Evidence map›Paper›PMID 39219722›Full record

ArticleNonlinear dynamics2024

Exploring chaos and ergodic behavior of an inductorless circuit driven by stochastic parameters.

Soumyajit Seth, Abhijit Bera, Vikram Pakrashi

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Article in Nonlinear dynamics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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3 authors.

Soumyajit Seth *UCD Centre for Mechanics, Dynamical Systems and Risk Laboratory, School of Mechanical and Materials Engineering, University College Dublin, Dublin, Ireland.ORCID 0000-0003-3528-2020
Abhijit Bera *Department of Physical Sciences, Indian Institute of Science Education and Research Kolkata, Mohanpur Campus, Kalyani, IN 741246 India.ORCID 0000-0003-2201-1133
Vikram PakrashiUCD Centre for Mechanics, Dynamical Systems and Risk Laboratory, School of Mechanical and Materials Engineering, University College Dublin, Dublin, Ireland.ORCID 0000-0002-8318-3521

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There exist extensive studies on periodic and random perturbations of various smooth maps investigating their dynamics. Unlike smooth maps, non-smooth maps are yet to be studied extensively under a stochastic regime. This paper presents a stochastic piecewise-smooth map derived from a simple inductorless switching circuit. The stochasticity is introduced in parameter values. The distribution of the parameter values is bounded and randomly selected from uniform and triangular distributions and ranges between high and low bifurcation parameter values of the deterministic map. Due to this inherent stochasticity in parameter values, the time evolution of the state variable cannot be predicted at a specific time instant. We observe that the state variable exhibits completely ergodic behavior when the minimum value of the parameter is the same as the minimum bifurcation parameter of the deterministic system. However, the ensemble average of the state variable converges to a fixed value. The system demonstrates nonchaotic behavior for a particular range of parameter values but the deterministic map in that bifurcation range shows interplay between chaos and periodic orbits. The values of Lyapunov exponents decrease monotonically with increased asymmetry of the distribution from which the bifurcation parameter values are chosen. We determine the probability density function of the stochastic map and verify its invariance under initial conditions. The most noteworthy result is the disappearance of chaotic behavior when the lower range of the distribution is varied while maintaining a fixed upper threshold for a particular distribution, even though the deterministic map exhibits an array of periodic and chaotic behaviors within the range. As the period-incrementing cascade with chaotic inclusion only occurs in nonsmooth maps, this paper numerically shows the stochasticity of a piecewise-smooth map obtained from a practical system for the first time where randomness is introduced in the parameter space.

Indexed as

ChaosErgodicityLyapunov ExponentPiecewise-smooth mapSwitching Dynamical SystemsSwitching Electronic Circuit.

Identifiers

PMID39219722
PMCPMC11362311

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