Search results for "Random systems"

showing 3 items of 3 documents

Models of Dynamical Modelling Under Uncertainty

1986

The objective of this work is to modelize the evolution of a Model-System to be adapted to a Random System. This evolution is described by means of the change of a probabilistic function, through deterministic rules and in function of the random responses of the modelized System. This probabilistic function can describe the relative weight of distinct submodels (deterministic or random Systems, with constant or variable stimulus), or the stimulus-response relation in the Model-System (Adaptative Random System). We conclude that the Adaptative Random Model permits a more precise, simple and economical modelling.

Random systemsComputer scienceProbabilistic logicApplied mathematicsRandom modelRelative weightDiscrete modellingUncertainty analysis
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Synchronization and fluctuations for interacting stochastic systems with individual and collective reinforcement

2020

The Pólya urn is the paradigmatic example of a reinforced stochastic process. It leads to a random (non degenerated) time-limit. The Friedman urn is a natural generalization whose a.s. time-limit is not random anymore. In this work, in the stream of previous recent works, we introduce a new family of (finite) systems of reinforced stochastic processes, interacting through an additional collective reinforcement of mean field type. The two reinforcement rules strengths (one componentwise, one collective) are tuned through (possibly) different rates n −γ. In the case the reinforcement rates are like n −1 , these reinforcements are of Pólya or Friedman type as in urn contexts and may thus lead …

[MATH.MATH-PR] Mathematics [math]/Probability [math.PR]Interacting random systemssynchronisation[MATH] Mathematics [math]Almost sure convergenceReinforced stochastic processes[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]62P35Secondary 62L2060F05Central limit theoremsFluctuationsFluctuations MSC2010 Classification Primary 60K3560F15[MATH]Mathematics [math]stable convergence
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Anderson localization problem: An exact solution for 2-D anisotropic systems

2007

Our previous results [J.Phys.: Condens. Matter 14 (2002) 13777] dealing with the analytical solution of the two-dimensional (2-D) Anderson localization problem due to disorder is generalized for anisotropic systems (two different hopping matrix elements in transverse directions). We discuss the mathematical nature of the metal-insulator phase transition which occurs in the 2-D case, in contrast to the 1-D case, where such a phase transition does not occur. In anisotropic systems two localization lengths arise instead of one length only.

Statistics and ProbabilityPhysicsAnderson localizationPhase transitionCondensed matter physicsFOS: Physical sciencesDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksCondensed Matter PhysicsTransverse planeMatrix (mathematics)Exact solutions in general relativityRandom systemsAnisotropyPhase diagramMathematical physicsPhysica A: Statistical Mechanics and its Applications
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