on the Hellinger distance are easy to compute analytically for all quantum states whenever the reference subsystem is a qubit. Thes…

Statistics and ProbabilityQuantum discordQuantum PhysicsFOS: Physical sciencesGeneral Physics and AstronomyStatistical and Nonlinear PhysicsState (functional analysis)01 natural sciencesMeasure (mathematics)010305 fluids & plasmasQuantum stateModeling and SimulationQubit0103 physical sciencesStatistical physics[MATH]Mathematics [math]Quantum informationMathematical structureHellinger distanceQuantum Physics (quant-ph)010306 general physicsQCMathematical Physics
researchProduct

Clusters of effects curves in quantile regression models

2018

In this paper, we propose a new method for finding similarity of effects based on quantile regression models. Clustering of effects curves (CEC) techniques are applied to quantile regression coefficients, which are one-to-one functions of the order of the quantile. We adopt the quantile regression coefficients modeling (QRCM) framework to describe the functional form of the coefficient functions by means of parametric models. The proposed method can be utilized to cluster the effect of covariates with a univariate response variable, or to cluster a multivariate outcome. We report simulation results, comparing our approach with the existing techniques. The idea of combining CEC with QRCM per…

Statistics and ProbabilityStatistics::TheoryMultivariate statistics05 social sciencesUnivariateFunctional data analysis01 natural sciencesQuantile regressionQuantile regression coefficients modeling Multivariate analysis Functional data analysis Curves clustering Variable selection010104 statistics & probabilityComputational Mathematics0502 economics and businessParametric modelCovariateStatistics::MethodologyApplied mathematics0101 mathematicsStatistics Probability and UncertaintyCluster analysisSettore SECS-S/01 - Statistica050205 econometrics MathematicsQuantile
researchProduct

A many-body approach to transport in quantum systems : From the transient regime to the stationary state

2022

We review one of the most versatile theoretical approaches to the study of time-dependent correlated quantum transport in nano-systems: the non-equilibrium Green's function (NEGF) formalism. Within this formalism, one can treat, on the same footing, inter-particle interactions, external drives and/or perturbations, and coupling to baths with a (piece-wise) continuum set of degrees of freedom. After a historical overview on the theory of transport in quantum systems, we present a modern introduction of the NEGF approach to quantum transport. We discuss the inclusion of inter-particle interactions using diagrammatic techniques, and the use of the so-called embedding and inbedding techniques w…

Statistics and ProbabilityTIME-DEPENDENT TRANSPORTKADANOFF-BAYM EQUATIONSGeneral Physics and AstronomyFOS: Physical sciencesnon-equilibrium Green's functionGREENS-FUNCTIONDENSITY-FUNCTIONAL THEORYCondensed Matter - Strongly Correlated ElectronsPhysics - Chemical PhysicsMesoscale and Nanoscale Physics (cond-mat.mes-hall)COHERENT TRANSPORTSINGLE-MOLECULEkvanttifysiikkamany-body correlationMathematical Physicsquantum transportMEAN-FIELD THEORYChemical Physics (physics.chem-ph)Quantum PhysicsANDERSON-HOLSTEIN MODELCondensed Matter - Mesoscale and Nanoscale PhysicsStrongly Correlated Electrons (cond-mat.str-el)Statistical and Nonlinear PhysicsCHARGE MIGRATIONModeling and Simulationnon-equilibrium Green’s functionQuantum Physics (quant-ph)SHOT-NOISE
researchProduct

Domains of time-dependent density-potential mappings

2011

The key element in time-dependent density functional theory is the one-to-one correspondence between the one-particle density and the external potential. In most approaches this mapping is transformed into a certain type of Sturm-Liouville problem. Here we give conditions for existence and uniqueness of solutions and construct the weighted Sobolev space they lie in. As a result the class of v-representable densities is considerably widened with respect to previous work.

Statistics and ProbabilityWork (thermodynamics)Pure mathematicsClass (set theory)Atomic Physics (physics.atom-ph)General Physics and AstronomyFOS: Physical sciencesType (model theory)01 natural sciences010305 fluids & plasmasPhysics - Atomic Physics0103 physical sciencesUniqueness010306 general physicsMathematical PhysicsMathematicsCondensed Matter - Materials ScienceQuantum PhysicsMaterials Science (cond-mat.mtrl-sci)Statistical and Nonlinear PhysicsMathematical Physics (math-ph)Sobolev spaceModeling and SimulationDensity functional theoryElement (category theory)Quantum Physics (quant-ph)
researchProduct

Electricity consumption prediction with functional linear regression using spline estimators

2010

A functional linear regression model linking observations of a functional response variable with measurements of an explanatory functional variable is considered. This model serves to analyse a real data set describing electricity consumption in Sardinia. The interest lies in predicting either oncoming weekends’ or oncoming weekdays’ consumption, provided actual weekdays’ consumption is known. A B-spline estimator of the functional parameter is used. Selected computational issues are addressed as well.

Statistics and Probabilitybusiness.industryB-splineEstimatorelectricity consumption in SardiniaSpline (mathematics)functional linear regressionfunctional responseB-splineARH(1)StatisticsEconometricspenalized least squareElectricityStatistics Probability and UncertaintybusinessFunctional linear regressionMathematicsJournal of Applied Statistics
researchProduct

Estimation of total electricity consumption curves by sampling in a finite population when some trajectories are partially unobserved

2019

International audience; Millions of smart meters that are able to collect individual load curves, that is, electricity consumption time series, of residential and business customers at fine scale time grids are now deployed by electricity companies all around the world. It may be complex and costly to transmit and exploit such a large quantity of information, therefore it can be relevant to use survey sampling techniques to estimate mean load curves of specific groups of customers. Data collection, like every mass process, may undergo technical problems at every point of the metering and collection chain resulting in missing values. We consider imputation approaches (linear interpolation, k…

Statistics and Probabilityconstructionkernel smoothingPopulationSurvey samplingimputation01 natural sciences010104 statistics & probability[MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]0502 economics and businessStatisticsImputation (statistics)0101 mathematicseducationsurvey samplingfunctional data050205 econometrics Mathematicsconfidence bandsConsumption (economics)Estimationeducation.field_of_studymissing completely at randombusiness.industry05 social sciencesprincipal analysis by conditional estimationSampling (statistics)[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]nearest neighboursKernel smoothervariance-estimationElectricityStatistics Probability and Uncertaintybusinessvariance approximation
researchProduct

Random walk approximation of BSDEs with H{\"o}lder continuous terminal condition

2018

In this paper, we consider the random walk approximation of the solution of a Markovian BSDE whose terminal condition is a locally Hölder continuous function of the Brownian motion. We state the rate of the L2-convergence of the approximated solution to the true one. The proof relies in part on growth and smoothness properties of the solution u of the associated PDE. Here we improve existing results by showing some properties of the second derivative of u in space. peerReviewed

Statistics and Probabilitynumerical schemeHölder conditionSpace (mathematics)01 natural sciences010104 statistics & probabilityMathematics::Probability0101 mathematicsBrownian motionrandom walk approximationSecond derivativeMathematicsstokastiset prosessitSmoothness (probability theory)numeeriset menetelmät010102 general mathematicsMathematical analysisSpeed of convergenceBackward stochastic differential equationsFunction (mathematics)State (functional analysis)Random walk[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]random walk approxi-mationbackward stochastic differential equationsspeed of convergencespeed of convergence MSC codes : 65C30 60H35 60G50 65G99Mathematics - Probability
researchProduct