Nicolas Thomé, Matthias Wolfrum, Katharina Krischer
{"title":"Hierarchical clustering in mean-field coupled Stuart-Landau oscillators.","authors":"Nicolas Thomé, Matthias Wolfrum, Katharina Krischer","doi":"10.1063/5.0271508","DOIUrl":"https://doi.org/10.1063/5.0271508","url":null,"abstract":"<p><p>Clustered solutions in oscillator networks provide an important insight into how a system might diversify from a synchronous solution into spatiotemporal complex solutions. They can, therefore, form a link between the fully synchronized and incoherent states. Despite their fundamental role in coupled oscillator dynamics, our understanding of how these clusters form and differentiate is still quite limited. Here, we study an ensemble of globally coupled Stuart-Landau oscillators and focus on how 3-cluster solutions emerge from 2-cluster solutions and how the different 3-cluster solutions are organized in parameter space. We show that the arrangement of the clusters is dictated by a codimension-two point, which we call a Type-II cluster singularity. Furthermore, our study points to a hierarchical structure of multi-cluster solutions.</p>","PeriodicalId":9974,"journal":{"name":"Chaos","volume":"35 8","pages":""},"PeriodicalIF":3.2,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144854736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Arunava Das, Pinaki Dutta, Kamal L Panigrahi, Vishwanath Shukla
{"title":"Lyapunov spectra and fluctuation relations: Insights from the Galerkin-truncated Burgers equation.","authors":"Arunava Das, Pinaki Dutta, Kamal L Panigrahi, Vishwanath Shukla","doi":"10.1063/5.0261110","DOIUrl":"https://doi.org/10.1063/5.0261110","url":null,"abstract":"<p><p>The imposition of a global constraint of the conservation of total kinetic energy on a forced-dissipative Burgers equation yields a governing equation that is invariant under the time-reversal symmetry operation, {T:t→-t;u→-u}, where u is the velocity field. Moreover, the dissipation term gets strongly modified, as the viscosity is no longer a constant, but a fluctuating, state dependent quantity, which can even become negative in certain dynamical regimes. Despite these differences, the statistical properties of different dynamical regimes of the time-reversible Burgers equation and the standard forced-dissipative Burgers equation are equivalent, à la Gallavotti's conjecture of equivalence of nonequilibrium ensembles. It is shown that the negative viscosity events occur only in the thermalized regime described by the time-reversible equation. This regime is further examined by calculating the local Lyapunov spectra and fluctuation relations. A pairing symmetry among the spectra is observed, indicating that the dynamics is chaotic, and has an attractor spanning the entire phase space of the system. The negative events are found to satisfy fluctuation relations, namely, the Gallavotti-Cohen relation based on the phase-space contraction rate and the Cohen-Searles fluctuation relation based on the energy injection rate. The results suggest that these events are associated with the effects of the Galerkin-truncation, the latter is responsible for the thermalization.</p>","PeriodicalId":9974,"journal":{"name":"Chaos","volume":"35 8","pages":""},"PeriodicalIF":3.2,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144944874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimization of transport efficiency on bundled networks.","authors":"Zhenhua Yuan, Yuan Zhu, Long Gao, Junhao Peng","doi":"10.1063/5.0282648","DOIUrl":"https://doi.org/10.1063/5.0282648","url":null,"abstract":"<p><p>Bundled networks are important models for representing polymers and noncrystalline solids with branching structures. In this study, we consider unbiased random walks on a bundled network, which is constructed by attaching a copy of a fiber structure to each node of a base graph. We analyze the first-passage properties of this network, including the mean first-passage time, the mean trapping time, and the global-mean first-passage time (GFPT), which serve as a key measure of transport efficiency. Our findings indicate that these quantities are primarily determined by the first-passage properties on both the base and fiber. Exact formulas are derived to describe the relations between these quantities. Furthermore, we propose a general method to control the transport efficiency of bundled networks by introducing a parameter γ. Results show that for different values of γ, the GFPT of the bundled network exhibits distinct scaling behaviors. Therefore, bundled networks with specified transport efficiency can be obtained by carefully choosing the base graph, fiber structure, and parameter γ. These findings provide valuable insights into network design and optimization.</p>","PeriodicalId":9974,"journal":{"name":"Chaos","volume":"35 8","pages":""},"PeriodicalIF":3.2,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144793531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Overcoming feature scarcity in complex system prediction: An alternative delay embedding.","authors":"Tao Wu, Ying Tang, Kazuyuki Aihara","doi":"10.1063/5.0279303","DOIUrl":"10.1063/5.0279303","url":null,"abstract":"<p><p>Predicting the future dynamics of complex systems remains challenging in scientific research. Traditional methods generally approach this issue by approximating the correlations between predictors (features) and target variables, often employing predictors from a pool of target-related variables (system components). However, these approaches are inherently constrained when reliable target-related features are scarce. Here, we introduce a framework, alternative delay embedding (ADE), to effectively integrate the delay embedding technique with a machine learning algorithm based on Gaussian process regression. Rather than relying on the identification of target-related variables, ADE exploits the target's sequential information to generate reconstructions that function as robust predictors. The reliability of the ADE framework is validated across multiple benchmark model systems, e.g., the logistic map, the Mackey-Glass equation, and the Lorenz system, as well as real-world datasets spanning diverse domains, e.g., sea surface temperature, physiological signals, electroencephalography signals, and financial exchange rates. Demonstrations on short input data highlight enhanced robustness of ADE compared to several classic methods. The ADE framework serves as a useful complement to existing predictive approaches, particularly in cases where reliable target-related features are either scarce or elusive.</p>","PeriodicalId":9974,"journal":{"name":"Chaos","volume":"35 8","pages":""},"PeriodicalIF":3.2,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144882315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Christopher R Kitching, Lucía S Ramirez, Maxi San Miguel, Tobias Galla
{"title":"Breaking coexistence: Zealotry vs nonlinear social impact.","authors":"Christopher R Kitching, Lucía S Ramirez, Maxi San Miguel, Tobias Galla","doi":"10.1063/5.0282676","DOIUrl":"https://doi.org/10.1063/5.0282676","url":null,"abstract":"<p><p>We study how zealotry and nonlinear social impact affect consensus formation in the nonlinear voter model, evolutionary games, and the partisan voter model. In all three models, consensus is an absorbing state in finite populations, while coexistence is a possible outcome of the deterministic dynamics. We show that sufficiently strong zealotry, i.e., the presence of agents who never change state, can drive infinite populations to consensus in all three models. However, while evolutionary games and the partisan voter model permit zealotry-induced consensus for all values of their model parameters, the nonlinear voter model does not. Central to this difference is the shape of the social impact function, which quantifies how the influence of a group scales with size, and is, therefore, a measure of majority and minority effects. We derive general conditions relating the slope of this function at small group sizes to the local stability of consensus. Sublinear impact favors minorities and can override zealotry to prevent consensus, whereas superlinear impact promotes majorities and, therefore, facilitates consensus. We extend the analysis to finite populations, exploring the time-to-consensus, and the shape of quasi-stationary distributions.</p>","PeriodicalId":9974,"journal":{"name":"Chaos","volume":"35 8","pages":""},"PeriodicalIF":3.2,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144944860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chaoqian Wang, Wei Zhang, Xinwei Wang, Attila Szolnoki
{"title":"Inter-role reciprocity in evolutionary trust game on square lattices.","authors":"Chaoqian Wang, Wei Zhang, Xinwei Wang, Attila Szolnoki","doi":"10.1063/5.0285064","DOIUrl":"https://doi.org/10.1063/5.0285064","url":null,"abstract":"<p><p>Simulating bipartite games, such as the trust game, is not straightforward due to the lack of a natural way to distinguish roles in a single population. The square lattice topology can provide a simple yet elegant solution by alternating trustors and trustees. For even lattice sizes, it creates two disjoint diagonal sub-lattices for strategy learning, while game interactions can take place on the original lattice. This setup ensures a minimal spatial structure that allows interactions across roles and learning within roles. By simulations on this setup, we detect an inter-role spatial reciprocity mechanism, through which trust can emerge. In particular, a moderate return ratio allows investing trustors and trustworthy trustees to form inter-role clusters and thus save trust. If the return is too high, it harms the survival of trustees; if too low, it harms trustors. The proposed simulation framework is also applicable to any bipartite game to uncover potential inter-role spatial mechanisms across various scenarios.</p>","PeriodicalId":9974,"journal":{"name":"Chaos","volume":"35 8","pages":""},"PeriodicalIF":3.2,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144803718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A D Mengue, J O Nde Naoussi, A M Dikande, B Z Essimbi
{"title":"High intensity and frequency modulations based on infinite pulse trains and ultrashort pulses in a modified semiconductor laser system.","authors":"A D Mengue, J O Nde Naoussi, A M Dikande, B Z Essimbi","doi":"10.1063/5.0255044","DOIUrl":"https://doi.org/10.1063/5.0255044","url":null,"abstract":"<p><p>We report on high intensity and frequency modulations (IM-FM) through various infinite pulse trains derived from the dynamics of a modified rate equations laser system endowed with an additional control parameter (γ), wherein a direct modulation of the injection current is performed. Analytical and numerical investigations showcase the significant impact of the additional control parameter on the enhancement of the relaxation frequency and a resizing of the modulation bandwidth through a full control of the modulation peak. In this way, linear stability of the new modulated laser system is carried out around the steady-state solutions by using the small-signal analysis method, wherefrom we demonstrate that the stability of equilibria can be governed by γ-variations. A route to a new infinite-scroll vibrational attractor through FM-to-IM conversion is investigated, leading to a linear phase-and-frequency-modulated link. Both scenarios based on the propagation of asymmetric horn-shaped pulse trains lead to high FM and exhibit various amplitude-squeezed states and phase-squeezed states by varying the α-factor and the frequency detuning parameter, respectively. Intricate phenomena such as the nonlinear generation and collapsing of ultrashort pulse trains resulting from the infinite pulse trains, internal crisis appearing as a ground for the amplitude-squeezed state of light, and the modulation instability of large amplitude of laser arising from unstable fixed points are also investigated in this work.</p>","PeriodicalId":9974,"journal":{"name":"Chaos","volume":"35 8","pages":""},"PeriodicalIF":3.2,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144944853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Signal-noise separation using unsupervised reservoir computing.","authors":"Jaesung Choi, Pilwon Kim","doi":"10.1063/5.0278540","DOIUrl":"https://doi.org/10.1063/5.0278540","url":null,"abstract":"<p><p>Removing noise from a signal without knowing the characteristics of the noise is a challenging task. This paper introduces a signal-noise separation method based on time-series prediction. We use Reservoir Computing (RC) to extract the maximum portion of \"predictable information\" from a given signal. Reproducing the deterministic component of the signal using RC, we estimate the noise distribution from the difference between the original signal and the reconstructed one. The method is based on a machine-learning approach and requires no prior knowledge of either the deterministic signal or the noise distribution. It provides a way to identify additivity/multiplicativity of noise and to estimate the signal-to-noise ratio (SNR) indirectly. The method works successfully for combinations of various signals and noise, including the chaotic signal and the highly oscillating sinusoidal signal, which are corrupted by non-Gaussian additive/multiplicative noise. The separation performances are robust and notably outstanding for signals with strong noise, even for those with negative SNR.</p>","PeriodicalId":9974,"journal":{"name":"Chaos","volume":"35 8","pages":""},"PeriodicalIF":3.2,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144944828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"2D PT-symmetric nonlinear couplers: Stability and power dynamics in sinusoidal system.","authors":"Jaseera Chilappurath, Aysha Muhsina K","doi":"10.1063/5.0280866","DOIUrl":"https://doi.org/10.1063/5.0280866","url":null,"abstract":"<p><p>This work investigates the stability and power dynamics of a beam in a two-dimensional parity-time (PT)-symmetric cubic nonlinear sinusoidal coupled system under varying imaginary potentials. By analyzing eigenvalues, the phase angle indicating the mode synchronization, eigenfunctions, phase evolution, Poynting vector, and power exchange between coupled channels, we identify stability thresholds and characterize the soliton behavior in both PT-symmetric and broken PT-symmetric phases. Below the threshold potential, solitons remain stable, exhibiting periodic power oscillations and symmetric waveforms. Above the threshold, instabilities emerge, leading to asymmetric eigenfunctions, irregular amplitude fluctuations, and distorted power transfer. The transition is marked by a shift from smooth Gaussian-like waveforms to asymmetric, irregular profiles. The oscillation frequency, which dictates the energy transfer between channels, reflects the influence of the gain/loss balance on soliton dynamics. Our findings highlight the crucial role of nonlinearity, coupling strength, and imaginary potential in dictating soliton stability, providing insights into optical beam propagation and nonlinear wave control in PT-symmetric systems.</p>","PeriodicalId":9974,"journal":{"name":"Chaos","volume":"35 8","pages":""},"PeriodicalIF":3.2,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144944844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wanting Xu, Jinqian Feng, Jin Su, Qin Guo, Youpan Han
{"title":"Adaptive normalizing flows for solving Fokker-Planck equation.","authors":"Wanting Xu, Jinqian Feng, Jin Su, Qin Guo, Youpan Han","doi":"10.1063/5.0273776","DOIUrl":"https://doi.org/10.1063/5.0273776","url":null,"abstract":"<p><p>The Fokker-Planck (FP) equation governs the probabilistic response of diffusion processes driven by stochastic differential equations (SDEs). Gaussian mixture models and deep learning solvers are two state-of-the-art methods for solving the FP equation. Although mixture models mostly depend on empirical sampling strategies and predefined Gaussian components, deep learning techniques suffer from inherent interpretability deficits and require excessively large training samples. To address these challenges, we propose an adaptive normalizing flow framework for solving FP equations (ANFFP). Normalizing flows are generative models that produce tractable distributions to approximate the complex target distributions. The ANFFP architecture inherently preserves probabilistic interpretability while enabling efficient exact sampling advantages that significantly enhance its applicability to probabilistic response modeling under small sample conditions. Numerical examples involving one-dimensional, two-dimensional, and four-dimensional SDEs demonstrate the effectiveness of the method. In addition, the computational complexity of the ANFFP method is discussed in more detail. This work provides a new paradigm for solving high-dimensional FP equations with theoretical guarantees and practical scalability.</p>","PeriodicalId":9974,"journal":{"name":"Chaos","volume":"35 8","pages":""},"PeriodicalIF":3.2,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144803716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}