Search results for "stochastic dynamic"

showing 10 items of 27 documents

A stochastic dynamical social model involving a human happiness index

2018

[EN] This paper presents a new human happiness index built through five dimensions: development, freedom, solidarity, justice and peace. These five dimensions are evaluated through quantitative variables obtained from the Human Development Reports, World Data Bank and Eurostat. The new happiness index has been built following the guidelines set by the Human Development Reports of the UN for the construction of quality indices, and it has been compared on a set of 13 EU countries with the Overall Life Satisfaction Index, which is used by the UN. Moreover, the new index has been included in a dynamic mathematical model through the demographic rates to study the evolution of the population. Th…

050402 sociologyPopulation dynamicsmedia_common.quotation_subjectPopulationEu countriesHappiness index0504 sociology0502 economics and businessEconometrics050207 economicseducationmedia_commonMathematicseducation.field_of_studyLife satisfaction indexApplied Mathematics05 social sciencesStochastic dynamical modelHuman development (humanity)SolidarityComputational MathematicsSociologiaHappinessMATEMATICA APLICADAForecasting
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Noise-induced behavioral change driven by transient chaos

2022

We study behavioral change in the context of a stochastic, non-linear consumption model with preference adjusting, interdependent agents. Changes in long-run consumption behavior are modelled as noise induced transitions between coexisting attractors. A particular case of multistability is considered: two fixed points, whose immediate basins have smooth boundaries, coexist with a periodic attractor, with a fractal immediate basin boundary. If a trajectory leaves an immediate basin, it enters a set of complexly intertwined basins for which final state uncertainty prevails. The standard approach to predicting transition events rooted in the stochastic sensitivity function technique due to Mil…

CO-EXISTING ATTRACTORSVDP::Samfunnsvitenskap: 200::Økonomi: 210::Økonometri: 214General MathematicsApplied MathematicsGeneral Physics and AstronomyMULTISTABILITYBEHAVIORAL CHANGESNON-ATTRACTING CHAOTIC SETStatistical and Nonlinear PhysicsSTOCHASTIC DYNAMICSSTOCHASTIC SYSTEMSNON-ATTRACTING CHAOTIC SETSSTATISTICSVDP::Samfunnsvitenskap: 200::Økonomi: 210CHAOTIC SETSDYNAMICAL SYSTEMSNOISE-INDUCED TRANSITIONCRITICAL LINESCONSUMER BEHAVIORSTOCHASTIC MODELSCONFIDENCE REGIONFORECASTINGNOISE-INDUCED TRANSITIONSTRANSIENT CHAOS
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Complex Systems: an Interdisciplinary Approach

2011

Two main peculiarities characterize complex systems: the nonlinearity and the noisy environmental interaction. The comprehension of noise role in the dynamics of nonlinear systems plays a key aspect in the efforts devoted to understand and model so-called complex systems.

Complex systems Interdisciplinary Physics Noise induced effects nonlinear stochastic dynamics noise enhanced stability stochastic resonance resonant activationSettore FIS/03 - Fisica Della Materia
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Complex dynamics of leukemic cells under intermittent therapy

2009

The evolutionary dynamics of cancerous cell populations in a model of Chronic Myeloid Leukemia (CML) is investigated. A Monte Carlo approach is applied to model the cancer development and progression by simulating the stochastic evolution of initially healthy cells which can experience genetic mutations and modify their reproductive behavior, becoming leukemic clones. Front line therapy for the treatment of this kind of tumor is achieved by tyrosine kinase inhibitors, namely imatinib (Gleevec) or, more recently, dasatinib or nilotinib. Despite they represent the first example of a successful molecular targeted therapy, the development of resistance to these drugs is observed in a proportion…

Complex systemsStochastic dynamicSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Cancer evolution
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Connectivity Influences on Nonlinear Dynamics in Weakly-Synchronized Networks: Insights from Rössler Systems, Electronic Chaotic Oscillators, Model a…

2019

Natural and engineered networks, such as interconnected neurons, ecological and social networks, coupled oscillators, wireless terminals and power loads, are characterized by an appreciable heterogeneity in the local connectivity around each node. For instance, in both elementary structures such as stars and complex graphs having scale-free topology, a minority of elements are linked to the rest of the network disproportionately strongly. While the effect of the arrangement of structural connections on the emergent synchronization pattern has been studied extensively, considerably less is known about its influence on the temporal dynamics unfolding within each node. Here, we present a compr…

Correlation dimensionCollective behaviornonlinear dynamicGeneral Computer ScienceComputer scienceNetwork topologyTopology01 natural sciencesnetwork topology010305 fluids & plasmasnode degreeRössler systemEntropy (classical thermodynamics)nonlinear dynamicschaotic transition0103 physical sciencesEntropy (information theory)Attractor dimensionGeneral Materials Sciencestructural connectivity010306 general physicsprediction errorstochastic dynamicsGeneral EngineeringSaito oscillatorelectronic chaotic oscillatorComplex networkNonlinear systemneuronal culturestochastic dynamicnodal strengthChaotic oscillatorscomplexityentropysynchronizationEntropy (order and disorder)
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Stochastic response determination of nonlinear oscillators with fractional derivatives elements via the Wiener path integral

2014

A novel approximate analytical technique for determining the non-stationary response probability density function (PDF) of randomly excited linear and nonlinear oscillators endowed with fractional derivatives elements is developed. Specifically, the concept of the Wiener path integral in conjunction with a variational formulation is utilized to derive an approximate closed form solution for the system response non-stationary PDF. Notably, the determination of the non-stationary response PDF is accomplished without the need to advance the solution in short time steps as it is required by the existing alternative numerical path integral solution schemes which rely on a discrete version of the…

Euler-Lagrange equationMechanical EngineeringMonte Carlo methodMathematical analysisAerospace EngineeringOcean EngineeringStatistical and Nonlinear PhysicsProbability density functionFractional derivativeCondensed Matter PhysicsFractional calculusEuler–Lagrange equationNonlinear systemNuclear Energy and EngineeringPath integral formulationNonlinear systemWiener Path IntegralStochastic dynamicFunctional integrationFractional variational problemFractional quantum mechanicsCivil and Structural EngineeringMathematicsProbabilistic Engineering Mechanics
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Random vibration of linear and nonlinear structural systems with singular matrices: A frequency domain approach

2017

Abstract A frequency domain methodology is developed for stochastic response determination of multi-degree-of-freedom (MDOF) linear and nonlinear structural systems with singular matrices. This system modeling can arise when a greater than the minimum number of coordinates/DOFs is utilized, and can be advantageous, for instance, in cases of complex multibody systems where the explicit formulation of the equations of motion can be a nontrivial task. In such cases, the introduction of additional/redundant DOFs can facilitate the formulation of the equations of motion in a less labor intensive manner. Specifically, relying on the generalized matrix inverse theory, a Moore-Penrose (M-P) based f…

Frequency responseAcoustics and Ultrasonics02 engineering and technologyCondensed Matter PhysicAcoustics and Ultrasonic01 natural sciences0203 mechanical engineering0103 physical sciencesStochastic dynamicMechanics of Material010301 acousticsMoore–Penrose pseudoinverseMathematicsCovariance matrixMechanical EngineeringMathematical analysisLinear systemEquations of motionCondensed Matter PhysicsMoore-Penrose inverseFrequency domainNonlinear systemFrequency domain; Moore-Penrose inverse; Random vibration; Singular matrix; Stochastic dynamics; Condensed Matter Physics; Mechanics of Materials; Acoustics and Ultrasonics; Mechanical Engineering020303 mechanical engineering & transportsMechanics of MaterialsFrequency domainRandom vibrationSingular matrixRandom vibration
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Iterative closure method for non-linear systems driven by polynomials of Gaussian filtered processes

2008

This paper concerns the statistical characterization of the non-Gaussian response of non-linear systems excited by polynomial forms of filtered Gaussian processes. The non-Gaussianity requires the computation of moments of any order. The problem is solved profiting from both the stochastic equivalent linearization (EL), and the moment equation approach of Ito's stochastic differential calculus through a procedure divided into two parts. The first step requires the linearization of the system, while retaining the non-linear excitation; the response statistical moments are calculated exactly, and constitute a first estimate of the moments of the actual non-linear system. In the second step, t…

Itoˆ ’s calculuDynamical systems theoryIterative methodMoment equation approachMechanical EngineeringGaussianMathematical analysisStochastic calculusSecond moment of areaNon-linear systemComputer Science ApplicationsNonlinear systemsymbols.namesakeLinearizationModeling and SimulationsymbolsStochastic dynamicGeneral Materials ScienceIterative procedureSettore ICAR/08 - Scienza Delle CostruzioniGaussian processCivil and Structural EngineeringMathematicsComputers & Structures
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Enhancement of stability in systems with metastable states

2007

The investigation of noise‐induced phenomena in far from equilibrium systems is one of the approach used to understand the behaviour of physical and biological complex systems. Metastability is a generic feature of many nonlinear systems, and the problem of the lifetime of metastable states involves fundamental aspects of nonequilibrium statistical mechanics. The enhancement of the life‐time of metastable states through the noise enhanced stability effect and the role played by the resonant activation phenomenon will be discussed in models of interdisciplinary physics: (i) Ising model (ii) Josephson junction; (iii) stochastic FitzHugh‐Nagumo model; (iv) a population dynamics model, and (v) …

Josephson effectPhysicseducation.field_of_studySettore FIS/02 - Fisica Teorica Modelli E Metodi MatematiciStochastic volatilityStochastic processPopulationComplex systemStatistical mechanicsNoise Enhanced StabilityStochastic modeling of biological and medical physicsMetastabilityQuantum mechanicsMetastabilityIsing modelStochastic dynamicStatistical physicsMetastability; Noise Enhanced Stability; Stochastic dynamics; Stochastic modeling of biological and medical physicseducation
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An Efficient Wiener Path Integral Technique Formulation for Stochastic Response Determination of Nonlinear MDOF Systems

2015

The recently developed approximate Wiener path integral (WPI) technique for determining the stochastic response of nonlinear/hysteretic multi-degree-of-freedom (MDOF) systems has proven to be reliable and significantly more efficient than a Monte Carlo simulation (MCS) treatment of the problem for low-dimensional systems. Nevertheless, the standard implementation of the WPI technique can be computationally cumbersome for relatively high-dimensional MDOF systems. In this paper, a novel WPI technique formulation/implementation is developed by combining the “localization” capabilities of the WPI solution framework with an appropriately chosen expansion for approximating the system response PDF…

Mechanical EngineeringReliability (computer networking)Monte Carlo methodnonlinear systemCondensed Matter PhysicsDisplacement (vector)Nonlinear systemStochastic dynamicsOrders of magnitude (time)Variational formulationMechanics of MaterialsControl theorystochastic dynamicPath integral formulationBoundary value problemWiener path integralMathematics
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