First detection of threshold crossing events under intermittent sensing
| Autor: | Aanjaneya Kumar, M. S. Santhanam, Aniket Zodage |
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| Rok vydání: | 2021 |
| Předmět: |
Work (thermodynamics)
Threshold crossing Physics - Physics and Society Statistical Mechanics (cond-mat.stat-mech) Computer science Stochastic process Event (relativity) Probability (math.PR) Process (computing) Time distribution FOS: Physical sciences Physics and Society (physics.soc-ph) Distribution (mathematics) Physics - Data Analysis Statistics and Probability FOS: Mathematics First-hitting-time model Algorithm Condensed Matter - Statistical Mechanics Mathematics - Probability Data Analysis Statistics and Probability (physics.data-an) |
| Zdroj: | Physical review. E. 104(5) |
| ISSN: | 2470-0053 |
| Popis: | The time taken by a random variable to cross a threshold for the first time, known as the first passage time, is of interest in many areas of sciences and engineering. Conventionally, there is an implicit assumption that the notional "sensor" monitoring the threshold crossing event is always active. In many realistic scenarios, the sensor monitoring the stochastic process works intermittently. Then, the relevant quantity of interest is the first detection time, which denotes the time when the sensor detects the random variable to be above the threshold for the first time. In this Letter, a birth-death process monitored by a random intermittent sensor is studied for which the first detection time distribution is obtained. In general, it is shown that the first detection time is related to and is obtainable from the first passage time distribution. Our analytical results display an excellent agreement with simulations. Furthermore, this framework is demonstrated in several applications-the susceptible infected susceptible compartmental and logistic models and birth-death processes with resetting. Finally, we solve the practically relevant problem of inferring the first passage time distribution from the first detection time. |
| Databáze: | OpenAIRE |
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