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released 2020-02-24</a>&nbsp;&nbsp;</span> </div> </div> <div class="content"> <form method="GET" action="/search/nlin" aria-role="search"> Searching in archive <strong>nlin</strong>. <a href="/search/?searchtype=author&amp;query=Su%2C+W">Search in all archives.</a> <div class="field has-addons-tablet"> <div class="control is-expanded"> <label for="query" class="hidden-label">Search term or terms</label> <input class="input is-medium" id="query" name="query" placeholder="Search term..." type="text" value="Su, W"> </div> <div class="select control is-medium"> <label class="is-hidden" for="searchtype">Field</label> <select class="is-medium" id="searchtype" name="searchtype"><option value="all">All fields</option><option value="title">Title</option><option selected value="author">Author(s)</option><option value="abstract">Abstract</option><option value="comments">Comments</option><option value="journal_ref">Journal reference</option><option value="acm_class">ACM 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href="/search/advanced?terms-0-term=Su%2C+W&amp;terms-0-field=author&amp;size=50&amp;order=-announced_date_first">Advanced Search</a> </div> </div> <input type="hidden" name="order" value="-announced_date_first"> <input type="hidden" name="size" value="50"> </form> <div class="level breathe-horizontal"> <div class="level-left"> <form method="GET" action="/search/"> <div style="display: none;"> <select id="searchtype" name="searchtype"><option value="all">All fields</option><option value="title">Title</option><option selected value="author">Author(s)</option><option value="abstract">Abstract</option><option value="comments">Comments</option><option value="journal_ref">Journal reference</option><option value="acm_class">ACM classification</option><option value="msc_class">MSC classification</option><option value="report_num">Report number</option><option value="paper_id">arXiv identifier</option><option value="doi">DOI</option><option value="orcid">ORCID</option><option value="license">License (URI)</option><option value="author_id">arXiv author ID</option><option value="help">Help pages</option><option value="full_text">Full text</option></select> <input id="query" name="query" type="text" value="Su, W"> <ul id="abstracts"><li><input checked id="abstracts-0" name="abstracts" type="radio" value="show"> <label for="abstracts-0">Show abstracts</label></li><li><input id="abstracts-1" name="abstracts" type="radio" value="hide"> <label for="abstracts-1">Hide abstracts</label></li></ul> </div> <div class="box field is-grouped is-grouped-multiline level-item"> <div class="control"> <span class="select is-small"> <select id="size" name="size"><option value="25">25</option><option selected value="50">50</option><option value="100">100</option><option value="200">200</option></select> </span> <label for="size">results per page</label>. </div> <div class="control"> <label for="order">Sort results by</label> <span class="select is-small"> <select id="order" name="order"><option selected value="-announced_date_first">Announcement date (newest first)</option><option value="announced_date_first">Announcement date (oldest first)</option><option value="-submitted_date">Submission date (newest first)</option><option value="submitted_date">Submission date (oldest first)</option><option value="">Relevance</option></select> </span> </div> <div class="control"> <button class="button is-small is-link">Go</button> </div> </div> </form> </div> </div> <ol class="breathe-horizontal" start="1"> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2503.13244">arXiv:2503.13244</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2503.13244">pdf</a>, <a href="https://arxiv.org/format/2503.13244">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Chaotic Dynamics">nlin.CD</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Data Analysis, Statistics and Probability">physics.data-an</span> </div> </div> <p class="title is-5 mathjax"> Pairwise vs Higher-order interactions: Can we identify the interaction type in coupled oscillators from time series? </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/nlin?searchtype=author&amp;query=Su%2C+W">Weiwei Su</a>, <a href="/search/nlin?searchtype=author&amp;query=Hata%2C+S">Shigefumi Hata</a>, <a href="/search/nlin?searchtype=author&amp;query=Kori%2C+H">Hiroshi Kori</a>, <a href="/search/nlin?searchtype=author&amp;query=Nakao%2C+H">Hiroya Nakao</a>, <a href="/search/nlin?searchtype=author&amp;query=Kobayashi%2C+R">Ryota Kobayashi</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2503.13244v1-abstract-short" style="display: inline;"> Rhythmic phenomena, which are ubiquitous in biological systems, are typically modelled as systems of coupled limit cycle oscillators. Recently, there has been an increased interest in understanding the impact of higher-order interactions on the population dynamics of coupled oscillators. Meanwhile, estimating a mathematical model from experimental data is a vital step in understanding the dynamics&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2503.13244v1-abstract-full').style.display = 'inline'; document.getElementById('2503.13244v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2503.13244v1-abstract-full" style="display: none;"> Rhythmic phenomena, which are ubiquitous in biological systems, are typically modelled as systems of coupled limit cycle oscillators. Recently, there has been an increased interest in understanding the impact of higher-order interactions on the population dynamics of coupled oscillators. Meanwhile, estimating a mathematical model from experimental data is a vital step in understanding the dynamics of real-world complex systems. In coupled oscillator systems, identifying the type of interaction (e.g. pairwise or three-body) of a network is challenging, because different interactions can induce similar dynamical states and bifurcations. In this study, we have developed a method based on the adaptive LASSO (Least Absolute Shrinkage and Selection Operator) to infer the interactions between the oscillators from time series data. The proposed method can successfully classify the type of interaction and infer the probabilities of the existence of pairwise and three-body couplings. Through systematic analysis of synthetic datasets, we have demonstrated that our method outperforms two baseline methods, LASSO and OLS (Ordinary Least Squares), in accurately inferring the topology and strength of couplings between oscillators. Finally, we demonstrate the effectiveness of the proposed method by applying it to the synthetic data of 100 oscillators. These results imply that the proposed method is promising for identifying interactions from rhythmic activities in real-world systems. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2503.13244v1-abstract-full').style.display = 'none'; document.getElementById('2503.13244v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 17 March, 2025; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> March 2025. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">16 pages, 6 figures</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2502.13993">arXiv:2502.13993</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2502.13993">pdf</a>, <a href="https://arxiv.org/ps/2502.13993">ps</a>, <a href="https://arxiv.org/format/2502.13993">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Mathematical Physics">math-ph</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Dynamical Systems">math.DS</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Optimization and Control">math.OC</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Adaptation and Self-Organizing Systems">nlin.AO</span> </div> </div> <p class="title is-5 mathjax"> Noise-driven Synchronization of Vicsek Model in Mean </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/nlin?searchtype=author&amp;query=Su%2C+W">Wei Su</a>, <a href="/search/nlin?searchtype=author&amp;query=Yu%2C+Y">Yongguang Yu</a>, <a href="/search/nlin?searchtype=author&amp;query=Chen%2C+G">Ge Chen</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2502.13993v2-abstract-short" style="display: inline;"> The Vicsek model has long stood as a pivotal framework in exploring collective behavior and self-organization, captivating the scientific community with its compelling dynamics. However, understanding how noise influences synchronization within this model and its associated phase transition characteristics has presented significant challenges. While numerous studies have focused on simulations due&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2502.13993v2-abstract-full').style.display = 'inline'; document.getElementById('2502.13993v2-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2502.13993v2-abstract-full" style="display: none;"> The Vicsek model has long stood as a pivotal framework in exploring collective behavior and self-organization, captivating the scientific community with its compelling dynamics. However, understanding how noise influences synchronization within this model and its associated phase transition characteristics has presented significant challenges. While numerous studies have focused on simulations due to the model&#39;s mathematical complexity, comprehensive theoretical analyses remain sparse. In this paper, we deliver a rigorous mathematical proof demonstrating that for any initial configuration of the Vicsek model, there exists a bound on noise amplitude such that if the noise amplitude is maintained within this bound, the system will achieve synchronization in mean. This finding not only lays a solid mathematical groundwork for the Vicsek model&#39;s phase transition theory but also underscores the critical role of noise in collective dynamics, enhancing our understanding of self-organizing systems in stochastic environments. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2502.13993v2-abstract-full').style.display = 'none'; document.getElementById('2502.13993v2-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 6 March, 2025; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 19 February, 2025; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> February 2025. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2304.10082">arXiv:2304.10082</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2304.10082">pdf</a>, <a href="https://arxiv.org/ps/2304.10082">ps</a>, <a href="https://arxiv.org/format/2304.10082">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Fluid Dynamics">physics.flu-dyn</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Pattern Formation and Solitons">nlin.PS</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.7566/JPSJ.92.124003">10.7566/JPSJ.92.124003 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> Transportation efficiency of hydrodynamically coupled spherical oscillators in low Reynolds number fluids </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/nlin?searchtype=author&amp;query=Su%2C+W">Weiwei Su</a>, <a href="/search/nlin?searchtype=author&amp;query=Izumida%2C+Y">Yuki Izumida</a>, <a href="/search/nlin?searchtype=author&amp;query=Kori%2C+H">Hiroshi Kori</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2304.10082v1-abstract-short" style="display: inline;"> Most bacteria are driven by the cilia or flagella, consisting of a long filament and a rotary molecular motor through a short flexible hook. The beating pattern of these filaments shows synchronization properties from hydrodynamic interactions, especially in low Reynolds number fluids. Here, we introduce a model based on simple spherical oscillators which execute oscillatory movements in one dimen&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2304.10082v1-abstract-full').style.display = 'inline'; document.getElementById('2304.10082v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2304.10082v1-abstract-full" style="display: none;"> Most bacteria are driven by the cilia or flagella, consisting of a long filament and a rotary molecular motor through a short flexible hook. The beating pattern of these filaments shows synchronization properties from hydrodynamic interactions, especially in low Reynolds number fluids. Here, we introduce a model based on simple spherical oscillators which execute oscillatory movements in one dimension by an active force, as a simplified imitation of the movements of cilia or flagella. It is demonstrated that the flow, measured by the net transportation of a test particle, is generated by a chain of oscillators and enhanced by the hydrodynamic interactions between beads, with supports from both perturbative and numerical results. Transportation efficiency also highly correlates with hydrodynamic interactions. Increments of bead numbers are generally expected to produce stronger flow and efficiency, at least for small numbers of beads. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2304.10082v1-abstract-full').style.display = 'none'; document.getElementById('2304.10082v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 20 April, 2023; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> April 2023. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">8 pages, 11 figures</span> </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Journal ref:</span> J. Phys. Soc. Jpn. 92, 124003 (2023) </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2208.10266">arXiv:2208.10266</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2208.10266">pdf</a>, <a href="https://arxiv.org/ps/2208.10266">ps</a>, <a href="https://arxiv.org/format/2208.10266">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Adaptation and Self-Organizing Systems">nlin.AO</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Artificial Intelligence">cs.AI</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Multiagent Systems">cs.MA</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Biological Physics">physics.bio-ph</span> </div> </div> <p class="title is-5 mathjax"> An Entropy-based Measure of Intelligence Degree of System Structures </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/nlin?searchtype=author&amp;query=Su%2C+W">Wei Su</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2208.10266v1-abstract-short" style="display: inline;"> In this paper, we investigate how to measure the intelligence of systems under specific structures. Two indicators are adopted to characterize the intelligence of a given structure, namely the function diversity of the structure, and the ability to generate order under specific environments. A measure of intelligence degree is proposed, with which the intelligence degree of several basic structure&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2208.10266v1-abstract-full').style.display = 'inline'; document.getElementById('2208.10266v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2208.10266v1-abstract-full" style="display: none;"> In this paper, we investigate how to measure the intelligence of systems under specific structures. Two indicators are adopted to characterize the intelligence of a given structure, namely the function diversity of the structure, and the ability to generate order under specific environments. A measure of intelligence degree is proposed, with which the intelligence degree of several basic structures is calculated. It is shown that some structures are indeed &#34;smarter&#34; than the others under the proposed measure. The results add a possible way of revealing the evolution mechanism of natural life and constructing life-like structures with high intelligence degree. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2208.10266v1-abstract-full').style.display = 'none'; document.getElementById('2208.10266v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 22 August, 2022; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> August 2022. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2009.01455">arXiv:2009.01455</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2009.01455">pdf</a>, <a href="https://arxiv.org/ps/2009.01455">ps</a>, <a href="https://arxiv.org/format/2009.01455">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Multiagent Systems">cs.MA</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Social and Information Networks">cs.SI</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Optimization and Control">math.OC</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Adaptation and Self-Organizing Systems">nlin.AO</span> </div> </div> <p class="title is-5 mathjax"> Quasi-synchronization of bounded confidence opinion dynamics with stochastic asynchronous rule </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/nlin?searchtype=author&amp;query=Su%2C+W">Wei Su</a>, <a href="/search/nlin?searchtype=author&amp;query=Wang%2C+X">Xueqiao Wang</a>, <a href="/search/nlin?searchtype=author&amp;query=Chen%2C+G">Ge Chen</a>, <a href="/search/nlin?searchtype=author&amp;query=Shen%2C+K">Kai Shen</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2009.01455v1-abstract-short" style="display: inline;"> Recently the theory of noise-induced synchronization of Hegselmann-Krause (HK) dynamics has been well developed. As a typical opinion dynamics of bounded confidence, the HK model obeys a synchronous updating rule, i.e., \emph{all} agents check and update their opinions at each time point. However, whether asynchronous bounded confidence models, including the famous Deffuant-Weisbuch (DW) model, ca&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2009.01455v1-abstract-full').style.display = 'inline'; document.getElementById('2009.01455v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2009.01455v1-abstract-full" style="display: none;"> Recently the theory of noise-induced synchronization of Hegselmann-Krause (HK) dynamics has been well developed. As a typical opinion dynamics of bounded confidence, the HK model obeys a synchronous updating rule, i.e., \emph{all} agents check and update their opinions at each time point. However, whether asynchronous bounded confidence models, including the famous Deffuant-Weisbuch (DW) model, can be synchronized by noise have not been theoretically proved. In this paper, we propose a generalized bounded confidence model which possesses a stochastic asynchronous rule. The model takes the DW model and the HK model as special cases and can significantly generalize the bounded confidence models to practical application. We discover that the asynchronous model possesses a different noise-based synchronization behavior compared to the synchronous HK model. Generally, the HK dynamics can achieve quasi-synchronization \emph{almost surely} under the drive of noise. For the asynchronous dynamics, we prove that the model can achieve quasi-synchronization \emph{in mean}, which is a new type of quasi-synchronization weaker than the &#34;almost surely&#34; sense. The results unify the theory of noise-induced synchronization of bounded confidence opinion dynamics and hence proves the noise-induced synchronization of DW model theoretically for the first time. Moreover, the results provide a theoretical foundation for developing noise-based control strategy of more complex social opinion systems with stochastic asynchronous rules. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2009.01455v1-abstract-full').style.display = 'none'; document.getElementById('2009.01455v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 3 September, 2020; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> September 2020. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">This paper is a full version of the one which has been accepted for publication by the journal SCIS</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/1810.03284">arXiv:1810.03284</a> <span>&nbsp;&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Systems and Control">eess.SY</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Multiagent Systems">cs.MA</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Social and Information Networks">cs.SI</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Optimization and Control">math.OC</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Adaptation and Self-Organizing Systems">nlin.AO</span> </div> </div> <p class="title is-5 mathjax"> Noise-synchronizability of opinion dynamics </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/nlin?searchtype=author&amp;query=Su%2C+W">Wei Su</a>, <a href="/search/nlin?searchtype=author&amp;query=Chen%2C+G">Ge Chen</a>, <a href="/search/nlin?searchtype=author&amp;query=Yu%2C+Y">Yongguang Yu</a>, <a href="/search/nlin?searchtype=author&amp;query=Wang%2C+X">Xueqiao Wang</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="1810.03284v2-abstract-short" style="display: inline;"> With the analysis of noise-induced synchronization of opinion dynamics with bounded confidence (BC), a natural and fundamental question is what opinion structures can be synchronized by noise. In the traditional Hegselmann-Krause (HK) model, each agent examines the opinion values of all the other ones and then choose neighbors to update its own opinion according to the BC scheme. In reality, peopl&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1810.03284v2-abstract-full').style.display = 'inline'; document.getElementById('1810.03284v2-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="1810.03284v2-abstract-full" style="display: none;"> With the analysis of noise-induced synchronization of opinion dynamics with bounded confidence (BC), a natural and fundamental question is what opinion structures can be synchronized by noise. In the traditional Hegselmann-Krause (HK) model, each agent examines the opinion values of all the other ones and then choose neighbors to update its own opinion according to the BC scheme. In reality, people are more likely to interchange opinions with only some individuals, resulting in a predetermined local discourse relationship as introduced by the DeGroot model. In this paper, we consider an opinion dynamics that combines the schemes of BC and local discourse topology and investigate its synchronization induced by noise. The new model endows the heterogeneous HK model with a time-varying discourse topology. With the proposed definition of noise-synchronizability, it is shown that the compound noisy model is almost surely noise-synchronizable if and only if the time-varying discourse graph is uniformly jointly connected, taking the noise-induced synchronization of the classical heterogeneous HK model as a special case. As a natural implication, the result for the first time builds the equivalence between the connectivity of discourse graph and the beneficial effect of noise for opinion consensus. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1810.03284v2-abstract-full').style.display = 'none'; document.getElementById('1810.03284v2-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 8 October, 2018; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 8 October, 2018; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> October 2018. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">We need to make a substantial revision about this paper. Will submit it again two monthes later</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/1806.03781">arXiv:1806.03781</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/1806.03781">pdf</a>, <a href="https://arxiv.org/ps/1806.03781">ps</a>, <a href="https://arxiv.org/format/1806.03781">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Physics and Society">physics.soc-ph</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Multiagent Systems">cs.MA</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Social and Information Networks">cs.SI</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Systems and Control">eess.SY</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Optimization and Control">math.OC</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Adaptation and Self-Organizing Systems">nlin.AO</span> </div> </div> <p class="title is-5 mathjax"> Noise-based control of opinion dynamics </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/nlin?searchtype=author&amp;query=Su%2C+W">Wei Su</a>, <a href="/search/nlin?searchtype=author&amp;query=Chen%2C+X">Xianzhong Chen</a>, <a href="/search/nlin?searchtype=author&amp;query=Yu%2C+Y">Yongguang Yu</a>, <a href="/search/nlin?searchtype=author&amp;query=Chen%2C+G">Ge Chen</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="1806.03781v3-abstract-short" style="display: inline;"> Designing feasible control strategies for opinion dynamics in complex social systems has never been an easy task. It requires a control protocol which 1) is not enforced on all individuals in the society, and 2) does not exclusively rely on specific opinion values shared by the social system. Thanks to the recent studies on noise-induced consensus in opinion dynamics, the noise-based intervention&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1806.03781v3-abstract-full').style.display = 'inline'; document.getElementById('1806.03781v3-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="1806.03781v3-abstract-full" style="display: none;"> Designing feasible control strategies for opinion dynamics in complex social systems has never been an easy task. It requires a control protocol which 1) is not enforced on all individuals in the society, and 2) does not exclusively rely on specific opinion values shared by the social system. Thanks to the recent studies on noise-induced consensus in opinion dynamics, the noise-based intervention strategy has emerged as the only one meeting both of the above requirements, yet its underlying general theory is still lacking. In this paper, we perform rigorous theoretical analysis and simulations of a noise-based control strategy for opinion formation in which only a fraction of individuals is affected by randomly generated noise. We found that irrespective of the number of noise-driven individuals, including the case of only one single noise-affected individual, the system can attain a quasi-consensus in finite time, and the critical noise strength can be obtained. Our results highlight the efficiency of noise-driven mechanisms for the control of complex social dynamics. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1806.03781v3-abstract-full').style.display = 'none'; document.getElementById('1806.03781v3-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 26 February, 2019; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 10 June, 2018; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> June 2018. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">arXiv admin note: text overlap with arXiv:1711.01432</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/1712.04277">arXiv:1712.04277</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/1712.04277">pdf</a>, <a href="https://arxiv.org/ps/1712.04277">ps</a>, <a href="https://arxiv.org/format/1712.04277">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Optimization and Control">math.OC</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Multiagent Systems">cs.MA</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Social and Information Networks">cs.SI</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Adaptation and Self-Organizing Systems">nlin.AO</span> </div> </div> <p class="title is-5 mathjax"> Robust Fragmentation Modeling of Hegselmann-Krause-Type Dynamics </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/nlin?searchtype=author&amp;query=Su%2C+W">Wei Su</a>, <a href="/search/nlin?searchtype=author&amp;query=Guo%2C+J">Jin Guo</a>, <a href="/search/nlin?searchtype=author&amp;query=Chen%2C+X">Xianzhong Chen</a>, <a href="/search/nlin?searchtype=author&amp;query=Chen%2C+G">Ge Chen</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="1712.04277v1-abstract-short" style="display: inline;"> In opinion dynamics, how to model the enduring fragmentation phenomenon (disagreement, cleavage, and polarization) of social opinions has long possessed a central position. It is widely known that the confidence-based opinion dynamics provide an acceptant mechanism to produce fragmentation phenomenon. In this study, taking the famous confidence-based Hegselmann-Krause (HK) model, we examine the ro&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1712.04277v1-abstract-full').style.display = 'inline'; document.getElementById('1712.04277v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="1712.04277v1-abstract-full" style="display: none;"> In opinion dynamics, how to model the enduring fragmentation phenomenon (disagreement, cleavage, and polarization) of social opinions has long possessed a central position. It is widely known that the confidence-based opinion dynamics provide an acceptant mechanism to produce fragmentation phenomenon. In this study, taking the famous confidence-based Hegselmann-Krause (HK) model, we examine the robustness of the fragmentation coming from HK dynamics and its variations with prejudiced and stubborn agents against random noise. Prior to possible insightful explanations, the theoretical results in this paper explicitly reveal that the well-appearing fragmentation of HK dynamics and its homogeneous variations finally vanishes in the presence of arbitrarily tiny noise, while only the HK model with heterogenous prejudices displays a solid cleavage in noisy environment. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1712.04277v1-abstract-full').style.display = 'none'; document.getElementById('1712.04277v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 12 December, 2017; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> December 2017. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/1711.01432">arXiv:1711.01432</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/1711.01432">pdf</a>, <a href="https://arxiv.org/ps/1711.01432">ps</a>, <a href="https://arxiv.org/format/1711.01432">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Adaptation and Self-Organizing Systems">nlin.AO</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Multiagent Systems">cs.MA</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Social and Information Networks">cs.SI</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Optimization and Control">math.OC</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Cellular Automata and Lattice Gases">nlin.CG</span> </div> </div> <p class="title is-5 mathjax"> Noise-induced synchronization of Hegselmann-Krause dynamics in full space </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/nlin?searchtype=author&amp;query=Su%2C+W">Wei Su</a>, <a href="/search/nlin?searchtype=author&amp;query=Guo%2C+J">Jin Guo</a>, <a href="/search/nlin?searchtype=author&amp;query=Chen%2C+X">Xianzhong Chen</a>, <a href="/search/nlin?searchtype=author&amp;query=Chen%2C+G">Ge Chen</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="1711.01432v2-abstract-short" style="display: inline;"> The Hegselmann-Krause (HK) model is a typical self-organizing system with local rule dynamics. In spite of its widespread use and numerous extensions, the underlying theory of its synchronization induced by noise still needs to be developed. In its original formulation, as a model first proposed to address opinion dynamics, its state-space was assumed to be bounded, and the theoretical analysis of&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1711.01432v2-abstract-full').style.display = 'inline'; document.getElementById('1711.01432v2-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="1711.01432v2-abstract-full" style="display: none;"> The Hegselmann-Krause (HK) model is a typical self-organizing system with local rule dynamics. In spite of its widespread use and numerous extensions, the underlying theory of its synchronization induced by noise still needs to be developed. In its original formulation, as a model first proposed to address opinion dynamics, its state-space was assumed to be bounded, and the theoretical analysis of noise-induced synchronization for this particular situation has been well established. However, when system states are allowed to exist in an unbounded space, mathematical difficulties arise whose theoretical analysis becomes non-trivial and is as such still lacking. In this paper, we completely resolve this problem by exploring the topological properties of HK dynamics and by employing the theory of independent stopping time. The associated result in full statespace provides a solid interpretation of the randomness-induced synchronization of self-organizing systems <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1711.01432v2-abstract-full').style.display = 'none'; document.getElementById('1711.01432v2-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 26 February, 2019; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 4 November, 2017; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> November 2017. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/1702.07637">arXiv:1702.07637</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/1702.07637">pdf</a>, <a href="https://arxiv.org/ps/1702.07637">ps</a>, <a href="https://arxiv.org/format/1702.07637">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Optimization and Control">math.OC</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Information Theory">cs.IT</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Social and Information Networks">cs.SI</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Adaptation and Self-Organizing Systems">nlin.AO</span> </div> </div> <p class="title is-5 mathjax"> Free Information Flow Benefits Truth Seeking </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/nlin?searchtype=author&amp;query=Su%2C+W">Wei Su</a>, <a href="/search/nlin?searchtype=author&amp;query=Yu%2C+Y">Yongguang Yu</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="1702.07637v1-abstract-short" style="display: inline;"> How can we approach the truth in a society? It may depend on various factors. In this paper, using a well-established truth seeking model, we show that the persistent free information flow will bring us to the truth. Here the free information flow is modeled as the environmental random noise that could alter one&#39;s cognition. Without the random noise, the model predicts that the truth can only be c&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1702.07637v1-abstract-full').style.display = 'inline'; document.getElementById('1702.07637v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="1702.07637v1-abstract-full" style="display: none;"> How can we approach the truth in a society? It may depend on various factors. In this paper, using a well-established truth seeking model, we show that the persistent free information flow will bring us to the truth. Here the free information flow is modeled as the environmental random noise that could alter one&#39;s cognition. Without the random noise, the model predicts that the truth can only be captured by the truth seekers who own active perceptive ability of the truth and their believers, while the other individuals may stick to falsehood. But under the influence of the random noise, we strictly prove that even there is only one truth seeker in the group, all individuals will finally approach the truth. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1702.07637v1-abstract-full').style.display = 'none'; document.getElementById('1702.07637v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 22 February, 2017; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> February 2017. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/1611.01732">arXiv:1611.01732</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/1611.01732">pdf</a>, <a href="https://arxiv.org/ps/1611.01732">ps</a>, <a href="https://arxiv.org/format/1611.01732">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Optimization and Control">math.OC</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Information Theory">cs.IT</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Social and Information Networks">cs.SI</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Adaptation and Self-Organizing Systems">nlin.AO</span> </div> </div> <p class="title is-5 mathjax"> Finite-Time Elimination of Disagreement of Opinion Dynamics via Covert Noise </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/nlin?searchtype=author&amp;query=Su%2C+W">Wei Su</a>, <a href="/search/nlin?searchtype=author&amp;query=Chen%2C+G">Ge Chen</a>, <a href="/search/nlin?searchtype=author&amp;query=Yu%2C+Y">Yongguang Yu</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="1611.01732v3-abstract-short" style="display: inline;"> Eliminating disagreement in a group is usually beneficial to the social stability. In this paper, using the well-known Hegselmann-Krause (HK) model, we design a quite simple strategy that could resolve the opinion difference of the system in finite time and induce the opinions synchronized to a targeted value. To be specific, we intentionally introduce weak random noise to only one agent to affect&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1611.01732v3-abstract-full').style.display = 'inline'; document.getElementById('1611.01732v3-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="1611.01732v3-abstract-full" style="display: none;"> Eliminating disagreement in a group is usually beneficial to the social stability. In this paper, using the well-known Hegselmann-Krause (HK) model, we design a quite simple strategy that could resolve the opinion difference of the system in finite time and induce the opinions synchronized to a targeted value. To be specific, we intentionally introduce weak random noise to only one agent to affect its opinion in the evolution and also a leader agent with fixed opinion in a divisive group, then strictly prove that the disagreement is finally eliminated and the opinions get synchronized to the leader&#39;s opinion in finite time. Other than that, we calculate the finite stopping time when the opinions synchronously reach the objective opinion value, which could provide further guide for designing more efficient noise intervention strategy. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1611.01732v3-abstract-full').style.display = 'none'; document.getElementById('1611.01732v3-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 6 December, 2016; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 6 November, 2016; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> November 2016. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/1603.08099">arXiv:1603.08099</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/1603.08099">pdf</a>, <a href="https://arxiv.org/ps/1603.08099">ps</a>, <a href="https://arxiv.org/format/1603.08099">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Optimization and Control">math.OC</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Adaptation and Self-Organizing Systems">nlin.AO</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.1007/s11431-016-0615-x">10.1007/s11431-016-0615-x <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> Partial Convergence of Heterogeneous Hegselmann-Krause Opinion Dynamics </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/nlin?searchtype=author&amp;query=Su%2C+W">Wei Su</a>, <a href="/search/nlin?searchtype=author&amp;query=Yu%2C+Y">Yongguang Yu</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="1603.08099v1-abstract-short" style="display: inline;"> In opinion dynamics, the convergence of the heterogeneous Hegselmann-Krause (HK) dynamics has always been an open problem for years which looks forward to any essential progress. In this short note, we prove a partial convergence conclusion of the general heterogeneous HK dynamis. That is, there must be some agents who will reach static states in finite time, while the other opinions have to evolv&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1603.08099v1-abstract-full').style.display = 'inline'; document.getElementById('1603.08099v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="1603.08099v1-abstract-full" style="display: none;"> In opinion dynamics, the convergence of the heterogeneous Hegselmann-Krause (HK) dynamics has always been an open problem for years which looks forward to any essential progress. In this short note, we prove a partial convergence conclusion of the general heterogeneous HK dynamis. That is, there must be some agents who will reach static states in finite time, while the other opinions have to evolve between them with a minimum distance if all the opinions does not reach consensus. And this result leads to the convergence of two special case of heterogeneous HK dynamics: the minimum confidence threshold is large enough, or the initial opinion difference is small enough. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1603.08099v1-abstract-full').style.display = 'none'; document.getElementById('1603.08099v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 26 March, 2016; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> March 2016. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">6pages,no figure</span> </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Journal ref:</span> Science China Technological Sciences, 2017, 60 </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/nlin/0112018">arXiv:nlin/0112018</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/nlin/0112018">pdf</a>, <a href="https://arxiv.org/ps/nlin/0112018">ps</a>, <a href="https://arxiv.org/format/nlin/0112018">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Chaotic Dynamics">nlin.CD</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.1103/PhysRevE.65.066303">10.1103/PhysRevE.65.066303 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> Extended Self-Similarity and Hierarchical Structure in Turbulence </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/nlin?searchtype=author&amp;query=Ching%2C+E+S+C">Emily S. C. Ching</a>, <a href="/search/nlin?searchtype=author&amp;query=She%2C+Z">Zhen-Su She</a>, <a href="/search/nlin?searchtype=author&amp;query=Su%2C+W">Weidong Su</a>, <a href="/search/nlin?searchtype=author&amp;query=Zou%2C+Z">Zhengping Zou</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="nlin/0112018v1-abstract-short" style="display: inline;"> It is shown that the two remarkable properties of turbulence, the Extended Self-Similarity (ESS) [R. Benzi {\it et al.}, Phy. Rev. E {\bf 48}, R29, (1993)] and the She-Leveque Hierarchical Structure (SLHS) [Z.S. She and E. Leveque, Phy. Rev. Lett. {\bf 72}, 336, (1994)] are related to each other. In particular, we have shown that a generalized hierarchical structure together with the most intens&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('nlin/0112018v1-abstract-full').style.display = 'inline'; document.getElementById('nlin/0112018v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="nlin/0112018v1-abstract-full" style="display: none;"> It is shown that the two remarkable properties of turbulence, the Extended Self-Similarity (ESS) [R. Benzi {\it et al.}, Phy. Rev. E {\bf 48}, R29, (1993)] and the She-Leveque Hierarchical Structure (SLHS) [Z.S. She and E. Leveque, Phy. Rev. Lett. {\bf 72}, 336, (1994)] are related to each other. In particular, we have shown that a generalized hierarchical structure together with the most intense structures being shock-like give rise to ESS. Our analysis thus suggests that the ESS measured in turbulent flows is an indication of the shock-like intense structures. Results of analysis of velocity measurements in a pipe-flow turbulence support our conjecture. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('nlin/0112018v1-abstract-full').style.display = 'none'; document.getElementById('nlin/0112018v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 11 December, 2001; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> December 2001. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">4 pages, 2 figures, submitted to Physical Review Letters</span> </p> </li> </ol> <div class="is-hidden-tablet"> <!-- feedback for mobile only --> <span class="help" style="display: inline-block;"><a href="https://github.com/arXiv/arxiv-search/releases">Search v0.5.6 released 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