0000000000230896

AUTHOR

Tatyana Ryazanova

showing 4 related works from this author

Dynamics of a minimal consumer network with bi -directional influence

2018

Abstract We study the dynamics of a model of interdependent consumer behavior defined by a family of two-dimensional noninvertible maps. This family belongs to a class of coupled logistic maps with different nonlinearity parameters and coupling terms that depend on one variable only. In our companion paper we considered the case of independent consumers as well as the case of uni-directionally connected consumers. The present paper aims at describing the dynamics in the case of a bi-directional connection. In particular, we investigate the bifurcation structure of the parameter plane associated with the strength of coupling between the consumers, focusing on the mechanisms of qualitative tr…

Numerical AnalysisPlane (geometry)Applied Mathematics05 social sciencesStructure (category theory)Bifurcation diagram01 natural sciences010305 fluids & plasmasConnection (mathematics)Variable (computer science)Control theoryModeling and Simulation0502 economics and business0103 physical sciencesAttractorStatistical physics050207 economicsBifurcationConsumer behaviourMathematicsCommunications in Nonlinear Science and Numerical Simulation
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Sensitivity analysis of consumption cycles

2018

We study the special case of a nonlinear stochastic consumption model taking the form of a 2-dimensional, non-invertible map with an additive stochastic component. Applying the concept of the stochastic sensitivity function and the related technique of confidence domains, we establish the conditions under which the system's complex consumption attractor is likely to become observable. It is shown that the level of noise intensities beyond which the complex consumption attractor is likely to be observed depends on the weight given to past consumption in an individual's preference adjustment.

Consumption (economics)Applied Mathematics05 social sciencesGeneral Physics and AstronomyStatistical and Nonlinear PhysicsObservable01 natural sciences010305 fluids & plasmasNoiseNonlinear system0502 economics and business0103 physical sciencesAttractorEconometricsSensitivity (control systems)050207 economicsSpecial casePreference (economics)Mathematical PhysicsMathematicsChaos: An Interdisciplinary Journal of Nonlinear Science
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Noise-induced transitions in a stochastic Goodwin-type business cycle model

2017

Abstract We motivate and specify a stochastic Goodwin-type business cycle model. Our analysis focusses on a subset of the parameter space where several attractors coexist. Applying a semi-numerical approach based on the stochastic sensitivity function and confidence domains due to Milstein and Ryashko (1995) , we study random transitions between stable attractors in the context of the Goodwin-type economy embedded in an uncertain environment. Relying on a mix of analytical considerations and simulations we demonstrate that under weak noise levels regime switching is a prominent feature in the presence of low saving rates. Moreover, we explain how increased uncertainty can induce an essentia…

Economics and EconometricsVan der Pol oscillatorProcess (engineering)Computer science010102 general mathematics05 social sciencesContext (language use)Type (model theory)Parameter space01 natural sciencesNoise (electronics)0502 economics and businessAttractorBusiness cycleStatistical physics0101 mathematicsMathematical economics050205 econometrics Structural Change and Economic Dynamics
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Transitions in consumption behaviors in a peer-driven stochastic consumer network

2019

Abstract We study transition phenomena between attractors occurring in a stochastic network of two consumers. The consumption of each individual is strongly influenced by the past consumption of the other individual, while own consumption experience only plays a marginal role. From a formal point of view we are dealing with a special case of a nonlinear stochastic consumption model taking the form of a 2-dimensional non-invertible map augmented by additive and/or parametric noise. In our investigation of the stochastic transitions we rely on a mixture of analytical and numerical techniques with a central role given to the concept of the stochastic sensitivity function and the related techni…

Consumption (economics)General MathematicsApplied MathematicsGeneral Physics and AstronomyStatistical and Nonlinear PhysicsFixed point01 natural sciencesNoise (electronics)010305 fluids & plasmasNonlinear system0103 physical sciencesAttractorStatistical physicsSensitivity (control systems)Special case010301 acousticsMathematicsParametric statisticsChaos, Solitons & Fractals
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