-
3
-
-
0001924877
-
-
F. Apostolico, L. Gammaitoni, F. Marchesoni, and S. Santucci, Phys. Rev. E 55, 36 (1997).
-
(1997)
Phys. Rev. E
, vol.55
, pp. 36
-
-
Apostolico, F.1
Gammaitoni, L.2
Marchesoni, F.3
Santucci, S.4
-
14
-
-
12044257382
-
-
references therein
-
M.F. Shlesinger, G.M. Zaslavsky, and J. Klafter, Nature (London) 363, 31 (1993), and references therein.
-
(1993)
Nature (London)
, vol.363
, pp. 31
-
-
Shlesinger, M.F.1
Zaslavsky, G.M.2
Klafter, J.3
-
15
-
-
0000152120
-
-
G. Casati, B.V. Chirikov, J. Ford, and F.M. Izrailev, Lect. Notes Phys. 93, 334 (1979).
-
(1979)
Lect. Notes Phys.
, vol.93
, pp. 334
-
-
Casati, G.1
Chirikov, B.V.2
Ford, J.3
Izrailev, F.M.4
-
17
-
-
0347912061
-
-
references therein
-
J.L. Skinner, J. Phys. Chem. 98, 2503 (1994), and references therein.
-
(1994)
J. Phys. Chem.
, vol.98
, pp. 2503
-
-
Skinner, J.L.1
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19
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85037216956
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Let (Formula presented) be the average gain of iteration steps by a single negative noise event acting in (Formula presented) The probability for (Formula presented) negative perturbation is (Formula presented) since it is caused by a noise sequence (Formula presented) Thus, the total gain of iterations by negative noise events is given by (Formula presented) e.g., it is just the gain of iterations for one single negative perturbation
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Let (Formula presented) be the average gain of iteration steps by a single negative noise event acting in (Formula presented) The probability for (Formula presented) negative perturbation is (Formula presented) since it is caused by a noise sequence (Formula presented) Thus, the total gain of iterations by negative noise events is given by (Formula presented) e.g., it is just the gain of iterations for one single negative perturbation.
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20
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85037230131
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To be exact, for maximizing the mean residence time (Formula presented) the product of (Formula presented) and (Formula presented) should be optimized with respect to (Formula presented) However, a usually strong decrease of (Formula presented) near (Formula presented) dominates the optimization, which is why (Formula presented) is still a good approximation
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To be exact, for maximizing the mean residence time (Formula presented) the product of (Formula presented) and (Formula presented) should be optimized with respect to (Formula presented) However, a usually strong decrease of (Formula presented) near (Formula presented) dominates the optimization, which is why (Formula presented) is still a good approximation.
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