Ardhanareeswaran R Sree, Sudharsan S, Senthilvelan M, Dibakar Ghosh
We report a new mechanism through which extreme events with a dragon king-like distribution emerge in a network of locally coupled Hindmarsh-Rose bursting neurons. We establish and substantiate the fact that depending on the choice of initial conditions, the neurons in the network are divided into clusters and whenever these clusters are phase synchronized intermittently, extreme events originate in the collective observable. This mechanism, which we name as intermittent cluster synchronization is proposed as the new precursor for the generation of extreme events in this system. These results are also true for electrical diffusive coupling. The distribution of the local maxima shows long tailed non-Gaussian while the interevent interval follows the Weibull distribution. The goodness of fit are corroborated using probability-probability plot and quantile-quantile plot. These extreme events become rarer and rarer with the increase in the number of different initial conditions.
{"title":"Extreme events in locally coupled bursting neurons","authors":"Ardhanareeswaran R Sree, Sudharsan S, Senthilvelan M, Dibakar Ghosh","doi":"arxiv-2408.06805","DOIUrl":"https://doi.org/arxiv-2408.06805","url":null,"abstract":"We report a new mechanism through which extreme events with a dragon\u0000king-like distribution emerge in a network of locally coupled Hindmarsh-Rose\u0000bursting neurons. We establish and substantiate the fact that depending on the\u0000choice of initial conditions, the neurons in the network are divided into\u0000clusters and whenever these clusters are phase synchronized intermittently,\u0000extreme events originate in the collective observable. This mechanism, which we\u0000name as intermittent cluster synchronization is proposed as the new precursor\u0000for the generation of extreme events in this system. These results are also\u0000true for electrical diffusive coupling. The distribution of the local maxima\u0000shows long tailed non-Gaussian while the interevent interval follows the\u0000Weibull distribution. The goodness of fit are corroborated using\u0000probability-probability plot and quantile-quantile plot. These extreme events\u0000become rarer and rarer with the increase in the number of different initial\u0000conditions.","PeriodicalId":501167,"journal":{"name":"arXiv - PHYS - Chaotic Dynamics","volume":"27 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142222579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Matheus Rolim Sales, Michele Mugnaine, Edson Denis Leonel, Iberê L. Caldas, José Danilo Szezech Jr
An interesting feature in dissipative nonlinear systems is the emergence of characteristic domains in parameter space that exhibit periodic temporal evolution, known as shrimp-shaped domains. We investigate the parameter space of the dissipative asymmetric kicked rotor map and show that, in the regime of strong dissipation, the shrimp-shaped domains repeat themselves as the nonlinearity parameter increases while maintaining the same period. We analyze the dependence of the length of each periodic domain with the nonlinearity parameter, revealing that it follows a power law with the same exponent regardless of the dissipation parameter. Additionally, we find that the distance between adjacent shrimp-shaped domains is scaling invariant with respect to the dissipation parameter. Furthermore, we show that for weaker dissipation, a multistable scenario emerges within the periodic domains. We find that as the dissipation gets weaker, the ratio of multistable parameters for each periodic domain increases, and the area of the periodic basin decreases as the nonlinearity parameter increases.
{"title":"Shrinking shrimp-shaped domains and multistability in the dissipative asymmetric kicked rotor map","authors":"Matheus Rolim Sales, Michele Mugnaine, Edson Denis Leonel, Iberê L. Caldas, José Danilo Szezech Jr","doi":"arxiv-2408.07167","DOIUrl":"https://doi.org/arxiv-2408.07167","url":null,"abstract":"An interesting feature in dissipative nonlinear systems is the emergence of\u0000characteristic domains in parameter space that exhibit periodic temporal\u0000evolution, known as shrimp-shaped domains. We investigate the parameter space\u0000of the dissipative asymmetric kicked rotor map and show that, in the regime of\u0000strong dissipation, the shrimp-shaped domains repeat themselves as the\u0000nonlinearity parameter increases while maintaining the same period. We analyze\u0000the dependence of the length of each periodic domain with the nonlinearity\u0000parameter, revealing that it follows a power law with the same exponent\u0000regardless of the dissipation parameter. Additionally, we find that the\u0000distance between adjacent shrimp-shaped domains is scaling invariant with\u0000respect to the dissipation parameter. Furthermore, we show that for weaker\u0000dissipation, a multistable scenario emerges within the periodic domains. We\u0000find that as the dissipation gets weaker, the ratio of multistable parameters\u0000for each periodic domain increases, and the area of the periodic basin\u0000decreases as the nonlinearity parameter increases.","PeriodicalId":501167,"journal":{"name":"arXiv - PHYS - Chaotic Dynamics","volume":"40 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142222580","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Adrian S Wong, Christine M Greve, Daniel Q Eckhardt
The treatment of Hall-effect thrusters as nonlinear, dynamical systems has emerged as a new perspective to understand and analyze data acquired from the thrusters. The acquisition of high-speed data that can resolve the characteristic high-frequency oscillations of these thruster enables additional levels of classification in these thrusters. Notably, these signals may serve as unique indicators for the full state of the system that can aid digital representations of thrusters and predictions of thruster dynamics. In this work, a Reservoir Computing framework is explored to build surrogate models from experimental time-series measurements of a Hall-effect thruster. Such a framework has shown immense promise for predicting the behavior of low-dimensional yet chaotic dynamical systems. In particular, the surrogates created by the Reservoir Computing framework are capable of both predicting the observed behavior of the thruster and estimating the values of certain measurements from others, known as inference.
{"title":"Time-Resolved Data-Driven Surrogates of Hall-effect Thrusters","authors":"Adrian S Wong, Christine M Greve, Daniel Q Eckhardt","doi":"arxiv-2408.06499","DOIUrl":"https://doi.org/arxiv-2408.06499","url":null,"abstract":"The treatment of Hall-effect thrusters as nonlinear, dynamical systems has\u0000emerged as a new perspective to understand and analyze data acquired from the\u0000thrusters. The acquisition of high-speed data that can resolve the\u0000characteristic high-frequency oscillations of these thruster enables additional\u0000levels of classification in these thrusters. Notably, these signals may serve\u0000as unique indicators for the full state of the system that can aid digital\u0000representations of thrusters and predictions of thruster dynamics. In this\u0000work, a Reservoir Computing framework is explored to build surrogate models\u0000from experimental time-series measurements of a Hall-effect thruster. Such a\u0000framework has shown immense promise for predicting the behavior of\u0000low-dimensional yet chaotic dynamical systems. In particular, the surrogates\u0000created by the Reservoir Computing framework are capable of both predicting the\u0000observed behavior of the thruster and estimating the values of certain\u0000measurements from others, known as inference.","PeriodicalId":501167,"journal":{"name":"arXiv - PHYS - Chaotic Dynamics","volume":"40 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142222606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this study, given the inherent nature of dissipation in realistic dynamical systems, we explore the effects of dissipation within the context of fractional dynamics. Specifically, we consider the dissipative versions of two well known fractional maps: the Riemann-Liouville (RL) and the Caputo (C) fractional standard maps (fSMs). Both fSMs are two-dimensional nonlinear maps with memory given in action-angle variables $(I_n,theta_n)$; $n$ being the discrete iteration time of the maps. In the dissipative versions these fSMs are parameterized by the strength of nonlinearity $K$, the fractional order of the derivative $alphain(1,2]$, and the dissipation strength $gammain(0,1]$. In this work we focus on the average action $left< I_n right>$ and the average squared action $left< I_n^2 right>$ when~$Kgg1$, i.e. along strongly chaotic orbits. We first demonstrate, for $|I_0|>K$, that dissipation produces the exponential decay of the average action $left< I_n right> approx I_0exp(-gamma n)$ in both dissipative fSMs. Then, we show that while $left<