Fig. 1: The accuracy of our theory increases with the ratio of the interaction strengths of the first layer σ1 to that of the second layer σ2. | Communications Physics

Fig. 1: The accuracy of our theory increases with the ratio of the interaction strengths of the first layer σ1 to that of the second layer σ2.

From: Mean-field nature of synchronization stability in networks with multiple interaction layers

Fig. 1

The relative error in the estimate of the largest Lyapunov exponent \({{{\Lambda }}}_{\max }\) of the perturbed system decreases from a maximum of approximately 40% in region 6 (\({}^{{\sigma }_{1}}\,{/}_{{\sigma }_{2}}\approx 0.0917\)) to a minimum of approximately 0.7% in region 3 (\({}^{{\sigma }_{1}}\,{/}_{{\sigma }_{2}}\approx 3.5\)). Within each region, the error increases sublinearly with the normalized dynamical distance. Each point is averaged over 1000 realizations; error bars are smaller than the symbol size. Inset: schematic illustration of the six regions (adapted from del Genio et al.27). Layer 1 is individually stable only when σ1 is greater than a critical value (red striped regions); layer 2 is individually stable only when σ2 lies between two critical values (blue striped regions); region 1 is the only zone of the phase diagram where both layers are already individually stable.

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