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Enhancement of stability of metastable states in the presence of Lévy noise

by Alexander A. Dubkov, Claudio Guarcello, Bernardo Spagnolo

This is not the latest submitted version.

Submission summary

Authors (as registered SciPost users): Claudio Guarcello · Bernardo Spagnolo
Submission information
Preprint Link: scipost_202401_00039v1  (pdf)
Date submitted: 2024-01-30 15:25
Submitted by: Spagnolo, Bernardo
Submitted to: SciPost Physics
Ontological classification
Academic field: Physics
Specialties:
  • Condensed Matter Physics - Theory
  • Statistical and Soft Matter Physics
Approach: Theoretical

Abstract

The barrier crossing event for superdiffusion in the form of symmetric Lévy flights is investigated. We derive from the fractional Fokker-Planck equation a general differential equation with the corresponding conditions useful to calculate the mean residence time of a particle in a fixed interval for an arbitrary smooth potential profile, in particular metastable, with a sink and a Lévy noise with an arbitrary index ↵. A closed expression in quadrature of the nonlinear relaxation time for Lévy flights with the index ↵ = 1 in cubic metastable potential is obtained. Enhancement of the mean residence time in the metastable state, analytically derived, due to Lévy noise is found.

Current status:
Has been resubmitted

Reports on this Submission

Report #2 by Anonymous (Referee 3) on 2024-6-13 (Invited Report)

Strengths

1. Obtained an exact analytical result for the nonlinear relaxation time
2. Found non-monotonic behaviour interpreted as enhanced stability of metastable states

Weaknesses

1. Literature review in introduction is too generic
2. Numerical confirmation missing

Report

The authors investigate the nonlinear relaxation time (NLRT) of a particle in a metastable potential driven by Levy noise. An exact expression for the NLRT is derived and further evaluated analytically for the special case of a cubic metastable potential. The solution reveals the interesting phenomenon of noise enhanced stability, previously observed for Gaussian noise.

The study is carefully performed and mathematically sound. I am quite intrigued by the fact that such an exact solution for the NLRT can be found, in particular since other studies mostly consider asymptotic treatments of similar escape problems for metastable systems. The manuscript is thus certainly suitable for publication in principle, but I recommend that the authors consider the following comments to put the work better into context as well as provide independent confirmation.

1. The introduction on the problem is too generic. The problem of escape from metastable states driven by Levy-type noise has attracted a considerable amount of theoretical research over the last two decades. The authors write that "there are a lot of numerical results and some analytical approximations [3,32,35]." But there are lot more than 3 articles that are relevant here (see, e.g., the references discussed in Ref.[35]). This does not have to be exhaustive, but it would be useful to know the different technical approaches used previously and the results found.

2. Likewise, I wonder if the discussion in Section 2 requires some more references. Has this approach been discussed previously for Gaussian noise?

3. The discussion of the ratio <\tau_NLRT>/\tau_d below Eqs.(28,29) is confusing, because \tau_d appears without any proper introduction. It would be clearer if first the behaviour of <\tau_NLRT> would be discussed by itself together with the relevant figures (Fig.2b and Figs.3a,b). Then, \tau_d could be introduced (this needs more explanations) and the ratio <\tau_NLRT>/\tau_d discussed.

4. The authors should clarify whether "nonlinear relaxation time" and "mean residence time" are the same quantity. If they are identical, I would recommend to use only one of the two terminologies throughout the manuscript.

5. The analytical results should be supplemented by numerical results. It is straightforward to simulate Eq.(2), thus numerical confirmation should be provided.

6. The authors mention that the enhancement of stability of metastable states has been observed previously for Gaussian noise. How does \tau_NLRT differ quantitatively from this case? It would be important to understand how the stability is affected by the non-Gaussianity of the noise.

Requested changes

See report

Recommendation

Ask for minor revision

  • validity: good
  • significance: ok
  • originality: ok
  • clarity: high
  • formatting: good
  • grammar: acceptable

Author:  Bernardo Spagnolo  on 2024-09-20  [id 4790]

(in reply to Report 2 on 2024-06-13)
Category:
objection
reply to objection

The Referee writes: 1 – Objection “1. The introduction on the problem is too generic. The problem of escape from metastable states driven by Levy-type noise has attracted a considerable amount of theoretical research over the last two decades. The authors write that “there are a lot of numerical results and some analytical approximations [3,32,35].” But there are lot more than 3 articles that are relevant here (see, e.g., the references discussed in Ref. [35]). This does not have to be exhaustive, but it would be useful to know the different technical approaches used previously and the results found.”

Our response: 1 - Reply to objection 1. The Referee is right. We have thoroughly rewritten the introduction to place the manuscript's subject in a broader and more scientifically appropriate context, incorporating additional relevant material. Specifically, we have emphasized the key question under investigation. Additionally, we provide a brief review of theoretical studies on the problem of escape from metastable states driven by Lévy noise, published over the past two decades. This review includes extensive research conducted through both numerical simulations and analytical approximations, with relevant citations (see references [3, 41, 44, 46-55]). Additionally, we have revised and improved the abstract for greater clarity and precision.

The Referee writes: 2 - Objection 2. “Likewise, I wonder if the discussion in Section 2 requires some more references. Has this approach been discussed previously for Gaussian noise?”

Our response: 2 - Reply to objection The referee is correct. We have added new references and properly contextualized them. As mentioned in the introduction and immediately after equation (1), our study applies to the stability index 𝛼 of the Lévy distribution within the range 0 < 𝛼 < 2. In other words, it does not apply to 𝛼 =2, which corresponds to Gaussian noise. The phenomenon of noise-enhanced stability under Gaussian noise has been thoroughly investigated using different approaches, as highlighted in the new references [7-15], particularly through studies on the ordinary Fokker-Planck equation and, in some cases, using functional analysis.

The Referee writes: 3 - Objection 3. “The discussion of the ratio ⟨τNLRT⟩/τd below Eqs. (28,29) is confusing, because τd appears without any proper introduction. It would be clearer if first the behaviour of ⟨τNLRT⟩ would be discussed by itself together with the relevant figures (Fig.2b and Figs. 3a,b). Then, τd could be introduced (this needs more explanations) and the ratio ⟨τNLRT⟩/τd discussed.”

Our response: 3 - Reply to objection The referee is correct. First we changed τNLRT to 𝜏𝑀𝑅𝑇. We have now properly introduced the dynamic time 𝜏𝑑 immediately after presenting the exact quadrature result in Eq. (29), along with the necessary explanations. Additionally, in the footnote on page 7, we have described the non-normalized behavior of the mean residence time in the metastable state, 𝜏𝑀𝑅𝑇(x0), as a function of the noise intensity parameter 𝐷1 with fixed 𝐿2. This shows the same non-monotonic behavior, including a maximum, though with different scaling on the vertical axis of Fig. 2. In Fig. 3, the MRT 𝜏𝑀𝑅𝑇(x0) versus 𝐷1, with fixed L1, is shown. Additionally, we have added more physical insights on the new Figs. 2 and 3, along with details on the numerical integration of the Langevin equation (1). Please refer to the updated page 8 of the revised manuscript.

The Referee writes: 4 - Objection 4. “The authors should clarify whether "nonlinear relaxation time" and "mean residence time" are the same quantity. If they are identical, I would recommend to use only one of the two terminologies throughout the manuscript.”

Our response: 4 - Reply to objection The referee is correct. We have consistently used the term “mean residence time” throughout the revised manuscript.

The Referee writes: 5 - Objection 5. “The analytical results should be supplemented by numerical results. It is straightforward to simulate Eq.(2), thus numerical confirmation should be provided.”

Our response: 5 - Reply to objection We thank the Referee for the suggestion, which we have implemented by complementing the analytical results with numerical simulations of Eq. (1). We found excellent agreement between the exact theoretical results of Eq. (29) and the numerical simulations of Eq. (1), as demonstrated in Figs. 2b and 3b, thereby providing strong numerical confirmation.

The Referee writes: 6 - Objection 6. “The authors mention that the enhancement of stability of metastable states has been observed previously for Gaussian noise. How does 𝜏NL𝑅𝑇 differ quantitatively from this case? It would be important to understand how the stability is affected by the non-Gaussianity of the noise.”

Our response: 6 - Reply to objection First we changed τNLRT to 𝜏𝑀𝑅𝑇. Then, on page 8 we described how 𝜏𝑀𝑅𝑇 with non-Gaussian noise differs qualitatively and quantitatively from the case of Gaussian noise. In particular, we note that in the limit D1 →0, and for unstable initial position of the particle, there is a divergent behavior of τMRT(x0) with a Gaussian noise source, see Refs. [7–13, 15]. For Lévy flights, however, τMRT (x0) exhibits a finite, nonmonotonic behavior as a function of the noise intensity parameter D1, with finite asymptotic values in the limit D1 →0. Due to the heavy tails of the distribution, a particle spends a finite amount of time in the metastable area even in the limit D1 → 0. For very large noise intensity parameter, in the limit D1 →∞, the normalized MRT follows a power-law behavior as a function of the noise intensity parameter, see Refs. [3,4].

Attachment:

Reply_to_Report_2_19.09.24.pdf

Author:  Bernardo Spagnolo  on 2024-09-20  [id 4789]

(in reply to Report 2 on 2024-06-13)
Category:
objection
reply to objection

The Referee writes: 1 – Objection “1. The introduction on the problem is too generic. The problem of escape from metastable states driven by Levy-type noise has attracted a considerable amount of theoretical research over the last two decades. The authors write that “there are a lot of numerical results and some analytical approximations [3,32,35].” But there are lot more than 3 articles that are relevant here (see, e.g., the references discussed in Ref. [35]). This does not have to be exhaustive, but it would be useful to know the different technical approaches used previously and the results found.”

Our response: 1 - Reply to objection 1. The Referee is right. We have thoroughly rewritten the introduction to place the manuscript's subject in a broader and more scientifically appropriate context, incorporating additional relevant material. Specifically, we have emphasized the key question under investigation. Additionally, we provide a brief review of theoretical studies on the problem of escape from metastable states driven by Lévy noise, published over the past two decades. This review includes extensive research conducted through both numerical simulations and analytical approximations, with relevant citations (see references [3, 41, 44, 46-55]). Additionally, we have revised and improved the abstract for greater clarity and precision.

The Referee writes: 2 - Objection 2. “Likewise, I wonder if the discussion in Section 2 requires some more references. Has this approach been discussed previously for Gaussian noise?”

Our response: 2 - Reply to objection The referee is correct. We have added new references and properly contextualized them. As mentioned in the introduction and immediately after equation (1), our study applies to the stability index 𝛼 of the Lévy distribution within the range 0 < 𝛼 < 2. In other words, it does not apply to 𝛼 =2, which corresponds to Gaussian noise. The phenomenon of noise-enhanced stability under Gaussian noise has been thoroughly investigated using different approaches, as highlighted in the new references [7-15], particularly through studies on the ordinary Fokker-Planck equation and, in some cases, using functional analysis.

The Referee writes: 3 - Objection 3. “The discussion of the ratio ⟨τNLRT⟩/τd below Eqs. (28,29) is confusing, because τd appears without any proper introduction. It would be clearer if first the behaviour of ⟨τNLRT⟩ would be discussed by itself together with the relevant figures (Fig.2b and Figs. 3a,b). Then, τd could be introduced (this needs more explanations) and the ratio ⟨τNLRT⟩/τd discussed.”

Our response: 3 - Reply to objection The referee is correct. First we changed τNLRT to 𝜏𝑀𝑅𝑇. We have now properly introduced the dynamic time 𝜏𝑑 immediately after presenting the exact quadrature result in Eq. (29), along with the necessary explanations. Additionally, in the footnote on page 7, we have described the non-normalized behavior of the mean residence time in the metastable state, 𝜏𝑀𝑅𝑇(x0), as a function of the noise intensity parameter 𝐷1 with fixed 𝐿2. This shows the same non-monotonic behavior, including a maximum, though with different scaling on the vertical axis of Fig. 2. In Fig. 3, the MRT 𝜏𝑀𝑅𝑇(x0) versus 𝐷1, with fixed L1, is shown. Additionally, we have added more physical insights on the new Figs. 2 and 3, along with details on the numerical integration of the Langevin equation (1). Please refer to the updated page 8 of the revised manuscript.

The Referee writes: 4 - Objection 4. “The authors should clarify whether "nonlinear relaxation time" and "mean residence time" are the same quantity. If they are identical, I would recommend to use only one of the two terminologies throughout the manuscript.”

Our response: 4 - Reply to objection The referee is correct. We have consistently used the term “mean residence time” throughout the revised manuscript.

The Referee writes: 5 - Objection 5. “The analytical results should be supplemented by numerical results. It is straightforward to simulate Eq.(2), thus numerical confirmation should be provided.”

Our response: 5 - Reply to objection We thank the Referee for the suggestion, which we have implemented by complementing the analytical results with numerical simulations of Eq. (1). We found excellent agreement between the exact theoretical results of Eq. (29) and the numerical simulations of Eq. (1), as demonstrated in Figs. 2b and 3b, thereby providing strong numerical confirmation.

The Referee writes: 6 - Objection 6. “The authors mention that the enhancement of stability of metastable states has been observed previously for Gaussian noise. How does 𝜏NL𝑅𝑇 differ quantitatively from this case? It would be important to understand how the stability is affected by the non-Gaussianity of the noise.”

Our response: 6 - Reply to objection First we changed τNLRT to 𝜏𝑀𝑅𝑇. Then, on page 8 we described how 𝜏𝑀𝑅𝑇 with non-Gaussian noise differs qualitatively and quantitatively from the case of Gaussian noise. In particular, we note that in the limit D1 →0, and for unstable initial position of the particle, there is a divergent behavior of τMRT(x0) with a Gaussian noise source, see Refs. [7–13, 15]. For Lévy flights, however, τMRT (x0) exhibits a finite, nonmonotonic behavior as a function of the noise intensity parameter D1, with finite asymptotic values in the limit D1 →0. Due to the heavy tails of the distribution, a particle spends a finite amount of time in the metastable area even in the limit D1 → 0. For very large noise intensity parameter, in the limit D1 →∞, the normalized MRT follows a power-law behavior as a function of the noise intensity parameter, see Refs. [3,4].

Attachment:

Reply_to_Report_2.pdf

Report #1 by Anonymous (Referee 1) on 2024-6-4 (Contributed Report)

Strengths

1. First exact analytical derivation of NLRT with Levy noise.
2. Demonstration of significant Noise Enhanced Stabilization effect for Levy noise case.

Weaknesses

1. Missing figure plots
2. Lack of proper citations of origial papers, describing basic definitions.

Report

This manuscript presents the results of analytical derivation of a Nonlinear Relaxation Time (NLRT) in the case of Levy noise. In particular, the following important results are derived: the exact results of the NLRT for a particle moving in an arbitrary potential profile in the presence of Lévy noise; a closed expression written by quadratures for NLRT for the particular case of Cauchy noise in cubic metastable potential. To my knowledge, these are the first exact analytical results for any more complex than Markovian case, which have numerous applications in physics, but especially in biology. Besides that, using the obtained analytical results the authors investigate the Noise Enhanced Stabilization effect and show its significant amplification in comparison with white noise case. The paper is interesting and clearly written, so it can be recommended for publication after addressing minor comments listed below.

Comments:
1. In Fig. 3b the only empty frame without any curves is visible, please correct.
2. When describing the basic definition for NLRT (3),(4), the authors should cite the first paper
https://doi.org/10.1016/0378-4371(95)00395-9, where this definition was used for exact derivation of NLRT of a Brownian particle in a smooth potential. Later, this definition was generalized to arbitrary moments of transition times https://doi.org/10.1016/S0375-9601(97)00599-9. Also, it has been demonstrated there for smooth symmetric potentials, that the moments of the First Passage times to the point of symmetry completely coincide with the corresponding moments of transition times. As suggestion for future studies, the authors may try to extend the obtained results to the case of the standard deviation of transition time, which has important applications for description of switching errors of various electronic devices. Another important paper, where the NLRT for the first time has been expressed by quadratures for Markovian processes in smooth potentials, is https://doi.org/10.1016/0921-4534(96)00426-1. There, the NES effect, studied by the authors, was described analytically both using the exact expression and asymptotic series in the low noise limit, see the plots in Fig. 4, so this reference should be added to the list of papers, devoted to NES effect.

Requested changes

1. In Fig. 3b the only empty frame without any curves is visible, please correct.
2. When describing the basic definition for NLRT (3),(4), the authors should cite the first paper
https://doi.org/10.1016/0378-4371(95)00395-9, where this definition was used for exact derivation of NLRT of a Brownian particle in a smooth potential. Later, this definition was generalized to arbitrary moments of transition times https://doi.org/10.1016/S0375-9601(97)00599-9. Also, it has been demonstrated there for smooth symmetric potentials, that the moments of the First Passage times to the point of symmetry completely coincide with the corresponding moments of transition times. As suggestion for future studies, the authors may try to extend the obtained results to the case of the standard deviation of transition time, which has important applications for description of switching errors of various electronic devices. Another important paper, where the NLRT for the first time has been expressed by quadratures for Markovian processes in smooth potentials, is https://doi.org/10.1016/0921-4534(96)00426-1. There, the NES effect, studied by the authors, was described analytically both using the exact expression and asymptotic series in the low noise limit, see the plots in Fig. 4, so this reference should be added to the list of papers, devoted to NES effect.

Recommendation

Ask for minor revision

  • validity: top
  • significance: high
  • originality: top
  • clarity: high
  • formatting: excellent
  • grammar: excellent

Author:  Bernardo Spagnolo  on 2024-06-15  [id 4569]

(in reply to Report 1 on 2024-06-04)

The Referee writes: 1 – Objection “1. In Fig. 3b the only empty frame without any curves is visible, please correct.”

Our response: 1 - Reply to objection 1. Fig. 3b has been corrected, now all curves are visible in the revised version.

The Referee writes: 2 - Objection 2. When describing the basic definition for NLRT (3),(4), the authors should cite the first paper https://doi.org/10.1016/0378-4371(95)00395-9, where this definition was used for exact derivation of NLRT of a Brownian particle in a smooth potential. Later, this definition was generalized to arbitrary moments of transition times https://doi.org/10.1016/S0375-9601(97)00599-9. Also, it has been demonstrated there for smooth symmetric potentials, that the moments of the First Passage times to the point of symmetry completely coincide with the corresponding moments of transition times. As suggestion for future studies, the authors may try to extend the obtained results to the case of the standard deviation of transition time, which has important applications for description of switching errors of various electronic devices. Another important paper, where the NLRT for the first time has been expressed by quadratures for Markovian processes in smooth potentials, is https://doi.org/10.1016/0921-4534(96)00426-1. There, the NES effect, studied by the authors, was described analytically both using the exact expression and asymptotic series in the low noise limit, see the plots in Fig. 4, so this reference should be added to the list of papers, devoted to NES effect.

Our response: 2 - Reply to objection We thank the Referee for suggesting relevant references that we will add in the revised version of the manuscript with related comments. In particular in the introduction of the revised version we will include the following references: i) K. Binder, “Time-Dependent Ginzburg-Landau Theory of Nonequilibrium Relaxation”, Phys. Rev. B 8, 3423 (1973), https://doi.org/10.1103/PhysRevB.8.3423; ii) N. V. Agudov and A. N. Malakhov, “Nonstationary diffusion through arbitrary piecewise-linear potential profile. Exact solution and time characteristics”, Radiophys. Quantum Electron. 36, 97 (1993), https://doi.org/10.1007/BF01059491; iii) A.N. Malakhov, A.L. Pankratov, “Exact solution of Kramers' problem for piecewise parabolic potential profiles”, Physica A: Statistical Mechanics and its Applications 229, 109-126 (1996), https://doi.org/10.1016/0378-4371(95)00395-9; iv) A.L. Pankratov, “On certain time characteristics of dynamical systems driven by noise”, Physics Letters A 234, 329-335 (1997), https://doi.org/10.1016/S0375-9601(97)00599-9; v) A.N. Malakhov, A.L. Pankratov, “Influence of thermal fluctuations on time characteristics of a single Josephson element with high damping exact solution”, Physica C: Superconductivity 269, 46-54 (1996), https://doi.org/10.1016/0921-4534(96)00426-1.

Finally, the changes requested by the Referee coincide with the Comments, to which we have already responded, see above. Specifically, the list of changes is as follows: 1 – New Fig. 3b 2 – Five new references reported in the above response to objection 2. 3 – Related comments on these new references in the introduction of the revised manuscript.

Attachment:

Reply_to_Report_1_15.06.24.pdf

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Comments

Olga Chichigina  on 2024-06-11  [id 4559]

The authors have obtained general equations for calculating the nonlinear relaxation time of the superdiffusion process in the form of symmetric Lévy flights, for an arbitrary Lévy index α and an arbitrary smooth potential profile with a sink. This result combines several limiting cases presented in previous articles and can be used to predict relaxation time for new potential profiles. The results can be applied in a wide variety of fields where metastable states are found, such as phase transitions, chemical reactions, population dynamics, and even animal behavior models (see, for example, Costa et al, Chaos 33, 023136 (2023)). The paper will be useful for many specialists, including mathematicians, since it also gives a good example of using mathematical methods based on the fractional Fokker-Planck equation.