Search results for " exponent"

showing 10 items of 315 documents

Thermodynamic limit of particle-hole form factors in the massless XXZ Heisenberg chain

2010

We study the thermodynamic limit of the particle-hole form factors of the XXZ Heisenberg chain in the massless regime. We show that, in this limit, such form factors decrease as an explicitly computed power-law in the system-size. Moreover, the corresponding amplitudes can be obtained as a product of a "smooth" and a "discrete" part: the former depends continuously on the rapidities of the particles and holes, whereas the latter has an additional explicit dependence on the set of integer numbers that label each excited state in the associated logarithmic Bethe equations. We also show that special form factors corresponding to zero-energy excitations lying on the Fermi surface decrease as a …

Statistics and ProbabilityHigh Energy Physics - Theory[NLIN.NLIN-SI] Nonlinear Sciences [physics]/Exactly Solvable and Integrable Systems [nlin.SI]LogarithmIntegrable systemfacteurs de formemodèles intégrables[PHYS.MPHY]Physics [physics]/Mathematical Physics [math-ph]FOS: Physical sciences01 natural sciencesPower law[ PHYS.HTHE ] Physics [physics]/High Energy Physics - Theory [hep-th][PHYS.COND.CM-SM] Physics [physics]/Condensed Matter [cond-mat]/Statistical Mechanics [cond-mat.stat-mech]Chain (algebraic topology)[MATH.MATH-MP]Mathematics [math]/Mathematical Physics [math-ph]0103 physical sciencesddc:550[NLIN.NLIN-SI]Nonlinear Sciences [physics]/Exactly Solvable and Integrable Systems [nlin.SI]Limit (mathematics)[MATH.MATH-MP] Mathematics [math]/Mathematical Physics [math-ph][PHYS.COND.CM-SM]Physics [physics]/Condensed Matter [cond-mat]/Statistical Mechanics [cond-mat.stat-mech]010306 general physicsMathematical PhysicsCondensed Matter - Statistical MechanicsMathematical physicsPhysicsNonlinear Sciences - Exactly Solvable and Integrable SystemsStatistical Mechanics (cond-mat.stat-mech)010308 nuclear & particles physics[PHYS.HTHE]Physics [physics]/High Energy Physics - Theory [hep-th][ MATH.MATH-MP ] Mathematics [math]/Mathematical Physics [math-ph]Statistical and Nonlinear PhysicsMathematical Physics (math-ph)[PHYS.MPHY] Physics [physics]/Mathematical Physics [math-ph]Massless particleHigh Energy Physics - Theory (hep-th)[ PHYS.COND.CM-SM ] Physics [physics]/Condensed Matter [cond-mat]/Statistical Mechanics [cond-mat.stat-mech]Thermodynamic limitfonctions de corélation[PHYS.HTHE] Physics [physics]/High Energy Physics - Theory [hep-th][ PHYS.MPHY ] Physics [physics]/Mathematical Physics [math-ph]Statistics Probability and UncertaintyExactly Solvable and Integrable Systems (nlin.SI)Critical exponent[ NLIN.NLIN-SI ] Nonlinear Sciences [physics]/Exactly Solvable and Integrable Systems [nlin.SI]
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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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Lyapunov exponent and topological entropy plateaus in piecewise linear maps

2013

We consider a two-parameter family of piecewise linear maps in which the moduli of the two slopes take different values. We provide numerical evidence of the existence of some parameter regions in which the Lyapunov exponent and the topological entropy remain constant. Analytical proof of this phenomenon is also given for certain cases. Surprisingly however, the systems with that property are not conjugate as we prove by using kneading theory.

Statistics and ProbabilityMathematical analysisGeneral Physics and AstronomyStatistical and Nonlinear PhysicsTopological entropyLyapunov exponentTopological entropy in physicsModuliPiecewise linear functionsymbols.namesakeModeling and SimulationsymbolsConstant (mathematics)Mathematical PhysicsMathematicsJournal of Physics A: Mathematical and Theoretical
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On multi-scale percolation behaviour of the effective conductivity for the lattice model

2015

Macroscopic properties of heterogeneous media are frequently modelled by regular lattice models, which are based on a relatively small basic cluster of lattice sites. Here, we extend one of such models to any cluster's size kxk. We also explore its modified form. The focus is on the percolation behaviour of the effective conductivity of random two- and three-phase systems. We consider only the influence of geometrical features of local configurations at different length scales k. At scales accessible numerically, we find that an increase in the size of the basic cluster leads to characteristic displacements of the percolation threshold. We argue that the behaviour is typical of materials, w…

Statistics and ProbabilityPercolation critical exponentsStatistical Mechanics (cond-mat.stat-mech)FOS: Physical sciencesRegular latticePercolation thresholdMulti-scale analysis; Percolation; Lattice model; Effective mediumConductivityCondensed Matter PhysicsLattice (order)Continuum percolation theoryStatistical physicsCondensed Matter - Statistical MechanicsMathematics
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Random walk approach to the analytic solution of random systems with multiplicative noise—The Anderson localization problem

2006

We discuss here in detail a new analytical random walk approach to calculating the phase-diagram for spatially extended systems with multiplicative noise. We use the Anderson localization problem as an example. The transition from delocalized to localized states is treated as a generalized diffusion with a noise-induced first-order phase transition. The generalized diffusion manifests itself in the divergence of averages of wavefunctions (correlators). This divergence is controlled by the Lyapunov exponent $\gamma$, which is the inverse of the localization length, $\xi=1/\gamma$. The appearance of the generalized diffusion arises due to the instability of a fundamental mode corresponding to…

Statistics and ProbabilityPhase transitionAnderson localizationMathematical analysisFOS: Physical sciencesDisordered Systems and Neural Networks (cond-mat.dis-nn)Lyapunov exponentCondensed Matter - Disordered Systems and Neural NetworksCondensed Matter PhysicsRandom walkMultiplicative noisesymbols.namesakeBounded functionsymbolsDiffusion (business)Divergence (statistics)MathematicsPhysica A: Statistical Mechanics and its Applications
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Critical phenomena at surfaces

1990

Abstract The presence of free surfaces adds a rich and interesting complexity to critical phenomena associated with phase transitions occurring in bulk materials. We shall review Monte Carlo computer simulation studies of surface critical behavior in simple cubic Ising- and XY-models with nearest-neighbor interactions J in the bulk and Js at the surface. These studies allow the identification of various critical exponents and critical amplitude ratios involving both the critical behavior of local quantities and of surface excess corrections to the bulk. We consider both the “ordinary” transition (surface criticality controlled by the bulk) and the “special transition” (a multicritical point…

Statistics and ProbabilityPhase transitionCondensed matter physicsCritical point (thermodynamics)Critical phenomenaMulticritical pointIsing modelStatistical physicsRenormalization groupCondensed Matter PhysicsScalingCritical exponentMathematicsPhysica A: Statistical Mechanics and its Applications
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Fisher Renormalization for Logarithmic Corrections

2008

For continuous phase transitions characterized by power-law divergences, Fisher renormalization prescribes how to obtain the critical exponents for a system under constraint from their ideal counterparts. In statistical mechanics, such ideal behaviour at phase transitions is frequently modified by multiplicative logarithmic corrections. Here, Fisher renormalization for the exponents of these logarithms is developed in a general manner. As for the leading exponents, Fisher renormalization at the logarithmic level is seen to be involutory and the renormalized exponents obey the same scaling relations as their ideal analogs. The scheme is tested in lattice animals and the Yang-Lee problem at t…

Statistics and ProbabilityPhase transitionLogarithmStatistical Mechanics (cond-mat.stat-mech)Multiplicative functionFOS: Physical sciencesStatistical and Nonlinear PhysicsStatistical mechanicsRenormalizationIdeal (order theory)Statistics Probability and UncertaintyCritical exponentScalingCondensed Matter - Statistical MechanicsMathematical physicsMathematics
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Monte Carlo study of asymmetric 2D XY model

1997

Employing the Polyakov-Susskind approximation in a field theoretical treatment, the t-J model for strongly correlated electrons in two dimensions has recently been shown to map effectively onto an asymmetric two-dimensional classical XY model. The critical temperature at which charge-spin separation occurs in the t-J model is determined by the location of the phase transitions of this effective model. Here we report results of Monte Carlo simulations which map out the complete phase diagram in the two-dimensional parameter space and also shed some light on the critical behaviour of the transitions.

Statistics and ProbabilityPhysicsHybrid Monte CarloQuantum Monte CarloMonte Carlo methodDynamic Monte Carlo methodDiffusion Monte CarloStatistical physicsCondensed Matter PhysicsClassical XY modelCritical exponentMonte Carlo molecular modelingPhysica A: Statistical Mechanics and its Applications
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On multi-scale percolation behaviour of the effective conductivity for the lattice model with interacting particles

2015

Recently, the effective medium approach using 2x2 basic cluster of model lattice sites to predict the conductivity of interacting droplets has been presented by Hattori et al. To make a step aside from pure applications, we have studied earlier a multi-scale percolation, employing any kxk basic cluster for non-interacting particles. Here, with interactions included, we examine in what way they alter the percolation threshold for any cluster case. We found that at a fixed length scale k the interaction reduces the range of shifts of the percolation threshold. To determine the critical concentrations, the simplified model is used. It diminishes the number of local conductivities into two main…

Statistics and ProbabilityPhysicsPercolation critical exponentsCondensed matter physicsStatistical Mechanics (cond-mat.stat-mech)business.industryFOS: Physical sciencesPercolation thresholdConductivityCondensed Matter Physics01 natural sciencesDirected percolation010305 fluids & plasmasLattice (order)0103 physical sciencesMicroemulsionFixed length010306 general physicsbusinessThermal energyCondensed Matter - Statistical Mechanics
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Some Remarks on Exponential Families

1987

Abstract The following facts may serve to provide a feeling about how restrictive the assumption of an exponential family is. (a) A one-parameter exponential family in standard form with respect to Lebesgue measure is a location parameter family iff it is normal with fixed variance. (b) It is a scale parameter family iff it is gamma with fixed shape parameter. Both facts are known (see Borges and Pfanzagl 1965; Ferguson 1962; Lindley 1958) but may not have received as much attention as they deserve. Under the assumption of differentiable densities, short and elementary proofs are given.

Statistics and ProbabilityPure mathematicsLocation parameterLebesgue measureGeneral MathematicsLocation-scale familyShape parameterExponential familyCalculusDifferentiable functionStatistics Probability and UncertaintyNatural exponential familyScale parameterMathematicsThe American Statistician
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