2013
DOI: 10.1088/1742-5468/2013/11/p11002
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Modified saddle-point integral near a singularity for the large deviation function

Abstract: Abstract. Long-time-integrated quantities in stochastic processes, in or out of equilibrium, usually exhibit rare but huge fluctuations. Work or heat production is such a quantity, of which the probability distribution function displays an exponential decay characterized by the large deviation function (LDF). The LDF is often deduced from the cumulant generating function through the inverse Fourier transformation. The saddle-point integration method is a powerful technique to obtain the asymptotic results in t… Show more

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Cited by 7 publications
(11 citation statements)
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References 44 publications
(111 reference statements)
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“…Although it naively seems subleading in the Cardy limit, it can provide a comparable contribution of order O( 11 2 ) when v D is sufficiently close to the singularity. Such saddle points are known as the saddle point near singularity [50,51]. Among the many possible singularities, the one that is closest to the contour C is located at e −v D = e −m/τ .…”
Section: Jhep05(2021)118mentioning
confidence: 99%
“…Although it naively seems subleading in the Cardy limit, it can provide a comparable contribution of order O( 11 2 ) when v D is sufficiently close to the singularity. Such saddle points are known as the saddle point near singularity [50,51]. Among the many possible singularities, the one that is closest to the contour C is located at e −v D = e −m/τ .…”
Section: Jhep05(2021)118mentioning
confidence: 99%
“…In this study, we adopt the modified saddle point integral method [21] and search for the modified saddle points λ * (p) by extremizing…”
Section: B Finite-time Correctionsmentioning
confidence: 99%
“…When the modified saddle point λ * is nearby the singularities, the integral along the steepest descent path should be performed with special care, because it becomes a non-Gaussian integral, described in detail in the Appendix of Ref. [21]. Now we present the results for different regions of p as follows.…”
Section: B Finite-time Correctionsmentioning
confidence: 99%
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