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An asymptotic estimate for linear delay differential equations with power delayed arguments

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F13%3APU103899" target="_blank" >RIV/00216305:26210/13:PU103899 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    An asymptotic estimate for linear delay differential equations with power delayed arguments

  • Original language description

    The paper gives an analysis of asymptotic behaviour of linear differential equation with several delayed terms. There are considered power function coefficients in the equation. Delayed arguments are in the form of power functions with powers from interval (0,1). Some asymptotic estimates are derived and illustrated by several examples.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    BA - General mathematics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GAP201%2F11%2F0768" target="_blank" >GAP201/11/0768: Qualitative properties of solutions of differential equations and their applications</a><br>

  • Continuities

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

Others

  • Publication year

    2013

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Advances in Dynamical Systems and Applications (ADSA)

  • ISSN

    0973-5321

  • e-ISSN

  • Volume of the periodical

    8

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    IN - INDIA

  • Number of pages

    8

  • Pages from-to

    379-386

  • UT code for WoS article

  • EID of the result in the Scopus database