First-passage times in renewal and nonrenewal systems

Abstract

Fluctuations in stochastic systems are usually characterized by the full counting statistics, which analyzes the distribution of the number of events taking place in the fixed time interval. In an alternative approach, the distribution of the first-passage times, i.e. the time delays after which the counting variable reaches a certain threshold value, is studied. This paper presents the approach to calculate the first-passage time distribution in systems in which the analyzed current is associated with an arbitrary set of transitions within the Markovian network. Using this approach it is shown that when the subsequent first-passage times are uncorrelated there exist strict relations between the cumulants of the full counting statistics and the first-passage time distribution. On the other hand, when the correlations of the first-passage times are present, their distribution may provide additional information about the internal dynamics of the system in comparison to the full counting statistics; for example, it may reveal the switching between different dynamical states of the system. Additionally, I show that breaking of the fluctuation theorem for first-passage times may reveal the multicyclic nature of the Markovian network.

12 pages, 6 figures. Accepted for publication in Phys. Rev. E

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Cited by in corpus (7)

• First Passage Times for Continuous Quantum Measurement Currents
• Non-renewal statistics in quantum transport through the eyes of first-passage and waiting time distributions
• Dissipation at limited resolutions: Power law and detection of hidden dissipative scales
• Nonequilibrium thermodynamics of uncertain stochastic processes
• Multicyclic norias: a first-transition approach to extreme values of the currents
• Thermodynamics of nonequilibrium systems with uncertain parameters
• Synchronization of thermodynamically consistent stochastic phase oscillators