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Residual predictive information flow in the tight coupling limit: Analytic insights from a minimalistic model

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F19%3A00511378" target="_blank" >RIV/67985807:_____/19:00511378 - isvavai.cz</a>

  • Alternative codes found

    RIV/00023752:_____/19:43920211

  • Result on the web

    <a href="http://hdl.handle.net/11104/0301657" target="_blank" >http://hdl.handle.net/11104/0301657</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/e21101010" target="_blank" >10.3390/e21101010</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Residual predictive information flow in the tight coupling limit: Analytic insights from a minimalistic model

  • Original language description

    In a coupled system, predictive information flows from the causing to the caused variable. The amount of transferred predictive information can be quantified through the use of transfer entropy or, for Gaussian variables, equivalently via Granger causality. It is natural to expect and has been repeatedly observed that a tight coupling does not permit to reconstruct a causal connection between causing and caused variables. Here, we show that for a model of interacting social groups, carried from the master equation to the Fokker–Planck level, a residual predictive information flow can remain for a pair of uni-directionally coupled variables even in the limit of infinite coupling strength. We trace this phenomenon back to the question of how the synchronizing force and the noise strength scale with the coupling strength. A simplified model description allows us to derive analytic expressions that fully elucidate the interplay between deterministic and stochastic model parts.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Entropy

  • ISSN

    1099-4300

  • e-ISSN

  • Volume of the periodical

    21

  • Issue of the periodical within the volume

    10

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    10

  • Pages from-to

    1010

  • UT code for WoS article

    000495094000092

  • EID of the result in the Scopus database

    2-s2.0-85074025349