Search results for "ergodicity"

showing 10 items of 31 documents

Almost sure rates of mixing for i.i.d. unimodal maps

2002

International audience; It has been known since the pioneering work of Jakobson and subsequent work by Benedicks and Carleson and others that a positive measure set of quadratic maps admit an absolutely continuous invariant measure. Young and Keller-Nowicki proved exponential decay of its correlation functions. Benedicks and Young, and Baladi and Viana studied stability of the density and exponential rate of decay of the Markov chain associated to i.i.d. small perturbations. The almost sure statistical properties of the sample stationary measures of i.i.d. itineraries are more difficult to estimate than the "averaged statistics". Adapting to random systems, on the one hand partitions associ…

Independent and identically distributed random variables[MATH.MATH-PR] Mathematics [math]/Probability [math.PR]Mathematics::Dynamical SystemsMarkov chainGeneral Mathematics010102 general mathematicsMathematical analysisErgodicityAbsolute continuity01 natural sciencesExponential function[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]010104 statistics & probabilityQuadratic equationInvariant measure0101 mathematicsExponential decayddc:510Mathematics
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Generalized-ensemble simulations and cluster algorithms

2010

The importance-sampling Monte Carlo algorithm appears to be the universally optimal solution to the problem of sampling the state space of statistical mechanical systems according to the relative importance of configurations for the partition function or thermal averages of interest. While this is true in terms of its simplicity and universal applicability, the resulting approach suffers from the presence of temporal correlations of successive samples naturally implied by the Markov chain underlying the importance-sampling simulation. In many situations, these autocorrelations are moderate and can be easily accounted for by an appropriately adapted analysis of simulation data. They turn out…

Phase transitionPartition function (statistical mechanics)Statistical Mechanics (cond-mat.stat-mech)Markov chainComputer scienceErgodicityFOS: Physical sciencesPhysics and Astronomy(all)Cluster (physics)State spaceAlgorithmCondensed Matter - Statistical MechanicsMonte Carlo algorithmPotts modelPhysics Procedia
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STRUCTURAL INSTABILITY IN FERROELECTRICS: SUPERIMPOSING HAMILTONIAN AND STOCHASTIC DYNAMICS

2008

ABSTRACT Structural instability of ferroelectrics distinguished by appearance of coexisting phases and spatial inhomogeneity is at variance with the predictions of statistics in the canonical ensemble. A more refined description includes ergodicity breaking which become apparent at critical temperature when the system resides in metastable state and its development lead to one of possible minimum energy states. In this study the domain growth and switching is reproduced within the framework of Fokker-Planck approach. The mathematical technique is developed for empiric Landau Hamiltonians and improved for application to first principles effective Hamiltonians with supercells and elementary l…

PhysicsCanonical ensembleErgodicityCondensed Matter PhysicsInstabilityElectronic Optical and Magnetic Materialssymbols.namesakeStochastic dynamicsControl and Systems EngineeringLattice (order)MetastabilityMaterials ChemistryCeramics and CompositessymbolsEnergy levelStatistical physicsElectrical and Electronic EngineeringHamiltonian (quantum mechanics)Integrated Ferroelectrics
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High Field Polarization Response in Ferroelectrics: Current Solutions and Challenges

2006

Polarization response including ergodicity breaking and the divergence of relaxation time is reproduced for model Hamiltonians of growing complexity. Systematic derivation of the dynamical equations and its solutions is based on the Fokker-Planck and imaginary time Schrödinger equation techniques with subsequent symplectic integration. Test solutions are addressed to finite size and spatially extended problems with microscopically interpretation of the model parameters as a challenge.

PhysicsMechanical EngineeringErgodicityModel parametersCondensed Matter PhysicsPolarization (waves)Imaginary timeSchrödinger equationsymbols.namesakeMechanics of MaterialsQuantum mechanicssymbolsGeneral Materials ScienceStatistical physicsSymplectic integratorHigh fieldEquations for a falling bodyMaterials Science Forum
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ERGODICITY IN RANDOMLY COLLIDING QUBITS

2009

The dynamics of a single qubit randomly colliding with an environment consisting of just two qubits is discussed. It is shown that the system reaches an equilibrium state which coincides with a pure random state of three qubits. Furthermore the time average and the ensemble averages of the quantities used to characterize the approach to equilibrium (purity and tangles) coincide, a signature of ergodic behavior.

PhysicsPhysics and Astronomy (miscellaneous)Thermodynamic equilibriumErgodicityQuantum PhysicsState (functional analysis)Quantum entanglementComputer Science::Emerging TechnologiesirreversibilityQubitQuantum mechanicsErgodic theoryW stateRandom collisionSignature (topology)entanglement
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Ergodicity breaking in a mean field Potts glass: A Monte Carlo investigation

2002

We use Monte Carlo simulations, single spin-flip as well as parallel tempering techniques to investigate the 10-state fully connected Potts glass for system sizes of up to N = 2560. We find that the α-relaxation shows a strong dependence on N and that for the system sizes considered the system remains ergodic even at temperatures below T D , the dynamical critical temperature for this model. However, if one uses the data for the finite size systems, such as the relaxation times or the time dependence of the spin autocorrelation function, and extrapolates them to the thermodynamic limit, one finds that they are indeed compatible with the results for N = ∞ (which are known from analytical cal…

PhysicsSpin glassHardware and ArchitectureMonte Carlo methodRelaxation (NMR)ErgodicityThermodynamic limitExtrapolationGeneral Physics and AstronomyParallel temperingStatistical physicsPotts modelComputer Physics Communications
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Stochastic Dynamics of Ferroelectric Polarization

2008

This study is addressed to the conceptual and technical problems emerging for ferroelectric systems out of thermodynamic equilibrium. The theoretical setup includes a lattice of interacting cells, each cell obeying regular dynamics determined by Ginzburg-Landau model Hamiltonians whereas relaxation toward minimum energy state is reproduced by thermal environment. Representative examples include polarization response of a single lattice cell, birth of a domain as triggered by the ergodicity breaking, and the effect of nonlocal electroelastic interaction all evidenced combining the Fokker-Planck, imaginary time Schrodinger and symplectic integration techniques.

PhysicsThermodynamic equilibriumErgodicityCondensed Matter PhysicsImaginary timeElectronic Optical and Magnetic MaterialsSchrödinger equationsymbols.namesakeLattice (order)symbolsFokker–Planck equationSymplectic integratorStatistical physicsSymmetry breakingFerroelectrics
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Anomalous partially hyperbolic diffeomorphisms III: Abundance and incoherence

2020

Let $M$ be a closed 3-manifold which admits an Anosov flow. In this paper we develop a technique for constructing partially hyperbolic representatives in many mapping classes of $M$. We apply this technique both in the setting of geodesic flows on closed hyperbolic surfaces and for Anosov flows which admit transverse tori. We emphasize the similarity of both constructions through the concept of $h$-transversality, a tool which allows us to compose different mapping classes while retaining partial hyperbolicity. In the case of the geodesic flow of a closed hyperbolic surface $S$ we build stably ergodic, partially hyperbolic diffeomorphisms whose mapping classes form a subgroup of the mapping…

Pure mathematics37D30Similarity (geometry)Mathematics::Dynamical SystemsGeodesic[MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS]Dynamical Systems (math.DS)dynamical coherenceMSC Primary: 37C15 37D3037C1501 natural sciencessymbols.namesake0103 physical sciencesFOS: MathematicsErgodic theoryMathematics - Dynamical Systems[MATH]Mathematics [math]0101 mathematicsComputingMilieux_MISCELLANEOUSMathematicsConjecture010102 general mathematicsSurface (topology)Mathematics::Geometric Topologystable ergodicityMapping class groupFlow (mathematics)Poincaré conjecturesymbols010307 mathematical physicsGeometry and Topologypartially hyperbolic diffeomorphisms
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Relations between natural and observable measures

2005

We give a complete description of relations between observable and natural measures in connection with invariance, ergodicity and absolute continuity.

Pure mathematicsApplied MathematicsErgodicityMathematical analysisGeneral Physics and AstronomyNatural (music)Statistical and Nonlinear PhysicsObservableAbsolute continuityDynamical system (definition)Mathematical PhysicsMathematicsConnection (mathematics)Nonlinearity
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Ergodicity for a stochastic Hodgkin–Huxley model driven by Ornstein–Uhlenbeck type input

2013

We consider a model describing a neuron and the input it receives from its dendritic tree when this input is a random perturbation of a periodic deterministic signal, driven by an Ornstein-Uhlenbeck process. The neuron itself is modeled by a variant of the classical Hodgkin-Huxley model. Using the existence of an accessible point where the weak Hoermander condition holds and the fact that the coefficients of the system are analytic, we show that the system is non-degenerate. The existence of a Lyapunov function allows to deduce the existence of (at most a finite number of) extremal invariant measures for the process. As a consequence, the complexity of the system is drastically reduced in c…

Statistics and ProbabilityDegenerate diffusion processesWeak Hörmander conditionType (model theory)01 natural sciencesPeriodic ergodicity010104 statistics & probability60H0760J25FOS: Mathematics0101 mathematicsComputingMilieux_MISCELLANEOUSMathematical physicsMathematics60J60Quantitative Biology::Neurons and CognitionProbability (math.PR)010102 general mathematicsErgodicityOrnstein–Uhlenbeck processHodgkin–Huxley model[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]Hodgkin–Huxley model60J60 60J25 60H07Statistics Probability and UncertaintyTime inhomogeneous diffusion processesMathematics - Probability
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