Metastable behaviour of small noise Lévy-Driven diffusions

Peter Imkeller; Ilya Pavlyukevich

ESAIM: Probability and Statistics (2008)

  • Volume: 12, page 412-437
  • ISSN: 1292-8100

Abstract

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We consider a dynamical system in driven by a vector field -U', where U is a multi-well potential satisfying some regularity conditions. We perturb this dynamical system by a Lévy noise of small intensity and such that the heaviest tail of its Lévy measure is regularly varying. We show that the perturbed dynamical system exhibits metastable behaviour i.e. on a proper time scale it reminds of a Markov jump process taking values in the local minima of the potential U. Due to the heavy-tail nature of the random perturbation, the results differ strongly from the well studied purely Gaussian case.

How to cite

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Imkeller, Peter, and Pavlyukevich, Ilya. "Metastable behaviour of small noise Lévy-Driven diffusions." ESAIM: Probability and Statistics 12 (2008): 412-437. <http://eudml.org/doc/250429>.

@article{Imkeller2008,
abstract = { We consider a dynamical system in $\mathbb\{R\}$ driven by a vector field -U', where U is a multi-well potential satisfying some regularity conditions. We perturb this dynamical system by a Lévy noise of small intensity and such that the heaviest tail of its Lévy measure is regularly varying. We show that the perturbed dynamical system exhibits metastable behaviour i.e. on a proper time scale it reminds of a Markov jump process taking values in the local minima of the potential U. Due to the heavy-tail nature of the random perturbation, the results differ strongly from the well studied purely Gaussian case. },
author = {Imkeller, Peter, Pavlyukevich, Ilya},
journal = {ESAIM: Probability and Statistics},
keywords = {Lévy process; jump diffusion; heavy tail; regular variation; metastability; extreme events; first exit time; large deviations; extreme events},
language = {eng},
month = {7},
pages = {412-437},
publisher = {EDP Sciences},
title = {Metastable behaviour of small noise Lévy-Driven diffusions},
url = {http://eudml.org/doc/250429},
volume = {12},
year = {2008},
}

TY - JOUR
AU - Imkeller, Peter
AU - Pavlyukevich, Ilya
TI - Metastable behaviour of small noise Lévy-Driven diffusions
JO - ESAIM: Probability and Statistics
DA - 2008/7//
PB - EDP Sciences
VL - 12
SP - 412
EP - 437
AB - We consider a dynamical system in $\mathbb{R}$ driven by a vector field -U', where U is a multi-well potential satisfying some regularity conditions. We perturb this dynamical system by a Lévy noise of small intensity and such that the heaviest tail of its Lévy measure is regularly varying. We show that the perturbed dynamical system exhibits metastable behaviour i.e. on a proper time scale it reminds of a Markov jump process taking values in the local minima of the potential U. Due to the heavy-tail nature of the random perturbation, the results differ strongly from the well studied purely Gaussian case.
LA - eng
KW - Lévy process; jump diffusion; heavy tail; regular variation; metastability; extreme events; first exit time; large deviations; extreme events
UR - http://eudml.org/doc/250429
ER -

References

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  1. N.H. Bingham, C.M. Goldie and J.L. Teugels, Regular variation, Encyclopedia of Mathematics and its applications27. Cambridge University Press, Cambridge (1987).  
  2. A. Bovier, M. Eckhoff, V. Gayrard, and M. Klein, Metastability in reversible diffusion processes I: Sharp asymptotics for capacities and exit times. Eur. Math. Soc.6 (2004) 399–424.  
  3. A. Bovier, V. Gayrard and M. Klein, Metastability in reversible diffusion processes II: Precise asymptotics for small eigenvalues. Eur. Math. Soc.7 (2005) 69–99.  
  4. V.A. Buslov and K.A. Makarov, Life times and lower eigenvalues of an operator of small diffusion. Matematicheskie Zametki51 (1992) 20–31.  
  5. S. Cerrai, Second order PDE's in finite and infinite dimension. A probabilistic approach. Lect. Notes Math. Springer, Berlin Heidelberg (2001).  
  6. A.V. Chechkin, V.Yu Gonchar, J. Klafter and R. Metzler, Barrier crossings of a Lévy flight. EPL72 (2005) 348–354.  
  7. M.V. Day, On the exponential exit law in the small parameter exit problem. Stochastics8 (1983) 297–323.  
  8. P.D. Ditlevsen, Anomalous jumping in a double-well potential. Phys. Rev. E60 (1999) 172–179.  
  9. P.D. Ditlevsen, Observation of α-stable noise induced millenial climate changes from an ice record. Geophysical Research Letters26 (1999) 1441–1444.  
  10. M.I. Freidlin and A.D. Wentzell, Random perturbations of dynamical systems, Grundlehren der Mathematischen Wissenschaften260. Springer, New York, NY, second edition (1998).  
  11. A. Galves, E. Olivieri and M.E. Vares, Metastability for a class of dynamical systems subject to small random perturbations. Ann. Probab.15 (1987) 1288–1305.  
  12. V.V. Godovanchuk, Asymptotic probabilities of large deviations due to large jumps of a Markov process. Theory Probab. Appl.26 (1982) 314–327.  
  13. P. Imkeller and I. Pavlyukevich, First exit times of SDEs driven by stable Lévy processes. Stochastic Process. Appl.116 (2006) 611–642.  
  14. O. Kallenberg, Foundations of modern probability. Probability and Its Applications. Springer, second edition (2002).  
  15. C. Kipnis and C.M. Newman, The metastable behavior of infrequently observed, weakly random, one-dimensional diffusion processes. SIAM J. Appl. Math.45 (1985) 972–982.  
  16. V.N. Kolokol'tsov and K.A. Makarov, Asymptotic spectral analysis of a small diffusion operator and the life times of the corresponding diffusion process. Russian J. Math. Phys.4 (1996) 341–360.  
  17. P. Mathieu, Spectra, exit times and long time asymptotics in the zero-white-noise limit. Stoch. Stoch. Rep.55 1–20 (1995).  
  18. Ph.E. Protter, Stochastic integration and differential equations, Applications of Mathematics21. Springer, Berlin, second edition (2004).  
  19. G. Samorodnitsky and M. Grigoriu, Tails of solutions of certain nonlinear stochastic differential equations driven by heavy tailed Lévy motions. Stoch. Process. Appl.105 (2003) 69–97.  
  20. A.D. Wentzell, Limit theorems on large deviations for Markov stochastic processes, Mathematics and Its Applications (Soviet Series) 38. Kluwer Academic Publishers, Dordrecht (1990).  
  21. M. Williams, Asymptotic exit time distributions. SIAM J. Appl. Math.42 (1982) 149–154.  
  22. Ai H. Xia, Weak convergence of jump processes, in Séminaire de Probabilités, XXVI, Lect. Notes Math.1526 Springer, Berlin (1992) 32–46.  

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