TY - JOUR
T1 - Impact of phase lag on synchronization in frustrated Kuramoto model with higher-order interactions
AU - Dutta, Sangita
AU - Mondal, Abhijit
AU - Kundu, Prosenjit
AU - Khanra, Pitambar
AU - Pal, Pinaki
AU - Hens, Chittaranjan
N1 - Publisher Copyright:
© 2023 American Physical Society.
PY - 2023/9
Y1 - 2023/9
N2 - The study of first order transition (explosive synchronization) in an ensemble (network) of coupled oscillators has been the topic of paramount interest among the researchers for more than one decade. Several frameworks have been proposed to induce explosive synchronization in a network and it has been reported that phase frustration in a network usually suppresses first order transition in the presence of pairwise interactions among the oscillators. However, on the contrary, by considering networks of phase frustrated coupled oscillators in the presence of higher-order interactions (up to 2-simplexes) we show here, under certain conditions, phase frustration can promote explosive synchronization in a network. A low-dimensional model of the network in the thermodynamic limit is derived using the Ott-Antonsen ansatz to explain this surprising result. Analytical treatment of the low-dimensional model, including bifurcation analysis, explains the apparent counter intuitive result quite clearly.
AB - The study of first order transition (explosive synchronization) in an ensemble (network) of coupled oscillators has been the topic of paramount interest among the researchers for more than one decade. Several frameworks have been proposed to induce explosive synchronization in a network and it has been reported that phase frustration in a network usually suppresses first order transition in the presence of pairwise interactions among the oscillators. However, on the contrary, by considering networks of phase frustrated coupled oscillators in the presence of higher-order interactions (up to 2-simplexes) we show here, under certain conditions, phase frustration can promote explosive synchronization in a network. A low-dimensional model of the network in the thermodynamic limit is derived using the Ott-Antonsen ansatz to explain this surprising result. Analytical treatment of the low-dimensional model, including bifurcation analysis, explains the apparent counter intuitive result quite clearly.
UR - http://www.scopus.com/inward/record.url?scp=85172875105&partnerID=8YFLogxK
U2 - 10.1103/PhysRevE.108.034208
DO - 10.1103/PhysRevE.108.034208
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C2 - 37849147
AN - SCOPUS:85172875105
SN - 2470-0045
VL - 108
JO - Physical Review E
JF - Physical Review E
IS - 3
M1 - 034208
ER -