scholarly journals Numerical stability analysis and computation of Hopf bifurcation points for delay differential equations

1996 ◽  
Vol 72 (2) ◽  
pp. 379-392 ◽  
Author(s):  
Tatyana Luzyanina ◽  
Dirk Roose
2012 ◽  
Vol 500 ◽  
pp. 591-595
Author(s):  
Xiang Mei Zhang ◽  
An Ping Xu ◽  
Xian Zhou Guo

The paper deals with the numerical stability analysis of fractional delay differential equations with non-smooth coefficients using the Lagrange collocation method. In this paper, based on the Grunwald-Letnikov fractional derivatives, we discuss the approximation of fractional differentiation by the Lagrange polynomial. Then we study the numerical stability of the fractional delay differential equations. Finally, the stability of the delayed Mathieu equation of fractional order is studied and examined by Lagrange collocation method.


2021 ◽  
Vol 20 (1) ◽  
pp. 333-370
Author(s):  
B. A. J. de Wolff ◽  
F. Scarabel ◽  
S. M. Verduyn Lunel ◽  
O. Diekmann

2021 ◽  
Vol 0 (0) ◽  
pp. 0
Author(s):  
Yanqiang Chang ◽  
Huabin Chen

<p style='text-indent:20px;'>In this paper, the existence and uniquenesss, stability analysis for stochastic delay differential equations with Markovian switching driven by L<inline-formula><tex-math id="M1">\begin{document}$ \acute{e} $\end{document}</tex-math></inline-formula>vy noise are studied. The existence and uniqueness of such equations is simply shown by using the Picard iterative methodology. By using the generalized integral, the Lyapunov-Krasovskii function and the theory of stochastic analysis, the exponential stability in <inline-formula><tex-math id="M2">\begin{document}$ p $\end{document}</tex-math></inline-formula>th(<inline-formula><tex-math id="M3">\begin{document}$ p\geq2 $\end{document}</tex-math></inline-formula>) for stochastic delay differential equations with Markovian switching driven by L<inline-formula><tex-math id="M4">\begin{document}$ \acute{e} $\end{document}</tex-math></inline-formula>vy noise is firstly investigated. The almost surely exponential stability is also applied. Finally, an example is provided to verify our results derived.</p>


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