Quarterly of Applied Mathematics

Quarterly of Applied Mathematics

Online ISSN 1552-4485; Print ISSN 0033-569X

   
 
 

 

A local sensitivity analysis in Landau damping for the kinetic Kuramoto equation with random inputs


Authors: Zhiyan Ding, Seung-Yeal Ha and Shi Jin
Journal: Quart. Appl. Math. 79 (2021), 229-264
MSC (2010): Primary 35L02, 92B99
DOI: https://doi.org/10.1090/qam/1578
Published electronically: August 31, 2020
MathSciNet review: 4246492
Full-text PDF

Abstract | References | Similar Articles | Additional Information

Abstract: We present a local sensitivity analysis in Landau damping for the kinetic Kuramoto equation with random inputs. The kinetic Kuramoto equation governs the temporal-phase dynamics of the one-oscillator distribution function for an infinite ensemble of Kuramoto oscillators. When random inputs are absent in the coupling strength and initial data, it is well known that the incoherent state is nonlinearly stable in a subscritical regime where the coupling strength is below the critical coupling strength which is determined by the geometric shape of the distribution function for natural frequency. More precisely, the Kuramoto order parameter measuring the fluctuations around the incoherent state tends to zero asymptotically and its decay mode depends on the regularity(smoothness) of natural frequency distribution function and initial datum. This phenomenon is called Landau damping in the Kuramoto model in analogy with Landau damping arising from plasma physics. Our analytical results show that Landau damping is structurally robust with respect to random inputs at least in a subcritical regime. As in the deterministic setting, the decay mode for the derivatives of the order parameter in the random space can be either algebraic or exponential depending on the regularities of the initial datum and natural frequency distribution, respectively, and the smoothness for the order parameter in the random space is determined by the smoothness of the coupling strength.


References [Enhancements On Off] (What's this?)

References

Similar Articles

Retrieve articles in Quarterly of Applied Mathematics with MSC (2010): 35L02, 92B99

Retrieve articles in all journals with MSC (2010): 35L02, 92B99


Additional Information

Zhiyan Ding
Affiliation: Department of Mathematics, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States of America
MR Author ID: 1330246
Email: zding49@wisc.edu

Seung-Yeal Ha
Affiliation: Department of Mathematical Sciences and Research Institute of Mathematics, Seoul National University, Seoul 08826; and Korea Institute for Advanced Study, Hoegiro 87, Seoul, 02455, Republic of Korea
MR Author ID: 684438
Email: syha@snu.ac.kr

Shi Jin
Affiliation: School of Mathematical Sciences, Institute of Natural Sciences, MOE-LSC, Shanghai Jiao Tong University, Shanghai 200240, People’s Republic of China
Email: shijin-m@sjtu.edu.cn

Keywords: Kuramoto model, Landau damping, random inputs, synchronization
Received by editor(s): February 6, 2020
Received by editor(s) in revised form: June 22, 2020
Published electronically: August 31, 2020
Additional Notes: Corresponding author: Seung-Yeal Ha
The work of the second author was supported by the National Research Foundation of Korea (NRF-2020R1A2C3A01003881).
The work of the third author was supported by NSFC Grant Nos. 11871297 and 3157107.
Article copyright: © Copyright 2020 Brown University