Search results for "Statistical physics"

showing 10 items of 1402 documents

A Tutorial Approach to the Renormalization Group and the Smooth Feshbach Map

2006

2.1 Relative Bounds on the Interaction . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 2.2 The Feshbach Map and Pull-Through Formula . . . . . . . . . . . . . . . . . 4 2.3 Elimination of High-Energy Degrees of Freedom . . . . . . . . . . . . . . . . 5 2.4 Normal form of Hamiltonians . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 2.5 Banach Space of Operators . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 2.6 The Renormalization Map Rρ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11

PhysicsRenormalizationDensity matrix renormalization groupDegrees of freedomBanach spaceFunctional renormalization groupStatistical physicsRenormalization groupAstrophysics::Galaxy AstrophysicsMathematical physicsCanonical commutation relation
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The classical statistical mechanics of Frenkel-Kontorova models

1995

The scaling properties of the free energy, specific heat, and mean spacing are calculated for classical Frenkel-Kontorova models at low temperature, in three regimes: near the integrable limit, the anti-integrable limit, and the sliding-pinned transition (“transition by breaking of analyticity”). In particular, the renormalization scheme given in previous work for ground states of Frenkel-Kontorova models is extended to nonzero-temperature Gibbs states, and the hierarchical melting phenomenon of Vallet, Schilling, and Aubry is put on a rigorous footing.

PhysicsRenormalizationWork (thermodynamics)Integrable systemSpecific heatQuantum mechanicsScheme (mathematics)Statistical and Nonlinear PhysicsStatistical physicsStatistical mechanicsLimit (mathematics)ScalingMathematical PhysicsJournal of Statistical Physics
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Effective bias and potentials in steady-state quantum transport: A NEGF reverse-engineering study

2016

Using non-equilibrium Green’s functions combined with many-body perturbation theory, we have calculated steady-state densities and currents through short interacting chains subject to a finite electric bias. By using a steady-state reverse-engineering procedure, the effective potential and bias which reproduce such densities and currents in a non-interacting system have been determined. The role of the effective bias is characterised with the aid of the so-called exchange-correlation bias, recently introduced in a steady-state density-functionaltheory formulation for partitioned systems. We find that the effective bias (or, equivalently, the exchange-correlation bias) depends strongly on th…

PhysicsReverse engineeringHistorySteady state (electronics)Strongly Correlated Electrons (cond-mat.str-el)Condensed Matter - Mesoscale and Nanoscale PhysicsFOS: Physical sciencesInteraction strengthcomputer.software_genreComputer Science ApplicationsEducationCondensed Matter - Strongly Correlated ElectronsQuantum transportPartitioned systemsChain (algebraic topology)Mesoscale and Nanoscale Physics (cond-mat.mes-hall)Green's functionsStatistical physicsPerturbation theorycomplex systemscomputerJournal of Physics: Conference Series
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Fourier-Accelerated Polymer Dynamics

1994

Fourier acceleration methods are applied to simulations of two-dimensional isolated ring polymers of up to N = 64 monomers. Three simulation schemes are compared: (i) a simple Langevin simulation with local updating, (ii) a Langevin algorithm with Fourier acceleration, and (iii) a Fourier accelerated Langevin algorithm combined with Metropolis acceptance of the moves (Force Biased Monte Carlo). In contrast to (i) and (ii), method (iii) is not hampered by systematic discretization errors, which, in case (ii), seem to grow systematically with chain length N. The results on the correlation time 4 are not very accurate, however, the data are in rough agreement with τ s N z with z= 2.5 (Rouse mo…

PhysicsRing (mathematics)symbols.namesakeAccelerationFourier transformSpeedupDiscretizationMonte Carlo methodDynamics (mechanics)Fast Fourier transformsymbolsStatistical physics
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On the Multifractal Character of the Lorenz Attractor

1992

A detailed analysis of the Lorenz attractor in connection with generalized dimensions is presented in this work. Different methods have been employed to estimate these dimensions. Two of them are of standard type. A new method, based on the minimal spanning tree of the point distribution, is extensively tested in this work. It turns out that the Lorenz attractor is very appropriate for being analyzed through this technique, which produces a very clean estimate of the extrema scaling indices α min and α max . The different methods give qualitatively the same result: The Lorenz attractor has a multifractal character

PhysicsRössler attractorMathematics::Dynamical SystemsPhysics and Astronomy (miscellaneous)Multifractal systemPhysics::Data Analysis; Statistics and ProbabilityLorenz systemMinimum spanning treeNonlinear Sciences::Chaotic DynamicsCharacter (mathematics)Hausdorff dimensionAttractorStatistical physicsScalingProgress of Theoretical Physics
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Kinetic-Ising-model description of Newtonian dynamics: A one-dimensional example.

1993

We show that the Newtonian dynamics of a chain of particles with an anharmonic on-site potential and harmonic nearest-neighbor interactions can be described by a one-dimensional kinetic Ising model with most general Glauber transition rates, provided the temperature is low enough compared to the minimum barrier height. The transition rates are calculated by use of the transition-state theory. At higher temperatures, memory effects occur which invalidate this kinetic description. These memory effects are due to the appearance of dynamically correlated clusters of particles performing periodic oscillations over a certain time scale.

PhysicsScale (ratio)AnharmonicityRelaxation (physics)Kinetic ising modelHarmonic (mathematics)Statistical physicsKinetic energyGlauberNewtonian dynamicsPhysical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics
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Stochastic models for heterogeneous relaxation: Application to inhomogeneous optical lineshapes

2001

Dynamic heterogeneity has often been modeled by assuming that a single-particle observable, fluctuating at a molecular scale, is influenced by its coupling to environmental variables fluctuating on a second, perhaps slower, time scale. Starting from the most simple Gaussian Markov process we model the exchange between 'slow' and 'fast' environments by treating the fluctuating single-particle variable as a projection from a higher-dimensional Markov process. The moments of the resulting stochastic process are calculated from the corresponding Master equations or Langevin equations, depending on the model. The calculations show the importance of the way to treat exchange processes. The result…

PhysicsScale (ratio)Stochastic processStochastic modellingGaussianCondensed Matter (cond-mat)Markov processFOS: Physical sciencesCondensed MatterCondensed Matter PhysicsProjection (linear algebra)Electronic Optical and Magnetic Materialssymbols.namesakeMaster equationMaterials ChemistryCeramics and CompositessymbolsStatistical physicsRelaxation (approximation)
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Fractals and multifractals in the description of the cosmic structure

1990

Abstract The concepts of fractals and multifractals are applied to describe the large scale galaxy distribution. It is shown how the Universe fits the fractal geometry on small scales (several Mpc), but that there exists some cut-off where the scale invariance is broken. Even in the scaling region the cosmic structure is not a simple fractal, and the task is to introduce more complex and complete clustering descriptors. At this stage, the concept of multifractals appears to be more efficient to describe the texture of the Universe.

PhysicsScale (ratio)media_common.quotation_subjectComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONAstronomy and AstrophysicsAstrophysics::Cosmology and Extragalactic AstrophysicsMultifractal systemScale invarianceCorrelation function (astronomy)Fractal dimensionCosmologyUniverseFractalStatistical physicsComputingMethodologies_COMPUTERGRAPHICSmedia_commonVistas in Astronomy
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Dynamic fragmentation of a two-dimensional brittle material with quenched disorder

1997

Fragmentation of a two-dimensional brittle material caused by a rapid impact has been analyzed. Computer simulations together with simple arguments are used to obtain a qualitative understanding of crack formation, which is then used to derive an exponential fragment size distribution valid in the large fragment size limit. In the limit of small fragments this distribution is solved numerically, and it is found to obey a scaling law with the exponent {minus}1.5. These results suggest that two different mechanisms are operative in the fragmentation process: branching of propagating cracks determines the small fragment size limit, and merging of the nucleated cracks determines the large size …

PhysicsScaling lawBrittlenessFragmentation (mass spectrometry)CrossoverExponentFracture mechanicsLarge fragmentStatistical physicsExponential functionPhysical Review E
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A Monte-Carlo method to analyze the electromagnetic form factors of the nucleon

2007

Parity violating elastic electron-nucleon scattering allows to determine the vector stangeness content of the nucleon. The final uncertainty on the strange form factors is limited, among other parameters, by the uncertainty on the electromagnetic form factors. These are usually fitted with a functional form constrained by boundary conditions at Q 2= 0 and at large Q 2. These conditions induce huge correlations between parameters which are not taken into account to full extent by purely statistical methods. We describe here a Monte-Carlo method which accounts for correlations between parameters to all orders. We also propose a method for taking into account some systematical errors induced b…

PhysicsScatteringMonte Carlo methodParity (physics)Boundary value problemStatistical physicsNucleon
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