Search results for "fluid"

showing 10 items of 5513 documents

Bi-squeezed states arising from pseudo-bosons

2018

Extending our previous analysis on bi-coherent states, we introduce here a new class of quantum mechanical vectors, the \emph{bi-squeezed states}, and we deduce their main mathematical properties. We relate bi-squeezed states to the so-called regular and non regular pseudo-bosons. We show that these two cases are different, from a mathematical point of view. Some physical examples are considered.

Statistics and ProbabilityMathematical propertiesFOS: Physical sciencesGeneral Physics and Astronomysqueezed state01 natural sciences010305 fluids & plasmasModeling and simulationPhysics and Astronomy (all)Theoretical physics0103 physical sciencesMathematical PhysicPoint (geometry)010306 general physicsSettore MAT/07 - Fisica MatematicaQuantumMathematical PhysicsBosonPhysicsQuantum PhysicsStatistical and Nonlinear PhysicsProbability and statisticsMathematical Physics (math-ph)pseudo-bosonModeling and SimulationCoherent statesQuantum Physics (quant-ph)Coherent stateStatistical and Nonlinear PhysicJournal of Physics A: Mathematical and Theoretical
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Numerical simulation of creeping fluid flow in reconstruction models of porous media

2002

Abstract In this paper we examine representative examples of realistic three-dimensional models for porous media by comparing their geometry and permeability with those of the original experimental specimen. The comparison is based on numerically exact evaluations of permeability, porosity, specific internal surface, mean curvature, Euler number and local percolation probabilities. The experimental specimen is a three-dimensional computer tomographic image of Fontainebleau sandstone. The three models are stochastic reconstructions for which many of the geometrical characteristics coincide with those of the experimental specimen. We find that in spite of the similarity in the geometrical pro…

Statistics and ProbabilityMean curvatureComputer simulationGeometryMechanicsPhysics::Classical PhysicsCondensed Matter PhysicsPhysics::GeophysicsPermeability (earth sciences)Fluid dynamicsComputer tomographicPorous mediumPorosityMathematicsPhysica A: Statistical Mechanics and its Applications
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Hydrokinetic simulations of nanoscopic precursor films in rough channels

2009

We report on simulations of capillary filling of high-wetting fluids in nano-channels with and without obstacles. We use atomistic (molecular dynamics) and hydrokinetic (lattice-Boltzmann) approaches which point out clear evidence of the formation of thin precursor films, moving ahead of the main capillary front. The dynamics of the precursor films is found to obey a square-root law as the main capillary front, z^2(t) ~ t, although with a larger prefactor, which we find to take the same value for the different geometries (2D-3D) under inspection. The two methods show a quantitative agreement which indicates that the formation and propagation of thin precursors can be handled at a mesoscopic…

Statistics and ProbabilityMesoscopic physicsMaterials scienceParametric analysisCapillary actionFluid Dynamics (physics.flu-dyn)FOS: Physical sciencesStatistical and Nonlinear PhysicsPhysics - Fluid DynamicsMechanicsCapillary fillingSquare (algebra)Settore FIS/02 - Fisica Teorica Modelli e Metodi MatematiciPhysics::Fluid DynamicsMolecular dynamicsPoint (geometry)Statistics Probability and UncertaintyNanoscopic scale
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Dynamics of the Selkov oscillator.

2018

A classical example of a mathematical model for oscillations in a biological system is the Selkov oscillator, which is a simple description of glycolysis. It is a system of two ordinary differential equations which, when expressed in dimensionless variables, depends on two parameters. Surprisingly it appears that no complete rigorous analysis of the dynamics of this model has ever been given. In this paper several properties of the dynamics of solutions of the model are established. With a view to studying unbounded solutions a thorough analysis of the Poincar\'e compactification of the system is given. It is proved that for any values of the parameters there are solutions which tend to inf…

Statistics and ProbabilityPeriodicityQuantitative Biology - Subcellular ProcessesClassical exampleFOS: Physical sciencesDynamical Systems (math.DS)01 natural sciencesModels BiologicalGeneral Biochemistry Genetics and Molecular Biology010305 fluids & plasmassymbols.namesake0103 physical sciencesFOS: MathematicsPhysics - Biological PhysicsMathematics - Dynamical Systems0101 mathematicsSubcellular Processes (q-bio.SC)MathematicsGeneral Immunology and MicrobiologyCompactification (physics)Applied Mathematics010102 general mathematicsMathematical analysisGeneral MedicineMathematical ConceptsKineticsMonotone polygonBiological Physics (physics.bio-ph)FOS: Biological sciencesModeling and SimulationBounded functionOrdinary differential equationPoincaré conjecturesymbolsGeneral Agricultural and Biological SciencesGlycolysisDimensionless quantityMathematical biosciences
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Haldane Model at finite temperature

2019

We consider the Haldane model, a 2D topological insulator whose phase is defined by the Chern number. We study its phases as temperature varies by means of the Uhlmann number, a finite temperature generalization of the Chern number. Because of the relation between the Uhlmann number and the dynamical transverse conductivity of the system, we evaluate also the conductivity of the model. This analysis does not show any sign of a phase transition induced by the temperature, nonetheless it gives a better understanding of the fate of the topological phase with the increase of the temperature, and it provides another example of the usefulness of the Uhlmann number as a novel tool to study topolog…

Statistics and ProbabilityPhase transitionGeneralizationFOS: Physical sciencesConductivity01 natural sciences010305 fluids & plasmasCondensed Matter - Strongly Correlated ElectronsPhase (matter)0103 physical sciencesStatistical physics010306 general physicsCondensed Matter - Statistical MechanicsPhysicstopological insulatorQuantum PhysicsChern classStatistical Mechanics (cond-mat.stat-mech)Strongly Correlated Electrons (cond-mat.str-el)Topological phase of matter phase transition geometric phase quantum transportStatistical and Nonlinear PhysicsTransverse planeTopological insulatorStatistics Probability and UncertaintyQuantum Physics (quant-ph)Sign (mathematics)
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Modeling interactions between political parties and electors

2017

In this paper we extend some recent results on an operatorial approach to the description of alliances between political parties interacting among themselves and with a basin of electors. In particular, we propose and compare three different models, deducing the dynamics of their related {\em decision functions}, i.e. the attitude of each party to form or not an alliance. In the first model the interactions between each party and their electors are considered. We show that these interactions drive the decision functions towards certain asymptotic values depending on the electors only: this is the {\em perfect party}, which behaves following the electors' suggestions. The second model is an …

Statistics and ProbabilityPhysics - Physics and SocietyDynamical systems theorySpecific timeFOS: Physical sciencesExtension (predicate logic)Physics and Society (physics.soc-ph)Condensed Matter Physics01 natural sciencesDecision making Dynamical systems Quantum models in macroscopic systems010305 fluids & plasmasPoliticsAllianceQuartic function0103 physical sciences010306 general physicsMathematical economicsSettore MAT/07 - Fisica MatematicaMathematics
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First results on applying a non-linear effect formalism to alliances between political parties and buy and sell dynamics

2016

We discuss a non linear extension of a model of alliances in politics, recently proposed by one of us. The model is constructed in terms of operators, describing the \emph{interest} of three parties to form, or not, some political alliance with the other parties. The time evolution of what we call \emph{the decision functions} is deduced by introducing a suitable hamiltonian, which describes the main effects of the interactions of the parties amongst themselves and with their \emph{environments}, {which are }generated by their electors and by people who still have no clear {idea }for which party to vote (or even if to vote). The hamiltonian contains some non-linear effects, which takes into…

Statistics and ProbabilityPhysics - Physics and SocietyFormal structureFOS: Physical sciencesPhysics and Society (physics.soc-ph)01 natural sciences010305 fluids & plasmassymbols.namesakePolitics0103 physical sciencesQuantum models in macroscopic system010306 general physicsSettore MAT/07 - Fisica MatematicaMathematical PhysicsMathematicsEconophysicsEconophysicMathematical Physics (math-ph)Condensed Matter PhysicsNonlinear systemFormalism (philosophy of mathematics)AlliancesymbolsDecision processHamiltonian (quantum mechanics)Mathematical economicsPhysica A: Statistical Mechanics and its Applications
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Structure and evolution of a European Parliament via a network and correlation analysis

2016

We present a study of the network of relationships among elected members of the Finnish parliament, based on a quantitative analysis of initiative co-signatures, and its evolution over 16 years. To understand the structure of the parliament, we constructed a statistically validated network of members, based on the similarity between the patterns of initiatives they signed. We looked for communities within the network and characterized them in terms of members' attributes, such as electoral district and party. To gain insight on the nested structure of communities, we constructed a hierarchical tree of members from the correlation matrix. Afterwards, we studied parliament dynamics yearly, wi…

Statistics and ProbabilityPhysics - Physics and SocietyOperations researchComplex systemBipartite system; Community detection; Complex systems; Correlation analysis; Networks; Social systems; Statistics and Probability; Condensed Matter PhysicsParliamentmedia_common.quotation_subjectOpposition (politics)FOS: Physical sciencesNetworkPhysics and Society (physics.soc-ph)01 natural sciences010305 fluids & plasmasElectoral districtPolitical science0103 physical sciencesSimilarity (psychology)Correlation analysiRegional scienceSocial system010306 general physicsmedia_commonStructure (mathematical logic)GovernmentCommunity detectionCondensed Matter PhysicsBipartite systemQuantitative analysis (finance)Social system
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Quantum jump statistics with a shifted jump operator in a chiral waveguide

2019

Resonance fluorescence, consisting of light emission from an atom driven by a classical oscillating field, is well-known to yield a sub-Poissonian photon counting statistics. This occurs when only emitted light is detected, which corresponds to a master equation (ME) unraveling in terms of the canonical jump operator describing spontaneous decay. Formally, an alternative ME unraveling is possible in terms of a shifted jump operator. We show that this shift can result in sub-Poissonian, Poissonian or super-Poissonian quantum jump statistics. This is shown in terms of the Mandel Q parameter in the limit of long counting times, which is computed through large deviation theory. We present a wav…

Statistics and ProbabilityPhysics---Quantum PhysicsField (physics)FOS: Physical sciencesStatistical and Nonlinear Physics01 natural sciencesPhoton counting010305 fluids & plasmasOperator (computer programming)Resonance fluorescence0103 physical sciencesMaster equationStatisticsJumpdissipative systemsLight emissioncorrelation functionStatistics Probability and Uncertainty010306 general physicsQuantum Physics (quant-ph)Quantum
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Quantization of the elastic modes in an isotropic plate

2006

We quantize the elastic modes in a plate. For this, we find a complete, orthogonal set of eigenfunctions of the elastic equations and we normalize them. These are the phonon modes in the plate and their specific forms and dispersion relations are manifested in low temperature experiments in ultra-thin membranes.

Statistics and ProbabilityPhysicsCondensed Matter - Materials SciencePhononIsotropyGeneral Physics and AstronomyMaterials Science (cond-mat.mtrl-sci)FOS: Physical sciencesStatistical and Nonlinear PhysicsEigenfunctionQuasi particlesPhysics::Fluid DynamicsQuantization (physics)Classical mechanicsModeling and SimulationDispersion relationMathematical Physics
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