Search results for "Mean field theory"

showing 10 items of 174 documents

Superconducting size effect in thin films under electric field: Mean-field self-consistent model

2019

We consider effects of an externally applied electrostatic field on superconductivity, self-consistently within a BCS mean field model, for a clean 3D metal thin film. The electrostatic change in superconducting condensation energy scales as $\mu^{-1}$ close to subband edges as a function of the Fermi energy $\mu$, and follows 3D scaling $\mu^{-2}$ away from them. We discuss nonlinearities beyond gate effect, and contrast results to recent experiments.

---Josephson effectsuprajohtavuusFOS: Physical sciences02 engineering and technology01 natural sciencessuprajohteetSuperconductivity (cond-mat.supr-con)superconducting phase transitionElectric fieldCondensed Matter::Superconductivity0103 physical sciencesThin film010306 general physicsScalingCondensed Matter::Quantum GasesSuperconductivityPhysicsCondensed matter physicsCondensed Matter - SuperconductivityFermi energy021001 nanoscience & nanotechnologyMean field theorythin filmsmesoscopicsohutkalvot0210 nano-technologyEnergy (signal processing)Physical Review B
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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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Consensus via multi-population robust mean-field games

2017

In less prescriptive environments where individuals are told ‘what to do’\ud but not ‘how to do’, synchronization can be a byproduct of strategic thinking,\ud prediction, and local interactions. We prove this in the context of multipopulation\ud robust mean-field games. The model sheds light on a multi-scale\ud phenomenon involving fast synchronization within the same population and\ud slow inter-cluster oscillation between different populations.

0209 industrial biotechnologyTheoretical computer scienceGeneral Computer ScienceComputer scienceDistributed computingPopulationConsensuContext (language use)02 engineering and technologySynchronizationMean-field games01 natural sciences020901 industrial engineering & automationPhenomenonSynchronization (computer science)Oscillation (cell signaling)0101 mathematicsElectrical and Electronic Engineeringeducationeducation.field_of_studySynchronization; Consensus; Mean-field gamesStrategic thinkingMechanical Engineering010102 general mathematicsMean field theoryControl and Systems EngineeringMulti populationSettore MAT/09 - Ricerca OperativaSystems & Control Letters
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Robust Mean Field Games with Application to Production of an Exhaustible Resource

2012

International audience; In this paper, we study mean field games under uncertainty. We consider a population of players with individual states driven by a standard Brownian motion and a disturbance term. The contribution is three-fold: First, we establish a mean field system for such robust games. Second, we apply the methodology to an exhaustible resource production. Third, we show that the dimension of the mean field system can be significantly reduced by considering a functional of the first moment of the mean field process.

0209 industrial biotechnologyeducation.field_of_study010102 general mathematicsPopulationProcess (computing)02 engineering and technologyGeneral Medicinecontrol optimization game theory01 natural sciencesTerm (time)[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]symbols.namesake020901 industrial engineering & automationResource (project management)Dimension (vector space)Mean field theoryWiener processsymbolsProduction (economics)Settore MAT/09 - Ricerca Operativa0101 mathematicseducationMathematical economicsMathematicsIFAC Proceedings Volumes
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Opinion dynamics in social networks through mean field games

2016

Emulation, mimicry, and herding behaviors are phenomena that are observed when multiple social groups interact. To study such phenomena, we consider in this paper a large population of homogeneous social networks. Each such network is characterized by a vector state, a vector-valued controlled input, and a vector-valued exogenous disturbance. The controlled input of each network aims to align its state to the mean distribution of other networks' states in spite of the actions of the disturbance. One of the contributions of this paper is a detailed analysis of the resulting mean-field game for the cases of both polytopic and $mathcal L_2$ bounds on controls and disturbances. A second contrib…

0209 industrial biotechnologyeducation.field_of_studyControl and OptimizationDisturbance (geology)Applied MathematicsPopulation020206 networking & telecommunications02 engineering and technologyState (functional analysis)020901 industrial engineering & automationMean field theoryControl theoryBellman equationConvergence (routing)0202 electrical engineering electronic engineering information engineeringSpiteHerdingOpinion DynamicsSettore MAT/09 - Ricerca OperativaeducationMathematics
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Wavelength selection of rippling patterns in myxobacteria

2016

Rippling patterns of myxobacteria appear in starving colonies before they aggregate to form fruiting bodies. These periodic traveling cell density waves arise from the coordination of individual cell reversals, resulting from an internal clock regulating them, and from contact signaling during bacterial collisions. Here we revisit a mathematical model of rippling in myxobacteria due to Igoshin et al.\ [Proc. Natl. Acad. Sci. USA {\bf 98}, 14913 (2001) and Phys. Rev. E {\bf 70}, 041911 (2004)]. Bacteria in this model are phase oscillators with an extra internal phase through which they are coupled to a mean-field of oppositely moving bacteria. Previously, patterns for this model were obtaine…

0301 basic medicinePeriodicityPhase transitionPhase (waves)FOS: Physical sciencesModels BiologicalMotion03 medical and health sciencesQuantum mechanicsWavenumberComputer SimulationMyxococcalesPhysics - Biological PhysicsCondensed Matter - Statistical MechanicsPhysicsStatistical Mechanics (cond-mat.stat-mech)Kuramoto modelNonlinear systemWavelength030104 developmental biologyClassical mechanicsNonlinear DynamicsMean field theoryBiological Physics (physics.bio-ph)RipplingLinear Models
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Model calculations for wetting transitions in polymer mixtures

1985

Partially compatible binary mixtures of linear flexible polymers are considered in the presence of a wall which preferentially adsorbs one component. Using a Flory-Huggins type mean field approach, it is shown that in typical cases at two-phase coexistence the wall is always « wet », i.e. coated with a macroscopically thick layer of the preferred phase, and the transition to the non wet state occurs at volume fractions of the order of 1/~N (where N is the chain length) at the coexistence curve. Both first and second order wetting transitions are found, and the variation of the surface layer thickness, surface excess energy and related quantities through the transition is studied. We discuss…

BinodalCondensed matter physicsChemistryThermodynamicsCondensed Matter::Soft Condensed Mattersymbols.namesakeGibbs isothermWetting transitionMean field theoryPhase (matter)symbolsIsing modelWettingSurface layerJournal de Physique
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Phase separation versus wetting: A mean field theory for symmetrical polymer mixtures confined between selectively attractive walls

1996

Partially compatible symmetrical (N A # N B = N) binary mixtures of linear flexible polymers (A, B) are considered in the presence of two equivalent walls a distance D apart, assuming that both walls preferentially adsorb the same component. Using a Flory-Huggins type mean field approach analogous to previous work studying wetting phenomena in the semi-infinite version of this model, where D → ∞, it is shown that a single phase transition occurs in this thin film geometry, namely a phase separation between an A-rich and a B-rich phase (both phases include the bulk of the film). The coexistence curve is shifted to smaller values of the inverse Flory-Huggins parameter x -1 with decreasing D, …

BinodalPhysics and Astronomy (miscellaneous)Mean field theoryCondensed matter physicsAntisymmetric relationChemistryPhase (matter)Volume fractionGeneral EngineeringInverseBoundary value problemWettingAtomic and Molecular Physics and Optics
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Self-assembly of bioelastomeric structures from solutions: Mean-field critical behavior and Flory-Huggins free energy of interactions

1993

Elastic and quasi-elastic light scattering studies were performed on aqueous solutions of poly (Val-Pro-Gly-Gly), a representative synthetic bioelastomer that differs from the previously studied poly (Val-Pro-Gly-Val-Gly) by the deletion of the hydrophobic Val in position four. When the spinodal line was approached from the region of thermodynamic stability, the intensity of light scattered by fluctuations, and the related lifetime and correlation length, were observed to diverge with mean-field critical exponents for both systems. Fitting of the experimental data allowed determining the spinodal and binodal (coexistence) lines that characterize the phase diagrams of the two systems, and it…

BinodalSpinodalProtein ConformationChemistryMolecular Sequence DataOrganic ChemistryBiophysicsSortingThermodynamicsGeneral MedicineStatistical fluctuationsFlory–Huggins solution theoryBiochemistryLight scatteringSolutionsBiomaterialsMean field theoryThermodynamicsPhysical chemistryAmino Acid SequenceRubberPeptidesCritical exponentBiopolymers
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