Search results for "Names"

showing 10 items of 6843 documents

A quantum particle in a box with moving walls

2013

We analyze the non-relativistic problem of a quantum particle that bounces back and forth between two moving walls. We recast this problem into the equivalent one of a quantum particle in a fixed box whose dynamics is governed by an appropriate time-dependent Schroedinger operator.

Statistics and ProbabilitySettore FIS/02 - Fisica Teorica Modelli E Metodi MatematiciDifferential equationFOS: Physical sciencesGeneral Physics and AstronomySettore FIS/03 - Fisica Della MateriaSchrödinger equationsymbols.namesakeBoundary ConditionMathematical PhysicsQuantum Mechanics; Boundary Conditions; Quantum Zeno effect; Time-dependent HamiltoniansPhysicsQuantum PhysicsQuantum particlePartial differential equationOperator (physics)Statistical and Nonlinear PhysicsMathematical Physics (math-ph)Quantum MechanicWave equationClassical mechanicsModeling and SimulationsymbolsQuantum Zeno effectQuantum Physics (quant-ph)Time-dependent HamiltoniansSchrödinger's cat
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Non-Markovianity and Coherence of a Moving Qubit inside a Leaky Cavity

2017

Non-Markovian features of a system evolution, stemming from memory effects, may be utilized to transfer, storage, and revive basic quantum properties of the system states. It is well known that an atom qubit undergoes non-Markovian dynamics in high quality cavities. We here consider the qubit-cavity interaction in the case when the qubit is in motion inside a leaky cavity. We show that, owing to the inhibition of the decay rate, the coherence of the traveling qubit remains closer to its initial value as time goes by compared to that of a qubit at rest. We also demonstrate that quantum coherence is preserved more efficiently for larger qubit velocities. This is true independently of the evol…

Statistics and ProbabilitySettore FIS/02 - Fisica Teorica Modelli E Metodi MatematiciFOS: Physical sciencesMarkov processNon-Markovianity01 natural sciencesSettore FIS/03 - Fisica Della Materia010305 fluids & plasmassymbols.namesakeComputer Science::Emerging TechnologiesQuantum mechanics0103 physical sciencesInitial value problem010306 general physicsQuantumMathematical PhysicsPhysicsQuantum PhysicsMoving atom qubitStatistical and Nonlinear PhysicsQuantum PhysicsCavity quantum electrodynamicQuantum coherenceQubitOpen quantum systemsymbolsQuantum Physics (quant-ph)Coherence (physics)
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On quantumness in multi-parameter quantum estimation

2019

In this article we derive a measure of quantumness in quantum multi-parameter estimation problems. We can show that the ratio between the mean Uhlmann Curvature and the Fisher Information provides a figure of merit which estimates the amount of incompatibility arising from the quantum nature of the underlying physical system. This ratio accounts for the discrepancy between the attainable precision in the simultaneous estimation of multiple parameters and the precision predicted by the Cram\'er-Rao bound. As a testbed for this concept, we consider a quantum many-body system in thermal equilibrium, and explore the quantum compatibility of the model across its phase diagram.

Statistics and ProbabilitySettore FIS/02 - Fisica Teorica Modelli E Metodi Matematiciquantum criticality quantum information statistical inferenceMeasure (physics)Physical systemFOS: Physical sciencesCurvature01 natural sciences010305 fluids & plasmassymbols.namesake0103 physical sciencesFigure of meritStatistical physics010306 general physicsFisher informationQuantumCondensed Matter - Statistical MechanicsMathematicsPhase diagramThermal equilibriumQuantum PhysicsStatistical Mechanics (cond-mat.stat-mech)Statistical and Nonlinear PhysicssymbolsStatistics Probability and UncertaintyQuantum Physics (quant-ph)Journal of Statistical Mechanics: Theory and Experiment
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Selecting the tuning parameter in penalized Gaussian graphical models

2019

Penalized inference of Gaussian graphical models is a way to assess the conditional independence structure in multivariate problems. In this setting, the conditional independence structure, corresponding to a graph, is related to the choice of the tuning parameter, which determines the model complexity or degrees of freedom. There has been little research on the degrees of freedom for penalized Gaussian graphical models. In this paper, we propose an estimator of the degrees of freedom in $$\ell _1$$ -penalized Gaussian graphical models. Specifically, we derive an estimator inspired by the generalized information criterion and propose to use this estimator as the bias term for two informatio…

Statistics and ProbabilityStatistics::TheoryKullback–Leibler divergenceKullback-Leibler divergenceComputer scienceGaussianInformation Criteria010103 numerical & computational mathematicsModel complexityModel selection01 natural sciencesTheoretical Computer Science010104 statistics & probabilitysymbols.namesakeStatistics::Machine LearningGeneralized information criterionEntropy (information theory)Statistics::MethodologyGraphical model0101 mathematicsPenalized Likelihood Kullback-Leibler Divergence Model Complexity Model Selection Generalized Information Criterion.Model selectionEstimatorStatistics::ComputationComputational Theory and MathematicsConditional independencesymbolsPenalized likelihoodStatistics Probability and UncertaintySettore SECS-S/01 - StatisticaAlgorithmStatistics and Computing
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Growth of a colloidal crystallite of hard spheres

1997

Abstract We examine the growth of a single nucleus of hard spheres in a super-saturated colloidal dispersion of hard spheres. A model developed by Bruce Ackerson and Klaus Schatzel based on a Wilson-Frenkel growth law is used. Our emphasis is on the profile of the radial density distribution around the growing (but still spherically symmetric) grain and its Fourier transform, the grain's form factor, which can be observed under small scattering angles in a dynamic light scattering experiment. Depending on the value of the supersaturation we can identify two limiting cases of different growth exponents and density profiles: one is the Frank theory of diffusion-limited growth and the other is…

Statistics and ProbabilitySupersaturationMaterials scienceCondensed matter physicsScatteringForm factor (quantum field theory)Crystal growthHard spheresCondensed Matter Physicssymbols.namesakeClassical mechanicsFourier transformDynamic light scatteringsymbolsCrystallitePhysica A: Statistical Mechanics and its Applications
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Quantitative ergodicity for some switched dynamical systems

2012

International audience; We provide quantitative bounds for the long time behavior of a class of Piecewise Deterministic Markov Processes with state space Rd × E where E is a finite set. The continuous component evolves according to a smooth vector field that switches at the jump times of the discrete coordinate. The jump rates may depend on the whole position of the process. Under regularity assumptions on the jump rates and stability conditions for the vector fields we provide explicit exponential upper bounds for the convergence to equilibrium in terms of Wasserstein distances. As an example, we obtain convergence results for a stochastic version of the Morris-Lecar model of neurobiology.

Statistics and ProbabilitySwitched dynamical systemsDynamical systems theoryMarkov process01 natural sciences34D2393E15010104 statistics & probabilitysymbols.namesakeCouplingPiecewise Deterministic Markov ProcessPosition (vector)60J25FOS: MathematicsState spaceApplied mathematicsWasserstein distance0101 mathematicsMathematicsProbability (math.PR)010102 general mathematicsErgodicityErgodicity[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]Linear Differential EquationsPiecewisesymbolsJumpAMS-MSC. 60J75; 60J25; 93E15; 34D23Vector fieldStatistics Probability and Uncertainty60J75[ MATH.MATH-PR ] Mathematics [math]/Probability [math.PR]Mathematics - Probability
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Test and power considerations for multiple endpoint analyses using sequentially rejective graphical procedures

2009

A variety of powerful test procedures are available for the analysis of clinical trials addressing multiple objectives, such as comparing several treatments with a control, assessing the benefit of a new drug for more than one endpoint, etc. However, some of these procedures have reached a level of complexity that makes it difficult to communicate the underlying test strategies to clinical teams. Graphical approaches have been proposed instead that facilitate the derivation and communication of Bonferroni-based closed test procedures. In this paper we give a coherent description of the methodology and illustrate it with a real clinical trial example. We further discuss suitable power measur…

Statistics and ProbabilityTest strategyEndpoint DeterminationEpidemiologyComputer scienceControl (management)Analysis of clinical trialsMachine learningcomputer.software_genresymbols.namesakeDrug TherapyComputer GraphicsConfidence IntervalsHumansMulticenter Studies as TopicRandomized Controlled Trials as Topicbusiness.industryVariety (cybernetics)Test (assessment)Clinical trialBonferroni correctionClinical Trials Phase III as TopicData Interpretation StatisticalMultiple comparisons problemsymbolsArtificial intelligencebusinessAlgorithmcomputerStatistics in Medicine
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Basic networks: Definition and applications

2009

7 pages, 4 figures, 1 table.-- PMID: 19490867 [PubMed]

Statistics and ProbabilityTheoretical computer scienceInteractomeGeodesicinteractomeSteiner tree problemModels BiologicalGeneral Biochemistry Genetics and Molecular BiologyGraph03 medical and health sciencessymbols.namesakeModuleProtein Interaction MappingmoduleAnimalsSteiner tree030304 developmental biologyMathematicsDiscrete mathematics0303 health sciencesModels StatisticalGeneral Immunology and MicrobiologyApplied Mathematics030302 biochemistry & molecular biologyGeneral MedicinegraphGraphModeling and SimulationsymbolsNeural Networks ComputerGeneral Agricultural and Biological SciencesAlgorithms
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A quantum statistical approach to simplified stock markets

2009

We use standard perturbation techniques originally formulated in quantum (statistical) mechanics in the analysis of a toy model of a stock market which is given in terms of bosonic operators. In particular we discuss the probability of transition from a given value of the {\em portfolio} of a certain trader to a different one. This computation can also be carried out using some kind of {\em Feynman graphs} adapted to the present context.

Statistics and ProbabilityToy modelComputationCondensed Matter Physicsstock marketFOS: Economics and businesssymbols.namesakeQuantum probabilitysymbolsFeynman diagramPortfolioApplied mathematicsnumber operatorsStock marketQuantitative Finance - General FinanceGeneral Finance (q-fin.GN)QuantumMathematical economicsSettore MAT/07 - Fisica MatematicaStock (geology)Mathematics
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Stochastic ordering of classical discrete distributions

2010

For several pairs $(P,Q)$ of classical distributions on $\N_0$, we show that their stochastic ordering $P\leq_{st} Q$ can be characterized by their extreme tail ordering equivalent to $ P(\{k_\ast \})/Q(\{k_\ast\}) \le 1 \le \lim_{k\to k^\ast} P(\{k\})/Q(\{k\})$, with $k_\ast$ and $k^\ast$ denoting the minimum and the supremum of the support of $P+Q$, and with the limit to be read as $P(\{k^\ast\})/Q(\{k^\ast\})$ for $k^\ast$ finite. This includes in particular all pairs where $P$ and $Q$ are both binomial ($b_{n_1,p_1} \leq_{st} b_{n_2,p_2}$ if and only if $n_1\le n_2$ and $(1-p_1)^{n_1}\ge(1-p_2)^{n_2}$, or $p_1=0$), both negative binomial ($b^-_{r_1,p_1}\leq_{st} b^-_{r_2,p_2}$ if and on…

Statistics and ProbabilityWaiting timeApplied MathematicsProbability (math.PR)010102 general mathematicsCoupling (probability)Poisson distribution01 natural sciencesStochastic orderingInfimum and supremumHypergeometric distributionCombinatorics010104 statistics & probabilitysymbols.namesakeFOS: MathematicsMonotone likelihood ratiosymbolsLimit (mathematics)60E150101 mathematicsMathematics - ProbabilityMathematicsAdvances in Applied Probability
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