Schwinger–Keldysh Path Integral Formalism for a Quenched Quantum Inverted Oscillator
Abstract
:1. Introduction
2. Formulation of Time-Dependent Generalized Hamiltonian Dynamics
Lewis–Riesenfeld Invariant Method
3. Evaluation of Action
4. Generating Function
5. Schwinger–Keldysh Path Integral
Influence Phase
6. Calculation of Out-of-Time-Ordered Correlator
7. Numerical Results
- In Figure 2, we show the dynamical behavior of the OTOC, for similar quench protocols chosen as the coupling, and frequency, of the inverted oscillator. Here, and are free parameters. From all subplots, it is evident that the early-time behavior of the OTOC is characterized by fluctuating values of the OTOC such that the amplitude of these fluctuations decrease as we move further in time. We also observe that for time values on the order of magnitude 1, the OTOC values scale on the order of or . Upon approximation, the growth exhibits an exponential behavior of the form
- Particularly in the subplot of Figure 2a, when , we observe rapid oscillations having higher amplitudes in values of in the region , marked by a red background. As we approach the quench point at , the amplitude of these oscillation dampens are marked by the yellow region. The chosen quench protocol then starts to thermalize the system and we observe that the fluctuations completely die out at . The value of then rises and saturates for . This late-time behavior of the OTOC is marked by a green background.
- In the subplot of Figure 2b, we observe a similar dynamical behavior in the value of . However, it is evident that at the chosen value of free parameter , the fluctuations die out at . Hence, the early-time behavior of the OTOC is characterized by a fluctuating vale of marked by a red background. This is followed by a rising value of for in the region around the quench point marked by a yellow background. Finally, beyond the quench point, the rise in the value of is followed by thermalization. This is marked by a green background.
- In the subplot of Figure 2c, we increase the free parameter to . We again observe fluctuations in values of , although dying away at . Most of the early-time behavior of the OTOC is characterized by fluctuations which dampen for , marked by a red background. Near the quench point, in the region , we again observe a rising behavior in value of the OTOC, marked by a yellow background. The late-time behavior evidently shows a trend of thermalization in the value of , for the region , marked by a green background. For this parameter, we extract the quantum Lyapunov exponent by plotting the logarithm of with respect to time.
- The quantum Lyapunov exponent is considered as the rate of growth of the logarithmic value of the OTOC and is often used to describe the chaotic nature of the system. Using the value of the OTOC from Equation (103), we can define the Lyapunov exponent for the inverted oscillator asOne can focus on the rising trend in the vs. t plot, and approximate the behavior of in the rising region as an exponential one, . can then be computed as the slope of the plot of vs. t.
- In Figure 3, we plot the dynamical behavior of the logarithm of the OTOC for the same parameters chosen in Figure 2c. Then, can be computed as the slope of the rising trend in this figure from . The average slope, computed for the nearly linear region of Figure 3, was found to be , while the average rate of change in the logarithm of (using Equation (104)) is . Thus, we conclude that the extracted value of the Lyapunov exponent using the graph seems to be in agreement with that using the theoretical value. It is evident from the value of that the system of inverted oscillators is chaotic in nature.
- In Figure Figure 4, we show the dynamical behavior of the OTOC for different quench protocols chosen as the coupling, and frequency, . For all subplots, it is clear that, at early time, the value of fluctuates with rapid oscillations, which are dampened at some time after the quench point . As we move further in time, it is evident that the dynamical effects of quench protocols reduce the amplitude of to zero. Also, as we choose increasing values of the free parameter , the frequency of fluctuations in the value of the OTOC increases.
- Particularly in the subplot of Figure Figure 4a, when , we observe that the early-time behavior of at is dominated by fluctuations, marked by a red background. These oscillations in the value of the OTOC tend to dampen as we move further in time. Around the quench point, for , we observe a rise, followed by a dip in the value of , marked by a yellow background. At late time, for , the oscillations tend to die out completely, such that becomes zero; this is marked by a green background.
- In the subplot of Figure Figure 4b, when we increase the free parameter as , we observe rapid oscillations in the value of with a higher frequency than that of the previous case, in the early-time region, i.e., (red background). The amplitude of these fluctuations dampens for later times. Around the quench point, and at late times, , we again observe a similar trend to that of the previous case, marked by a yellow and green background, respectively.
- In the subplot of Figure Figure 4c, we further increase the free parameter, and observe a similar trend in the dynamical behavior of to that of previous cases. However at early times, for , the fluctuations are more rapid with a higher frequency than that of the previous case. This is marked by a red background.
- It is evident from the nature of the plots shown in Figure 2 that the similar quench protocols for coupling and frequency of the inverted oscillator trigger thermalization such that the OTOC saturates to a non-zero value at very late times. On the other hand, if we choose different quench protocols, as shown in Figure Figure 4, for coupling and frequency of the oscillator, the OTOC, although having no fluctuation at late times, saturates to a zero value.
8. Conclusions
- Starting with a time-dependent Hamiltonian of an inverted oscillator, we use the Lewis–Riesenfeld invariant method to solve the TDSE and hence compute the eigenstates and eigenvalues. We notice that these eigenvalues are independent of the state n, but are continuous functions of time. Using these eigenstates, we have derived the correlation functions in the form of a density matrix.
- Next, we calculate the time-dependent Green’s function for the considered Hamiltonian of an inverted oscillator. The obtained form of Green’s function is used while computing the four-point OTOC.
- Further, we derive the expression of time-dependent eigenstates of the Hamiltonian of generalized inverted oscillator in a Heisenberg picture. The two-point correlators are then derived by using the form of Green’s function. It is evident that the time-dependent OTOC can be expressed in the form of the lesser Green’s function.
- Next, we have expressed the classical action in terms of Heisenberg field operators and Green’s functions. This action is then used to compute the generating function of the system. The final form of the generating functional is evidently dependent on Green’s function and Heisenberg field operators. This generating functional is then used to evaluate the expression for the 4-point OTOC.
- Since there is no implicit time-ordering in the OTOC, one could not use Feynman path integrals to evaluate such correlators. Instead, we have employed the use of Schwinger–Keldysh path integral formalism to compute the OTOC for a time-dependent inverted oscillator. By choosing a Schwinger–Keldysh contour, we have given the exact form of OTOC for the inverted oscillator. Furthermore, we also mention the form of influence phase.
- The analytical form of the real part of the OTOC is then used to numerically evaluate the dynamical behavior of the OTOC. Furthermore, we choose quenched coupling and frequency of the inverted oscillator, so as to comment on the thermalization of the OTOC for different parametric variations.
- From the numerical results, it is evident that there are different phases in the dynamical behavior of the OTOC, with the first being the oscillatory phase where the value of the OTOC fluctuates with a decreasing amplitude. The oscillatory phase is dominant at early times. When we set both the quenched frequency as well as coupling to the same quench protocol, then the quench seems to be thermalizing the OTOC at late time. However, before this thermalization, we observed a clear rise in the value of the OTOC, showcasing the chaotic nature of the system. We could extract the quantum Lyapunov exponent by using this rise in the value of the OTOC. Clearly, the two other phases of the OTOC are the exponential rise and saturation. Furthermore, we observe that as we increase the coupling free parameter in the chosen quench protocol, the fluctuations stop at earlier time. Hence, it can be inferred that increasing coupling essentially make the oscillatory phase of the OTOC less dominant. Also, the initial conditions when changed have drastic effects on the dynamical behavior of the OTOC, again due to the chaotic nature of the system.
- On the other hand, if we choose two different quench protocols as the quenched frequency and coupling, then at early time, the value of fluctuates with rapid oscillations, which are dampened at some time after the quench point . As there is no rise in the OTOC, one can infer that the system is no longer chaotic. As we continue to move further in time, it is evident that the dynamical effects of quench protocols through trying to thermalize the value of OTOC reduce the amplitude of to zero. Also, as we choose increasing values of a frequency-free parameter, the frequency of oscillations at early time increases rapidly.
- In this work, we have developed a means to compute the OTOC for an inverted oscillator in the presence of quenched parameters using its time-dependent ground state. We can develop a thermal effective field theory of this model and compute a thermal OTOC as well [6]. Inspired by the work of [84], we can then use the thermal OTOC to find that our quenched inverted oscillator model exactly saturates to the Maldacena–Shenker–Stanford (MSS) bound on the quantum Lyapunov exponent , where represents the inverse equilibrium temperature of the representative quantum mechanical system after achieving thermalization at the late time scales. This extended version of the computation will also be extremely helpful to comment on whether maximal chaos can be achieved from the present set up or not. Studying the thermal OTOCs and scrambling time scales in systems depending on quenched inverted oscillators can be intriguing. For such a case, one needs to use the well-known thermofield double state [85] instead of the temperature-independent ground state to extend the present computation at finite temperature. One important assumption we need to use to explicitly perform the computation of the OTOC with the thermofield double state is that the system fully thermalizes at the late time scales. There are many applications in black hole physics associated with shock wave geometry [58,86,87,88,89,90,91] and in cosmology [54,92], where one can use the derived results of Schwinger–Keldysh formalism as well as the OTOC. However, the specific effect of the time-dependent quench in the coupling parameters of the underlying theoretical set up have not been studied yet in both the abovementioned problems. It would be really interesting to explicitly study these effects within the framework of black hole physics as well as in cosmology.
- Since in this computation, the time-dependent quantum quench plays a significant role, it is highly natural to study the thermalization phenomenon explicitly from the present set up, as we all know, quantum quench triggers the thermalization procedure in general. If the system under consideration fully thermalizes at the late time scales, then the corresponding system can be described in terms of a pure thermal ensemble and the quantum states are described by thermofield double states. But these types of features are very special and can only happen in very specific small classes of specific theories. If we have a slow/fast quench in the coupling parameters of the theory, then it is naturally expected from the set up that before quench, just after quench, and at late time scales, the corresponding quantum mechanical states will be different. In technical language, these are pre-quench, post-quench-Calabrese–Cardy (CC), or generalized Calabrese–Cardy (gCC) [93,94,95,96] and Generalized Gibbs ensemble (if not fully thermalized) [93,94,95,96] or pure thermofield double states. This particular information is extremely important because the computation of an OTOC is fully dependent on the underlying quantum states. It is expected that for a given theoretical set up, we need to use three different quantum states in three different regimes to compute the expression for the OTOC in the presence of time-dependent quench in the coupling parameters of the theory. In the OTOC computation, which we have performed in this paper, we have used the ground states at zero temperature, which is technically a pre-quench state. It would be highly desirable if one could study the OTOC using the post-quench CC/gCC as well as Generalized Gibbs ensemble/thermal states. Now, one very crucial point is that which people usually do not use to construct these states at different regimes, which is the invariant operator method. This method allows us to construct all possible states at different time scales having a quench profile in the respective parameters of the theory. This implies that the invariant operator method automatically allows us to construct the corresponding quantum states in the pre-quench and post-quench regions, which is necessarily needed to compute an OTOC. Most importantly, the invariant operator method allows us to construct the quantum mechanical states at each instant of time in the time scale, except at the very late time scale when the full thermalization or the effective thermalization has been achieved by the underlying physical set up.
- The OTOC has been used to understand the dynamics of cosmological scalar fields [54], it would be interesting to explore such ideas in the presence of quench. Our work deals with inverted oscillators in the presence of a quench which can be applied to many models appearing in cosmology, quantum gravity, and condensed matter physics.
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
Appendix A. Integration over Initial Field Configuration
Appendix B. Calculation of Green’s Function
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Choudhury, S.; Dey, S.; Gharat, R.M.; Mandal, S.; Pandey, N. Schwinger–Keldysh Path Integral Formalism for a Quenched Quantum Inverted Oscillator. Symmetry 2024, 16, 1308. https://doi.org/10.3390/sym16101308
Choudhury S, Dey S, Gharat RM, Mandal S, Pandey N. Schwinger–Keldysh Path Integral Formalism for a Quenched Quantum Inverted Oscillator. Symmetry. 2024; 16(10):1308. https://doi.org/10.3390/sym16101308
Chicago/Turabian StyleChoudhury, Sayantan, Suman Dey, Rakshit Mandish Gharat, Saptarshi Mandal, and Nilesh Pandey. 2024. "Schwinger–Keldysh Path Integral Formalism for a Quenched Quantum Inverted Oscillator" Symmetry 16, no. 10: 1308. https://doi.org/10.3390/sym16101308
APA StyleChoudhury, S., Dey, S., Gharat, R. M., Mandal, S., & Pandey, N. (2024). Schwinger–Keldysh Path Integral Formalism for a Quenched Quantum Inverted Oscillator. Symmetry, 16(10), 1308. https://doi.org/10.3390/sym16101308