Search results for "brownian motion"

showing 10 items of 177 documents

On the mechanics of magnetic fluids with field-induced phase transition: application to Couette flow

2018

The influence of Brownian diffusion and magnetophoresis, which are followed by phase transition, on the characteristics of a stationary plane Couette flow of magnetic fluid in a non-uniform magnetic field is discussed. The phase transition conditions in magnetic fluids are assumed as a natural restriction to the particle concentration increase in a non-uniform magnetic field. Profiles of the particles' concentration are calculated, and dependences of the volume magnetic force and of the viscous force are established. © 2018 Institute of Physics, University of Latvia.

010302 applied physicsPhase transitionMaterials scienceField (physics)magnetophoresisPlane (geometry)brownian diffusionmagnetic fluidGeneral Physics and Astronomymagnetic field02 engineering and technologyMechanics021001 nanoscience & nanotechnology01 natural sciencesMagnetic fieldPhysics::Fluid DynamicsVolume (thermodynamics)phase transition0103 physical sciences[PHYS.MECA.MEFL]Physics [physics]/Mechanics [physics]/Fluid mechanics [physics.class-ph]Electrical and Electronic Engineering0210 nano-technologyCouette flowCouette flowBrownian motion
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Density Flow in Dynamical Networks via Mean-Field Games

2016

Current distributed routing control algorithms for dynamic networks model networks using the time evolution of density at network edges, while the routing control algorithm ensures edge density to converge to a Wardrop equilibrium, which was characterized by an equal traffic density on all used paths. We rearrange the density model to recast the problem within the framework of mean-field games. In doing that, we illustrate an extended state-space solution approach and we study the stochastic case where the density evolution is driven by a Brownian motion. Further, we investigate the case where the density evolution is perturbed by a bounded adversarial disturbance. For both the stochastic a…

0209 industrial biotechnologyDensity flowMathematical optimizationMarkov process02 engineering and technology01 natural sciencessymbols.namesake020901 industrial engineering & automationSettore ING-INF/04 - AutomaticaRobustness (computer science)Applied mathematics0101 mathematicsElectrical and Electronic EngineeringBrownian motionMathematics010102 general mathematicsControl engineering decentralized control intelligent transportation systems traffic controlTime evolutionComputer Science ApplicationsMean field theoryControl and Systems EngineeringBounded functionRepeated gamesymbolsSettore MAT/09 - Ricerca OperativaIEEE Transactions on Automatic Control
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Crowd-Averse Robust Mean-Field Games: Approximation via State Space Extension

2016

We consider a population of dynamic agents, also referred to as players. The state of each player evolves according to a linear stochastic differential equation driven by a Brownian motion and under the influence of a control and an adversarial disturbance. Every player minimizes a cost functional which involves quadratic terms on state and control plus a cross-coupling mean-field term measuring the congestion resulting from the collective behavior, which motivates the term “crowd-averse.” Motivations for this model are analyzed and discussed in three main contexts: a stock market application, a production engineering example, and a dynamic demand management problem in power systems. For th…

0209 industrial biotechnologyStochastic stabilityMathematical optimizationCollective behaviorTechnologyComputer sciencePopulationcontrol designcrowd-averse robust mean-field games state space extension dynamic agents linear stochastic differential equation Brownian motion adversarial disturbance cost functional cross-coupling mean-field term collective behavior stock market application production engineering example dynamic demand management problem robust mean-field game approximation error stochastic stability microscopic dynamics macroscopic dynamicscontrol engineering02 engineering and technology01 natural sciencesStochastic differential equationoptimal control020901 industrial engineering & automationQuadratic equationAutomation & Control SystemsEngineeringClosed loop systemsSettore ING-INF/04 - AutomaticaApproximation errorRobustness (computer science)Control theory0102 Applied MathematicsState space0101 mathematicsElectrical and Electronic EngineeringeducationBrownian motioneducation.field_of_studyScience & TechnologyStochastic process010102 general mathematicsRelaxation (iterative method)Engineering Electrical & ElectronicOptimal controlComputer Science Applications0906 Electrical and Electronic EngineeringIndustrial Engineering & AutomationMean field theoryControl and Systems EngineeringSettore MAT/09 - Ricerca Operativa0913 Mechanical Engineering
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Drift and evolutionary forces

2016

This arride analyzes the view of evolutionary theory as a theory of forces. The analogy with Newtonian mechanics has been challenged due to the alleged mismatch between drift and the other evolutionary forces. Since genetic drifr has no direction severa! authors tried to protect its status as a force: denying its lack of directionality, extending the notion of force and looking for a force in physics which also lacks of direction. I analyse these approaches, and although this strategy finally succeeds, this discussion overlooks the crucial point on the debate between causalists and statisticalists: the causal status of evolutionary theoty.; El presente artículo analiza la visión de la teorí…

05 social sciencesAnalogy06 humanities and the artsCausal structure050905 science studies0603 philosophy ethics and religionPhilosophyClassical mechanicsHistory and Philosophy of ScienceGenetic drift060302 philosophyCalculusNewtonian fluid0509 other social sciencesBrownian motionEvolutionary theoryMathematics
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From Feynman–Kac formulae to numerical stochastic homogenization in electrical impedance tomography

2016

In this paper, we use the theory of symmetric Dirichlet forms to derive Feynman–Kac formulae for the forward problem of electrical impedance tomography with possibly anisotropic, merely measurable conductivities corresponding to different electrode models on bounded Lipschitz domains. Subsequently, we employ these Feynman–Kac formulae to rigorously justify stochastic homogenization in the case of a stochastic boundary value problem arising from an inverse anomaly detection problem. Motivated by this theoretical result, we prove an estimate for the speed of convergence of the projected mean-square displacement of the underlying process which may serve as the theoretical foundation for the de…

65C05Statistics and Probability65N21stochastic homogenizationquantitative convergence result01 natural sciencesHomogenization (chemistry)78M40general reflecting diffusion process010104 statistics & probabilitysymbols.namesakeFeynman–Kac formula60J4535Q60Applied mathematicsFeynman diagramBoundary value problemSkorohod decomposition0101 mathematicsElectrical impedance tomographyBrownian motionMathematicsrandom conductivity field65N75010102 general mathematicsFeynman–Kac formulaLipschitz continuityBounded functionstochastic forward problemsymbols60J55Statistics Probability and Uncertainty60H30electrical impedance tomographyThe Annals of Applied Probability
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Exact non-Markovian dynamics of Gaussian quantum channels: Finite-time and asymptotic regimes

2018

We investigate the Markovian and non-Markovian dynamics of Gaussian quantum channels, exploiting a recently introduced necessary and sufficient criterion and the ensuing measure of non-Markovianity based on the violation of the divisibility property of the dynamical map. We compare the paradigmatic instances of Quantum Brownian motion (QBM) and Pure Damping (PD) channels, and for the former we find that the exact dynamical evolution is always non-Markovian in the finite-time as well as in the asymptotic regimes, for any nonvanishing value of the non-Markovianity parameter. If one resorts to the rotating wave approximated (RWA) form of the QBM, that neglects the anomalous diffusion contribut…

Anomalous diffusionGaussianFOS: Physical sciencesMarkov process01 natural sciencesMeasure (mathematics)010305 fluids & plasmassymbols.namesakeQuantum stateAtomic and Molecular Physics0103 physical sciencesStatistical physics010306 general physicsQuantumMathematical PhysicsBrownian motionPhysicsQuantum PhysicsMathematical Physics (math-ph)Atomic and Molecular Physics and OpticsSystem dynamicsCondensed Matter - Other Condensed Mattersymbolsand OpticsQuantum Physics (quant-ph)Physics - OpticsOther Condensed Matter (cond-mat.other)Optics (physics.optics)Physical Review A
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Diffusion Acceleration in Randomly Switching Sawtooth Potential

2005

We investigate an overdamped Brownian motion in symmetric sawtooth periodic potential switched by Markovian dichotomous noise between two configurations. The two configurations differ each other by a translation of half of period. The calculation of the effective diffusion coefficient is reduced to the mean first‐passage time problem, and we obtain the exact expression valid for arbitrary mean rate of switchings and arbitrary intensity of white Gaussian noise. We find the area at parameters plane where acceleration of diffusion in comparison with the free diffusion case takes place.

Anomalous diffusionMathematical analysisSawtooth waveWhite noiseRATCHETSNoise (electronics)TIMESsymbols.namesakeAccelerationGaussian noiseQuantum mechanicssymbolsMOTORSDiffusion (business)Brownian motionMathematics
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Nucleation pathway and kinetics of phase-separating active Brownian particles

2016

Suspensions of purely repulsive but self-propelled Brownian particles might undergo phase separation, a phenomenon that strongly resembles the phase separation of passive particles with attractions. Here we employ computer simulations to study the nucleation kinetics and the microscopic pathway active Brownian disks take in two dimensions when quenched from the homogeneous suspension to propulsion speeds beyond the binodal. We find the same qualitative behavior for the nucleation rate as a function of density as for a passive suspension undergoing liquid-vapor separation, suggesting that the scenario of an effective free energy also extends to the kinetics of phase separation. We study the …

BinodalMaterials scienceStatistical Mechanics (cond-mat.stat-mech)KineticsNucleationFOS: Physical sciences02 engineering and technologyGeneral ChemistryCondensed Matter - Soft Condensed Matter021001 nanoscience & nanotechnologyCondensed Matter Physics01 natural sciencesTransition stateSuspension (chemistry)Chemical physicsPhase (matter)0103 physical sciencesCluster (physics)Soft Condensed Matter (cond-mat.soft)010306 general physics0210 nano-technologyBrownian motionCondensed Matter - Statistical Mechanics
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Growth of Domains and Scaling in the Late Stages of Phase Separation and Diffusion-Controlled Ordering Phenomena

1991

These lectures consider the kinetics of phase changes, induced by a sudden change of external thermodynamic parameters. E.g., we treat a system with a second-order transition at a critical temperature Tc (Fig. 1, left part). For T0 > Tc the system is disordered, while for T < Tc there is an order parameter ± ψ (implying one-component orderings, e.g., an Ising model; later we discuss generalizations). We consider a “quenching experiment”: The system is brought from an initially disordered state at T0 to a state at T where in equilibrium the system should be orderedl. Since no sign of ψ is preferred, the system starts forming locally ordered regions of either sign, separated by domain walls. …

BinodalPhysicsInternal energyCondensed matter physicsCharacteristic lengthPhase (matter)Ising modelScalingBrownian motionSign (mathematics)
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On fractional smoothness and approximations of stochastic integrals

2009

Brownian motion processesStochastic integralsBrownin liikeintegraalilaskentastokastiset prosessit
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