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Limiting measure and stationarity of solutions to stochastic evolution equations with Volterra noise

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F18%3A10384057" target="_blank" >RIV/00216208:11320/18:10384057 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1080/07362994.2017.1409124" target="_blank" >https://doi.org/10.1080/07362994.2017.1409124</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1080/07362994.2017.1409124" target="_blank" >10.1080/07362994.2017.1409124</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Limiting measure and stationarity of solutions to stochastic evolution equations with Volterra noise

  • Original language description

    Large-time behavior of solutions to stochastic evolution equations driven by two-sided regular cylindrical Volterra processes is studied. The solution is understood in the mild sense and takes values in a separable Hilbert space. Sufficient conditions for the existence of a limiting measure and strict stationarity of the solution process are found and an example for which these conditions are also necessary is provided. The results are further applied to the heat equation perturbed by the two-sided Rosenblatt process.

  • 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

    10103 - Statistics and probability

Result continuities

  • Project

    <a href="/en/project/GA15-08819S" target="_blank" >GA15-08819S: Stochastic Processes in Infinite Dimensional Spaces</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Stochastic Analysis and Applications

  • ISSN

    0736-2994

  • e-ISSN

  • Volume of the periodical

    36

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    20

  • Pages from-to

    393-412

  • UT code for WoS article

    000429995300002

  • EID of the result in the Scopus database

    2-s2.0-85041598060