Search results for "cond-mat.stat-mech"

showing 10 items of 500 documents

Noise driven translocation of short polymers in crowded solutions

2008

In this work we study the noise induced effects on the dynamics of short polymers crossing a potential barrier, in the presence of a metastable state. An improved version of the Rouse model for a flexible polymer has been adopted to mimic the molecular dynamics by taking into account both the interactions between adjacent monomers and introducing a Lennard-Jones potential between all beads. A bending recoil torque has also been included in our model. The polymer dynamics is simulated in a two-dimensional domain by numerically solving the Langevin equations of motion with a Gaussian uncorrelated noise. We find a nonmonotonic behaviour of the mean first passage time and the most probable tran…

Statistics and ProbabilityPhysicschemistry.chemical_classificationQuantitative Biology::BiomoleculesStatistical Mechanics (cond-mat.stat-mech)Thermal fluctuationsEquations of motionFOS: Physical sciencesdynamics (theory) mechanical properties (DNA RNA membranes bio-polymers) (theory) Brownian MotionStatistical and Nonlinear PhysicsContext (language use)PolymerNoise (electronics)Condensed Matter::Soft Condensed MatterMolecular dynamicschemistryChemical physicsRectangular potential barrierStatistics Probability and UncertaintyFirst-hitting-time modelCondensed Matter - Statistical Mechanics
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Entropic measure of spatial disorder for systems of finite-sized objects

2000

We consider the relative configurational entropy per cell S_Delta as a measure of the degree of spatial disorder for systems of finite-sized objects. It is highly sensitive to deviations from the most spatially ordered reference configuration of the objects. When applied to a given binary image it provides the quantitatively correct results in comparison to its point object version. On examples of simple cluster configurations, two-dimensional Sierpinski carpets and population of interacting particles, the behaviour of S_Delta is compared with the normalized information entropy H' introduced by Van Siclen [Phys. Rev. E 56, (1997) 5211]. For the latter example, the additional middle-scale fe…

Statistics and ProbabilityPhysicseducation.field_of_studyStatistical Mechanics (cond-mat.stat-mech)Degree (graph theory)Binary imageConfiguration entropyPopulationFOS: Physical sciencesCondensed Matter PhysicsMeasure (mathematics)Sierpinski triangleThermodynamic limitCluster (physics)Statistical physicseducationCondensed Matter - Statistical MechanicsPhysica A: Statistical Mechanics and its Applications
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The problem of analytical calculation of barrier crossing characteristics for Levy flights

2008

By using the backward fractional Fokker-Planck equation we investigate the barrier crossing event in the presence of Levy noise. After shortly review recent results obtained with different approaches on the time characteristics of the barrier crossing, we derive a general differential equation useful to calculate the nonlinear relaxation time. We obtain analytically the nonlinear relaxation time for free Levy flights and a closed expression in quadrature of the same characteristics for cubic potential.

Statistics and ProbabilityPhysicsexact results stochastic particle dynamics (theory)Statistical Mechanics (cond-mat.stat-mech)Differential equationEvent (relativity)Mathematical analysisFOS: Physical sciencesClosed expressionStatistical and Nonlinear PhysicsQuadrature (mathematics)Nonlinear systemLevy noiseExact resultsLévy flightStatistics Probability and UncertaintyCondensed Matter - Statistical Mechanics
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Dynamics of the Number of Trades of Financial Securities

1999

We perform a parallel analysis of the spectral density of (i) the logarithm of price and (ii) the daily number of trades of a set of stocks traded in the New York Stock Exchange. The stocks are selected to be representative of a wide range of stock capitalization. The observed spectral densities show a different power-law behavior. We confirm the $1/f^2$ behavior for the spectral density of the logarithm of stock price whereas we detect a $1/f$-like behavior for the spectral density of the daily number of trades.

Statistics and ProbabilityPhysics::Physics and SocietyStatistical Finance (q-fin.ST)LogarithmStatistical Mechanics (cond-mat.stat-mech)Spectral densityFOS: Physical sciencesQuantitative Finance - Statistical FinanceCondensed Matter PhysicsStock priceFOS: Economics and businessStock exchangeComputer Science::Computational Engineering Finance and ScienceEconometricsStock (geology)Condensed Matter - Statistical MechanicsMathematics
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Discord of response

2014

The presence of quantum correlations in a quantum state is related to the state response to local unitary perturbations. Such response is quantified by the distance between the unperturbed and perturbed states, minimized with respect to suitably identified sets of local unitary operations. In order to be a bona fide measure of quantum correlations, the distance function must be chosen among those that are contractive under completely positive and trace preserving maps. The most relevant instances of such physically well behaved metrics include the trace, the Bures, and the Hellinger distance. To each of these metrics one can associate the corresponding discord of response, namely the trace,…

Statistics and ProbabilityPure mathematicsQuantum PhysicsStatistical Mechanics (cond-mat.stat-mech)quantum discordGeneral Physics and AstronomyFOS: Physical sciencesStatistical and Nonlinear PhysicsState (functional analysis)16. Peace & justiceUnitary stateMeasure (mathematics)Quantum technologyQuantum stateModeling and SimulationQuantum informationHellinger distanceQuantum Physics (quant-ph)QuantumMathematical PhysicsCondensed Matter - Statistical MechanicsMathematics
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n-cluster models in a transverse magnetic field

2017

In this paper we analize a family of one dimensional fully analytically solvable models, named the n-cluster models in a transverse magnetic field, in which a many-body cluster interaction competes with a uniform transverse magnetic field. These models, independently by the cluster size n + 2, exibit a quantum phase transition, that separates a paramagnetic phase from a cluster one, that corresponds to a nematic ordered phase or a symmetry-protected topological ordered phase for even or odd n respectively. Due to the symmetries of the spin correlation functions, we prove that these models have no genuine n+2-partite entanglement. On the contrary, a non vanishing concurrence arises between s…

Statistics and ProbabilityQuantum phase transitionPhysicsQuantum PhysicsStatistical Mechanics (cond-mat.stat-mech)SpinsFOS: Physical sciencesStatistical and Nonlinear PhysicsQuantum entanglementCondensed Matter Physics01 natural sciences010305 fluids & plasmasMagnetic fieldParamagnetismQuantum mechanics0103 physical sciencesCluster (physics)quantum complex systemsStatistics Probability and UncertaintyQuantum informationQuantum Physics (quant-ph)010306 general physicsCondensed Matter - Statistical MechanicsSpin-½
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Value-at-Risk and Tsallis statistics: risk analysis of the aerospace sector

2004

In this study, we analyze the aerospace stocks prices in order to characterize the sector behavior. The data analyzed cover the period from January 1987 to April 1999. We present a new index for the aerospace sector and we investigate the statistical characteristics of this index. Our results show that this index is well described by Tsallis distribution. We explore this result and modify the standard Value-at-Risk (VaR), financial risk assessment methodology in order to reflect an asset which obeys Tsallis non-extensive statistics.

Statistics and ProbabilityRisk analysisIndex (economics)Actuarial scienceStatistical Finance (q-fin.ST)EconophysicsStatistical Mechanics (cond-mat.stat-mech)Financial riskTsallis statisticsFOS: Physical sciencesQuantitative Finance - Statistical FinanceDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksCondensed Matter PhysicsFOS: Economics and businessEconomicsEconometricsTsallis distributionAsset (economics)Value at riskCondensed Matter - Statistical Mechanics
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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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Dynamics of a financial market index after a crash

2002

We discuss the statistical properties of index returns in a financial market just after a major market crash. The observed non-stationary behavior of index returns is characterized in terms of the exceedances over a given threshold. This characterization is analogous to the Omori law originally observed in geophysics. By performing numerical simulations and theoretical modelling, we show that the nonlinear behavior observed in real market crashes cannot be described by a GARCH(1,1) model. We also show that the time evolution of the Value at Risk observed just after a major crash is described by a power-law function lacking a typical scale.

Statistics and ProbabilityStatistical Finance (q-fin.ST)Index (economics)Actuarial scienceStatistical Mechanics (cond-mat.stat-mech)EconophysicsScale (ratio)Autoregressive conditional heteroskedasticityFinancial marketFOS: Physical sciencesQuantitative Finance - Statistical FinanceCrashFunction (mathematics)Condensed Matter PhysicsFOS: Economics and businessEconophysicsFinancial marketsCrashesValue at RiskEconometricsEconomicsCondensed Matter - Statistical MechanicsValue at riskPhysica A: Statistical Mechanics and its Applications
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Volatility in Financial Markets: Stochastic Models and Empirical Results

2002

We investigate the historical volatility of the 100 most capitalized stocks traded in US equity markets. An empirical probability density function (pdf) of volatility is obtained and compared with the theoretical predictions of a lognormal model and of the Hull and White model. The lognormal model well describes the pdf in the region of low values of volatility whereas the Hull and White model better approximates the empirical pdf for large values of volatility. Both models fails in describing the empirical pdf over a moderately large volatility range.

Statistics and ProbabilityStatistical Finance (q-fin.ST)Statistical Mechanics (cond-mat.stat-mech)Stochastic modellingEconophysicFinancial marketFOS: Physical sciencesQuantitative Finance - Statistical FinanceStatistical and Nonlinear PhysicsProbability density functionStochastic processeCondensed Matter PhysicsEmpirical probabilitySettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)FOS: Economics and businessVolatilityLognormal modelHullEconomicsEconometricsMathematical PhysicVolatility (finance)Condensed Matter - Statistical Mechanics
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