Francesco Ferraro, Christian Grilletta, Amos Maritan, Samir Suweis, Sandro Azaele
{"title":"退火无序线性系统的动态平均场理论精确解","authors":"Francesco Ferraro, Christian Grilletta, Amos Maritan, Samir Suweis, Sandro Azaele","doi":"arxiv-2405.05183","DOIUrl":null,"url":null,"abstract":"We investigate a disordered multi-dimensional linear system in which the\ninteraction parameters vary stochastically in time with defined temporal\ncorrelations. We refer to this type of disorder as \"annealed\", in contrast to\nquenched disorder in which couplings are fixed in time. We extend Dynamical\nMean-Field Theory to accommodate annealed disorder and employ it to find the\nexact solution of the linear model in the limit of a large number of degrees of\nfreedom. Our analysis yields analytical results for the non-stationary\nauto-correlation, the stationary variance, the power spectral density, and the\nphase diagram of the model. Interestingly, some unexpected features emerge upon\nchanging the correlation time of the interactions. The stationary variance of\nthe system and the critical variance of the disorder are generally found to be\na non-monotonic function of the correlation time of the interactions. We also\nfind that in some cases a re-entrant phase transition takes place when this\ncorrelation time is varied.","PeriodicalId":501066,"journal":{"name":"arXiv - PHYS - Disordered Systems and Neural Networks","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Exact solution of Dynamical Mean-Field Theory for a linear system with annealed disorder\",\"authors\":\"Francesco Ferraro, Christian Grilletta, Amos Maritan, Samir Suweis, Sandro Azaele\",\"doi\":\"arxiv-2405.05183\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We investigate a disordered multi-dimensional linear system in which the\\ninteraction parameters vary stochastically in time with defined temporal\\ncorrelations. We refer to this type of disorder as \\\"annealed\\\", in contrast to\\nquenched disorder in which couplings are fixed in time. We extend Dynamical\\nMean-Field Theory to accommodate annealed disorder and employ it to find the\\nexact solution of the linear model in the limit of a large number of degrees of\\nfreedom. Our analysis yields analytical results for the non-stationary\\nauto-correlation, the stationary variance, the power spectral density, and the\\nphase diagram of the model. Interestingly, some unexpected features emerge upon\\nchanging the correlation time of the interactions. The stationary variance of\\nthe system and the critical variance of the disorder are generally found to be\\na non-monotonic function of the correlation time of the interactions. We also\\nfind that in some cases a re-entrant phase transition takes place when this\\ncorrelation time is varied.\",\"PeriodicalId\":501066,\"journal\":{\"name\":\"arXiv - PHYS - Disordered Systems and Neural Networks\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-05-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - PHYS - Disordered Systems and Neural Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2405.05183\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Disordered Systems and Neural Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2405.05183","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Exact solution of Dynamical Mean-Field Theory for a linear system with annealed disorder
We investigate a disordered multi-dimensional linear system in which the
interaction parameters vary stochastically in time with defined temporal
correlations. We refer to this type of disorder as "annealed", in contrast to
quenched disorder in which couplings are fixed in time. We extend Dynamical
Mean-Field Theory to accommodate annealed disorder and employ it to find the
exact solution of the linear model in the limit of a large number of degrees of
freedom. Our analysis yields analytical results for the non-stationary
auto-correlation, the stationary variance, the power spectral density, and the
phase diagram of the model. Interestingly, some unexpected features emerge upon
changing the correlation time of the interactions. The stationary variance of
the system and the critical variance of the disorder are generally found to be
a non-monotonic function of the correlation time of the interactions. We also
find that in some cases a re-entrant phase transition takes place when this
correlation time is varied.