We have presented time series plots depicting the existence of chaos in the system (
15). To support our result, we use the most efficient method known as Lyapunov exponents. The sensitivity of chaotic motion to initial conditions is shown by positive values of the Lyapunov exponent. Here, the strength of the external force (
f0) and its frequency (Ω) significantly change the dynamic motion of the system (
15). Therefore, we plot the Lyapunov exponent against
f0 and Ω in figures
8(a)–(b) and
8(c)–(d), respectively, with other parametric values the same as in figure
7. From figures
8(a)–(d), we observe that the system (
15) preserves its conservative property (
13). In figures
8(a)–(b) and
8(c)–(d), the positive values of Lyapunov exponent indicate the existence of chaotic behaviors, which are shown in figures
7(a) and (c), respectively. Here, in figure
8(a), we observe that
f0 in the region (1, 1.2) depicts the existence of quasiperiodic attractors, while the region with
f0 greater than 1.2 shows strong chaotic motion. In figure
8(b), the region with
f0 less than 0.94 shows quasiperiodic motion and that with
f0 greater than 0.94 shows chaotic motion. Similarly, in figure
8(c) at the initial condition (ψ,
y) = [0.08, 0] the regions Ω ∈ (0.43, 1.105) and (3.52, 3.74) depict the existence of quasiperiodic attractors, while the region Ω ∈ (1.27, 3.51) shows chaotic behavior. However, in figure
8(d) at the initial condition (ψ,
y) = [0.089, 0.4], the region with Ω greater than 0.175 depicts chaotic behavior. Hence, figures
8(a)–(d) show how
f0 and Ω affect whether the Lyapunov exponents exhibit positive values for chaotic behavior or zero for quasiperiodic behavior.