On the emerging asymptotic patterns of the Winfree model with frustrations

Nonlinearity ◽  
2021 ◽  
Vol 34 (4) ◽  
pp. 2454-2482
Author(s):  
Seung-Yeal Ha ◽  
Myeongju Kang ◽  
Bora Moon
2015 ◽  
Vol 35 (8) ◽  
pp. 3417-3436 ◽  
Author(s):  
Seung-Yeal Ha ◽  
◽  
Jinyeong Park ◽  
Sang Woo Ryoo ◽  
Keyword(s):  

2021 ◽  
Vol 0 (0) ◽  
pp. 0
Author(s):  
Hansol Park

<p style='text-indent:20px;'>We present a high-dimensional Winfree model in this paper. The Winfree model is a mathematical model for synchronization on the unit circle. We generalize this model compare to the high-dimensional sphere and we call it the Winfree sphere model. We restricted the support of the influence function in the neighborhood of the attraction point to a small diameter to mimic the influence function as the Dirac delta distribution. We can obtain several new conditions of the complete phase-locking states for the identical Winfree sphere model from restricting the support of the influence function. We also prove the complete oscillator death(COD) state from the exponential <inline-formula><tex-math id="M1">\begin{document}$ \ell^1 $\end{document}</tex-math></inline-formula>-stability and the existence of the equilibrium solution.</p>


2021 ◽  
Vol 104 (6) ◽  
Author(s):  
M. Manoranjani ◽  
R. Gopal ◽  
D. V. Senthilkumar ◽  
V. K. Chandrasekar

2017 ◽  
Vol 96 (4) ◽  
Author(s):  
Rafael Gallego ◽  
Ernest Montbrió ◽  
Diego Pazó

2021 ◽  
Vol 20 (11) ◽  
pp. 3959
Author(s):  
Seung-Yeal Ha ◽  
Doheon Kim ◽  
Bora Moon

<p style='text-indent:20px;'>We study a structural robustness of the complete oscillator death state in the Winfree model with random inputs and adaptive couplings. For this, we present a sufficient framework formulated in terms of initial data, natural frequencies and adaptive coupling strengths. In our proposed framework, we derive propagation of infinitesimal variations in random space and asymptotic disappearance of random effects which exhibits the robustness of the complete oscillator death state for the random Winfree model.</p>


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