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contributor authorBrojen Singh, R. K.
date accessioned2017-05-09T01:15:31Z
date available2017-05-09T01:15:31Z
date issued2015
identifier issn1555-1415
identifier othercnd_010_01_011001.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/157226
description abstractWe present the numerical estimation of noise parameter induced in the dynamics of the variables by random particle interactions involved in the stochastic chemical oscillator and use it as order parameter to detect the transition from stochastic to deterministic regime. In stochastic regime, this noise parameter is found to be increased as system size decreases, whereas in deterministic regime it remains constant to minimum value as system size increases. This let the transition from fluctuating to fixed limit cycle oscillation as the system goes from stochastic to deterministic transition. We also numerically estimated the strength of the noise parameter involved both in chemical Langevin equation and Master equation formalisms and found that strength of this parameter is much smaller in the former than the latter.
publisherThe American Society of Mechanical Engineers (ASME)
titleNumerical Detection of Stochastic to Deterministic Transition
typeJournal Paper
journal volume10
journal issue1
journal titleJournal of Computational and Nonlinear Dynamics
identifier doi10.1115/1.4027441
journal fristpage11001
journal lastpage11001
identifier eissn1555-1423
treeJournal of Computational and Nonlinear Dynamics:;2015:;volume( 010 ):;issue: 001
contenttypeFulltext


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