Search results for "PLASMA"

showing 10 items of 4043 documents

Comparative Evaluation of Community Detection Algorithms: A Topological Approach

2012

International audience; Community detection is one of the most active fields in complex networks analysis, due to its potential value in practical applications. Many works inspired by different paradigms are devoted to the development of algorithmic solutions allowing to reveal the network structure in such cohesive subgroups. Comparative studies reported in the literature usually rely on a performance measure considering the community structure as a partition (Rand Index, Normalized Mutual information, etc.). However, this type of comparison neglects the topological properties of the communities. In this article, we present a comprehensive comparative study of a representative set of commu…

Statistics and ProbabilityFOS: Computer and information sciencesPhysics - Physics and SocietyComputer science[INFO.INFO-OH]Computer Science [cs]/Other [cs.OH]Rand indexFOS: Physical sciences02 engineering and technologyPhysics and Society (physics.soc-ph)Topology01 natural sciencesMeasure (mathematics)010305 fluids & plasmasSet (abstract data type)Development (topology)0103 physical sciences0202 electrical engineering electronic engineering information engineeringEquivalence (measure theory)Random graphSocial and Information Networks (cs.SI)Computer Science - Social and Information NetworksStatistical and Nonlinear PhysicsNetwork dynamicsPartition (database)[ INFO.INFO-OH ] Computer Science [cs]/Other [cs.OH]020201 artificial intelligence & image processingStatistics Probability and Uncertainty
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Weak pseudo-bosons

2020

We show how the notion of {\em pseudo-bosons}, originally introduced as operators acting on some Hilbert space, can be extended to a distributional settings. In doing so, we are able to construct a rather general framework to deal with generalized eigenvectors of the multiplication and of the derivation operators. Connections with the quantum damped harmonic oscillator are also briefly considered.

Statistics and ProbabilityFOS: Physical sciencesGeneral Physics and Astronomy01 natural sciences010305 fluids & plasmassymbols.namesakeGeneralized eigenvector0103 physical sciences010306 general physicsQuantumSettore MAT/07 - Fisica MatematicaHarmonic oscillatorMathematical PhysicsMathematical physicsBosonPhysicsHilbert spaceStatistical and Nonlinear PhysicsMathematical Physics (math-ph)Construct (python library)non self-adjoint HamiltonianModeling and SimulationsymbolsBiorthogonal setMultiplicationpseudo-bosons
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Cross-diffusion-induced subharmonic spatial resonances in a predator-prey system.

2018

In this paper we investigate the complex dynamics originated by a cross-diffusion-induced subharmonic destabilization of the fundamental subcritical Turing mode in a predator-prey reaction-diffusion system. The model we consider consists of a two-species Lotka-Volterra system with linear diffusion and a nonlinear cross-diffusion term in the predator equation. The taxis term in the search strategy of the predator is responsible for the onset of complex dynamics. In fact, our model does not exhibit any Hopf or wave instability, and on the basis of the linear analysis one should only expect stationary patterns; nevertheless, the presence of the nonlinear cross-diffusion term is able to induce …

Statistics and ProbabilityFood ChainTime FactorsChaoticSpatial Behavior01 natural sciencesInstabilityModels BiologicalSquare (algebra)010305 fluids & plasmasDiffusion0103 physical sciencesAnimalsDiffusion (business)010306 general physicsSettore MAT/07 - Fisica MatematicaPhysicsFourier AnalysisMathematical analysisResonanceCondensed Matter PhysicsNonlinear systemComplex dynamicsNonlinear DynamicsPredatory BehaviorHarmonicLinear ModelsStatistical and Nonlinear PhysicPhysical review. E
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From deterministic cellular automata to coupled map lattices

2016

A general mathematical method is presented for the systematic construction of coupled map lattices (CMLs) out of deterministic cellular automata (CAs). The entire CA rule space is addressed by means of a universal map for CAs that we have recently derived and that is not dependent on any freely adjustable parameters. The CMLs thus constructed are termed real-valued deterministic cellular automata (RDCA) and encompass all deterministic CAs in rule space in the asymptotic limit $\kappa \to 0$ of a continuous parameter $\kappa$. Thus, RDCAs generalize CAs in such a way that they constitute CMLs when $\kappa$ is finite and nonvanishing. In the limit $\kappa \to \infty$ all RDCAs are shown to ex…

Statistics and ProbabilityGeneral Physics and AstronomyFOS: Physical sciencesPattern Formation and Solitons (nlin.PS)Space (mathematics)01 natural sciences010305 fluids & plasmasLinear stability analysis0103 physical sciencesLimit (mathematics)Statistical physics010306 general physicsMathematical PhysicsBifurcationPhysicsCellular Automata and Lattice Gases (nlin.CG)Quiescent stateStatistical and Nonlinear PhysicsNonlinear Sciences - Chaotic DynamicsNonlinear Sciences - Pattern Formation and SolitonsCellular automatonNonlinear Sciences - Adaptation and Self-Organizing SystemsHomogeneousModeling and SimulationContinuous parameterChaotic Dynamics (nlin.CD)Adaptation and Self-Organizing Systems (nlin.AO)Nonlinear Sciences - Cellular Automata and Lattice Gases
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Asymptotics of correlation functions of the Heisenberg-Ising chain in the easy-axis regime

2016

We analyze the long-time large-distance asymptotics of the longitudinal correlation functions of the Heisenberg-Ising chain in the easy-axis regime. We show that in this regime the leading asymptotics of the dynamical two-point functions is entirely determined by the two-spinon contribution to their form factor expansion. Its explicit form is obtained from a saddle-point analysis of the corresponding double integral. It describes the propagation of a wave front with velocity $v_{c_1}$ which is found to be the maximal possible group velocity. Like in wave propagation in dispersive media the wave front is preceded by a precursor running ahead with velocity $v_{c_2}$. As a special case we obta…

Statistics and ProbabilityHigh Energy Physics - Theory[PHYS.COND.GAS]Physics [physics]/Condensed Matter [cond-mat]/Quantum Gases [cond-mat.quant-gas]Correlation functionsWave propagationExact asymptotic resultsGeneral Physics and AstronomyFOS: Physical sciences01 natural sciences010305 fluids & plasmas[ PHYS.COND.GAS ] Physics [physics]/Condensed Matter [cond-mat]/Quantum Gases [cond-mat.quant-gas][ PHYS.HTHE ] Physics [physics]/High Energy Physics - Theory [hep-th]Condensed Matter - Strongly Correlated ElectronsQuantum spin chain0103 physical sciencesQuantum communication010306 general physicsDispersion (water waves)Mathematical PhysicsSaddlePhysicsStrongly Correlated Electrons (cond-mat.str-el)[PHYS.HTHE]Physics [physics]/High Energy Physics - Theory [hep-th]Heisenberg modelMultiple integralMathematical analysisForm factor (quantum field theory)Statistical and Nonlinear PhysicsFunction (mathematics)High Energy Physics - Theory (hep-th)Quantum Gases (cond-mat.quant-gas)Modeling and Simulation[ PHYS.COND.CM-SCE ] Physics [physics]/Condensed Matter [cond-mat]/Strongly Correlated Electrons [cond-mat.str-el]Group velocity[PHYS.COND.CM-SCE]Physics [physics]/Condensed Matter [cond-mat]/Strongly Correlated Electrons [cond-mat.str-el]Condensed Matter - Quantum Gases
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Effective electrical conductivity of microstructural patterns of binary mixtures on a square lattice in the presence of nearest-neighbour interactions

2018

Abstract The effective conductivity and percolative behaviour of microstructural patterns of binary mixtures are studied. Microstructure patterns are not entirely random, but result from the presence of attractive or repulsive interactions and thermal fluctuations. The interactions of the particles with one another lead to the formation of correlations between particle positions, while thermal fluctuations weaken these correlations. A simple lattice model is used, where each site is occupied by a single particle, and interactions can occur only between the nearest neighbours. The Kawasaki algorithm is adopted to create 2D microstructure samples. The microstructure is treated as a continuous…

Statistics and ProbabilityMaterials scienceCondensed matter physicsThermal fluctuationsPercolationPercolation thresholdAtmospheric temperature rangeConductivityCondensed Matter Physics01 natural sciencesSquare lattice010305 fluids & plasmasmaterialsLattice modelEffective properties of heterogeneous0103 physical sciencesParticle010306 general physicsCritical exponentLattice model (physics)Physica A-Statistical Mechanics and Its Applications
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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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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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