Onset of Synchronization in Complex Networks of Noisy Oscillators
We study networks of noisy phase oscillators whose nodes are characterized by a random degree counting the number of its connections. Both these degrees and the natural frequencies of the oscillators are distributed according to a given probability density. Replacing the randomly connected network b...
Gespeichert in:
Veröffentlicht in: | arXiv.org 2012-05 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | |
container_start_page | |
container_title | arXiv.org |
container_volume | |
creator | Sonnenschein, Bernard Schimansky-Geier, Lutz |
description | We study networks of noisy phase oscillators whose nodes are characterized by a random degree counting the number of its connections. Both these degrees and the natural frequencies of the oscillators are distributed according to a given probability density. Replacing the randomly connected network by an all-to-all coupled network with weighted edges, allows us to formulate the dynamics of a single oscillator coupled to the mean field and to derive the corresponding Fokker-Planck equation. From the latter we calculate the critical coupling strength for the onset of synchronization as a function of the noise intensity, the frequency distribution and the first two moments of the degree distribution. Our approach is applied to a dense small-world network model, for which we calculate the degree distribution. Numerical simulations prove the validity of the made replacement. We also test the applicability to more sparsely connected networks and formulate homogeneity and absence of correlations in the degree distribution as limiting factors of our approach. |
doi_str_mv | 10.48550/arxiv.1112.5503 |
format | Article |
fullrecord | <record><control><sourceid>proquest_arxiv</sourceid><recordid>TN_cdi_arxiv_primary_1112_5503</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2086566829</sourcerecordid><originalsourceid>FETCH-LOGICAL-a519-bbe17ec8f1951985b0b751d7aca8ab1154f4264d0a1da14c598b5f010bcf14b93</originalsourceid><addsrcrecordid>eNotj81LwzAchoMgOObunqTguTW_fLTpcRQ_BmM9uHtJ0hQzu6Ymna7-9bbO08sLDy_vg9Ad4IQJzvGj9Gf7lQAASaZKr9CCUAqxYITcoFUIB4wxSTPCOV2gddkFM0Suid7GTr9719kfOVjXRbaLCnfsW3OOdmb4dv4jzNjO2TBGZdC2beXgfLhF141sg1n95xLtn5_2xWu8LV82xXobSw55rJSBzGjRQD5VwRVWGYc6k1oKqQA4axhJWY0l1BKY5rlQvMGAlW6AqZwu0f1l9k-v6r09Sj9Ws2Y1a07AwwXovfs8mTBUB3fy3XSpIlikPE0FyekvFsJVMw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2086566829</pqid></control><display><type>article</type><title>Onset of Synchronization in Complex Networks of Noisy Oscillators</title><source>arXiv.org</source><source>Free E- Journals</source><creator>Sonnenschein, Bernard ; Schimansky-Geier, Lutz</creator><creatorcontrib>Sonnenschein, Bernard ; Schimansky-Geier, Lutz</creatorcontrib><description>We study networks of noisy phase oscillators whose nodes are characterized by a random degree counting the number of its connections. Both these degrees and the natural frequencies of the oscillators are distributed according to a given probability density. Replacing the randomly connected network by an all-to-all coupled network with weighted edges, allows us to formulate the dynamics of a single oscillator coupled to the mean field and to derive the corresponding Fokker-Planck equation. From the latter we calculate the critical coupling strength for the onset of synchronization as a function of the noise intensity, the frequency distribution and the first two moments of the degree distribution. Our approach is applied to a dense small-world network model, for which we calculate the degree distribution. Numerical simulations prove the validity of the made replacement. We also test the applicability to more sparsely connected networks and formulate homogeneity and absence of correlations in the degree distribution as limiting factors of our approach.</description><identifier>EISSN: 2331-8422</identifier><identifier>DOI: 10.48550/arxiv.1112.5503</identifier><language>eng</language><publisher>Ithaca: Cornell University Library, arXiv.org</publisher><subject>Computer simulation ; Fokker-Planck equation ; Frequency distribution ; Mathematical models ; Networks ; Noise intensity ; Oscillators ; Physics - Biological Physics ; Physics - Chaotic Dynamics ; Physics - Disordered Systems and Neural Networks ; Resonant frequencies ; Synchronism</subject><ispartof>arXiv.org, 2012-05</ispartof><rights>2012. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,778,782,883,27908</link.rule.ids><backlink>$$Uhttps://doi.org/10.1103/PhysRevE.85.051116$$DView published paper (Access to full text may be restricted)$$Hfree_for_read</backlink><backlink>$$Uhttps://doi.org/10.48550/arXiv.1112.5503$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Sonnenschein, Bernard</creatorcontrib><creatorcontrib>Schimansky-Geier, Lutz</creatorcontrib><title>Onset of Synchronization in Complex Networks of Noisy Oscillators</title><title>arXiv.org</title><description>We study networks of noisy phase oscillators whose nodes are characterized by a random degree counting the number of its connections. Both these degrees and the natural frequencies of the oscillators are distributed according to a given probability density. Replacing the randomly connected network by an all-to-all coupled network with weighted edges, allows us to formulate the dynamics of a single oscillator coupled to the mean field and to derive the corresponding Fokker-Planck equation. From the latter we calculate the critical coupling strength for the onset of synchronization as a function of the noise intensity, the frequency distribution and the first two moments of the degree distribution. Our approach is applied to a dense small-world network model, for which we calculate the degree distribution. Numerical simulations prove the validity of the made replacement. We also test the applicability to more sparsely connected networks and formulate homogeneity and absence of correlations in the degree distribution as limiting factors of our approach.</description><subject>Computer simulation</subject><subject>Fokker-Planck equation</subject><subject>Frequency distribution</subject><subject>Mathematical models</subject><subject>Networks</subject><subject>Noise intensity</subject><subject>Oscillators</subject><subject>Physics - Biological Physics</subject><subject>Physics - Chaotic Dynamics</subject><subject>Physics - Disordered Systems and Neural Networks</subject><subject>Resonant frequencies</subject><subject>Synchronism</subject><issn>2331-8422</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GOX</sourceid><recordid>eNotj81LwzAchoMgOObunqTguTW_fLTpcRQ_BmM9uHtJ0hQzu6Ymna7-9bbO08sLDy_vg9Ad4IQJzvGj9Gf7lQAASaZKr9CCUAqxYITcoFUIB4wxSTPCOV2gddkFM0Suid7GTr9719kfOVjXRbaLCnfsW3OOdmb4dv4jzNjO2TBGZdC2beXgfLhF141sg1n95xLtn5_2xWu8LV82xXobSw55rJSBzGjRQD5VwRVWGYc6k1oKqQA4axhJWY0l1BKY5rlQvMGAlW6AqZwu0f1l9k-v6r09Sj9Ws2Y1a07AwwXovfs8mTBUB3fy3XSpIlikPE0FyekvFsJVMw</recordid><startdate>20120502</startdate><enddate>20120502</enddate><creator>Sonnenschein, Bernard</creator><creator>Schimansky-Geier, Lutz</creator><general>Cornell University Library, arXiv.org</general><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>GOX</scope></search><sort><creationdate>20120502</creationdate><title>Onset of Synchronization in Complex Networks of Noisy Oscillators</title><author>Sonnenschein, Bernard ; Schimansky-Geier, Lutz</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a519-bbe17ec8f1951985b0b751d7aca8ab1154f4264d0a1da14c598b5f010bcf14b93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Computer simulation</topic><topic>Fokker-Planck equation</topic><topic>Frequency distribution</topic><topic>Mathematical models</topic><topic>Networks</topic><topic>Noise intensity</topic><topic>Oscillators</topic><topic>Physics - Biological Physics</topic><topic>Physics - Chaotic Dynamics</topic><topic>Physics - Disordered Systems and Neural Networks</topic><topic>Resonant frequencies</topic><topic>Synchronism</topic><toplevel>online_resources</toplevel><creatorcontrib>Sonnenschein, Bernard</creatorcontrib><creatorcontrib>Schimansky-Geier, Lutz</creatorcontrib><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>arXiv.org</collection><jtitle>arXiv.org</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sonnenschein, Bernard</au><au>Schimansky-Geier, Lutz</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Onset of Synchronization in Complex Networks of Noisy Oscillators</atitle><jtitle>arXiv.org</jtitle><date>2012-05-02</date><risdate>2012</risdate><eissn>2331-8422</eissn><abstract>We study networks of noisy phase oscillators whose nodes are characterized by a random degree counting the number of its connections. Both these degrees and the natural frequencies of the oscillators are distributed according to a given probability density. Replacing the randomly connected network by an all-to-all coupled network with weighted edges, allows us to formulate the dynamics of a single oscillator coupled to the mean field and to derive the corresponding Fokker-Planck equation. From the latter we calculate the critical coupling strength for the onset of synchronization as a function of the noise intensity, the frequency distribution and the first two moments of the degree distribution. Our approach is applied to a dense small-world network model, for which we calculate the degree distribution. Numerical simulations prove the validity of the made replacement. We also test the applicability to more sparsely connected networks and formulate homogeneity and absence of correlations in the degree distribution as limiting factors of our approach.</abstract><cop>Ithaca</cop><pub>Cornell University Library, arXiv.org</pub><doi>10.48550/arxiv.1112.5503</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | EISSN: 2331-8422 |
ispartof | arXiv.org, 2012-05 |
issn | 2331-8422 |
language | eng |
recordid | cdi_arxiv_primary_1112_5503 |
source | arXiv.org; Free E- Journals |
subjects | Computer simulation Fokker-Planck equation Frequency distribution Mathematical models Networks Noise intensity Oscillators Physics - Biological Physics Physics - Chaotic Dynamics Physics - Disordered Systems and Neural Networks Resonant frequencies Synchronism |
title | Onset of Synchronization in Complex Networks of Noisy Oscillators |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-16T18%3A01%3A12IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_arxiv&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Onset%20of%20Synchronization%20in%20Complex%20Networks%20of%20Noisy%20Oscillators&rft.jtitle=arXiv.org&rft.au=Sonnenschein,%20Bernard&rft.date=2012-05-02&rft.eissn=2331-8422&rft_id=info:doi/10.48550/arxiv.1112.5503&rft_dat=%3Cproquest_arxiv%3E2086566829%3C/proquest_arxiv%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2086566829&rft_id=info:pmid/&rfr_iscdi=true |