Search results for "model [interaction]"

showing 10 items of 1495 documents

Classification of multipartite systems featuring only $|W\rangle$ and $|GHZ\rangle$ genuine entangled states

2015

In this paper we present several multipartite quantum systems featuring the same type of genuine (tripartite) entanglement. Based on a geometric interpretation of the so-called $|W\rangle$ and $|GHZ\rangle$ states we show that the classification of all multipartite systems featuring those and only those two classes of genuine entanglement can be deduced from earlier work of algebraic geometers. This classification corresponds in fact to classification of fundamental subadjoint varieties and establish a connection between those systems, well known in Quantum Information Theory and fundamental simple Lie algebras.

Statistics and ProbabilityQuantum Physics010308 nuclear & particles physicsGeneral Physics and AstronomyStatistical and Nonlinear PhysicsQuantum entanglementQuantum PhysicsType (model theory)01 natural sciencesMultipartiteTheoretical physicsSimple (abstract algebra)Modeling and Simulation0103 physical sciencesLie algebraQuantum informationConnection (algebraic framework)010306 general physicsQuantumMathematical PhysicsMathematics
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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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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)
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Donsker-Type Theorem for BSDEs: Rate of Convergence

2019

In this paper, we study in the Markovian case the rate of convergence in Wasserstein distance when the solution to a BSDE is approximated by a solution to a BSDE driven by a scaled random walk as introduced in Briand, Delyon and Mémin (Electron. Commun. Probab. 6 (2001) Art. ID 1). This is related to the approximation of solutions to semilinear second order parabolic PDEs by solutions to their associated finite difference schemes and the speed of convergence. peerReviewed

Statistics and Probability[MATH.MATH-PR] Mathematics [math]/Probability [math.PR]Markov processType (model theory)scaled random walk01 natural sciencesconvergence rate010104 statistics & probabilitysymbols.namesakeMathematics::ProbabilityConvergence (routing)FOS: MathematicsOrder (group theory)Applied mathematicsWasserstein distance0101 mathematicsDonsker's theoremstokastiset prosessitMathematicskonvergenssiProbability (math.PR)010102 general mathematicsFinite differenceRandom walk[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]Rate of convergencebackward stochastic differential equationssymbolsapproksimointiDonsker’s theoremfinite difference schemedifferentiaaliyhtälötMathematics - Probability
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Spectral characteristics of steady-state Lévy flights in confinement potential profiles

2016

The steady-state correlation characteristics of superdiffusion in the form of Levy flights in one-dimensional confinement potential profiles are investigated both theoretically and numerically. Specifically, for Cauchy stable noise we calculate the steady-state probability density function for an infinitely deep rectangular potential well and for a symmetric steep potential well of the type U(x)∞x2m. For these potential profiles and arbitrary Levy index α, we obtain the asymptotic expression of the spectral power density.

Statistics and Probabilityrigorous results in statistical mechanicSettore FIS/02 - Fisica Teorica Modelli E Metodi MatematiciSteady stateMathematical analysisCauchy distributionstochastic processes (theory)Statistical and Nonlinear PhysicsProbability density functionrigorous results in statistical mechanics; stochastic particle dynamics; stochastic processes (theory); Statistical and Nonlinear Physics; Statistics and Probability; Statistics Probability and UncertaintyType (model theory)01 natural sciencesNoise (electronics)010305 fluids & plasmasstochastic particle dynamicLévy flight0103 physical sciencesStatistics Probability and Uncertainty010306 general physicsStatistical and Nonlinear PhysicPower densityMathematicsJournal of Statistical Mechanics: Theory and Experiment
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Malliavin calculus of Bismut type without probability

2007

We translate in semigroup theory Bismut's way of the Malliavin calculus.

Statistics::TheoryH-derivativeMathematics::Operator AlgebrasProbability (math.PR)General ChemistryType (model theory)Malliavin calculusMalliavin derivativeMathematics::ProbabilityMathematics::K-Theory and HomologyFOS: MathematicsCalculusMathematics::Differential GeometryMathematics - ProbabilityMathematicsProceedings of the Indian Academy of Sciences - Section A
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Riemann-Type Definition of the Improper Integrals

2004

Riemann-type definitions of the Riemann improper integral and of the Lebesgue improper integral are obtained from McShane's definition of the Lebesgue integral by imposing a Kurzweil-Henstock's condition on McShane's partitions.

Statistics::TheoryMathematics::Functional AnalysisMathematics::Dynamical SystemsStatistics::ApplicationsGeneral MathematicsMathematical analysisMathematics::Classical Analysis and ODEsRiemann integralType (model theory)Lebesgue integrationMcShane's partitionRiemann hypothesissymbols.namesakeKurzweil-Henstock's partitionOrdinary differential equationImproper integralsymbolsMathematicsCzechoslovak Mathematical Journal
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Tetrapterosides A and B, two new oleanane-type saponins fromTetrapleura tetraptera

2009

From the stem bark of Tetrapleura tetraptera, two new oleanane-type saponins, tetrapteroside A 3-O-{6-O-[(2E,6S)-2,6-dimethyl-6-hydroxyocta-2,7-dienoyl]-beta-D-glucopyranosyl-(1 --> 2)-beta-D-glucopyranosyl-(1 --> 3)-beta-D-glucopyranosyl-(1 --> 4)-[beta-D-glucopyranosyl-(1 --> 2)]-beta-D-glucopyranosyl}-3,27-dihydroxyoleanolic acid (1), and tetrapteroside B 3-O-{ beta-D-glucopyranosyl-(1 --> 2)-6-O-[(E)-feruloyl]-beta-D-glucopyranosyl-(1 --> 3)-beta-D-glucopyranosyl-(1 --> 4)-[beta-D-glucopyranosyl-(1 --> 2)]-beta-D-glucopyranosyl}-3,27-dihydroxyoleanolic acid (2), were isolated. Further extractions from the roots led to the isolation of four known oleanane-type saponins. Their structures …

Stem barkMagnetic Resonance SpectroscopyMolecular StructureTetrapleura tetrapterabiologyStereochemistryChemistryTetrapteroside BGeneral ChemistryNuclear magnetic resonance spectroscopySaponinsType (model theory)biology.organism_classificationchemistry.chemical_compoundTetrapleuraGeneral Materials ScienceTetrapleuraTwo-dimensional nuclear magnetic resonance spectroscopyOleananeMagnetic Resonance in Chemistry
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Cornering (3+1) sterile neutrino schemes

2001

Using the most recent atmospheric neutrino data, as well as short-baseline, long-baseline and tritium $\beta$-decay data we show that the joint interpretation of the LSND, solar and atmospheric neutrino anomalies in (3+1) sterile neutrino schemes is severely disfavored, in contrast to the theoretically favored (2+2) schemes.

Sterile neutrino modelsPhysicsAtmospheric neutrinosNuclear and High Energy PhysicsSterile neutrinoParticle physicsPhysics::Instrumentation and DetectorsNeutrino oscillationsAstrophysics::High Energy Astrophysical PhenomenaHigh Energy Physics::PhenomenologyFOS: Physical sciencesFísicaInterpretation (model theory)High Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)High Energy Physics - PhenomenologyHigh Energy Physics - Phenomenology (hep-ph)High Energy Physics::ExperimentAstrophysics::Earth and Planetary AstrophysicsAtmospheric neutrino
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Process Drama Based Information Management for Assessment and Classification in Learning

2013

In this chapter we present a formal description of information management for assessment and classification in learning. The description is supported by a structure related to drama process for learning. Our logic follows the idea of invoking uncertainties using underlying categories, and the language of processes in ‘drama process’ is taken to be BPMN (Business Process Modelling Notation).

Structure (mathematical logic)Information managementProcess modelingManagement sciencebusiness.industryComputer scienceProcess (engineering)computer.software_genreBusiness Process Model and NotationProcess dramaArtificial intelligencebusinesscomputerFormal descriptionNatural language processingDrama
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