2013
DOI: 10.1088/1742-5468/2013/10/p10026
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A trace formula for activated escape in noisy maps

Abstract: Using path-integral methods, a formula is deduced for the noise-induced escape rate from an attracting fixed point across an unstable fixed point in one-dimensional maps. The calculation starts from the trace formula for the eigenvalues of the Frobenius-Perron operator ruling the time evolution of the probability density in noisy maps. The escape rate is determined from the loop formed by two heteroclinic orbits connecting back and forth the two fixed points of the one-dimensional map extended to a two-dimensi… Show more

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Cited by 6 publications
(9 citation statements)
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“…It is straightforward to generalize the approach of ref. 37 and see that the jump rate has the same exponential dependence on σ 2 when the correlation time Tη is nonzero, as confirmed by Fig. 3.…”
Section: Phase Diagramsupporting
confidence: 74%
“…It is straightforward to generalize the approach of ref. 37 and see that the jump rate has the same exponential dependence on σ 2 when the correlation time Tη is nonzero, as confirmed by Fig. 3.…”
Section: Phase Diagramsupporting
confidence: 74%
“…It is straightforward to generalise the approach of (34) and see that the jump rate has the same exponential dependence on σ 2 when the correlation time Tη is non-zero, as confirmed by Fig 3 . However, finding the value of W is more complicated. Approximation methods can been devised in the continuous time limit, that we describe now.…”
Section: Discrete Mapssupporting
confidence: 60%
“…η = 0 in Eq. ( 7)), this is precisely the general problem studied in (34) in the case where H(x) = x has two stable solutions and an unstable one in-between. The authors show that the average time before jumping from one stable solution to another is given, for small σ, by Eq.…”
Section: Discrete Mapsmentioning
confidence: 94%
See 1 more Smart Citation
“…It is also well-known that analysis of chaotic dynamics can be performed by the observation and measurement of dynamics like trace formulas [ 46 , 47 , 48 , 49 ] or inference of control parameters [ 50 , 51 , 52 ], and so forth. Many analysis methods success with additive perturbation [ 46 , 47 , 48 ].…”
Section: Introductionmentioning
confidence: 99%